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A Combined Empirical and Numerical Approach for Tool Wear Prediction in Machining

机译：经验和数值相结合的加工中刀具磨损预测方法

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Hosseinkhani Keyvan; Ng E.;
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年度 2015
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1. A Combined Empirical and Numerical Approach for Tool Wear Prediction in Machining [J] . Keyvan Hosseinkhani, E. Ng Procedia CIRP . 2015,第2期

机译：经验和数值相结合的加工中刀具磨损预测方法
2. Estimation the wear state of milling tools using a combined ensemble empirical mode decomposition and support vector machine method [J] . Chuangwen XU, Yuzhen CHAI, Huaiyuan LI, Journal of Advanced Mechanical Design, Systems, and Manufacturing . 2018,第2期

机译：结合综合经验模态分解和支持向量机方法估算铣刀的磨损状态
3. Modeling of Principal Flank Wear: An Empirical Approach Combining the Effect of Tool, Environment and Workpiece Hardness [J] . Mozammel Mia, Mahmood Al Bashir, Nikhil Ranjan Dhar Journal of The institution of engineers (India), Series C . 2016,第4期

机译：主翼磨损建模：结合工具，环境和工件硬度影响的经验方法
4. A Combined Empirical and Numerical Approach for Tool Wear Prediction in Machining [C] . Keyvan Hosseinkhani, E. Ng CIRP Conference on Modelling of Machining Operations . 2015

机译：加工工具磨损预测的综合实证与数值方法
5. Prediction of the wear and evolution of cutting tools in a carbide / titanium-aluminum-vanadium machining tribosystem by volumetric tool wear characterization and modeling. [D] . Kuttolamadom, Mathew Abraham. 2012

机译：通过体积刀具磨损特征和建模，预测硬质合金/钛-铝-钒加工摩擦系统中切削刀具的磨损和演变。
6. Prediction and optimization of tool wear rate during electric discharge machining of Al/Cu/Ni alloy using adaptive neuro-fuzzy inference system [O] . Mangesh Phate, Aditya Bendale, Shraddha Toney, 2020

机译：应用自适应神经模糊推理系统Al / Cu / Ni合金电气放电加工过程中工具磨损率的预测与优化
7. Estimation the wear state of milling tools using a combined ensemble empirical mode decomposition and support vector machine method [O] . Chuangwen XU, Yuzhen CHAI, Huaiyuan LI, 2018

机译：使用组合集合经验模式分解和支持向量机方法估计铣削工具的磨损状态

A Combined Empirical and Numerical Approach for Tool Wear Prediction in Machining

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