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ENGINEERING (1290 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 1205 Journals sorted alphabetically
3 Biotech     Open Access   (Followers: 8)
3D Research     Hybrid Journal   (Followers: 20)
AAPG Bulletin     Hybrid Journal   (Followers: 8)
AASRI Procedia     Open Access   (Followers: 15)
Abstract and Applied Analysis     Open Access   (Followers: 3)
Aceh International Journal of Science and Technology     Open Access   (Followers: 5)
ACS Nano     Hybrid Journal   (Followers: 299)
Acta Geotechnica     Hybrid Journal   (Followers: 7)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 7)
Acta Polytechnica : Journal of Advanced Engineering     Open Access   (Followers: 3)
Acta Scientiarum. Technology     Open Access   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Active and Passive Electronic Components     Open Access   (Followers: 7)
Adaptive Behavior     Hybrid Journal   (Followers: 10)
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi     Open Access  
Adsorption     Hybrid Journal   (Followers: 4)
Advanced Engineering Forum     Full-text available via subscription   (Followers: 9)
Advanced Journal of Graduate Research     Open Access  
Advanced Nonlinear Studies     Hybrid Journal  
Advanced Science     Open Access   (Followers: 6)
Advanced Science Focus     Free   (Followers: 5)
Advanced Science Letters     Full-text available via subscription   (Followers: 11)
Advanced Science, Engineering and Medicine     Partially Free   (Followers: 7)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 17)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 4)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Complex Systems     Hybrid Journal   (Followers: 7)
Advances in Engineering Software     Hybrid Journal   (Followers: 28)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 16)
Advances in Fuzzy Systems     Open Access   (Followers: 5)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 14)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 23)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 22)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Natural Sciences: Nanoscience and Nanotechnology     Open Access   (Followers: 29)
Advances in Nonlinear Analysis     Hybrid Journal  
Advances in Operations Research     Open Access   (Followers: 12)
Advances in OptoElectronics     Open Access   (Followers: 6)
Advances in Physics Theories and Applications     Open Access   (Followers: 16)
Advances in Polymer Science     Hybrid Journal   (Followers: 45)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 49)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Aerobiologia     Hybrid Journal   (Followers: 3)
African Journal of Science, Technology, Innovation and Development     Hybrid Journal   (Followers: 6)
AIChE Journal     Hybrid Journal   (Followers: 35)
Ain Shams Engineering Journal     Open Access   (Followers: 5)
Akademik Platform Mühendislik ve Fen Bilimleri Dergisi     Open Access   (Followers: 1)
Al-Nahrain Journal for Engineering Sciences     Open Access  
Alexandria Engineering Journal     Open Access   (Followers: 1)
AMB Express     Open Access   (Followers: 1)
American Journal of Applied Sciences     Open Access   (Followers: 27)
American Journal of Engineering and Applied Sciences     Open Access   (Followers: 10)
American Journal of Engineering Education     Open Access   (Followers: 11)
American Journal of Environmental Engineering     Open Access   (Followers: 16)
American Journal of Industrial and Business Management     Open Access   (Followers: 25)
Annals of Combinatorics     Hybrid Journal   (Followers: 4)
Annals of Pure and Applied Logic     Open Access   (Followers: 3)
Annals of Regional Science     Hybrid Journal   (Followers: 7)
Annals of Science     Hybrid Journal   (Followers: 7)
Antarctic Science     Hybrid Journal   (Followers: 1)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applicable Analysis: An International Journal     Hybrid Journal   (Followers: 1)
Applied Catalysis A: General     Hybrid Journal   (Followers: 6)
Applied Catalysis B: Environmental     Hybrid Journal   (Followers: 20)
Applied Clay Science     Hybrid Journal   (Followers: 6)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 13)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4)
Applied Nanoscience     Open Access   (Followers: 8)
Applied Network Science     Open Access   (Followers: 3)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Physics Research     Open Access   (Followers: 6)
Applied Sciences     Open Access   (Followers: 3)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Arab Journal of Basic and Applied Sciences     Open Access  
Arabian Journal for Science and Engineering     Hybrid Journal   (Followers: 5)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
Archives of Foundry Engineering     Open Access  
Archives of Thermodynamics     Open Access   (Followers: 9)
Arkiv för Matematik     Hybrid Journal   (Followers: 1)
ASEE Prism     Full-text available via subscription   (Followers: 3)
Asia-Pacific Journal of Science and Technology     Open Access  
Asian Engineering Review     Open Access  
Asian Journal of Applied Science and Engineering     Open Access   (Followers: 1)
Asian Journal of Applied Sciences     Open Access   (Followers: 2)
Asian Journal of Biotechnology     Open Access   (Followers: 9)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Current Engineering & Maths     Open Access  
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 8)
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
ATZagenda     Hybrid Journal  
ATZextra worldwide     Hybrid Journal  
Australasian Physical & Engineering Sciences in Medicine     Hybrid Journal   (Followers: 1)
Australian Journal of Multi-Disciplinary Engineering     Full-text available via subscription   (Followers: 2)
Automotive Experiences     Open Access  
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Avances en Ciencias e Ingeniería     Open Access  
Balkan Region Conference on Engineering and Business Education     Open Access   (Followers: 1)
Bangladesh Journal of Scientific and Industrial Research     Open Access  
Basin Research     Hybrid Journal   (Followers: 5)
Batteries     Open Access   (Followers: 6)
