Estimation and control of surface quality and traverse speed in abrasive water jet machining of AISI 1030 steel using different work-piece thicknesses by RSM

ABSTRACT

Abrasive water jet machining (AWJM) is an unconventional cutting method used in different industrial applications. The motive of this paper is to investigate the effect of traverse speed on surface roughness for a particular workpiece thickness. Three different plates of AISI 1030 steel as work-piece with thicknesses 4 mm, 6 mm and 8 mm are used to evaluate surface quality of cutting. Three response models for respective thicknesses are generated and checked on the basis of their prediction ability. It showed 8.71%, 8.11% and 7.83% error for surface roughness for three different thicknesses, respectively. Post validation, desired surface roughness values are placed in the response models for prediction of respective traverse speeds for three different thicknesses and represented in a graphical manner. This paper will help the AWJ machining operator to find out the precise cutting speed for achieving desired surface roughness.

KEYWORDS:

• Abrasive water jet machining
• Taguchi method
• surface roughness
• response surface methodology

Abbreviations and symbols

AWJM Abrasive water jet machining, ANOVA Analysis of Variance, MRR Material Removal Rate, RSM Response Surface Methodology, ANN Artificial Neural Network, T_vCutting speed, m/min, A_fFlow rate of abrasive, R_a Surface roughness in μm, R²Coefficient of determination, AE Absolute error, %, MAE Mean absolute error, %

Data Availability Statement

The authors confirm that the data supporting the findings of this study are available within the article or its supplementary materials.

Disclosure statement

‘The Author(s) declare(s) that there is no conflict of interest.’

Additional information

Notes on contributors

Yogesh Vasantrao Deshpande

Abhishek Madankar is the ex-student, Department of Industrial Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India.

Parikshit Dumbhare is doing MS from College of Engineering, Northeastern University, Boston, MA, US and ex-student, Department of Industrial Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India.

Dr. Yogesh V. Deshpande is Assistant professor in the Department of Industrial Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India. He has done PhD in Mechanical Engineering from Visvesvaraya National Institute of Technology, Nagpur, India. His research area is machining science technology and completed research in cryogenic machining of Nickel based supper-alloy.

Dr. Atul B. Andhare is Associate professor in the Department of Mechanical Engineering, Visvesvaraya National Institute of Technology, Nagpur, India. He has done PhD in Mechanical Engineering from IIT, Bombay. His research area is condition monitoring, vibration analysis, machining science technology, nano-machining of titanium alloy and cryogenic machining of nickel alloy.

Prof. Purushottam S. Barve is Assistany professor, Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India. He has done post-graduation in Industrial Engineering from Shri Ramdeobaba College of Engineering and Management, Nagpur, India. His research area is conventional and unconventional machining processes.