New nonlinear regression modeling and multi-objective optimization of cutting parameters in drilling of GFRE composites to minimize delamination

Faculty	Engineering	Year:	2019
Type of Publication:	ZU Hosted	Pages:
Authors:	Mohamed Ali Elsayed Mohamed Agwa Staff Zu Site Abstract In Staff Site
Journal:	Polymer Testing Elsevier	Volume:

Keywords :	, nonlinear regression modeling , multi-objective optimization , cutting
Abstract:	New nonlinear regression modeling and multi-objective optimization of cutting parameters in drilling of GFRE composites to minimize delamination

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