A constrained multi-objective optimization of turning process parameters by genetic algorithm and particle swarm optimization techniques

Author:

Gadagi Amith,Adake Chandrashekar

Publisher

Elsevier BV

Subject

General Medicine

Reference13 articles.

1. A multiple regression model to predict in-process surface roughness in turning operation via accelerometer;Huang;J. Ind. Technol.,2001

2. Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method;Asiltürka;Expert Syst. Appl.,2011

3. Modelling and optimization of the surface roughness in the dry turning of the cold rolled alloyed steel using regression analysis;TanikićI;J. Braz. Soc. Mech. Sci. Eng.,2012

4. Optimizing cutting conditions and prediction of surface roughness in face milling of AZ61 using regression analysis and artificial neural network;Alharthi;Hindawi Adv. Mater. Sci. Eng.,2017

5. Minimization of turning time for high-strength steel with a given surface roughness using the Edgeworth-Pareto optimization method;Abbas;Int. J. Adv. Manuf. Technol.,2017

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