Bautechnik     Hybrid Journal   (Followers: 1)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 28)
Beni-Suef University Journal of Basic and Applied Sciences     Open Access   (Followers: 4)
BER : Manufacturing Survey : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Motor Trade Survey     Full-text available via subscription  
BER : Retail Sector Survey     Full-text available via subscription   (Followers: 1)
BER : Retail Survey : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Survey of Business Conditions in Manufacturing : An Executive Summary     Full-text available via subscription   (Followers: 3)
BER : Survey of Business Conditions in Retail : An Executive Summary     Full-text available via subscription   (Followers: 3)
Beyond : Undergraduate Research Journal     Open Access  
Bhakti Persada : Jurnal Aplikasi IPTEKS     Open Access  
Bharatiya Vaigyanik evam Audyogik Anusandhan Patrika (BVAAP)     Open Access   (Followers: 1)
Bilge International Journal of Science and Technology Research     Open Access  
Biofuels Engineering     Open Access   (Followers: 1)
Biointerphases     Open Access   (Followers: 1)
Biomaterials Science     Full-text available via subscription   (Followers: 11)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering     Hybrid Journal   (Followers: 1)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering Letters     Hybrid Journal   (Followers: 5)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 20)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Biomedical Engineering: Applications, Basis and Communications     Hybrid Journal   (Followers: 5)
Biomedical Microdevices     Hybrid Journal   (Followers: 8)
Biomedical Science and Engineering     Open Access   (Followers: 4)
Biomicrofluidics     Open Access   (Followers: 5)
BioNanoMaterials     Open Access   (Followers: 2)
Biotechnology Progress     Hybrid Journal   (Followers: 41)
Bitlis Eren University Journal of Science and Technology     Open Access  
Boletin Cientifico Tecnico INIMET     Open Access  
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Boundary Value Problems     Open Access   (Followers: 1)
Brazilian Journal of Science and Technology     Open Access   (Followers: 2)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Bulletin of Canadian Petroleum Geology     Full-text available via subscription   (Followers: 13)
Bulletin of Engineering Geology and the Environment     Hybrid Journal   (Followers: 14)
Bulletin of the Crimean Astrophysical Observatory     Hybrid Journal  
Cahiers Droit, Sciences & Technologies     Open Access  
Calphad     Hybrid Journal   (Followers: 2)
Canadian Geotechnical Journal     Hybrid Journal   (Followers: 31)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 43)
Carbon Resources Conversion     Open Access   (Followers: 1)
Case Studies in Engineering Failure Analysis     Open Access   (Followers: 6)
Case Studies in Thermal Engineering     Open Access   (Followers: 6)
Catalysis Communications     Hybrid Journal   (Followers: 6)
Catalysis Letters     Hybrid Journal   (Followers: 2)
Catalysis Reviews: Science and Engineering     Hybrid Journal   (Followers: 7)
Catalysis Science and Technology     Free   (Followers: 8)
Catalysis Surveys from Asia     Hybrid Journal   (Followers: 3)
Catalysis Today     Hybrid Journal   (Followers: 7)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cellular and Molecular Neurobiology     Hybrid Journal   (Followers: 3)
Central European Journal of Engineering     Hybrid Journal  
Chaos : An Interdisciplinary Journal of Nonlinear Science     Hybrid Journal   (Followers: 3)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chinese Journal of Engineering     Open Access   (Followers: 2)
Chinese Science Bulletin     Open Access   (Followers: 1)
Ciencia e Ingenieria Neogranadina     Open Access  
Ciencia en su PC     Open Access   (Followers: 1)
Ciencia y Tecnología     Open Access  
Ciencias Holguin     Open Access   (Followers: 3)
CienciaUAT     Open Access   (Followers: 1)
Cientifica     Open Access  
CIRP Annals - Manufacturing Technology     Full-text available via subscription   (Followers: 11)
CIRP Journal of Manufacturing Science and Technology     Full-text available via subscription   (Followers: 13)
City, Culture and Society     Hybrid Journal   (Followers: 22)
Clean Air Journal     Full-text available via subscription   (Followers: 1)
Clinical Science     Hybrid Journal   (Followers: 9)
Coal Science and Technology     Full-text available via subscription   (Followers: 3)
Coastal Engineering     Hybrid Journal   (Followers: 11)
Coastal Engineering Journal     Hybrid Journal   (Followers: 6)
Coatings     Open Access   (Followers: 4)
Cogent Engineering     Open Access   (Followers: 3)
Cognitive Computation     Hybrid Journal   (Followers: 4)
Color Research & Application     Hybrid Journal   (Followers: 3)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Combustion, Explosion, and Shock Waves     Hybrid Journal   (Followers: 15)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Information Science and Management Engineering     Open Access   (Followers: 4)
Communications in Numerical Methods in Engineering     Hybrid Journal   (Followers: 2)
Components, Packaging and Manufacturing Technology, IEEE Transactions on     Hybrid Journal   (Followers: 28)
Composite Interfaces     Hybrid Journal   (Followers: 7)
Composite Structures     Hybrid Journal   (Followers: 291)
Composites Part A : Applied Science and Manufacturing     Hybrid Journal   (Followers: 225)
Composites Part B : Engineering     Hybrid Journal   (Followers: 262)
Composites Science and Technology     Hybrid Journal   (Followers: 200)
Comptes Rendus Mécanique     Full-text available via subscription   (Followers: 2)
Computation     Open Access   (Followers: 1)
Computational Geosciences     Hybrid Journal   (Followers: 17)
Computational Optimization and Applications     Hybrid Journal   (Followers: 8)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Science and Engineering     Open Access   (Followers: 19)
Computers & Geosciences     Hybrid Journal   (Followers: 31)
Computers & Mathematics with Applications     Full-text available via subscription   (Followers: 9)
Computers and Electronics in Agriculture     Hybrid Journal   (Followers: 5)

