The Experts below are selected from a list of 124221 Experts worldwide ranked by ideXlab platform
N. Ramakrishnan - One of the best experts on this subject based on the ideXlab platform.
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Optimisation of extrusion die profile to satisfy metallurgical and manufacturing criteria
Materials Science and Technology, 2010Co-Authors: K. K. Pathak, Vikas S. Pagey, N. RamakrishnanAbstract:In this study, die profiles of the rod extrusion processes are optimised to produce products of desirable microstructure at maximum Production Speed and minimum left out material in the die. The design problem is formulated as a non-linear programming problem which is solved using genetic algorithm. Selection of the processing parameters is carried out using dynamic material modelling. Using this approach, two rod extrusion problems are successfully designed.
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Process and die profile design for tube extrusion of γ iron
Structural and Multidisciplinary Optimization, 2009Co-Authors: K. K. Pathak, S Lomash, A K Jha, N. RamakrishnanAbstract:This study is related to material modeling and die and process design of tube extrusion of γ iron. Strain dependent rate power law is used for material modeling whose coefficients are arrived at through genetic algorithm (GA). Die profile of the tube extrusion process is optimized to produce microstructurally sound product at maximum Production Speed and minimum left out material in the die. The design problem is formulated as a nonlinear programming problem which is solved using GA. Selection of the processing parameters is carried out using dynamic material modeling (DMM). Using this approach tube extrusion process of γ iron is successfully designed.
K. K. Pathak - One of the best experts on this subject based on the ideXlab platform.
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Optimisation of extrusion die profile to satisfy metallurgical and manufacturing criteria
Materials Science and Technology, 2010Co-Authors: K. K. Pathak, Vikas S. Pagey, N. RamakrishnanAbstract:In this study, die profiles of the rod extrusion processes are optimised to produce products of desirable microstructure at maximum Production Speed and minimum left out material in the die. The design problem is formulated as a non-linear programming problem which is solved using genetic algorithm. Selection of the processing parameters is carried out using dynamic material modelling. Using this approach, two rod extrusion problems are successfully designed.
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Process and die design for rod extrusion of γ iron
International Journal of Material Forming, 2009Co-Authors: K. K. Pathak, Vikas S. Pagey, V. K. SethiAbstract:This study is related to materials modeling and die and process design of rod extrusion of γ iron. Strain dependent rate power law is used for materials modeling whose coefficients are arrived at through genetic algorithm (GA). Die profile of the rod extrusion process is optimized to produce products of desirable microstructure at maximum Production Speed and minimum left out material in the die. The design problem is formulated as a nonlinear programming problem which is solved using GA. Selection of the processing parameters is carried out using dynamic materials modeling (DMM). Using this approach rod extrusion process of γ iron is successfully designed. FE simulation on the optimum profile is also attempted to study deformation behaviour and load requirement.
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Process and die profile design for tube extrusion of γ iron
Structural and Multidisciplinary Optimization, 2009Co-Authors: K. K. Pathak, S Lomash, A K Jha, N. RamakrishnanAbstract:This study is related to material modeling and die and process design of tube extrusion of γ iron. Strain dependent rate power law is used for material modeling whose coefficients are arrived at through genetic algorithm (GA). Die profile of the tube extrusion process is optimized to produce microstructurally sound product at maximum Production Speed and minimum left out material in the die. The design problem is formulated as a nonlinear programming problem which is solved using GA. Selection of the processing parameters is carried out using dynamic material modeling (DMM). Using this approach tube extrusion process of γ iron is successfully designed.
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tube extrusion design for some selected inner profiles
International Journal of Physical Sciences, 2009Co-Authors: K. K. Pathak, S Lomash, Neeraj Jain, A K JhaAbstract:In this study, tube extrusion process of non-circular inner sections is optimized to satisfy micro structural criteria at maximum Production Speed and minimum left out material in the die cavity. The die profile design is for-mulated as a constrained non-linear programming problem, which is solved using genetic algorithms (GA). Three extrusion processes are successfully optimized based on this approach. Computer simulations, account-ing the optimized parameters are also carried out to obtain stress, strain distributions and load requirements. Key words: Design profile, extrusion tube, dynamic material modeling, genetic algorithms, finite element.
