Predictive Modeling and Experimental Validation of the Penetration Depth in Abrasive Water Jet Machining

Authors

  • Ketan D. Panchal Department of Mechanical Engineering, Dr. S. & S. S. Ghandhy Government Engineering College, Surat, India
  • Choon Kit Chan Faculty of Engineering and Quantity Surveying, INTI International University, 71800 Nilai, Negeri Sembila, Malaysia
  • Chandrakant R. Sonawane Symbiosis Institute of Technology (SIT), Symbiosis International Deemed University (SIU), Pune, India | Symbiosis Center for Nanoscience and Nanotechnology, Symbiosis International Deemed University (SIU), Pune, India
  • Satish Kumar Symbiosis Institute of Technology (SIT), Symbiosis International Deemed University (SIU), Pune, India | Symbiosis Center for Applied Artificial Intelligence, Symbiosis International Deemed University (SIU), Pune, India
  • Kishor B. Waghulde Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, Maharashtra, India
  • Subhav Singh Division of Research and Innovation, Uttaranchal University, Dehradun, India | Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144411, India
  • Deekshen Varshaney Centre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, 140417, India | Centre for Promotion of Research, Graphic Era (Deemed to be University), Uttarakhand, Dehradun, 248001, India
Volume: 15 | Issue: 5 | Pages: 27213-27218 | October 2025 | https://doi.org/10.48084/etasr.12050

Received: 10 May 2025 | Revised: 25 May 2025 | Accepted: 15 June 2025 | Online: 17 August 2025


Corresponding author: Chandrakant R. Sonawane

Abstract

This paper thoroughly examines the development of a prediction model for key process parameters, along with its evaluation through rigorous experimentation, to enhance the cutting performance of Abrasive Water Jet (AWJ) machining. Numerous analytical and predictive models for forecasting penetration depth in AWJ machining have been reported by various researchers. In this work, a dimensional analysis approach is employed to develop a predictive model for penetration depth that incorporates the kerf wall drag coefficient and applies the boundary layer theorem. The study experimentally investigates several ferrous and non-ferrous workpiece materials, such as EN 8 steel and alumina ceramic. Experiments on two distinct target materials utilizing two different AWJ machine setups show good agreement with the proposed model. The industrial application of these models will increase understanding of the complex AWJ machining process and reduce the need for costly experiments in the future. 

Keywords:

EN 8 steel, Abrasive Water Jet (AWJ) cutting, Material Removal Rate (MRR), penetration depth, process innovation

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How to Cite

[1]
K. D. Panchal, “Predictive Modeling and Experimental Validation of the Penetration Depth in Abrasive Water Jet Machining”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 5, pp. 27213–27218, Oct. 2025.

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Copyright (c) 2025 Ketan D. Panchal, Choon Kit Chan, Chandrakant R. Sonawane, Satish Kumar, Kishor B. Waghulde, Subhav Singh, Deekshen Varshaney

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