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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Particle swarm optimisation (PSO)-based tool path planning for 5-axis flank milling accelerated by graphics processing unit (GPU)
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Particle swarm optimisation (PSO)-based tool path planning for 5-axis flank milling accelerated by graphics processing unit (GPU)

机译：图形处理单元（GPU）加速的基于粒子群优化（PSO）的5轴侧面铣削刀具路径规划

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摘要

Multi-axis machining offers higher machining efficiency and superior shaping capability compared to 3-axis machining. Machining error control is a critical issue in 5-axis flank milling of complex geometries and there is still a lack of solutions. Previous studies have shown that optimisation-based tool path planning is a feasible approach to reduction of machining error. However, the error estimation is time-consuming in the optimisation process, thus limiting the practicality of this approach. In this work, we apply graphics processing unit (GPU) computing technology to solve this problem. A particle swarm optimisation (PSO)-based optimisation scheme is developed to generate a series of cutter locations (CLs) that produce a minimised error on the machined surface. The error amount induced by each CL is simultaneously calculated by the parallel processing units of GPU. The PSO search process driven by the aggregated result is effectively accelerated. Test results show that our approach outperforms previous optimisation methods in both solution quality and computation efficiency. This work demonstrates a novel application of GPU on Computer Aided Manufacturing/Computer Numerical Control.
机译：与三轴加工相比，多轴加工可提供更高的加工效率和出色的成型能力。加工误差控制是复杂几何形状的5轴侧面铣削中的关键问题，但仍然缺乏解决方案。先前的研究表明，基于优化的刀具路径规划是减少加工误差的可行方法。但是，误差估计在优化过程中很耗时，因此限制了该方法的实用性。在这项工作中，我们应用图形处理单元（GPU）计算技术来解决此问题。开发了基于粒子群优化（PSO）的优化方案，以生成一系列刀具位置（CL），这些位置在加工表面上产生的误差最小。 GPU的并行处理单元同时计算每个CL引起的错误量。有效地加快了由汇总结果驱动的PSO搜索过程。测试结果表明，我们的方法在解决方案质量和计算效率上都优于以前的优化方法。这项工作演示了GPU在计算机辅助制造/计算机数控中的新颖应用。

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