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 visuali...
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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