Subjects -> ESTATE, HOUSING AND URBAN PLANNING (Total: 304 journals)
    - CLEANING AND DYEING (1 journals)
    - ESTATE, HOUSING AND URBAN PLANNING (237 journals)
    - FIRE PREVENTION (13 journals)
    - HEATING, PLUMBING AND REFRIGERATION (6 journals)
    - HOME ECONOMICS (9 journals)
    - INTERIOR DESIGN AND DECORATION (21 journals)
    - REAL ESTATE (17 journals)

INTERIOR DESIGN AND DECORATION (21 journals)

Showing 1 - 20 of 20 Journals sorted alphabetically
Architectural Design     Hybrid Journal   (Followers: 31)
Artifact : Journal of Design Practice     Open Access   (Followers: 8)
City: analysis of urban trends, culture, theory, policy, action     Hybrid Journal   (Followers: 28)
CoDesign: International Journal of CoCreation in Design and the Arts     Hybrid Journal   (Followers: 16)
Design Issues     Hybrid Journal   (Followers: 33)
Indoor and Built Environment     Hybrid Journal   (Followers: 4)
Interiors : Design, Architecture and Culture     Hybrid Journal   (Followers: 21)
International Journal of Human Factors and Ergonomics     Hybrid Journal   (Followers: 20)
International Journal of Sustainable Design     Hybrid Journal   (Followers: 8)
International Journal on Interactive Design and Manufacturing (IJIDeM)     Hybrid Journal   (Followers: 3)
Journal of Building Survey, Appraisal & Valuation     Full-text available via subscription   (Followers: 4)
Journal of Computer-Aided Molecular Design     Hybrid Journal   (Followers: 6)
Journal of Design History     Hybrid Journal   (Followers: 21)
Journal of Design, Business & Society     Hybrid Journal   (Followers: 1)
Journal of Facade Design and Engineering     Open Access   (Followers: 2)
Journal of Interior Design     Hybrid Journal   (Followers: 6)
Journal of Urban Design     Hybrid Journal   (Followers: 23)
Res Mobilis : Revista internacional de investigación en mobiliario y objetos decorativos     Open Access  
Reviews of Human Factors and Ergonomics     Hybrid Journal   (Followers: 16)
Zentralblatt für Arbeitsmedizin, Arbeitsschutz und Ergonomie. Mit Beiträgen aus Umweltmedizin und Sozialmedizin     Full-text available via subscription   (Followers: 1)
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International Journal on Interactive Design and Manufacturing (IJIDeM)
Journal Prestige (SJR): 0.426
Citation Impact (citeScore): 1
Number of Followers: 3  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1955-2513 - ISSN (Online) 1955-2505
Published by Springer-Verlag Homepage  [2469 journals]
  • Effects of temperature, die angle and number of passes on the extrusion of
           6063 aluminium alloy: experimental and numerical study

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      Abstract: Abstract It is generally known that factors affecting the extrusion process, such as the number of passes, temperature and die angle, among others, significantly affect the mechanical properties of extruded aluminum. Therefore, altering these process parameters may have an impact on the qualities of extruded products. Utilizing equal channel angular extrusion (ECAE) method, these parameters were discovered to influence the tensile strength and hardness of aluminum 6063 series. Experimental design was done with Design Expert software. The interactive impacts of the process factors were verified with analysis of variance (ANOVA). An empirical mathematical model that demonstrates the relationship between the inputs and responses was developed using the response surface methodology approach. Temperature was shown to have the most impact on the hardness and tensile strength as a response, whilst die angle had the least effect. After extrusion at various combinations of variables, there was a noticeable improvement in the tensile strength and hardness. At 150°, 500 °C, and 1 extrusion pass, the optimum input variable was obtained.
      PubDate: 2022-09-30
       
  • Heat conduction in an orthotropic material–numerical analysis using
           python

