The high quality of the machined parts in a short time is a research challenge for enhancing these parts’ operating performance. Optimizing the machining operations and adequately selecting the cutting parameters can solve this challenge. Thus, this work proposes an optimization approach of the machining process parameters of epoxy hybrid nanocomposites reinforced by multiwall carbon nanotubes (MWCNTs) and aluminum oxide (Al2O3). Cutting speed (V), feed rate (F), insert nose radius, and depth of cut (D) were the machining parameters. The roundness error and surface roughness (Ra) were selected as process response control parameters. The optimization techniques such as response surface method (RSM) and grey relation analysis (GRA) with the variance of analysis (ANOVA) were involved. Forty experimental runs were performed. The RSM optimization and ANOVA results showed that the insert nose radius and F are the most significant factors that affect the Ra. Besides, the F is the most significant factor that affects the roundness error. V = 1000 mm/min, F = 0.08 mm/rev, insert nose radius of T1 = 0.8 mm, and D = 1 mm are the optimum values of the process parameters based on GRA for roundness errors and Ra.
Optimization Approach of Turning Process of Multiwalled Carbon Nanotubes-Aluminium Oxide/Epoxy Hybrid Nanocomposites
Sae Int. J. Mater. Manf
Sae International Journal of Materials and Manufacturing
Sae International Journal of Materials and Manufacturing ; 14 , 4 ; 425-439
2021-06-15
15 pages
Aufsatz (Konferenz)
Englisch
Physical properties of multiwalled carbon nanotubes
British Library Online Contents | 1999
|CANEUS2006-11047 Intershell Coupling in Multiwalled Carbon Nanotubes
British Library Conference Proceedings | 2006
|Nanoengineering Ultra-High-Performance Concrete with Multiwalled Carbon Nanotubes
Transportation Research Record | 2010
|Nanoengineering Ultra-High-Performance Concrete with Multiwalled Carbon Nanotubes
Online Contents | 2010
|