        1 2 3 4 5 6 7 | Last

Journal Cover
American Journal of Engineering and Applied Sciences
Number of Followers: 10  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1941-7020 - ISSN (Online) 1941-7039
Published by Science Publications Homepage  [31 journals]
  • Automatic Identification of Molecules in a Thin-Film Extract Combined with

    • Abstract: This paper presents the automation of the thin-layer chromatography technique whose separation and identification of molecules present in a mixture are currently done manually and laboriously. We have therefore found an interest in automating this technique. In this part, the method implemented comprises 2 steps. First we proceeded to the segmentation of the spots obtained on the chromatographic plate. We then developed a program to identify families of molecules such as coumarins, terpenes, tannins, flavonoids, polyphenols, etc. by calculating segmentation parameters such as standard deviation, entropy, mean pixel intensity and frontal ratio from an algorithm on the matlab software. Finally our results have been compared to the results obtained by the traditional identification technique in laboratories. Some similarity between the two results obtained shows the reliability and the robustness of our technique.
  • Influence of Bitumen Addition on Sabkha Soil Shear Strength
           Characteristics under Dry and Soaked Conditions

    • Abstract: High salt content in sabkha soils means they are significantly affected by changes in water content. Dissolution of salts within sabkha soil mass decreases their shear strength upon inundation with water, resulting from the destruction of cementation bonds between soil particles. Therefore, successful improvement for these soils must be based on reducing the dissolution of sabkha salts to minimize their unfavorable properties. This paper investigated the effect of bitumen addition as a stabilizing waterproofing agent on the shear strength properties of sabkha soil. 0%, 4%, 8% and 10% bitumen and sabkha soil were mixed thoroughly. The experimental program on the bitumen-mixed sabkha soils included physical and chemical soil characterization, modified compaction tests and direct shear strength tests. The results showed that bitumen addition modified the physical properties by up to 8%. Under dry conditions, the ultimate shear strength and the horizontal shear displacement increased with bitumen addition. Under soaked conditions, the improvement in shear strength properties was pronounced. The shear strength parameters for the natural sabkha soil fell upon soaking, while the bitumen-mixed sabkha soil samples maintained their integrity. The adsorbed bitumen layer on the cemented soil lumps acted as a waterproofing agent that reduced salt dissolution and alternatively, the shear strength.
  • Chilled Water VAV System Optimization and Modeling Using Artificial Neural

    • Abstract: in 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for a sustainable future. The cooling coil is an essential component of HVAC systems. The accurate prediction of a cooling coil performance is important in many energy solution applications. This paper discusses the modeling methodologies of a chilled water cooling system using artificial neural networks. The objective of this research paper is to properly develop the model to predict the cooling coil performance accurately. This study utilized data from an existing building located in North Carolina, USA. Data such as chilled water supply temperature, airflow rate, mixture and supply air temperatures and humidity ratios, etc., are collected over the course of three months for developing and testing the model. Multiple neural network structures are tested along with multiple input and output delays to determine the one yielding the optimal results. Moreover, an optimization technique is developed to select premier model that can predict results accurately validated by the actual data. The observations from this research validates the use of artificial neural network model as an accurate tool for predicting the performance of a chilled water air handling unit.
  • Conversion of a Conventional Vehicle into a Battery-Super Capacitor Hybrid

    • Abstract: The use of a super capacitor pack parallel with a battery pack in electric vehicles can have effects on the battery life as well as on the driving range of the vehicle. In this research a conventional IC engine vehicle was converted into a motor driven electric vehicle. The converted vehicle was tested on a drive cycle defined to match urban pattern. To extend the range of the converted vehicle, a novel battery-super capacitor system had been proposed with a novel algorithm to determine when to charge and discharge batteries and super capacitors, according to the driving conditions such as acceleration and deceleration. Software simulations were performed taking the Urban Dynamometer Drive Schedule (UDDS) as the test drive cycle. Simulations results of the proposed system and the conventional battery electric vehicle system were compared to claim the performance of the proposed algorithm. The novel system is capable of reducing the strain on the batteries while extending the range of the vehicle compared to the conventional battery electric vehicle.
  • Real-Time Data Capture Model for Accelerated Payment of Small-Scale

