Machining Simulation and Cutting Force Prediction with GPGPU: Parallel Computations in the Mechanical Engineering

 
9783659235412: Machining Simulation and Cutting Force Prediction with GPGPU: Parallel Computations in the Mechanical Engineering
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This book deals with the use of general-purpose graphics processing units (GPGPU) for material removal simulation and cutting force prediction of multi-axis machining processes. A research is presented in this subject that has two main goals. The first is to create a material removal simulation technique for 5-axis machining that enjoys the benefits of the highly parallel program execution on general-purpose graphics processing units, the newest generation of graphics hardware. This means the minimizing of the CPU intervention in data conversion, data representation and processing, and visualization. The second part of the work focuses on the applicability and feasibility questions of the mechanistic cutting force model. It has been assumed that two main objectives must be fulfilled to make the model more effective in practice. First of all, the way of force-calculation must be reconstructed to fit the requirements of the real-time multi-axis simulation. Secondly, the method of determining the coefficients – which play an important role in the force equations – must be fastened and simplified. The book presents the way these aims have been reached with the use of GPGPU.

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About the Author:

Balázs Tukora received M.S. degree in electrical engineering and Ph.D. degree in mechanical engineering from the Budapest University of Technology and Economics. Now he is an assistant professor at the University of Pécs, Hungary. His research activity focuses on parallel computations on the new-generation graphics processing units.

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Book Description Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | Parallel Computations in the Mechanical Engineering | This book deals with the use of general-purpose graphics processing units (GPGPU) for material removal simulation and cutting force prediction of multi-axis machining processes. A research is presented in this subject that has two main goals. The first is to create a material removal simulation technique for 5-axis machining that enjoys the benefits of the highly parallel program execution on general-purpose graphics processing units, the newest generation of graphics hardware. This means the minimizing of the CPU intervention in data conversion, data representation and processing, and visualization. The second part of the work focuses on the applicability and feasibility questions of the mechanistic cutting force model. It has been assumed that two main objectives must be fulfilled to make the model more effective in practice. First of all, the way of force-calculation must be reconstructed to fit the requirements of the real-time multi-axis simulation. Secondly, the method of determining the coefficients which play an important role in the force equations must be fastened and simplified. The book presents the way these aims have been reached with the use of GPGPU. | Format: Paperback | Language/Sprache: english | 203 gr | 220x150x7 mm | 140 pp. Seller Inventory # K9783659235412

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Book Description LAP Lambert Academic Publishing Nov 2012, 2012. Taschenbuch. Condition: Neu. Neuware - This book deals with the use of general-purpose graphics processing units (GPGPU) for material removal simulation and cutting force prediction of multi-axis machining processes. A research is presented in this subject that has two main goals. The first is to create a material removal simulation technique for 5-axis machining that enjoys the benefits of the highly parallel program execution on general-purpose graphics processing units, the newest generation of graphics hardware. This means the minimizing of the CPU intervention in data conversion, data representation and processing, and visualization. The second part of the work focuses on the applicability and feasibility questions of the mechanistic cutting force model. It has been assumed that two main objectives must be fulfilled to make the model more effective in practice. First of all, the way of force-calculation must be reconstructed to fit the requirements of the real-time multi-axis simulation. Secondly, the method of determining the coefficients which play an important role in the force equations must be fastened and simplified. The book presents the way these aims have been reached with the use of GPGPU. 140 pp. Englisch. Seller Inventory # 9783659235412

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Book Description LAP Lambert Academic Publishing Nov 2012, 2012. Taschenbuch. Condition: Neu. Neuware - This book deals with the use of general-purpose graphics processing units (GPGPU) for material removal simulation and cutting force prediction of multi-axis machining processes. A research is presented in this subject that has two main goals. The first is to create a material removal simulation technique for 5-axis machining that enjoys the benefits of the highly parallel program execution on general-purpose graphics processing units, the newest generation of graphics hardware. This means the minimizing of the CPU intervention in data conversion, data representation and processing, and visualization. The second part of the work focuses on the applicability and feasibility questions of the mechanistic cutting force model. It has been assumed that two main objectives must be fulfilled to make the model more effective in practice. First of all, the way of force-calculation must be reconstructed to fit the requirements of the real-time multi-axis simulation. Secondly, the method of determining the coefficients which play an important role in the force equations must be fastened and simplified. The book presents the way these aims have been reached with the use of GPGPU. 140 pp. Englisch. Seller Inventory # 9783659235412

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Book Description LAP Lambert Academic Publishing Nov 2012, 2012. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - This book deals with the use of general-purpose graphics processing units (GPGPU) for material removal simulation and cutting force prediction of multi-axis machining processes. A research is presented in this subject that has two main goals. The first is to create a material removal simulation technique for 5-axis machining that enjoys the benefits of the highly parallel program execution on general-purpose graphics processing units, the newest generation of graphics hardware. This means the minimizing of the CPU intervention in data conversion, data representation and processing, and visualization. The second part of the work focuses on the applicability and feasibility questions of the mechanistic cutting force model. It has been assumed that two main objectives must be fulfilled to make the model more effective in practice. First of all, the way of force-calculation must be reconstructed to fit the requirements of the real-time multi-axis simulation. Secondly, the method of determining the coefficients which play an important role in the force equations must be fastened and simplified. The book presents the way these aims have been reached with the use of GPGPU. 140 pp. Englisch. Seller Inventory # 9783659235412

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Book Description LAP Lambert Academic Publishing. Paperback. Condition: New. 140 pages. Dimensions: 8.7in. x 5.9in. x 0.3in.This book deals with the use of general-purpose graphics processing units (GPGPU) for material removal simulation and cutting force prediction of multi-axis machining processes. A research is presented in this subject that has two main goals. The first is to create a material removal simulation technique for 5-axis machining that enjoys the benefits of the highly parallel program execution on general-purpose graphics processing units, the newest generation of graphics hardware. This means the minimizing of the CPU intervention in data conversion, data representation and processing, and visualization. The second part of the work focuses on the applicability and feasibility questions of the mechanistic cutting force model. It has been assumed that two main objectives must be fulfilled to make the model more effective in practice. First of all, the way of force-calculation must be reconstructed to fit the requirements of the real-time multi-axis simulation. Secondly, the method of determining the coefficients which play an important role in the force equations must be fastened and simplified. The book presents the way these aims have been reached with the use of GPGPU. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9783659235412

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