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  Subjects -> ENGINEERING (Total: 1957 journals)
    - CHEMICAL ENGINEERING (150 journals)
    - CIVIL ENGINEERING (146 journals)
    - ELECTRICAL ENGINEERING (84 journals)
    - ENGINEERING (1124 journals)
    - ENGINEERING MECHANICS AND MATERIALS (284 journals)
    - HYDRAULIC ENGINEERING (43 journals)
    - INDUSTRIAL ENGINEERING (53 journals)
    - MECHANICAL ENGINEERING (73 journals)

ENGINEERING (1124 journals)            First | 2 3 4 5 6 7 8 9 | Last

International Journal of Innovation Science     Full-text available via subscription   (5 followers)
International Journal of Integrated Engineering     Open Access   (1 follower)
International Journal of Intelligent Engineering Informatics     Hybrid Journal  
International Journal of Intelligent Systems and Applications in Engineering     Open Access   (1 follower)
International Journal of Lifecycle Performance Engineering     Hybrid Journal  
International Journal of Machine Tools and Manufacture     Hybrid Journal   (4 followers)
International Journal of Manufacturing Research     Hybrid Journal   (7 followers)
International Journal of Manufacturing Technology and Management     Hybrid Journal   (10 followers)
International Journal of Materials and Product Technology     Hybrid Journal   (4 followers)
International Journal of Mathematical Education in Science and Technology     Hybrid Journal   (6 followers)
International Journal of Mathematics in Operational Research     Hybrid Journal   (1 follower)
International Journal of Medical Engineering and Informatics     Hybrid Journal   (5 followers)
International Journal of Micro Air Vehicles     Full-text available via subscription   (2 followers)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (1 follower)
International Journal of Microwave Science and Technology     Open Access   (3 followers)
International Journal of Mobile Network Design and Innovation     Hybrid Journal   (3 followers)
International Journal of Multiphase Flow     Hybrid Journal   (2 followers)
International Journal of Nanomanufacturing     Hybrid Journal   (1 follower)
International Journal of Nanoscience     Hybrid Journal   (1 follower)
International Journal of Nanotechnology     Hybrid Journal   (4 followers)
International Journal of Navigation and Observation     Open Access   (4 followers)
International Journal of Network Management     Hybrid Journal  
International Journal of Nonlinear Sciences and Numerical Simulation     Full-text available via subscription   (1 follower)
International Journal of Numerical Methods for Heat & Fluid Flow     Hybrid Journal   (6 followers)
International Journal of Optics     Open Access   (1 follower)
International Journal of Organisational Design and Engineering     Hybrid Journal   (7 followers)
International Journal of Pattern Recognition and Artificial Intelligence     Hybrid Journal   (6 followers)
International Journal of Pavement Engineering     Hybrid Journal   (2 followers)
International Journal of Physical Modelling in Geotechnics     Hybrid Journal   (2 followers)
International Journal of Plasticity     Hybrid Journal   (6 followers)
International Journal of Plastics Technology     Hybrid Journal  
International Journal of Polymer Analysis and Characterization     Hybrid Journal   (2 followers)
International Journal of Polymer Science     Open Access   (15 followers)
International Journal of Precision Engineering and Manufacturing     Hybrid Journal   (8 followers)
International Journal of Precision Technology     Hybrid Journal  
International Journal of Pressure Vessels and Piping     Hybrid Journal   (2 followers)
International Journal of Production Economics     Hybrid Journal   (10 followers)
International Journal of Quality and Innovation     Hybrid Journal   (2 followers)
International Journal of Quality Engineering and Technology     Hybrid Journal   (2 followers)
International Journal of Quantum Information     Hybrid Journal  
International Journal of Rapid Manufacturing     Hybrid Journal   (4 followers)
International Journal of Reliability, Quality and Safety Engineering     Hybrid Journal   (4 followers)
International Journal of Renewable Energy Technology     Hybrid Journal   (7 followers)
International Journal of Robust and Nonlinear Control     Hybrid Journal   (2 followers)
