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Article

Statistical Modeling of the Machinability of an In-Situ Synthesized RZ5/TiB2 Magnesium Matrix Composite in Dry Turning Condition

by
Arabinda Meher
1,*,
Manas Mohan Mahapatra
2,
Priyaranjan Samal
3,
Pandu Ranga Vundavilli
2 and
Karthik Venkitraman Shankar
4
1
Department of Mechanical Engineering and University Centre for Research & Development, Chandigarh University, Mohali 140413, Punjab, India
2
School of Mechanical Sciences, Indian Institute of Technology Bhubaneswar, Kansapada 752050, Odisha, India
3
Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, Andhra Pradesh, India
4
Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri 690525, Kerala, India
*
Author to whom correspondence should be addressed.
Crystals 2022, 12(10), 1353; https://doi.org/10.3390/cryst12101353
Submission received: 30 August 2022 / Revised: 22 September 2022 / Accepted: 23 September 2022 / Published: 25 September 2022
(This article belongs to the Special Issue Advances in Magnesium Alloys: Microstructure, Coating, and Machining)

Abstract

Machinability analyses of metal matrix composites are essential for manufacturing industries. The current study is focused on the mathematical modeling of the machinability of an in-situ synthesized RZ5-8 wt.% TiB2 composite using the Taguchi design statistical tools and analysis of variance (ANOVA). Taguchi’s method indicates that the feed rate is the most influential parameter, followed by the depth of cut and cutting speed in determining the cutting force and surface roughness during the machining of the RZ5/8 wt.% TiB2 composite. A regression analysis of the experimental data was carried out using ANOVA, and regression equations were established to estimate cutting force and surface roughness under different parametric conditions. The regression model was validated for other test conditions and the maximum deviation observed was ±10%. Main effects plots and response surface plots were developed to analyze the machining parameters’ individual and combined effects on the RZ5/8 wt.% TiB2 composite’s machinability. The chip morphology and tool wear of the RZ5/8 wt.% TiB2 composite were analyzed using FESEM under different machining conditions.
Keywords: machinability; Taguchi design; regression model; cutting force; surface roughness machinability; Taguchi design; regression model; cutting force; surface roughness

Share and Cite

MDPI and ACS Style

Meher, A.; Mahapatra, M.M.; Samal, P.; Vundavilli, P.R.; Shankar, K.V. Statistical Modeling of the Machinability of an In-Situ Synthesized RZ5/TiB2 Magnesium Matrix Composite in Dry Turning Condition. Crystals 2022, 12, 1353. https://doi.org/10.3390/cryst12101353

AMA Style

Meher A, Mahapatra MM, Samal P, Vundavilli PR, Shankar KV. Statistical Modeling of the Machinability of an In-Situ Synthesized RZ5/TiB2 Magnesium Matrix Composite in Dry Turning Condition. Crystals. 2022; 12(10):1353. https://doi.org/10.3390/cryst12101353

Chicago/Turabian Style

Meher, Arabinda, Manas Mohan Mahapatra, Priyaranjan Samal, Pandu Ranga Vundavilli, and Karthik Venkitraman Shankar. 2022. "Statistical Modeling of the Machinability of an In-Situ Synthesized RZ5/TiB2 Magnesium Matrix Composite in Dry Turning Condition" Crystals 12, no. 10: 1353. https://doi.org/10.3390/cryst12101353

APA Style

Meher, A., Mahapatra, M. M., Samal, P., Vundavilli, P. R., & Shankar, K. V. (2022). Statistical Modeling of the Machinability of an In-Situ Synthesized RZ5/TiB2 Magnesium Matrix Composite in Dry Turning Condition. Crystals, 12(10), 1353. https://doi.org/10.3390/cryst12101353

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