    • Abstract: Most developing countries especially in Africa face a number of challenges in the area of food security. These challenges include proliferation, theft, poor inventory system, poor transport and communication network. Zambia is one of the countries with these challenges and has been losing millions of dollars each year due to various challenges in managing the inventory system. In this paper, we are proposing a model for the inventory system based on Quick Response (QR) and cloud computing for real-time capture of grain bags brought in by farmers at the satellite depot. The government supplies farming input to local farmers and buys the grain back from the farmers. This study is looking at part of the buying process which requires the movement of grain from the local farmer to the government. The grain forms part of the national food storage reserve. The proposed system first requires tagging the grain bags then capture the details of the farmer and attach to the grain bags. Our proposed model based on cloud technologies is integrated with the mobile application used to read the QR code attached to the grain bags. These details are then linked to the details of the farmer in the database. These captured data regarding the farmer and grain bags supplied at the satellite depot are made available to the decision makers in real-time. Out results show that the proposed model will helps to address a number of challenges that the current system has been facing. These include accelerated process of paying the local farmers supplying grain to the government which used to take months. It will also help to give the grain stock statistics in real time per region and the country at large. This model will be very useful for most developing countries in managing their grain.
  • Healthcare Driven by Big Data Analytics

    • Abstract: Text messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to detect complicated nonlinear relationships within huge datasets. Pharmacokinetics uses genetics to individualize drug therapy. Because genetic and pharmacological analysis often require large scale computation, Big Data analytics has shown potential in this area. Personal data from various sensors can often be used for making health and treatment recommendations, taking appropriate action for a patient’s lifestyle choices and early diagnosis vital to advancing quality of care. Big data techniques such as hadoop and spark have been used in various areas of healthcare and big data analytics has been employed in great datasets to expose hidden patterns or correlations for effective decision-making. Challenges of big data in healthcare, concerned with gathering material from multifaceted heterogonous patient sources still exist, although hadoop has been employed as the processing unit for heterogeneous data gathered from various body sensors. The most critical necessity in a healthcare big data system is the data security; however, users are continuously applying big data–driven strategies to solve the various problems and challenges.
  • Geometric-Cinematic Synthesis of Planetary Mechanisms

    • Abstract: The simple planetary mechanism is geometrically synthesized by determining the four tooth numbers of the component wheels. There are four main conditions that if not obeyed the mechanism will be blocked, will work with interruptions, or will not work at all. (a) The first condition in the geometric-kinematic synthesis of a simple planetary is the uniform loading of satellites (satellite groups) (or the simultaneous engagement condition). (b) The coaxiality condition is the second one to be observed, otherwise, the mechanism is inoperative. (c) The condition for achieving a required input-output transmission ratio is the third major condition, which results from the necessity of conceiving the mechanism according to the required operation. (d) The fourth imposed condition is that of (good) neighboring (of the satellite groups), which is necessary for the larger satellites belonging to two groups of neighboring satellites not to be touched, which is why it is necessary to introduce the additional condition, neighborhood.
  • Modeling, Simulation and Optimization of Steel Sandwich Panels under Blast

    • Abstract: Honeycomb sandwich panels are commonly preferred in structural engineering as a design element meant to protect against blast loading, and this owes primarily to the fact that they are light in weight (due to the voids present) whilst carrying high energy absorption capacities. A widespread surge in acts of terrorism, and the resultant threat posed to structures, presents structural engineers with unique challenges pertaining to the design of blast-resistant structures that are both safe and reliable. Researchers worldwide have thus taken to closely studying the effects of sudden loads effected by detonative forces on certain elements and design concepts. To this end, an emergent design concept with proven efficacy is the honeycomb sandwich panel. Due to the practical difficulties associated with the study of explosive materials and replicating blast loads, software-based modeling and simulation may be favorable as a functional and convenient alternative. To this end, this work uses the finite element package ABAQUS® to study the behavior of hexagonal and squared honeycomb steel sandwich panels under the explosive effects of different amounts of trinitrotoluene (TNT). The results of finite element modeling of a specific honeycomb configuration are initially validated by comparing them with the experimental results from literature. Several configurations including different geometrical properties of the honeycomb wall are then investigated and the results are compared. Consequently, an optimization study is conducted with an objective to reduce the plastic strain of the back plate while the wall cell thickness is taken as a variable. Finally, the effectiveness of the core shape and wall thickness is discussed and conclusions are made.
  • Numerical Study on Coupling Beam Retrofitted Using CFRP and GFRP Sheets

    • Abstract: One of the most useful way to resist against earthquake is using coupling beam of steel shear walls. The steel shear wall’s behavior depends on several factors such as stiffness, ductility, strength and so on. But, it has the shear cracks in coupling beam. In this paper, the effect of Carbon Reinforced Fiber Polymer (CFRP) on coupling beams has been evaluated to find out the improvement in ductility, stiffness and its strength. In order to do this research, the commercial edition of ABAQUS software is used. The results show that, using CFRP sheets can improve the load capacity of coupling beams.
  • Investigating the Behavior of Steel Composite Shear Wall with Corrugated
           Plate under Lateral Load

