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Predictive modeling of surface roughness and material removal rate in turning of UD-GFRP composites using carbide (K۱۰) tool

عنوان مقاله: Predictive modeling of surface roughness and material removal rate in turning of UD-GFRP composites using carbide (K۱۰) tool
شناسه ملی مقاله: JR_ADMTL-6-2_005
منتشر شده در در سال 1392
مشخصات نویسندگان مقاله:

Surinder Kumar

خلاصه مقاله:
This work presents an experimental investigation of the influence of the six important machining parameters (tool nose radius, tool rake angle, feed rate, cutting speed, cutting environment (dry, wet and cooled) and depth of cut) on surface roughness & material removal rate in the machining unidirectional glass fiber reinforced plastics (UD-GFRP) composite using carbide (K۱۰) cutting tool during turning operation. Orthogonal L۱۸ array in Taguchi method was employed to carry out the experimental work. ANOVA is performed for significant parameter and later Regression model is developed for the significant parameters. Validation (confirmatory) results indicate that the model is suitable for surface roughness & material removal rate during the study

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1198150/