GPU accelerated voxel-based machining simulation

Abstract The simulation of subtractive manufacturing processes has a long history in engineering. Corresponding predictions are utilized for planning, validation and optimization, e.g., CNC-machining processes. With the up-rise flexible robotic machining advancements computational algorithmic capability, coupled machine-process behaviour complex large workpieces is within reach. These simulations require fast material removal analysis with high spatial resolution multi-axis operations. Within this contribution, we propose to leverage voxel-based concepts introduced computer graphics industry accelerate simulations. schemes well suited massive parallelization. By leveraging power offered by modern hardware, performance accuracy volumetric algorithms further improved. They now allow very accurate volume paper, detailed description data structures provided along benchmark common