Optimization of Surface Roughness and Tool Wear during Machining of AMMC using Taguchi Technique

被引：2

作者：

Surendran, Srinivasan ^{[1
]}

Sundaram, Thirumurugaveerakumar ^{[2
]}

Kumar, Sathish P. ^{[3
]}

机构：

[1] Nehru Inst Technol, Dept Mech Engn, Coimbatore, Tamil Nadu, India

[2] Kumaraguru Coll Technol, Dept Mech Engn, Coimbatore, Tamil Nadu, India

[3] Study World Coll Engn, Dept Mech Engn, Coimbatore, Tamil Nadu, India

来源：

CHIANG MAI JOURNAL OF SCIENCE | 2022年 / 49卷 / 06期

关键词：

stir casting; Taguchi technique; surface roughness; tool wear; machining; composite; METAL-MATRIX COMPOSITE;

D O I：

10.12982/CMJS.2022.095

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：

Metal matrix composite materials are used in several industrial applications due to its improved specific strength, capacity, good wear resistance, and high specific modulus and so on. In this work, the Aluminium alloy Al6061 is used as the matrix and 15% of volume fraction of silicon carbide is used as the reinforcing element to fabricate a MMC by stir casting process. The turning process parameters of Aluminium metal matrix composite (AMMC) considered in this work are cutting speed, feed, nozzle diameter and steam pressure and the responses surface roughness and tool wear. Taguchi technique is used in this research work to obtain optimum results and the S/N ratio is used as the quality characteristics and in this work L32 orthogonal array is used to conduct 32 experiments. It is observed that surface roughness of the AMMC is highly influenced by the nozzle diameter and it contributes to 19.87% and Tool wear of the AMMC is highly influenced by the steam pressure and it contributes to 7.12%.

引用

页码：1653 / 1662

页数：10

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