Version 1
: Received: 16 April 2017 / Approved: 18 April 2017 / Online: 18 April 2017 (03:27:01 CEST)
How to cite:
Hwang, S.; Li, X. Multi-Optimization of Performance Parameters in Turn-Boring for Difficult-to-Cut Ti-6Al-4V. Preprints2017, 2017040104. https://doi.org/10.20944/preprints201704.0104.v1
Hwang, S.; Li, X. Multi-Optimization of Performance Parameters in Turn-Boring for Difficult-to-Cut Ti-6Al-4V. Preprints 2017, 2017040104. https://doi.org/10.20944/preprints201704.0104.v1
Hwang, S.; Li, X. Multi-Optimization of Performance Parameters in Turn-Boring for Difficult-to-Cut Ti-6Al-4V. Preprints2017, 2017040104. https://doi.org/10.20944/preprints201704.0104.v1
APA Style
Hwang, S., & Li, X. (2017). Multi-Optimization of Performance Parameters in Turn-Boring for Difficult-to-Cut Ti-6Al-4V. Preprints. https://doi.org/10.20944/preprints201704.0104.v1
Chicago/Turabian Style
Hwang, S. and Xin-Tang Li. 2017 "Multi-Optimization of Performance Parameters in Turn-Boring for Difficult-to-Cut Ti-6Al-4V" Preprints. https://doi.org/10.20944/preprints201704.0104.v1
Abstract
The present study propose an innovative turn-boring operation method and focuses on finding optimal turn-boring process parameters for Ti-6Al-4V by considering multiple performance characteristics using Taguchi orthogonal array with the grey relational analysis, the effect of machining variables such as, feed rate, depth of cut and cutting speed are optimized with considerations of multiple performance characteristics namely surface roughness, roundness error, material removal rate and power consumption the optimal values were found out from the Grey relational grade. The result of the Analysis of Variances (ANOVA) is shown that the most significant factor is cutting speed, followed by feed rate, radial depth of cut. Finally, confirmation tests were carried out to make a comparison between the experimental results. Experimental results have shown that machining performance in the turn-boring process can be improved effectively through this approach.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