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      Abstract: The grain structure deforms once a material is subjected to rolling and due to the same the properties get affected especially the thermal properties resulting in orthotropic thermo-physical property. So, for a high hardness material for example, Ti–6Al–4 V requires extensive study as these are exclusively used as replacement in human body like, implants. The study also ensures proper fitment and longevity. Now, since a considerable quantity of heat is generated while machining of these materials hence, to formulate the cooling strategy, deep understanding of the temperature – distribution becomes very essential. Moreover, it also controls the thermo–physical characteristics of the aforesaid hard materials. The present work numerically estimates the temperature distribution assuming 2D material domain. To achieve the objective, Finite Difference Scheme has been used using Python. The mathematical equations relevant to heat transfer along with relevant boundary conditions have been discretized and iterative method has been employed for the solution. The various thermo–physical properties have been explicitly depicted with the aid of 2D temperature distribution plots. The conclusion of the work can be employed for deciding the cooling strategies and also various machining parameters. Graphical abstract
      PubDate: 2022-09-30
       
  • Optimization of process parameters for ballistic impact response of hybrid
           sandwich composites

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      Abstract: Abstract The low-cost, eco-friendly ballistic impact resistance materials are gaining more importance in defense applications. The present work investigates the findings of ballistic impact behavior of a Jute-Rubber-Jute-Epoxy (Sand)-Jute-Rubber-Jute (JRJ-ES-JRJ) hybrid sandwich composite for different core thicknesses (10, 15, 20 mm) and different filler composition (0, 20, 40%) subjected to impact at 350 mps using different shaped projectiles like flat (F), conical (C), and hemispherical (H) using a numerical and parametric approach. Hybrid JRJE(%S)JRJ sandwich composites is modeled and simulated using commercially available dynamic explicit software, with the projectile as a rigid body and the target as a deformable material. Simulations are performed as per Taguchi's design of experiments approach for the L27 orthogonal array. The results show that filler composition and core thickness are the most critical factors determining ballistic behavior for the proposed hybrid sandwich composite structure. The Hybrid JRJ-ES-JRJ sandwich composites impacted with a conical-shaped projectile absorb the maximum energy, but the composite impacted with a flat-shaped projectile suffers more severe and immediate damage.
      PubDate: 2022-09-29
       
  • Optimization of CNC turning of aluminium 6082-T6 alloy using fuzzy
           multi-criteria decision making methods: a comparative study

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      Abstract: Abstract In any of the manufacturing industries, it is noticed that performance of a turning operation with respect to higher material removal rate and tool life, and lower surface roughness, flank wear, cutting force and specific energy consumption is significantly influenced by several input parameters, like cutting speed, feed rate, depth of cut, tool nose radius, type of the lubricant etc. While optimizing a turning process, the decision makers often face a challenge to assign relative importance to different responses. In this paper, fuzzy set theory is integrated with six popular multi-criteria decision making (MCDM) methods, i.e. weighted aggregated sum product assessment, multi-objective optimization on the basis of ratio analysis, technique for order of preference by similarity to ideal solution, VIsekriterijumska Optimizacija I Kompromisno Resenje, evaluation based on average solution and multi-attributive border approximation area comparison for optimizing the CNC turning operation of aluminium 6082-T6 alloy. It can be noticed that all the fuzzy MCDM techniques identify spindle speed = 1000 rpm, DOC = 0.10 mm and FR = 95 mm/rev as the optimal combination of turning parameters for having the compromised response values. Thus, these fuzzy MCDM methods can act as efficient multi-objective optimization tools providing more realistic solutions while considering vague and uncertain information, specially with respect to assignment of relative significance to the responses. A sensitivity analysis is also performed to validate robustness of the adopted fuzzy MCDM tools.
      PubDate: 2022-09-29
       
  • Design and non-linear finite element analysis of titanium-based femoral
           hip-stem for Indian population