    • Abstract: The steel shear wall system has been considered as a structural system over the past few decades. This issue deals with wind and earthquake lateral forces due to its hardness, loading capacity and plasticity. This type of the system, with the use of external hardness resulting from the geometric shape of the waves, has better buckling strength than a hardened and smooth mood. In this paper, at first, the experimental test is validated with ABAQUS software which simple rectangular steel plate was used in the shear wall so that both cyclic and monotonic loading conditions have been compared Since then the concrete shear wall behavior has been evaluated using sinusoidal steel plates with different variables such as concrete compressive strength 25 and 35 MPa thickness of corrugated plate including 0.8 and 1 mm and wave height 25 and 50 mm are considered as variables. The interaction between concrete and steel is applied using Tie and the base of the wall is fixed. Moreover, the sample is loaded in accordance with the ATC24 instruction with a displacement of 85 mm using displacement/rotation by activating U1 direction as lateral load. Generally, eight different models have been evaluated and the pushover graphs are compared based on thickness and concrete strength. The results show that increasing the thickness, the wave height and the compressive strength of the concrete leads to increased resistance and ductility.
  • A Survey on Recent Applications of Machine Learning with Big Data in
           Additive Manufacturing Industry

    • Abstract: Additive Manufacturing (AM) which is also known as 3D printing technology; is recognized as a new paradigm for manufacturing industry. Additive manufacturing is rapidly expanding across different sectors such as healthcare, electronics, automotive, science and engineering, education, dental, etc. Machine Learning and Big Data are both emerging technologies which are becoming popular and gaining more attention from the industries and academic. Machine Learning is a growing field of Artificial Intelligence (AI) that allows systems to learn from data, identify patterns and make decisions with very little human involvement. On the other hand, Big Data is referred to as datasets whose size is more than the capacity of what a conventional database software tools can capture, store, manage and analyze. Lately, Machine Learning techniques and Big Data Analytics are being applied to various applications of additive manufacturing to monitor building process and enhance decisions making using data generated through different sensors or cameras. This paper explores recent applications of Machine Learning with Big Data in the field of additive manufacturing, for instance, application of machine learning in detecting defect or anomaly during build process in additive manufacturing/3D printing machine.
  • Modeling of Reinforced Concrete Frames with Infill Walls Under Cyclic
           Loading Strengthening with CFRP

    • Abstract: Nowadays, using infill isolators in Reinforced Concrete (RC) structures is very common. In earlier research this infill isolators are usually considered as non-structural elements, but in recent researches it was demonstrated that infill has considerable effects on natural period, stiffness, strength and overall behavior of structure specially when it is subjected to seismic ground motions. In this study a one-bay two-story masonry infilled RC frame is considered for a laboratory sample and various layouts of Carbon Fiber Reinforced Polymer (CFRP) layers have been used to retrofit and strengthen of masonry infill wall. These specimens have been modeled in ABAQUS and analyzed under cyclic loading with Finite Element Method (FEM). FEM analysis have been carried out using ABAQUS/Explicit software and analysis type have been chosen dynamic explicit. Finally, results of Finite Element Analysis have been compared against the experimental results. The effect of different CFRP configurations of retrofitting on ductility, ultimate lateral load capacity, stiffness and energy dissipation capacity of specimens have been discussed. Thereupon the best configuration has been proposed in terms of cost effectiveness and ductility. The results showed that in the frame with infill wall comparing with bare frame, load capacity increased about 277.35% and by comparing infilled frame with or without CFRP, it can be concluded that using CFRP can increase lateral load capacity of masonry infilled RC frames.
  • 3D Printing of Porous Scaffolds for Medical Applications

    • Abstract: Custom engineered scaffolds that mimic the physiology of native tissue is an emerging need for successful regenerative medicine. One of the key challenges in current manufacturing methods is the lack of controlled porosity throughout the scaffold structure. In this research, our group explores the fabrication of tissue engineering scaffolds using 3D printing technology. The fused deposition modeling method was utilized to fabricate scaffolds with different unit-cell designs and in-fill densities. Specimens were fabricated in Acrylonitrile-Butadiene-Styrene (ABS) material for different pattern designs which include linear, hexagonal, diamond and Moroccan star. The experimental phase of this research revealed the influence unit-cell design, in-fill density and pattern orientation on the porosity of the specimens. Computational modeling using finite element analysis was conducted to study the relationship between structure, porosity and mechanical strength of the scaffolds. A comparative analysis was performed for ASTM standard specimens for tensile and compression tests for von Mises stress and displacement values. The results indicated that diamond unit-cell pattern had the highest stress and displacement. In contrast, the hexagonal honey-comb pattern had the best mechanical strength, especially for higher porosities. Specimens loaded in the compressive mode had 50% lower stress values as compared to tensile tests. Thus, by manipulating the unit-cell type, in-fill density and pattern orientation one can fabricate a scaffold structure that balances cellular function with the load-bearing requirement for a specific application. This research lays a foundation for evaluating additive manufacturing technologies for biomedical implants by manipulating both process parameters and material properties.
  • Elementary Structure of Matter can be Studied with New Quantum Computers

