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Mathematical Modelling and Optimization of Cutting Force, Tool Wear and Surface Roughness by Using Artificial Neural Network and Response Surface Methodology in Milling of Ti-6242S

机译：Ti-6242s铣削人工神经网络和响应面法在切削力，刀具磨损和表面粗糙度方面的数学建模与优化

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Erol Kilickap; Ahmet Yardimeden; Yahya Hışman Çelik;
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年度 2017
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3. Application of artificial neural network and optimization algorithms for optimizing surface roughness, tool life and cutting forces in turning operation [J] . F. Jafarian, M. Taghipour, H. Amirabadi Journal of Mechanical Science and Technology . 2013,第5期

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7. On the Modeling of Surface Roughness and Cutting Force when Turning of Inconel 718 Using Artificial Neural Network and Response Surface Methodology: Accuracy and Benefit [O] . Hamid Tebassi, Mohamed Athmane Yallese, Ikhlas Meddour, 2017

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Mathematical Modelling and Optimization of Cutting Force, Tool Wear and Surface Roughness by Using Artificial Neural Network and Response Surface Methodology in Milling of Ti-6242S

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