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      Abstract: Abstract In this research article, stress–strain and force–displacement analysis has been investigated at the bone-implant interface of implant models, utilizing a finite element analysis. On the basis of the standard geometry of solid femurs, structured long hip stems and applied the boundary conditions, including a stationary loading of 2300 N. This long hip stem implant shows the maximum mises stress at proximal end of femur stem 664.3 MPa with displacement of 1.263 mm having the elastic strain of 6.479*10–3. When the hip stem implant is custom fitted in to the femur bone, the maximum stress is 13.01 MPa having the strain of 6.455*10–03. Taking everything into account, the implant design with a ventured score in the proximal medial region demonstrated a general increment in von-mises stress circulation because of minimization of stress protecting managed by the diminished successful area in the bone implant interface. In this manner, this hip implant type could be a conceivable geometry to stay useful over the long haul in THR patients.
      PubDate: 2022-09-28
       
  • Impact strength assessment of SMA and low melting point alloy reinforced
           self-healing Al6061 composite

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      Abstract: The present study focuses on comparative assessment of impact strength of self-healing Al6061 composite reinforced with shape memory alloy (SMA) and low melting point alloy. The self-healing Al6061 composites have been prepared by filling (i) low melting point alloy 60Pb40Sn and (ii) NiTi SMA in the Al6061 alloy. Experimental investigations have been carried out to assess the impact strengths of both of these self-healing Al6061 composites using Charpy impact test. The results show that the low melting point alloy filled self-healing Al6061 composite has lower absorbed energy as compared to SMA wire self-healing Al6061 composite. Simulation of the all three-sample performed on software to ensure the experimental results. Graphical
      PubDate: 2022-09-26
       
  • Modelling and thermal analysis for automobile piston using ANSYS

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      Abstract: Abstract Piston is the main component of internal combustion engine. This transmits the thrust of burned gases to the connecting rod. In this paper, the design and analysis of piston is presented for the given specification engine. The design and modelling of the piston is done on Fusion 360 and analysis is done in the ANSYS software. The design file from Fusion 360 is imported in the ANSYS software and results are discussed. The piston of an internal combustion engine is subjected to thermal and thrust loads. Material of the piston is taken Aluminium alloy for the analysis purpose. Major complexity of thermal load variations is eliminated here, and critical values are analysed and structural and thermal analysis in the ANSYS is performed.
      PubDate: 2022-09-24
       
  • Fuzzy synergetic control based thermoelectric generator system for waste
           heat recovery in manufacturing process

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      Abstract: Abstract The most important strategies of sustainable manufacturing or green manufacturing are encouraging non polluting energy sources and minimizing energy wastage. This can be achieved by utilizing the waste heat that has already been generated by other activities in the industries making double use of a single power source. The power conversion efficiency of industrial equipment is enhanced by integrating with Thermoelectric Generator (TEG) by converting a part of heat energy into the electrical energy. This paper presents a design of hybrid intelligent controller to extract maximum electrical power from the TEG system based on fuzzy logic and synergetic control theory. The designed hybrid controller assures the rapid convergence towards the maximum power operating point with reduced fluctuations under variable temperature and load conditions. The simulation results show effectiveness of proposed method in comparison with P&O and synergetic control methods under different conditions such as variable temperature and load.
      PubDate: 2022-09-22
       
  • Optimisation of the swinging jaw design for a single toggle jaw crusher
           using finite element analysis

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      Abstract: Abstract This study reports on the design optimisation of the swinging jaw crusher plate. Jaw crusher machines are used in the mining and construction industry for crushing rocks and mineral ores to the appropriate sizes for direct application or further processing. During the crushing process, large and non-evenly distributed impact forces occur, resulting from uneven feed patterns and nonhomogeneous material composition (varying hardness). Hence, the jaw plate experiences inhomogeneous stress distributions causing warping and fracture failure of the crusher plates. The plate warping reduces the crusher performance, resulting in low crusher efficiency, high cost of replacing the crushing plates, and higher energy consumption. In this study, the design parameters: plate profile, thickness, and the height of the jaw plate were optimised using ANSYS software. These design parameters were varied to analyse deformation and stress distribution during crushing. Design of experiment techniques was used to determine the optimal design parameters. Optimisation results showed that the optimal design parameters were: 40.06 mm thickness, 4.94 mm plate profile, and 996.21 mm height. An analysis using the optimal parameters produced the optimal outputs as 1.41 MPa for the maximum equivalent stress and 2.7 × 10–8 m for the average total deformation. This study shows that the jaw crusher plate geometry influences the flow stress and deformation behaviour during the crushing process. The findings from this study provide the basis for future designs of swing jaw crushers for industrial applications.
      PubDate: 2022-09-20
       