International Journal of Science Engineering and Advance Technology     Open Access  
International Journal of Sediment Research     Full-text available via subscription   (1 follower)
International Journal of Self-Propagating High-Temperature Synthesis     Hybrid Journal   (2 followers)
International Journal of Signal and Imaging Systems Engineering     Hybrid Journal  
International Journal of Six Sigma and Competitive Advantage     Hybrid Journal  
International Journal of Social Robotics     Hybrid Journal   (1 follower)
International Journal of Software Engineering and Knowledge Engineering     Hybrid Journal   (1 follower)
International Journal of Space Science and Engineering     Hybrid Journal   (2 followers)
International Journal of Speech Technology     Hybrid Journal   (2 followers)
International Journal of Spray and Combustion Dynamics     Full-text available via subscription   (5 followers)
International Journal of Surface Engineering and Interdisciplinary Materials Science     Full-text available via subscription   (1 follower)
International Journal of Surface Science and Engineering     Hybrid Journal   (7 followers)
International Journal of Sustainable Engineering     Hybrid Journal   (7 followers)
International Journal of Sustainable Manufacturing     Hybrid Journal   (4 followers)
International Journal of Systems Assurance Engineering and Management     Hybrid Journal  
International Journal of Systems, Control and Communications     Hybrid Journal   (2 followers)
International Journal of Technology Management and Sustainable Development     Hybrid Journal   (1 follower)
International Journal of Technology Policy and Law     Hybrid Journal   (3 followers)
International Journal of Telemedicine and Applications     Open Access   (2 followers)
International Journal of Thermal Sciences     Hybrid Journal   (4 followers)
International Journal of Thermodynamics     Open Access   (1 follower)
International Journal of Turbo & Jet-Engines     Full-text available via subscription  
International Journal of Ultra Wideband Communications and Systems     Hybrid Journal  
International Journal of Vehicle Autonomous Systems     Hybrid Journal  
International Journal of Vehicle Design     Hybrid Journal   (5 followers)
International Journal of Vehicle Information and Communication Systems     Hybrid Journal   (1 follower)
International Journal of Vehicle Noise and Vibration     Hybrid Journal   (2 followers)
International Journal of Vehicle Safety     Hybrid Journal   (3 followers)
International Journal of Vehicular Technology     Open Access   (1 follower)
International Journal of Virtual Technology and Multimedia     Hybrid Journal   (4 followers)
International Journal of Wavelets, Multiresolution and Information Processing     Hybrid Journal  
International Journal on Artificial Intelligence Tools     Hybrid Journal   (4 followers)
International Nano Letters     Open Access   (5 followers)
International Review of Applied Sciences and Engineering     Full-text available via subscription  
Inverse Problems in Science and Engineering     Hybrid Journal   (3 followers)
Ionics     Hybrid Journal  
IPTEK The Journal for Technology and Science     Open Access  
IRBM News     Full-text available via subscription  
Ironmaking & Steelmaking     Hybrid Journal   (2 followers)
Irrigation and Drainage Systems     Hybrid Journal  
ISA Transactions     Full-text available via subscription  
ISRN Communications and Networking     Open Access   (4 followers)
ISRN Nanotechnology     Open Access  
ISRN Signal Processing     Open Access  
ISRN Thermodynamics     Open Access  
ISRN Tribology     Open Access  
IT Professional     Full-text available via subscription   (1 follower)
Journal of Biosensors & Bioelectronics     Open Access   (1 follower)
Journal of Advanced Manufacturing Systems     Hybrid Journal   (8 followers)
Journal of Aerosol Science     Hybrid Journal   (2 followers)
Journal of Aerospace Engineering     Full-text available via subscription   (75 followers)
Journal of Alloys and Compounds     Hybrid Journal   (6 followers)
Journal of Analytical and Applied Pyrolysis     Hybrid Journal   (3 followers)
Journal of Analytical Science & Technology     Open Access   (4 followers)
Journal of Analytical Sciences, Methods and Instrumentation     Open Access   (1 follower)
Journal of Applied Analysis     Full-text available via subscription  