    • Abstract: Much has been talked about quantum computers. Today they are working on difficult simulations, so we can already congratulate the college of researchers at the Oak Ridge National Laboratory as the world's first to successfully simulate an atomic nucleus using a quantum computer. The results that were published in the physical examination letters demonstrate the huge capacity of quantum systems to calculate the problems of nuclear physics and to be able to be successfully used in the future for special and complex simulations. It is already known that quantum calculus, which is based on the quantum principles of matter and which was proposed by American physicist Richard Feynman in the early 1980s, unlike the ordinary bits of normal computers today, uses the qubit units used by quantum computers to store information in two-state systems, such as electrons or photons, considered simultaneously in all possible quantum states (essentially a phenomenon known as overlapping). In October 2017, a multidisciplinary ORNL team began working on codes to perform various simulations on quantum computers such as IBM QX5 and Righetti 19Q within a DOE Quantum Testbed Pathfinder project in an effort to verify and validate various scientific applications on different types of quantum hardware. Today, quantum computers have potential applications in cryptography, artificial intelligence and weather forecasting, as each additional qubit clings in some way inextricably from the others, thus exponentially increasing the number of possible results for the final measured state. Obviously, this huge benefit also has negative effects on the system, because errors can in turn exponentially increase the size of the problem and the final results even. However, it is hoped that in the future on the basis of much-improved hardware, researchers will be able to solve problems that cannot be solved today using current calculation methods. In the present paper the authors propose an original method of rapid theoretical determination with great precision of the dimensions of all elementary particles, the method which, although predicting results similar to those obtained by other theoreticians, still has the advantage of its simplicity, of its general applicability, that is of its universality and especially this new method is a precious tool in the work of scientists worldwide to understand matter at its elementary level. Even though we would have expected that the size of a deuteron would be larger (double) than that of one component particle (of a proton or neutron), at the same velocity, the theory (20-21) demonstrates the opposite. By fusing two free nucleons, a proton and a neutron, a deuterium nucleus is obtained with smaller dimensions than its two components, which makes the energy of rejection between two Deuteron cores much larger than we would have waited. That's why the fusion reaction between two Deuterons is even more difficult than was suspected, even when they are accelerating.
  • CFD Simulation of Biogas Fired Clay Brick Kiln

    • Abstract: More strong and quality clay bricks are obtained if and only if bricks are fired with uniform optimum temperature during clay brick firing process in the clay brick kiln. To insure this transient temperature of fluegas and brick are analyzed using CFD simulation during clay brick firing in the clay brick kiln. In the simulation, 3-D geometrical model of fluegas and clay brick with inlet boundary of velocity and wall condition used respectively. Contour and vector of total temperature of brick and fluegas at different flow time is presented. In addition, temperature variation of selected brick and fluegas at different flow time is analyzed.
  • Cold Crystallization Behavior of a Zr44-Ti11-Cu10-Ni10-Be25 Metal Glassy

    • Abstract: Liquid crystals, a substance that flows like a liquid but has some degree of ordering in the arrangement of its molecules. "Depending on temperature or the presence of an electric potential difference, molecules in a liquid crystal can either be randomly, partially or completely aligned."Isothermal cycles of the metalized metallic alloy Zr44-Ti11-Cu10-Ni10-Be25 (cold crystallization obtained by heating the glassy glass samples) were investigated in this study in the metastable state of the overheated liquid metal at elevated temperatures above the glass transition. Complex crystallizing behaviors with multiple and selective exothermic peaks crystallization of higher mobility atoms from an alloy induced by isothermal annealing have been observed to result in an experimentally observed increase in temperature required to induce glass metal relaxation (vitreous transition). Dynamic DSC analysis indicated that only two atomic species present in the metastable liquid are involved in the recrystallization process below 450-470°C. Isothermic isolation in the temperature range between 400° and 450°C was chosen for subsequent investigation of the thermal kinetics occurring in the supercooled chilled liquid. The activation energies associated with the two crystallization processes are, respectively, -181 kJ/mol and -262 kJ/mol.
  • Mechanically Stimulated Osteoblast Cells Growth

