Analysis and optimization of machining parameters of AZ91 alloy nanocomposite with the Influences of nano ZrO2 through vacuum diecast process

被引:3
作者
Venkatesh, R. [1 ]
Hossain, Ismail [2 ]
Mohanavel, V. [3 ,4 ]
Soudagar, Manzoore Elahi M. [5 ,6 ]
Alharbi, Sulaiman Ali [7 ]
Al Obaid, Sami [7 ]
机构
[1] Saveetha Univ, Saveetha Inst Med & Tech Sci SIMATS, Saveetha Sch Engn, Dept Mech Engn, Chennai 602105, Tamil Nadu, India
[2] Ural Fed Univ, Dept Nucl & Renewable Energy, Ekaterinburg 620002, Russia
[3] Bharath Inst Higher Educ & Res, Ctr Mat Engn & Regenerat Med, Chennai 600073, Tamil Nadu, India
[4] Chandigarh Univ, Dept Mech Engn, Mohali 140413, Punjab, India
[5] Graph Era Deemed Univ, Dept Mech Engn, Dehra Dun 248002, Uttarakhand, India
[6] Amity Univ, Dept Mech Engn, Dubai 345019, U Arab Emirates
[7] King Saud Univ, Coll Sci, Dept Bot & Microbiol, POB 2455, Riyadh 11451, Saudi Arabia
关键词
ANOVA; AZ91; Performance measures; vacuum die casting; ZrO2; MAGNESIUM ALLOY;
D O I
10.1016/j.heliyon.2024.e34931
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The magnesium alloy composite is a vital material for automotive applications due to its features like high stiffness, superior damping resistance, high strength, and lightweight. Here, the motto of research is to establish the AZ91 alloy nanocomposite with the exposures of 0, 1, 3, and 5 volume percentages (vol%) of nano zirconium dioxide (ZrO2) particles (50nm) through fluid stir metallurgy route associated with 1x105 Pa vacuum die cast process. Exposures on structural morphology, hardness, and impact toughness of composite are analyzed and identified as the nano AZ91 alloy composite enclosed with 5vol% is homogenous particle dispersion, enhanced hardness (97.6HV), and optimum toughness of 21.2J/mm2. However, composite faces machining difficulties due to the hard abrasive particles with higher hardness, resulting in tool wear. This experiment predicts the optimum mill parameters during the end mill operation of magnesium alloy nanocomposite (AZ91/5vol%) by using a tungsten carbide coated end mill cutter to attain the maximum metal removal rate with low surface roughness and tool wear analyzed via the general linear model (GLM) ANOVA approach. The input conditions for end milling operation vary, like feed rate (0.1 -0.4mm/rev), depth of cut (0.05 -0.2mm), and spindle speed (2501000rpm). During the ANOVA GLM approach, the L16 design experiment is fixed for further interaction analysis. The results predicted by the depth to cut and feed rate were dominant and played a major role in deciding the tool wear, surface roughness, and MRR.
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页数:13
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