1887

n South African Journal of Industrial Engineering - Reducing surface roughness by optimising the turning parameters

USD

 

Abstract

Modern manufacturers worldwide look for the cheapest quality-manufactured machined components to compete in the market. Good surface quality is desired for the proper functioning of the parts produced. The surface quality is influenced by the cutting speed, feed rate, depth of cut, and many other parameters. In this paper, the Taguchi method - a powerful tool to design optimisation for quality - is used to find the optimal machining parameters for the turning operation. An orthogonal array, the signal-to-noise (S/N) ratio, and the analysis of variance (ANOVA) are employed to investigate the machining characteristics of super duplex stainless steel bars using uncoated carbide cutting tools. The effect of machining parameters on surface roughness was discovered. Confirmation tests were conducted at optimal conditions to compare the experimental results with the predicted values.

In die huidige produksieomgewing wil vervaardigers die goedkoopste gehalte gemasjineerde komponente bekom om in die mark mee te ding. 'n Gehalte-oppervlakafwerking word verlang vir die behoorlike werking van die geproduseerde onderdele. Die oppervlak-afwerking word beïnvloed deur voertempo, snydiepte en vele ander masjineringsparameters. In hierdie artikel word die Taguchi-metode, 'n kragtige benadering om met die oog op gehalte te optimiseer, gebruik om die optimale masjineringsparameters vir draaiwerk te bepaal. 'n Ortogonale reeks, die sein-tot-ruis-verhouding en die analise van die variansie word gebruik om die masjineringseienskappe van superdupleks vlekvryestaal stawe, wat met onbedekte karbiedsnybeitels gemasjineer word, te ondersoek. Die invloed van masjineringsparameters op die oppervlakgrofheid is so gevind. Toetse onder optimale toestande is geloods om te bevestig dat die eksperimentele resultate met die voorspelde waardes ooreenstem.

Loading

Article metrics loading...

/content/indeng/24/2/EJC144215
2013-08-01
2016-12-03
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error