  • 3D complex curve seam tracking using industrial robot based on CAD model
           and computer vision

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      Abstract: Abstract 3D complex curve seam tracking using industrial robots applied in fields that affect human health such as welding, gluing, spraying, painting, etc. However, at present, manual performance by workers or teaching manipulators by using teach-pendant to recognize the planning trajectories curves, especially for 3D complex seam curves which often has complex shape, direction, small width are still the two main approaches. Through these two implementation methods, productivity is low and product quality is not uniform. So this study will present a practical method to overcome the above disadvantages by using a low-cost camera combining an image processing algorithm using a 3D CAD model and a pre-defined 3D curve profile that needs to be attached to that model to extract the contour on the object. This data is then transmitted to the industrial manipulator to perform the task of tracing the planned 3D complex curve. By using this method, the small width 3D complex curve is easily tracked and the system is not complicated. Moreover, the profile to be tracked can be modified easily and quickly by non-expert users with basic knowledge about CAD drawing and image processing. Through the result of the experiments, small error system and fast image processing time about 1.8 mm and 0.5 s respectively, the system proved that it meets the requirement of the production line and it can replace the worker. The system is also easy to maintain and setup.
      PubDate: 2022-09-20
       
  • 4D printing of thermoresponsive materials: a state-of-the-art review and
           prospective applications

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      Abstract: Abstract The use of thermoresponsive smart polymers is the need of the hour and a matter of scientific interest in 3D printing applications such as sensors, drug delivery, scaffold manufacturing, tissue engineering, bio-separation, regenerative medicines, and tissue reconstructions. In the last decade, a variety of different thermoresponsive materials and their 3D printing processes have been developed for such applications. So, the novice researchers working in 3D printing of thermoresponsive materials are looking for the collective information of the processing, application, tools, and techniques requirement with future aspects of research. The applications of specific stimuli have been discussed in this paper with their effect on shape change behaviour. This research paper aims to provide state-of-the-art knowledge for the 3D printing of thermoresponsive polymers with knowledge of materials processing, a recent innovation, innovative 3D printing processes used for thermoresponsive materials, materials information of thermoresponsive polymers and targeted applications. The future scope for the 4D printing of thermoresponsive polymers have been provided throughout the manuscript for the extended applications and studies. Also, this study is supported by an innovative case study for the implementation 3D printing process as recycling of thermoresponsive materials for biomedical applications.
      PubDate: 2022-09-20
       
  • Smart retrofitting for human factors: a face recognition-based system
           proposal

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      Abstract: Abstract Industry nowadays must deal with the so called “fourth industrial revolution”, i.e. Industry 4.0. This revolution is based on the introduction of new paradigms in the manufacturing industry such as flexibility, efficiency, safety, digitization, big data analysis and interconnection. However, human factors’ integration is usually not considered, although included as one of the paradigms. Some of these human factors’ most overlooked aspects are the customization of the worker’s user experience and on-board safety. Moreover, the issue of integrating state of the art technologies on legacy machines is also of utmost importance, as it can make a considerable difference on the economic and environmental aspects of their management, by extending the machine’s life cycle. In response to this issue, the Retrofitting paradigm, the addition of new technologies to legacy machines, has been considered. In this paper we propose a novel modular system architecture for secure authentication and worker’s log-in/log-out traceability based on face recognition and on state-of-the-art Deep Learning and Computer Vision techniques, as Convolutional Neural Networks. Starting from the proposed architecture, we developed and tested a device designed to retrofit legacy machines with such capabilities, keeping particular attention to the interface usability in the design phase, little considered in retrofitting applications along with other Human Factors, despite being one of the pillars of Industry 4.0. This research work’s results showed a dramatic improvement regarding machines on-board access safety.
      PubDate: 2022-09-18
       
