The Experts below are selected from a list of 1885530 Experts worldwide ranked by ideXlab platform
Tomiso Ohata - One of the best experts on this subject based on the ideXlab platform.
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Improvement of optimum Process Design system by numerical simulation
Journal of Materials Processing Technology, 1998Co-Authors: Tomiso Ohata, Yasunori Nakamura, Tsutao Katayama, Eiji Nakamachi, Nobuaki OmoriAbstract:Abstract Recently, the optimum forming Process Design systems based on computer simulation have been actively developed. Until now, the optimum Process Design system was developed in conjunction with the nonlinear FEA code and nonlinear optimization code. In the latter code, the ‘sweeping simplex (S.S.) method’ which could find the global minimum was recently proposed. This numerical system was applied to the Process Design with two Design variables of complicated shape cup deep drawing. This system could search optimum condition efficiently. In the present paper, we applied the system to a working Process Design with three Design variables. To consider three Design variables, we make the searched region a 3-D region and improve this system to increase its efficiency to search. The improved system is applied to the optimum Process Design of the complex cup deep drawing. Further, the validity of this system is verified by comparison to experimental results.
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Development of optimum Process Design system by numerical simulation
Journal of Materials Processing Technology, 1996Co-Authors: Tomiso Ohata, Yasunori Nakamura, Tsutao Katayama, Eiji Nakamachi, Kenji NakanoAbstract:Abstract Now, the development of optimum forming Process Design system based on computer simulation to reduce the time consumption is strongly required in the industries. In this study, the optimum Process Design system is newly developed in conjunction with the nonlinear FEA code and the nonlinear optimization code. In the latter code, “Sweeping Simplex Method” is newly proposed, which can find the global minimum. The accuracy and quickness of this method to find the global minimum of objective function, which have several local minimum points, is confirmed by comparison with the grid method. This numerical system is applied to the Process Design of complicate shaped cup deep drawing. In order to form the sheet metal with uniform thickness, “Deviation of thickness from uniform average thickness” is employed as the objective function, and the global minimum point in the Design variable space is searched by “Sweeping Simplex Method”. For the Design variables, the heights of two punches in first stage forming are employed. The optimum Process condition was determined by using this numerical code and also the validity of this code was confirmed by the comparison with the experimental observation results.
Nobuaki Omori - One of the best experts on this subject based on the ideXlab platform.
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Improvement of optimum Process Design system by numerical simulation
Journal of Materials Processing Technology, 1998Co-Authors: Tomiso Ohata, Yasunori Nakamura, Tsutao Katayama, Eiji Nakamachi, Nobuaki OmoriAbstract:Abstract Recently, the optimum forming Process Design systems based on computer simulation have been actively developed. Until now, the optimum Process Design system was developed in conjunction with the nonlinear FEA code and nonlinear optimization code. In the latter code, the ‘sweeping simplex (S.S.) method’ which could find the global minimum was recently proposed. This numerical system was applied to the Process Design with two Design variables of complicated shape cup deep drawing. This system could search optimum condition efficiently. In the present paper, we applied the system to a working Process Design with three Design variables. To consider three Design variables, we make the searched region a 3-D region and improve this system to increase its efficiency to search. The improved system is applied to the optimum Process Design of the complex cup deep drawing. Further, the validity of this system is verified by comparison to experimental results.
Michael Matlosz - One of the best experts on this subject based on the ideXlab platform.
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IMPULSE – A New Approach to Process Design†
Chemical Engineering & Technology, 2005Co-Authors: Thomas Bayer, Jean Jenck, Michael MatloszAbstract:The present paper introduces a promising new approach to chemical Process Design based on the development and use of a new generation of advanced production equipment: Structured multiscale chemical devices. The methodology of structured multiscale Process Design offers a unique opportunity for challenging interdisciplinary theoretical and experimental research in a European context, capable of leading to significant improvement in industrial competitiveness in the Process industries.
Matlosz M. - One of the best experts on this subject based on the ideXlab platform.
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IMPULSE - A new approach to Process Design
Chemical Engineering and Technology, 2015Co-Authors: Th. Bayer, Jenck J., Matlosz M.Abstract:The present paper introduces a promising new approach to chemical Process Design based on the development and use of a new generation of advanced production equipment: Structured multiscale chemical devices. The methodology of structured multiscale Process Design offers a unique opportunity for challenging interdisciplinary theoretical and experimental research in a European context, capable of leading to significant improvement in industrial competitiveness in the Process industries.
Yasunori Nakamura - One of the best experts on this subject based on the ideXlab platform.
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Improvement of optimum Process Design system by numerical simulation
Journal of Materials Processing Technology, 1998Co-Authors: Tomiso Ohata, Yasunori Nakamura, Tsutao Katayama, Eiji Nakamachi, Nobuaki OmoriAbstract:Abstract Recently, the optimum forming Process Design systems based on computer simulation have been actively developed. Until now, the optimum Process Design system was developed in conjunction with the nonlinear FEA code and nonlinear optimization code. In the latter code, the ‘sweeping simplex (S.S.) method’ which could find the global minimum was recently proposed. This numerical system was applied to the Process Design with two Design variables of complicated shape cup deep drawing. This system could search optimum condition efficiently. In the present paper, we applied the system to a working Process Design with three Design variables. To consider three Design variables, we make the searched region a 3-D region and improve this system to increase its efficiency to search. The improved system is applied to the optimum Process Design of the complex cup deep drawing. Further, the validity of this system is verified by comparison to experimental results.
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Development of optimum Process Design system by numerical simulation
Journal of Materials Processing Technology, 1996Co-Authors: Tomiso Ohata, Yasunori Nakamura, Tsutao Katayama, Eiji Nakamachi, Kenji NakanoAbstract:Abstract Now, the development of optimum forming Process Design system based on computer simulation to reduce the time consumption is strongly required in the industries. In this study, the optimum Process Design system is newly developed in conjunction with the nonlinear FEA code and the nonlinear optimization code. In the latter code, “Sweeping Simplex Method” is newly proposed, which can find the global minimum. The accuracy and quickness of this method to find the global minimum of objective function, which have several local minimum points, is confirmed by comparison with the grid method. This numerical system is applied to the Process Design of complicate shaped cup deep drawing. In order to form the sheet metal with uniform thickness, “Deviation of thickness from uniform average thickness” is employed as the objective function, and the global minimum point in the Design variable space is searched by “Sweeping Simplex Method”. For the Design variables, the heights of two punches in first stage forming are employed. The optimum Process condition was determined by using this numerical code and also the validity of this code was confirmed by the comparison with the experimental observation results.
