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首页> 外文期刊>Mathematical Problems in Engineering >Modified Mechanistic Model Based on Gaussian Process Adjusting Technique for Cutting Force Prediction in Micro-End Milling
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Modified Mechanistic Model Based on Gaussian Process Adjusting Technique for Cutting Force Prediction in Micro-End Milling

机译：基于高斯工艺调整技术的微终铣削切割力预测技术改进的机制模型

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摘要

Micro-end milling is in common use of machining micro- and mesoscale products and is superior to other micro-machining processes in the manufacture of complex structures. Cutting force is the most direct factor reflecting the processing state, the change of which is related to the workpiece surface quality, tool wear and machine vibration, and so on, which indicates that it is important to analyze and predict cutting forces during machining process. In such problems, mechanistic models are frequently used for predicting machining forces and studying the effects of various process variables. However, these mechanistic models are derived based on various engineering assumptions and approximations (such as the slip-line field theory). As a result, the mechanistic models are generally less accurate. To accurately predict cutting forces, the paper proposes two modified mechanistic models, modified mechanistic models I and II. The modified mechanistic models are the integration of mathematical model based on Gaussian process (GP) adjustment model and mechanical model. Two different models have been validated on micro-end-milling experimental measurement. The mean absolute percentage errors of models I and II are 7.76% and 6.73%, respectively, while the original mechanistic model's is 15.14%. It is obvious that the modified models are in better agreement with experiment. And model II performs better between the two modified mechanistic models.
机译：微端铣削是常用的加工微型和Mescle产品，优于制造复杂结构的其他微加工工艺。切割力是反映加工状态的最直接的因素，其变化与工件表面质量，工具磨损和机器振动有关，这表明在加工过程中分析和预测切割力是重要的。在这种问题中，机械模型经常用于预测加工力并研究各种过程变量的效果。然而，基于各种工程假设和近似（例如滑线场理论）来导出这些机制模型。结果，机械模型通常不太准确。为了准确预测切割力，本文提出了两种改进的机械模型，改性机制模型I和II。改进的机械模型是基于高斯工艺（GP）调整模型和机械模型的数学模型的集成。在微终铣削实验测量上验证了两种不同的模型。模型I和II的平均绝对百分比误差分别为7.76％和6.73％，而原始机制模型为15.14％。很明显，改进的模型与实验更好。模型II在两个修改的机制模型之间执行更好。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|7468698.1-7468698.12|共12页
  • 作者

    Liao Xiaoping; Zhang Zhenkun; Chen Kai; Li Kang; Ma Junyan; Lu Juan;

  • 作者单位

    Guangxi Univ Coll Mech & Engn Nanning 530004 Peoples R China;

    Guangxi Univ Coll Mech & Engn Nanning 530004 Peoples R China;

    Guangxi Univ Coll Mech & Engn Nanning 530004 Peoples R China;

    Guangxi Univ Coll Mech & Engn Nanning 530004 Peoples R China;

    Guangxi Univ Coll Mech & Engn Nanning 530004 Peoples R China;

    Guangxi Univ Coll Light Ind & Food Engn Nanning 530004 Peoples R China|Beibu Gulf Univ Coll Mech & Marine Engn Qinzhou 535011 Peoples R China;

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