    • Abstract: The bones need to be built and then permanently restored to keep them functioning properly. Considering the multiple bone functions, their vitality is essential both to maintain the body and move it and to maintain its health and vigor. When most bones begin to age and have no vital function, the man also begins to age, lose water, minerals, electrolytes, energy, food. We can firmly affirm that healthy bones maintain an excellent health of the human body. All of the bones in the young have the role of deposit, water, electrolyte, minerals, energy, substances necessary for the growth and repair of human cells and organs, a part (red marrow) that permanently produces the vital blood for the organism with the three vital cell types: red (body oxygenation), white (which defends the body) and platelets (it clogs the blood when a wound appears). More recently, it is also known that the red marrow is responsible for the stem cells production, cells which are so necessary to the body because they can adapt to anywhere in the body in any organ, rapidly generating the various types of cells needed. In the bones of the young and most of the adult, all these functionalities appear, so that when an accident requires a human operation it is good to resort to mild and specialized interventions so that the bone in question can quickly recover all features. Otherwise, the body of that person has a major future health and integrity problem, as is the case with older people or those with serious bone diseases. The research develops and tests new hybrid biomimetic materials that work as mechanically stimulating “scaffolds” to promote early regeneration in implanted bone healing phases. A biomimetic nanostructured osteoconductive material coated apparatus is presented. Bioinspired approaches to materials and templated growth of hybrid networks using self-assembled hybrid organic-inorganic interfaces are finalized to extend the use of hybrids in the medical field. Combined in vivo, in vitro and computer-aided simulations have been carried out. Such multidisciplinary approach allowed us to explore many novel ideas in modeling, design and fabrication of new nanostructured biomaterials and scaffolds with enhanced functionality and improved interaction with OB cells. In vivo tests of Titanium screw implanted in rabbit, tibiae have shown that mechanical stimulation was induced by the presence of bioactive hybrid perimplantar scaffold resulting in a differentiation and development of mesenchymal tissues. In order to investigate the relationship between bone growth and applied mechanical loading (strain), a piezoelectrically driven cantilever and a computer-controlled apparatus for "in vitro" tests has been developed and presented.
  • Adsorption Behavior of Bone Morphogenetic Protein-2 on a Graphite
           Substrate for Biomedical Applications

    • Abstract: The interaction of proteins with biomaterials plays an important role for several biomedical applications including implants and tissue engineering. Although different experimental approaches have been explored, the investigation of the molecular models for protein-substrate interaction is warranted to control of cellular functions. In this study, Molecular Dynamics (MD) simulations were used to study the adsorption behavior of Bone Morphogenetic Protein-2 (BMP-2) on a hydrophobic graphite substrate. The influence of four different orientations of the protein with the substrate was evaluated based on their adsorption behavior. Results indicate a strong influence of the initial configuration on the adsorption. Protein unfolding was observed for most orientations with preferential binding of residues within the vicinity of the substrate. Most of the secondary structure of the protein was preserved during the simulation with a minor reduction of β-sheet structures. This research provides a detailed understanding of the interaction of BMP-2 with biomaterial surfaces.
  • Investigating Seismic Behavior of Reinforced Concrete Columns with SFRP
           Using Finite Element Method

    • Abstract: Currently, various methods have been used for repairing and retrofitting reinforced concrete columns including Steel Fiber Reinforced Polymer (SFRP) jackets in order to improve load bearing capacity. However, the enclosure mechanism is less known by consideration of the effects of slender columns which needs much more studies. Avoiding the buckling of a slender Reinforced Concrete (RC) column against the compressive axial force using SFRP is the main aim of this research. One of the parametrical studies in this paper is the influence of the number of layers that is investigated by Finite Element Method (FEM). Accordingly, in this paper, several RC columns are modeled under the Manjil earthquake record and the force-displacement curves of each model are numerically calculated. The columns are divided into three groups: the first group is non-SFRP and the subsequent groups are reinforced by one and two layers of SFRP. At first, three-dimensional models of the columns were prepared by ABAQUS finite element software and then by applying axial load and seismic forces, the parametric effect on behavior of the columns has been investigated. The results show that the retrofitting of the column with SFRP increases the flexural and stiffness, which plays a significant role in reducing the buckling of the RC columns.
  • An Intelligent Control System for an Electrically Power Assisted Cycle

    • Abstract: This paper is focused on proposing an enhanced controller for a hybrid drive mechanism in an Electrically Power Assisted Cycle (EPAC) to improve the battery energy utilization while maintaining the rider’s physical comfort. A real time data acquisition system was set up on a conventional bicycle using sensors and interfacing modules to verify the operating parameters. A fuzzy logic based novel control algorithm was developed upon the acquired data, to overcome the limitations in proportional assist control aided EPACs. The fuzzy controller was implemented using a novel ‘iControl’ algorithm. The developed control algorithm was installed on the newly developed EPAC and practically implemented. The developed algorithm showed the capability to improve range via better energy utilization and maintain rider comfort at the same time.
  • Nondestructive Test Using a 3D Computer Vision System for Damage Detection
           of Structures

    • Abstract: Structures that do not have a definitive map nor a clearly known state of health may exist underground, beyond our reach and in unsuitable environments. Nuclear facilities contain underground tunnels that exhaust hazardous gases. Industry has miles of sewage lines beneath it that emit flammable and toxic gases. Regular inspection and maintenance is an essential part of failure prevention, however, these fatal environments have prohibited proper inspection of such infrastructure. Thus, the future of computer vision is vital to quality inspection. A strategically designed robot can be trained to visually inspect any structure, detect if there is a damage and decide if the damage is critical. Likened to any good inspector, the robot must be trained to investigate the nature of the damage and to alert the user of potential failures. This article discusses robotic training to detect damage in concrete structures and make decisions to the significance and impact of the defect.
  • Analytical Study of Bending Behavior for Concrete Beams with T-Shaped
           Cross Section using Composite and Steel Bars

