Multi-performance optimization in hard turning of AISI 4340 Steel using Particle Swarm Optimization technique

Author:

Manav Omkar,Chinchanikar Satish,Gadge Mahinder

Publisher

Elsevier BV

Subject

General Medicine

Reference30 articles.

1. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method;IlhanAsilturk;Measurement,2011

2. Effect of cutting parameters on cutting force and surface roughness during finish hard turning AISI52100 grade steel;Gaurav Bartarya;Procedia CIRP,2012

3. Nanavati, Optimisation of machining parameters for turning operations based on response surface methodology;Makadia;Measurement,2013

4. A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiment;Paulo Davim;Journal of material processing technology,2001

5. Multi-responseoptimization of CNC turning parameters via Taguchi method-based response surface analysis;IlhanAsiltürk;Measurement,2012

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1. Parametric optimization of dry-turning of Nickel-Chromoly steel with various cutting tool using WASPAS method;Materials Today: Proceedings;2023-10

2. Performance assessment of different cooling conditions in the sustainable machining of Hastelloy X alloy;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2023-08-30

3. Annealing of Monel 400 Alloy Using Principal Component Analysis, Hyper-parameter Optimization, Machine Learning Techniques, and Multi-objective Particle Swarm Optimization;International Journal of Computational Intelligence Systems;2022-03-21

4. Predicting flow stress of Ni steel based on machine learning algorithm;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2021-12-30

5. Optimization of Dimensional Tolerances and Material Removal Rate in the Orthogonal Turning of AISI 4340 Steel;Periodica Polytechnica Mechanical Engineering;2021-07-06

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