Application of fuzzy and rough sets theory in the optimization of machining parameters for mold milling operations

Author:

Yajun Jiang,Zhenliang Lou,Minghui Li

Publisher

Springer Science and Business Media LLC

Subject

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

Reference16 articles.

1. Azouzi R, Guillot M (1998) On-line optimization of the turning using an inverse process neurocontroller. Trans ASME J Manuf Sci Eng 120:101–107

2. Lee JS, Park MW (1997) Computer-aided operation planning system for automatic machining of injection mold die. JSME Int J Series C 40:793–800

3. Yazar Z, Koch KF, Merrick T (1994) Feed rate optimization based on cutting force calculations in 3-axis milling of dies and molds with sculptured surfaces. Int J Mach Tools Manuf 34:365–377

4. Yang Y, Shen X, Shao H (2001) Machining parameter optimization of milling process based on genetic algorithms. Mach Des Res 17(2):60–62

5. Cus F, Balic J, Kopac J (2002) Optimization of milling parameters by GA approach. In: Proceedings of the Asian Simulation Conference, Shanghai, Syst Simul Sci Comput 2: 974–979

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1. Five-Axis Tool Path Generation of Injection Mold Represented by T-Spline Surface;Advances in Polymer Technology;2020-03-09

2. An ANN-Based Method to Predict Surface Roughness in Turning Operations;Arabian Journal for Science and Engineering;2017-01-05

3. Numerical and intelligent analysis of silicon nitride laser grooving;The International Journal of Advanced Manufacturing Technology;2015-03-11

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