Predictive Modelling of Cutting Force in the Machining of Duplex Stainless Steels Using Artificial Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7971-2_48
Reference13 articles.
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2. Kumar STP, Prasada HPT, Nagamadhu M, Pattar N, Kivade SB, Sachinkumar et al (2022) Experimental investigation on the performance of different cutting fluids on cutting force during turning of duplex stainless steel-2205 under MQL Technique. Math Model Eng Probl 9(1):136–143
3. Reddy TS, Banik T, Velagala R, Kashyap S (2020) A study and modeling of cutting forces in dry turning of heat treated AISI H13 tool steel with brazed tungsten carbide tip. Mater Today Proc 24(2):704–713. Elsevier Ltd. https://doi.org/10.1016/j.matpr.2020.04.326
4. Lokesha, Nagaraj PB, Dinesh P (2020) Friction force during machining process – part 1: development of optimized neural network architecture. Mater Today Proc 27(2):1407–14100. Elsevier Ltd. https://doi.org/10.1016/j.matpr.2020.02.772
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