Experimental Investigation on Dust Absorption AJM with Response Surface Regression Methods

Authors

  • Ajay Das Manikunnel Department of Mechanical Engineering, St. Joseph’s College of Engineering & Technology (SJCET) Palai, APJ Abdul Kalam Technological University, Kerala Author
  • Tom Zacharia Department of Mechanical Engineering, St. Joseph’s College of Engineering & Technology (SJCET) Palai, APJ Abdul Kalam Technological University, Kerala Author
  • Lijo Paul Department of Mechanical Engineering, St. Joseph’s College of Engineering & Technology (SJCET) Palai, APJ Abdul Kalam Technological University, Kerala Author

DOI:

https://doi.org/10.21467/proceedings.7.5.12

Keywords:

Abrasive Jet Machining, Material Removal Rate, Stand Off Distance

Abstract

The contemporary era of advanced machining necessitates the production of components that preserve precision sharp edges, high accuracy, and correct dimensions. These specifications can be achieved by modern machining processes such as Abrasive Jet Machining (AJM). The experimental study was designed according to the Taguchi method. The experimental work involved altering various process factors that influence the performance of Abrasive Jet Machining (AJM). This study investigates an aluminum workpiece using silicon carbide (SiC) as the abrasive. Parameters that were examined include air jet pressure, stand-off distance, and abrasive particle size, derived using the Taguchi L27 orthogonal array, with corresponding material removal rate (MRR) values recorded. The workpiece is submerged in a liquid solution to mitigate silica dust. Analysis of 27 experimental sets utilizing Taguchi methodology reveals from the surface plots that the optimal material removal rate is achieved with an abrasive grain size of 120 grit, a stand-off distance of 1 mm, and an air jet pressure of 6 bar.

References

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Published

2025-09-23

How to Cite

[1]
A. D. Manikunnel, T. Zacharia, and L. Paul, “Experimental Investigation on Dust Absorption AJM with Response Surface Regression Methods”, AIJR Proc., vol. 7, no. 5, pp. 87–99, Sep. 2025, doi: 10.21467/proceedings.7.5.12.