A K Jha - One of the best experts on this subject based on the ideXlab platform.
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Process and die profile design for tube extrusion of γ iron
Structural and Multidisciplinary Optimization, 2009Co-Authors: K. K. Pathak, S Lomash, A K Jha, N. RamakrishnanAbstract:This study is related to material modeling and die and process design of tube extrusion of γ iron. Strain dependent rate power law is used for material modeling whose coefficients are arrived at through genetic algorithm (GA). Die profile of the tube extrusion process is optimized to produce microstructurally sound product at maximum Production Speed and minimum left out material in the die. The design problem is formulated as a nonlinear programming problem which is solved using GA. Selection of the processing parameters is carried out using dynamic material modeling (DMM). Using this approach tube extrusion process of γ iron is successfully designed.
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tube extrusion design for some selected inner profiles
International Journal of Physical Sciences, 2009Co-Authors: K. K. Pathak, S Lomash, Neeraj Jain, A K JhaAbstract:In this study, tube extrusion process of non-circular inner sections is optimized to satisfy micro structural criteria at maximum Production Speed and minimum left out material in the die cavity. The die profile design is for-mulated as a constrained non-linear programming problem, which is solved using genetic algorithms (GA). Three extrusion processes are successfully optimized based on this approach. Computer simulations, account-ing the optimized parameters are also carried out to obtain stress, strain distributions and load requirements. Key words: Design profile, extrusion tube, dynamic material modeling, genetic algorithms, finite element.
S Lomash - One of the best experts on this subject based on the ideXlab platform.
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Process and die profile design for tube extrusion of γ iron
Structural and Multidisciplinary Optimization, 2009Co-Authors: K. K. Pathak, S Lomash, A K Jha, N. RamakrishnanAbstract:This study is related to material modeling and die and process design of tube extrusion of γ iron. Strain dependent rate power law is used for material modeling whose coefficients are arrived at through genetic algorithm (GA). Die profile of the tube extrusion process is optimized to produce microstructurally sound product at maximum Production Speed and minimum left out material in the die. The design problem is formulated as a nonlinear programming problem which is solved using GA. Selection of the processing parameters is carried out using dynamic material modeling (DMM). Using this approach tube extrusion process of γ iron is successfully designed.
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tube extrusion design for some selected inner profiles
International Journal of Physical Sciences, 2009Co-Authors: K. K. Pathak, S Lomash, Neeraj Jain, A K JhaAbstract:In this study, tube extrusion process of non-circular inner sections is optimized to satisfy micro structural criteria at maximum Production Speed and minimum left out material in the die cavity. The die profile design is for-mulated as a constrained non-linear programming problem, which is solved using genetic algorithms (GA). Three extrusion processes are successfully optimized based on this approach. Computer simulations, account-ing the optimized parameters are also carried out to obtain stress, strain distributions and load requirements. Key words: Design profile, extrusion tube, dynamic material modeling, genetic algorithms, finite element.
Dong-yu Kim - One of the best experts on this subject based on the ideXlab platform.
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Factors to be Considered in Bulk Heterojunction Polymer Solar Cells Fabricated by the Spray Process
IEEE Journal of Selected Topics in Quantum Electronics, 2010Co-Authors: Doojin Vak, Seok-soon Kim, Mi-kyoung Kim, Dong-yu KimAbstract:One of the attractions of solution-processed polymer solar cells (PSCs) is the potential for low-cost Production by high-throughput roll-to-roll processes. The spray process can be suggested as an elegant alternative for PSCs fabrication due to its high Production Speed. We highlight the effects of sprayed droplet sizes on the film topography and drying time of droplets. We relate the latter to the PSCs device performances. The transfer efficiency and deposition rate of the spray process as a function of the droplet size are investigated for the high Production Speed and lowering the cost. PSC device fabrication with an optimized spray-operating condition yielded a power conversion efficiency of 3.4%. The comparable efficiency of PSCs fabricated by a roll-to-roll compatible process compared to spin-coated one achieved in this paper brings these devices one step closer to the realization of low-cost PSCs Production.