  • Dissimilar metal welding on Mg AZ31 and AA 6061 alloys by using friction
           stir welding

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      Abstract: Abstract The objective of this study is to investigate the mechanical properties and microstructures on dissimilar metal friction stir welding (FSW) between AA 6061 and Mg AZ31 alloys. For the purpose of improving the strength of the dissimilar welded joint, the process parameters such as rotational speeds and travel speeds play a vital role to obtain the better welded joint for dissimilar metals. FSW was performed at travel speeds ranging from 20 to 80 mm/min, with tool rotational speeds ranging from 500 to 1000 rpm. In the experimental work, investigation has been performed using microhardness testing, tensile testing and optical microscopy. This research reveals that using FSW, a welded joint between dissimilar metal alloys AA 6061 and Mg AZ31 can be created by choosing the right tool pin profile and process parameters that are responsible for creating complex recrystallization, grain refining occurred in the stir field. The weld sample rotation speed of 560 r/min and a travel speed of 20 mm/min shows the most contributing parameters of the experiment. The welded specimen had a tensile strength of about 74.4% of that of AA 6061 alloy and 59.3% of that of Mg AZ31 alloy, and it failed through the brittle-mode fracture. The stir zone has a maximum hardness of HV 108 was measured with sample 560, and in the away stir zone, an irregular hardness distribution was obtained with a 50 HV. Due to the high strain rate, the welding tool pin imparts to the material and the heat produced by friction between the material and the tool, dynamic recrystallization (DRX) happens in the stir zone (SZ) of the FSW process.
      PubDate: 2022-09-17
       
  • Predict the risk feeling for drivers of autonomous cars: an application of
           deep learning methods

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      Abstract: Abstract Simulation is used to assess safety provided by autonomous vehicle algorithms. However, safety derived by computation systems can have significant gaps with driver’s feeling of safety. Thus, to improve validation by simulation tools, autonomous vehicle designers need to implement criteria for risk perception assessment. We demonstrate, in this study, that risk feeling is significantly related to some personal characteristics of the driver and to his past and current driving events. We propose to compare three deep learning-based networks to model it. The outcome of this cognitive driver model is a classification on 5 risk levels felt by the driver. Two metrics are adopted as the measure of the models’ accuracy: the area under the curve and the F1-score. They show accurate prediction of the driver emotional state in autonomous driving scenarios of car-following and overtaking maneuvers, which corresponds to most highway situations. The main improvement factor of this method is the integration of individual driver characteristics in the learning model. Thus, simulation enables further design of a secure automatic driving system as well as the design of an automatic driving behavior fitted for the driver cluster targeted.
      PubDate: 2022-09-16
       
  • Grey-Taguchi optimization of machining of Inconel 600 using AlTiN coated
           carbide inserts under dry environmental conditions

