An Overview on Milling Force Prediction Methods and Influencing Factors
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摘要: 为减少航空发动机薄壁件铣削加工过程中的加工变形,提高加工质量,需对铣削加工过程中的切削力进行预测。因此,综述了多远回归分析预测模型、微元铣削力预测模型、有限元预测模型和人工神经网络预测模型,并对切削用量、刀具几何参数、工件材料、冷却作用、刀具材料和刀具磨损对铣削力的影响进行了分析。Abstract: In order to improve the machining precision of thin-walled parts milling force during machining in aircraft engines, the amount of milling force must be accurately predicted. In this paper, different approaches of three-dimensional milling force prediction modeling are discussed, which include multi-linear regression analysis model, infinitesimal milling force prediction model, finite element prediction models and artificial neural network model. And an impact of cutting parameter, tool geometry, workpiece material, cooling, tool material and tool wear on the cutting force is analyzed.
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