  First | 2 3 4 5 6 7 8 9 | Last

Journal of Computing and Information Science in Engineering    [4 followers]  Follow    
  Full-text available via subscription Subscription journal
     ISSN (Print) 1530-9827
     Published by ASME International Homepage  [25 journals]   [SJR: 0.537]   [H-I: 26]
  • Assembly Time Estimation: Assembly Mate Based Structural Complexity Metric
           Predictive Modeling
    • Authors: Owensby JE; Summers JD.
      Abstract: This paper presents an automated tool for estimating assembly times of products based on a three step process: connectivity graph generation from assembly mate information, structural complexity metric analysis of the graph, and application of the complexity metric vector to predictive artificial neural network models. The tool has been evaluated against different training set cases, suggesting that partially defined assembly models and training product variety are critical characteristics. Moreover, the tool is shown to be robust and insensitive to different modeling engineers. The tool has been implemented in a commercial CAD system and shown to yield results of within ±25% of predicted values. Additional extensions and experiments are recommended to improve the tool.
      PubDate: Wed, 22 Jan 2014 00:00:00 GMT
       
  • Using Morphing Techniques in Early Variation Analysis
    • Authors: Wagersten O; Lindau B, Lindkvist L, et al.
      Abstract: Today, in order to be competitive in a fierce global car market, higher demands are placed on the perceived quality (PQ) of the products. The end customer's visual impression of fit and finish are one of several factors influencing the overall PQ. When assessing the PQ of split-lines, the assumed geometric variation of the ingoing parts is an important prerequisite for trustworthy visualization and for correct judgments. To facilitate early decision making in conceptual phases, new demands are set on virtual tools and methods to support the engineers. In this study, a method for early evaluation of the impact of geometrical variation on PQ of split-lines is proposed. Starting from an exterior styling model, mesh morphing techniques have been used to distort the exterior model according to measurement data acquired in running production. Morphing techniques have also been used to adopt previous structural design solutions onto the new styling, in order to make an early assumption of the assembly stiffness. The used method is described and adopted in an industrial case. The study shows that the presented technique can be used to create continuous and correlated datasets. Non-rigid part behavior can be included in early PQ evaluations, even if the final detailed engineering design models do not yet exist.
      PubDate: Wed, 22 Jan 2014 00:00:00 GMT
       
  • Manufacturing Assembly Time Estimation Using Structural Complexity Metric
           Trained Artificial Neural Networks
    • Authors: Miller MG; Summers JD, Mathieson JL, et al.
      Abstract: Assembly time estimation is traditionally a time-intensive manual process that requires detailed geometric and process information, which is often subjective and qualitative in nature. As a result, assembly time estimation is rarely applied during early design iterations. In this paper, the authors explore the possibility of automating the assembly time estimation process while reducing the level of design detail required. In this approach, they train artificial neural networks (ANNs) to estimate the assembly times of vehicle subassemblies using either assembly connectivity or liaison graph properties, respectively, as input data. The effectiveness of estimation is evaluated based on the distribution of estimates provided by a population of ANNs trained on the same input data using varying initial conditions. Results indicate that this method can provide time estimates of an assembly process with ±15% error while relying exclusively on the geometric part information rather than process instructions.
      PubDate: Wed, 22 Jan 2014 00:00:00 GMT
       
  • Toward Safe Human Robot Collaboration by Using Multiple Kinects Based
           Real-time Human Tracking
    • Authors: Morato C; Kaipa KN, Zhao B, et al.
      Abstract: We present a multiple Kinects based exteroceptive sensing framework to achieve safe human-robot collaboration during assembly tasks. Our approach is mainly based on a real-time replication of the human and robot movements inside a physics-based simulation of the work cell. This enables the evaluation of the human-robot separation in a 3D Euclidean space, which can be used to generate safe motion goals for the robot. For this purpose, we develop an N-Kinect system to build an explicit model of the human and a roll-out strategy, in which we forward-simulate the robot's trajectory into the near future. Now, we use a precollision strategy that allows a human to operate in close proximity with the robot, while pausing the robot's motion whenever an imminent collision between the human model and any part of the robot is detected. Whereas most previous range based methods analyzed the physical separation based on depth data pertaining to 2D projections of robot and human, our approach evaluates the separation in a 3D space based on an explicit human model and a forward physical simulation of the robot. Real-time behavior (≈ 30 Hz) observed during experiments with a 5 DOF articulated robot and a human safely collaborating to perform an assembly task validate our approach.
      PubDate: Wed, 22 Jan 2014 00:00:00 GMT
       
