Title: Experiment studies in abrasive waterjet cutting of materials

Biography:

Chithirai Pon Selvan obtained his Bachelors in Production Engineering, Masters in Computer Aided Design and PhD in Mechanical Engineering. Chithirai Pon Selvan has over twenty years of experience in teaching, educational assessment, classroom management and student relations. He has published 100+ research articles in International journals and conferences. He has been invited and honored as keynote speaker, session chair, resource person and technical committee member in various conferences in UAE, India, Thailand, Malaysia, UK, Germany & Italy. He is in the editorial board of more than 50 International journals. His research interests are in the areas of machine design, optimization techniques and manufacturing practices, particularly non-traditional manufacturing methods.

Abstract

Abrasive waterjet cutting is one of the unconventional machining processes capable of cutting wide range of difficult-to-cut materials. This process incurs comparatively higher initial investment, maintenance and operating costs. Therefore optimum choice of the process parameters is essential for the economic, efficient and effective utilization of this process. This paper assesses the influence of process parameters on depth of cut and surface roughness which are the important cutting performance measures in abrasive waterjet cutting of materials. Experiments were conducted by varying water pressure, nozzle traverse speed, abrasive mass flow rate and standoff distance for cutting materials using abrasive waterjet cutting process. The effects of these parameters on depth of cut and surface roughness have been studied based on the experimental results. In order to correctly select the process parameters, empirical models for the prediction of depth of cut in abrasive waterjet cutting of materials is developed using dimensional analysis technique. These developed models have been verified with the experimental results that reveal a high applicability of the models within the experimental range used.