The Optimization of the Surface Roughness of Milled Polypropylene + 60wt.% Quarry Dust Composite Using the Taguchi Technique

Harrison Shagwira, F. M. Mwema*, J. O. Obiko, T. O. Mbuya, E. T. Akinlabi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


This study is based on the optimization of the parameters that influence the computer numerical control (CNC) milling operation during the machining of polypropylene+60wt.% quarry dust composite. The input parameters studied are the cutting speed, the feed rate and the depth of cut. These input parameters were optimized using the Taguchi optimization technique with the output response taken into consideration was the surface roughness. An L9 orthogonal array (OA) was selected and formulated in a commercial software Minitab 19 based on three factors and three levels combination. The signal-to-noise (S/N) ratio was analysed to give a combination of values of the input parameters that produced optimum results for surface roughness. The analysis of variance (ANOVA) was then conducted to determine the significance and percentage contribution of each parameter. From the results, the optimum values obtained were cutting speed of 1000 rpm, feeding rate of 120 mm/min and depth of cut of either 0.5 mm or 0.8 mm. The cutting speed had the highest contribution towards the surface roughness at 81.98%, followed by the depth of cut at 7.43% and the feed rate having the least contribution at 3.69%.

Original languageEnglish
Title of host publicationAdvances in Material Science and Engineering
Subtitle of host publicationSelected articles from ICMMPE 2020
EditorsMokhtar Awang, Seyed Sattar Emamian
Place of PublicationSingapore, Asia
Number of pages6
ISBN (Electronic)9789811636417
ISBN (Print)9789811636400, 9789811636431
Publication statusPublished - 6 Jul 2021
Externally publishedYes
Event6th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2020 - Virtual, Online
Duration: 25 Nov 202026 Nov 2020

Publication series

NameLecture Notes in Mechanical Engineering (LNME)
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364


Conference6th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2020
CityVirtual, Online

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