  • A Generative Network Model for Product Evolution
    • Authors: Le Q; Sha Z, Panchal JH.
      Abstract: Modeling the structure and evolution of products is important from the standpoint of improving quality and maintainability. With the increasing popularity of open-source processes for developing both software and physical systems, there is a need to develop computational models of product evolution in such dynamic product developments scenarios. Existing studies on the evolution of products involve modeling products as networks, taking snapshots of the structure at different time steps, and comparing the structural characteristics. Such approaches are limited because they do not capture the underlying dynamics through which products evolve. In this paper, we take a step toward addressing this gap by presenting a generative network model for product evolution. The generative model is based on different mechanisms though which networks evolve—addition and removal of nodes, addition and removal of links. The model links local network observations to global network structures. It is utilized for modeling and analyzing the evolution of a software product (Drupal) and a physical product (RepRap) developed by open source processes. For the software product, the generated networks are compared with the actual product structures using various network measures including average degree, density, clustering coefficients, average shortest path, propagation cost, clustered cost, and degree distributions. For the physical product, the product evolution is analyzed in terms of the proposed mechanisms. The proposed model has three general applications: longitudinal studies of a product's evolution, cross-sectional studies of evolution of different products, and predictive analyzes.
      PubDate: Fri, 10 Jan 2014 00:00:00 GMT
       
  • A Novel Pattern for Energy Estimation Framework and Tools to Compute
           Energy Consumption in Product Life Cycle
    • Authors: Huang H; Ameta G.
      Abstract: Excessive energy consumption has become a worldwide issue in today's design and manufacturing industry. An energy estimation framework that could later be used to integrate with CAD/CAM systems is in demand. This research develops a novel pattern to estimate energy consumptions. The pattern involves a software energy estimation framework and various software energy computational tools. Using this pattern, energy can be calculated by an energy estimation framework which can be attached with diverse energy computational tools. These computational tools can be designed for any purpose to calculate energy consumptions during a product life-cycle and for various manufacturing processes. The framework involved in this pattern features to be domain independent and flexible so that it will be expandable for different manufacturing domains and customizable for users. Details for developing such pattern are presented. Interaction between the framework and its computational tools is also discussed. With help of this pattern, energy estimation framework and energy computational tools can interact smoothly, and the development of computational tools can be extended or expanded for any purpose. Knowledge engineers who exert to integrate knowledge into computer systems can interpret domain-specific knowledge and share their expertise to improve the framework. The framework also assists users who have little knowledge about energy computations to estimate energy consumptions during the design stage, leading to products with reduced energy.
      PubDate: Fri, 10 Jan 2014 00:00:00 GMT
       
  • Variation Simulation of Stresses Using the Method of Influence
           Coefficients
    • Authors: Lorin S; Lindkvist L, Söderberg R.
      Abstract: In every manufacturing situation there are geometric deviations leading to variation in properties of the manufactured products. Variation affects the manufacturability, functions and aesthetics of the products. Therefore, a number of methods and tools have been developed during the last 20 yr in order to assure the geometric quality and to minimize the effect of variability. These methods and tools have mainly been developed for rigid- or sheet metal components. Plastics or composites have been an increasingly popular material due to their flexible mechanical properties and their relative ease in manufacturing. However, their mechanical properties are introducing challenges that have not often been addressed in the process of geometry assurance. One challenge is to assure that the stresses introduced, as a consequence of non-nominal assembly, are kept well below critical limits during the conditions of use. In this paper, we are proposing the use of the method of influence coefficients (MIC) to simulate the distribution of von Mises stresses in assembled components. This method will be compared to the more flexible but computationally much heavier direct Monte Carlo (DMC) method, which is not suitable for variation simulation due to the large number of runs required for statistical inference. Two industrial case studies are presented to elicit the need of the proposed method.
      PubDate: Thu, 14 Nov 2013 00:00:00 GMT
       
 
 
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