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Experimental Investigation and Modeling of the Kerf Profile in Submerged Milling by Macro Abrasive Waterjet.

Authors :
Ravi, Rajesh Ranjan
Kumar, T. N. Deepu
Srinivasu, D. S.
Source :
Journal of Manufacturing Science & Engineering. Sep2023, Vol. 145 Issue 9, p1-18. 18p.
Publication Year :
2023

Abstract

Toward achieving control over the kerfing through macro abrasive waterjet submerged milling, there is a need (i) to understand the influence of the water column height on the kerf quality and (ii) to develop a model for the prediction of the kerf characteristics. This study performs detailed experimentation to assess the kerf quality enhancement in submerged milling relative to the in-air milling on Al-6061 alloy. From the modeling perspective, there are very limited efforts in developing a comprehensive model that includes both the jet flow dynamics and material removal models-this is the missing link. Toward this, a comprehensive model is proposed and validated for the prediction of kerf in in-air and submerged conditions by considering (i) jet dynamics and (ii) jet-material interaction. From the experimental results, it is observed that by adopting the submerged milling, the damaged region, top kerf width and edge radius got reduced by 20.3%, 13.53%, and 22.7%, respectively. However, this enhancement in the kerf quality is associated with a reduction in the centerline erosion depth (hmax) by 12.33% and a material removal rate by 24.52%. The material removal mechanism is more uniform and directed in the submerged milling, whereas in-air is random. The proposed model predicted the kerf cross-sectional profile in submerged milling and in-air with a mean absolute error of 60 µm and 57 µm, squared Pearson correlation coefficient of 0.97 and 0.99, and the hmax with a maximum error of 1.3% and 1.4%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10871357
Volume :
145
Issue :
9
Database :
Academic Search Index
Journal :
Journal of Manufacturing Science & Engineering
Publication Type :
Academic Journal
Accession number :
175691588
Full Text :
https://doi.org/10.1115/1.4062547