Optimisation of Trap Design for Vibratory Bowl Feeders
Optimisation of Trap Design for Vibratory Bowl Feeders
复制标题
振动盘给料机陷阱设计的优化
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Lars
中科院分区：
文献类型：
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作者：
S. Mathiesen;Lars Carøe Sørensen;D. Kraft;Lars
振动碗式给料机（VBFs）是工业零件给料的一种广泛使用的选择，但它们的设计仍然主要是手动的。VBF设计的一个子任务是确定无源器件的最佳参数集，称为陷阱，VBF使用它来确保正确的零件方向。本文提出了一种快速鲁棒的陷阱优化策略，该策略利用动态仿真来有效地评估参数集的性能。优化策略基于贝叶斯优化，选择新的参数集进行评估，使用改进的上置信度界和核密度估计回归作为函数估计。对带有工业部件的四种不同陷阱进行了优化，并在仿真中测试了最佳参数集的鲁棒性。然后将陷阱组合以创建两个执行部件定向的序列，并在真实的VBF上对设计进行原型和测试。
Vibratory bowl feeders (VBFs) are a widely used option for industrial part feeding, but their design is still largely manual. A subtask of VBF design is determining an optimal parameter set for the passive devices, called traps, which the VBF uses to ensure correct part orientation. This paper proposes a fast and robust strategy for optimising traps, which makes use of dynamic simulation to efficiently evaluate the performance of parameter sets. The optimisation strategy is based on Bayesian Optimisation and selects new parameter sets to evaluate, using a modified Upper Confidence Bound with regression by Kernel Density Estimation as function estimator. The optimisation is run for four different traps with an industrial part and the best parameter sets are tested for robustness in simulation. The traps are then combined to create two sequences performing orientation of the parts and the designs are prototyped and tested on a real VBF.