A novel multi-objective optimization approach of machining parameters with small sample problem in gear hobbing

Author:

Cao W. D.,Yan C. P.,Wu D. J.,Tuo J. B.

Funder

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference29 articles.

1. Yi Q, Li CB, Tang Y, Chen XZ (2015) Multi-objective parameter optimization of CNC machining for low carbon manufacturing. J Clean Prod 95:256–264

2. Li CB, Tang Y, Cui LG, Yi Q (2013) Quantitative analysis of carbon emissions of CNC-based machining systems. IEEE Int C Netw Sens 4(7) 869–874

3. Cao WD, Yan CP, Ding L, Ma YF (2016) A continuous optimization decision making of process parameters in high-speed gear hobbing using IBPNN/DE algorithm. Int J Adv Manuf Technol 85(9–12):2657–2667

4. D'Addona DM, Teti R (2013) Genetic algorithm-based optimization of cutting parameters in turning processes. Proc CIRP 7:323–328

5. Sreeram S, Kumar AS, Rahman M, Zaman MT (2006) Optimization of cutting parameters in micro end milling operations in dry cutting condition using genetic algorithms. Int J Adv Manuf Technol 30(11–12):1030–1039

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