Analysis and Optimization of End Milling Machining Parameters for Polypropylene composite using Taguchi based GRA
By: Arya, Gajendra
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Contributor(s): Gaur, M. K | Agrawal, Saurabh.
Publisher: New Delhi STM Journals 2018Edition: Vol. 8(3), Sep-Dec.Description: 91-100p.Subject(s): Mechanical EngineeringOnline resources: Click here
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Recent trends in mechanical engineering & technology (TMET)Summary: This paper offerings the effect of machining parameters on Surface roughness (Ra & Rz) and Machining time during end milling of polypropylene material on CNC milling machine at different levels. In this effort, the machining parameters namely milling speed (MS), feed (Feed) and depth of cut (DOC) were designed using Taguchi L16 experimental design matrix. The impact of all the input parameters on the response parameters (surface roughness and machining time) are optimized using GRA (grey relational analysis). The result of established mathematical model was scrutinized by ANOVA. Investigational results indicate that the feed rate (FD) is the most significant factor with the percentage contribution of 57.89% which affect the Surface roughness and Machining time during the process of material. The effect of milling speed and depth of cut are found to be insignificant as compared to the feed rate and their percentage contribution is 8.97% and 14.85%. The feed rate is suggested to be kept at the lower level for better optimization results. Finally, the confirmation test is carried out to measure the effectiveness of applied methodology.
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This paper offerings the effect of machining parameters on Surface roughness (Ra & Rz) and Machining time during end milling of polypropylene material on CNC milling machine at different levels. In this effort, the machining parameters namely milling speed (MS), feed (Feed) and depth of cut (DOC) were designed using Taguchi L16 experimental design matrix. The impact of all the input parameters on the response parameters (surface roughness and machining time) are optimized using GRA (grey relational analysis). The result of established mathematical model was scrutinized by ANOVA. Investigational results indicate that the feed rate (FD) is the most significant factor with the percentage contribution of 57.89% which affect the Surface roughness and Machining time during the process of material. The effect of milling speed and depth of cut are found to be insignificant as compared to the feed rate and their percentage contribution is 8.97% and 14.85%. The feed rate is suggested to be kept at the lower level for better optimization results. Finally, the confirmation test is carried out to measure the effectiveness of applied methodology.
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