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      Abstract: Abstract The present study is about the optimization of machining parameters in turning of Inconel 600 alloy with AlTiN- coated inserts under dry environment to enhance surface finish and material removal rate (MRR). Taguchi single objective and Grey-Taguchi multi-objective methods were employed to achieve optimum machining conditions. Cutting speed, feed rate, and back rake angle were considered as machining process parameters. Based on design of experiments, Taguchi L27 orthogonal array with three factors and three levels was employed for the study. Results from Taguchi analysis indicate that cutting speed of 300 m/min, feed rate of 0.05 mm/rev, and rake angle of − 3° were the optimum machining parameters to achieve better surface finish whereas cutting speed of 300 m/min, feed rate of 0.15 mm/rev, and rake angle of − 5° were found to be the optimum machining parameters to maximize MRR. Feed rate has the maximum effect on both surface roughness (Ra) and MRR followed by cutting speed and rake angle. Results from Grey relation analysis indicate that cutting speed of 300 m/min, feed rate of 0.15 mm/rev, and rake angle of − 3° were optimum parameters to achieve better surface finish and maximum MRR with Grey relation grade (GRG) of 0.827. Grey-Taguchi analysis indicate that cutting speed of 300 m/min, feed rate of 0.1 mm/rev, and rake angle of − 3° were found to be optimum to maximize the mean of GRG and among the machining parameters, cutting speed has the maximum influence on the means of GRG followed by rake angle and feed rate.
      PubDate: 2022-09-14
       
  • Innovative study of electro chemical discharge drilling of silica based
           BK7 optical glass

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      Abstract: Abstract Machining achievements of advanced non-conductive materials have challenged researchers to make it feasible to use them for manufacturing purposes. Electrochemical discharge drilling (ECDD) is an advanced hybrid process in the field of unconventional machining process that promotes difficult-to-cut hard and brittle materials. In this study, the effect of various input factors like applied voltage, electrolyte concentration, pulse-on time, and P-off time was considered to find their influence on performance parameters, i.e., material removal rate (MRR) and radial overcut (ROC). The experiments were conducted while drilling BK7 glass materials on an in-house developed ECDD setup. From experiments, it has been found that when increases the applied voltage and pulse are on time, the MRR and ROC increase, and also increase in P-off time decrease in MRR & ROC was observed. Simultaneously, it has been found that when the voltage reached (above 45 V) beyond the particular value, cracks phenomena and significant heat affected zone (HAZ) formed in the apex top surface of the workpiece. The effect was evaluated by scanning electron microscopy (SEM). Further, For MRR, the electrolytic concentration is the main influential and significant parameter with a 61.61% contribution, and for overcut, the DC voltage is the most significant parameter with a 72.33% contribution at a 95% confidence interval.
      PubDate: 2022-09-13
       
  • Experimental and predictive modelling in dry micro-drilling of titanium
           alloy using Ti–Al–N coated carbide tools

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      Abstract: Abstract In a rapidly changing manufacturing environment, accurate and efficient models are necessary to predict cutting force and feature quality in the mechanical micro-drilling process. Micro-drilling is challenging due to high spindle speeds and size effects and, therefore, cannot be considered a scaled-down version of macro-drilling. In this study, micro-holes of Ø 0.4 mm are machined using Ti–Al–N coated carbide micro-drill on Titanium alloy (Cp-Ti grade 2) under dry conditions. The process parameters like cutting speed, feed, and pecking depth are varied in three levels based on the full-factorial design with thrust force, burr height, and radial overcut as responses. Predictive models are developed for responses using two intelligent modelling techniques: generalised regression neural network (GRNN) and adaptive neuro-fuzzy inference system (ANFIS). The experimental data is used to train models, and additional experiments are performed to generate testing and validation data. Later multiple regression analysis (MRA) models are also developed for responses. The results indicated that the predicted responses from GRNN, ANFIS, and MRA errors are within ± 5%, ± 5.5%, and ± 12%, respectively, suggesting that the GRNN and ANFIS models are more reliable than the MRA model. In this research, the GRNN models outperformed the ANFIS models. In continuation of the study, optimal process parameters are ascertained to minimize responses simultaneously. At optimal parameter settings, the performance of uncoated and Ti–Al–N coated carbide micro-drills is also evaluated by experiments. Ti–Al–N coated micro-drill reduces the considered responses with lesser tool wear and a favourable chip formation compared to the uncoated micro-drill.
      PubDate: 2022-09-13
       
  • Residual stresses and surface topography investigation of AISI D3 tool
           steel under of ultrasonic vibration assisted wire-EDM

