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Engineering consistent machining forces in functionally graded materials
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DOI：10.1016/j.cirp.2026.04.083.png)
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摘要
En 中文
增材制造实现了功能更丰富的多材料功能梯度材料（FGMs），但后续加工仍具挑战性，因为流动应力随成分变化。本文提出了一种数据高效、基于物理指导的高斯过程（GP）模型，用于预测SS316/IN718 FGMs的铣削力，无需重复识别力系数。基于物理的铣削模型结合混合律基准线，通过稀疏力测量数据进行校正，而GP将残差学习为成分和参数的平滑函数。该模型将进给力预测误差从26.6%降至19.2%，法向力预测误差从19.8%降至10.6%，同时自适应进给调度将峰值力变化从约50%降至约8%。
Keyword:
Milling
Force
Functionally graded materials
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论文数:
200
被引数:
1
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