    • Abstract: Todays, instead of steel reinforcements, Fiber Reinforced Polymer (FRP) rebars have been using in the reinforced concrete structures. By consideration of different strain-stress behavior between steel and composite material, it is necessary to evaluate the difference of these two materials inside of RC beams. In this research, twelve reinforced concrete T-shape beams were modeled using ABAQUS finite element software. Six of the beams performed as T-shape in which three of them reinforced with FRP rebars and three others were reinforced with steel rebars. As the same as first six beams property, other six beams defined by rectangular performance. The nonlinear static method was used to analysis and load-displacement diagram had been taken to compare the results. The results showed that, the stiffness of T-shape beam is much more than the beams with rectangular performance. Moreover, by comparing FRP and steel rebars, using the FRP rebars reduced stiffness and increased the load capacity.
  • Design of an 8-bit Incremental ADC

    • Abstract: This technical report demonstrated a design an 8-bit switched-capacitor incremental ADC in UMC 0.13 μm CMOS. The design requirements are Supply voltage: 1.2V, Reference voltage (Vref): 1V, Resolution: 8 bits, Output data rate: 100 samples per second and Input voltage range: 0V to 1V. Furthermore, the determine the architecture of incremental A/D converter involved in fuzzy theory. The output waveforms of the clock generator plot with a proper time scale. In the result, we showed the digital outputs and plot the waveforms at the comparator’s output for three DC input values: One near 0V, one near Vref/2 and one near Vref. The exact DC values give the offset and gain errors of proposed circuit, supported by simulation results. We also simulated the DNL and INL using a histogram method and give the plots of the DNL and INL of the ADC for all output. Finally, we conclude the case report with a discussion of results (comparison, problems, solution, possible improvements, etc.).
  • Advanced Manufacturing for Novel Materials in Industrial Design

    • Abstract: The research presented starts with a focus on Smart Materials, or rather materials with properties that react to external stimuli (temperature, electric or magnetic field, pH or mechanical stress, for example) related to the environmental changes, modifying one or some of their own properties (mechanical, electrical, appearance, etc.). Afterward, one category of Smart Materials, Shape Memory Alloys (SMAs), has been investigated with the aim to develop an industrial application. In particular, a smart and active shadow system for thermal comfort of urban or indoor environments, based on the valorization of the unique property of SMAs to change their shape depending on the temperature (SME, Shape Memory Effect). Without the need to use expensive and complex mechanical system composed of many parts to assemble and characterized by higher cost of energy required for its functioning and its manufacturing. In order to develop the system, SMAs like Nitinol (Ni-Ti) wires with a diameter of 0,75 mm (Austenite finish 85°C) have been studied. Particularly, DSC (Differential Scanning Calorimetry) thermal analysis, aimed to investigate a characteristic range of temperature for martensitic and austenitic transformations and get data to plan more suitable and optimized procedures, conditions and parameters for heat treatments needed for Nitinol training have been carried out. In parallel, CAD models have been developed to simulate and better understand forces needed for a proper functioning of the smart shadow system, to predict its behavior, to have a support for a correct choice of SMA wires (selecting wires with a diameter suitable to produce a force high enough to produce strains), to decide wires positioning and quantity. Finally, for “as-drawn” Nitinol wires, using the data experimentally collected with DSC thermal analysis, SME training procedures have experimented. With the wires, programmed to have a two-way memory effect, using milling and additive technologies, prototypes where the wires are embedded in casted polymers (rubber silicone or polyurethane) or assembled to parts manufactured with additive technologies have been built, in order to test and enhance product functioning and manufacturability. The results obtained for the application, although the Smart Shadow System is not completely engineered and other evolutionary steps for it are possible, show that the use of SMAs gives the possibility to have an active system able to be weather responsive, ensuring a significant shape memory effect depending on the temperature. This advanced property, in fact, gives the possibility, optimizing functioning parameters (temperatures, thicknesses, geometry, structure), to have a sensitive, adaptive and smart system that can ensure the best thermal condition for any meteorological situation.
  • Structural Analysis of Spatial Mechanisms

    • Abstract: The paper briefly presents how structural analysis is performed on spatial mechanisms, presenting a practical application in the mechatronics of parallel robots, especially in Steward platforms. Structural analysis always helps to better understand the phenomena and especially the way the mechanisms are made. At spatial mechanisms the problems are a little more complex than those raised by plane mechanisms. For this reason, the present paper tries to fill a gap in the field, especially as very few specialists in the theory of mechanisms of robots and machines still work today such structures on the basis of the theoretical knowledge, the modalities and working methods being approached being the most often based on approximate calculations, empirical formulas, or simply on experimental findings, woven with computerized theoretical modeling, but lacking in the essence of the underlying theory that is no longer so well-known. The structure and geometry of the mechanisms represent basically the basic elements that need to be studied primarily when we want to analyze such a mechanism already built and especially when we want to synthesize a new one.
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
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