International Journal of Science, Engineering and TechnologyAuthors: Sunil A Kumavat, Amol P Chaudhari
Abstract: This work presents an experimental investigation on the optimization of Abrasive Water Jet Machining (AWJM) parameters for rubber-based composite materials, which exhibit complex viscoelastic behaviour. Conventional machining methods often lead to deformation and thermal damage in such materials, making AWJM a suitable alternative due to its cold cutting nature. A Taguchi L27 orthogonal array was employed to systematically evaluate the influence of water pressure, traverse speed, and stand-off distance on surface roughness. A regression-based predictive model was developed to quantify parameter interactions. The statistical analysis confirmed that water pressure has the highest influence on surface quality, followed by traverse speed and stand-off distance. The optimal surface roughness of 2.857 µm was achieved at higher pressure levels combined with moderate-to-high traverse speed and increased stand-off distance. The results establish a parameter selection framework for efficient machining of deformable rubber materials and provide a basis for future integration of advanced predictive models
DOI: http://doi.org/10.5281/zenodo.20927704