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      Abstract: Abstract It is an important concern for the researcher to understand the morphology of the Wire Cut-EDM surface. Heat-affected zones, residual stresses, and surface roughness are the main contributing factors to the underprivileged surface morphology of the workpiece. In the present study, authors investigate the effect of ultrasonic workpiece vibration in Wire Cut-EDM on the surface morphology of AISI D3 tool steel workpiece. The five parameters peak current, pulse on time, pulse off time, wire feed rate, and amplitude of vibration were selected to evaluate effects on heat effect zone, residual stresses, material removal rate, and surface roughness. In order to evaluate residual stress of the machined surface, high-resolution Field emission scanning electron microscope micrographs were used. X-ray Residual Stress Analyzer COS (α) method was also employed for the analysis of heat affected zones and micro-cracks. Design expert software is used to formulate mathematical models and derive the individual desirability values for material removal rate and surface roughness. A quadratic model is obtained that might suitable for all proposed objective functions. At lower range of vibration of amplitude of 15 µm resulted in better surface characteristics; on the other hand, high vibration amplitude resulted in poor machining stability because of critical wire breakage. The residual stress results indicated that the higher values of peak current and pulse of time gave rise to undesirable machined surface quality characteristics. Detailed 3D Debye–Scherrer ring distortions and high peak strength, residual stress data were indicators of a damaged workpiece surface with large craters, micro-cracks, and high tensile residual stress.
      PubDate: 2022-09-09
       
  • Finite element modeling of quartz material for analyzing material removal
           rate in ECDM process

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      Abstract: Abstract A hybrid technique called spark assisted chemical engraving (SACE), also known as electro chemical discharge machining (ECDM) or electrochemical anode machining (ECAM), is used to efficiently and affordably miniaturise parts made of various non-conducting materials. In the micro-machining of these materials, ECDM has a wide range of applications in the nuclear, automotive, medical, etc. industries. ECAM is a hybrid method that combines the ability to remove material from electrochemical machining (ECM) and electro discharge machining (EDM) (EDM). The analysis of the material loss rate using finite element models is not widely studied (MRR). Testing is done to verify the FEA model and evaluate it against earlier research. The MRR was found to be 16.66% greater when simulated and contrasted to previous research results. It was also observed that existing experimental results error is larger in magnitude by 16.66% than experimental results error by 4.16% spark region is 400 microns by high speed camera. Furthermore, the temperature distribution has also analyzed.
      PubDate: 2022-09-08
       
  • Effective machining parameter selection through fuzzy AHP-TOPSIS for 3D
           finish milling of Ti6Al4V

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      Abstract: Abstract Ti6Al4V is a Hard-to-Shear material in the Automobile, Aerospace, Marine, and Biomedical implant industries. The difficulties in the shearing arise from metallurgical phase alterations under insufficient lubrication and cooling during Ti6Al4V machining. This article wisely investigated 3D finish milling using different Computer-Aided Machining (CAM) strategies with cooling approaches followed by Taguchi Design of Experiments. The performance was evaluated in terms of Surface integrity, Flank, and Crater wear. The Fuzzy Analytic Hierarchy Process establishes the weights by extent analysis, and furthermore, Technique for Order of Preference by Similarity to Ideal Solution decides the optimum levels of process parameters. The optimized process parameters like Cutting speed (40 m/min), Axial Depth of Cut (0.3 mm), and Feed rate (101.92 mm/min) with Graphene Oxide Nanoparticles + 15% concentrated wet lubrication (Hybrid Flood Coolant) are applied through the Streamline CAM strategy with PVD-TiAlN coated cutting tool. These yielded process parameters exhibit excellent performance in finish milling than the other combinations of parameters. Analysis of Variance evaluates the influences of process parameters on experimental performances. Finally, optimized process parameters were applied to 3D milling of Ti6Al4V bracket through Streamline CAM strategy, which sequels the lower Crater and Flank wear with 0.132 microns surface integrity.
      PubDate: 2022-09-03
       
 
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