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Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool

机译：基于人工神经网络的涂布硬质合金工具干燥硬转向过程的工具磨损估计

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D. Rajeev; D. Dinakaran; S.C.E. Singh;
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1. Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool [J] . D. RajeevDepartment of Mechanical Engineering Mar Ephraem College of Engineering and Technology Marthandam Kanyakumari Tamilnadu 629171 IndiaOther articles by this author:De Gruyter OnlineGoogle Scholar, D. DinakaranCentre for Automation and Robotics Hindustan University Chennai Tamilnadu 603103 IndiaOther articles by this author:De Gruyter OnlineGoogle Scholar, S.C.E. SinghCorresponding authorDepartment of Mechanical Engineering Mepco Schlenk Engineering College Sivakasi Tamilnadu 626005 IndiaEmailOther articles by this author:De Gruyter OnlineGoogle Scholar Bulletin of the Polish Academy of Sciences. Technical Sciences . 2017,第4期

机译：基于人工神经网络的带涂层硬质合金刀具对AISI4140钢干硬车削过程的刀具磨损估计
2. Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool [J] . Rajeev D., Dinakaran D., Singh S. C. E. Bulletin of the Polish Academy of Sciences. Technical Sciences . 2017,第4期

机译：基于人工神经网络的涂布硬质合金工具干硬转向过程的工具磨损估计
3. Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool [J] . Rajeev D., Dinakaran D., Singh S. C. E. Bulletin of the Polish Academy of Sciences. Technical Sciences . 2017,第4期

机译：基于人工神经网络的涂布硬质合金工具干燥硬转向过程的工具磨损估计
4. Tool Life and Flank Wear of Physical Vapour Deposited TiAlN Multilayer Coated Carbide End Mill Inserts When Machining AISI D2 Hardened Steel under Dry Cutting Condition [C] . N A J Hosni, M A Lajis, N H Rafai International Manufacturing Engineering Conference . 2014

机译：工具寿命和物理蒸汽沉积的侧面磨损TiAln多层涂层碳化物端铣刀在干切割条件下加工AISI D2硬化钢时
5. Tool life and flank wear modeling of physical vapour deposited titanium aluminum nitride/titanium nitride multilayer coated carbide inserts when end milling 4340 steel under dry and semi-dry cutting conditions [D] . Chakraborty, Pinaki 2007

机译：在干式和半干式切削条件下端铣4340钢时，物理气相沉积的氮化钛铝/氮化钛多层涂层硬质合金刀片的刀具寿命和侧面磨损模型
6. Prediction of Tool Wear Using Artificial Neural Networks during Turning of Hardened Steel [O] . Paweł Twardowski, Martyna Wiciak-Pikuła 2019

机译：硬化钢车削过程中使用人工神经网络预测刀具磨损
7. Tool Wear Performance of TiAlN/AlCrN Multilayer Coated Carbide Tool in Machining of AISI D2 Hardened Steel [O] . N. A. H. Jasni, M. A. Lajis, K. Kamdani, 2016

机译：TialN / alCrN多层涂层硬质合金刀具在aIsI D2硬化钢加工中的刀具磨损性能
8. Tool Wear Estimation Using Neural Networks [R] . Stevenson, F., Greenwood, D. 1990

机译：基于神经网络的刀具磨损估计

Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool

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