Development of a Predictive Model and Optimization for the Kerf Properties and Delamination Length in AWJM of Kevlar Epoxy Composite

Abstract

Kevlar epoxy composite is a strong and light weight fiber reinforced polymer (FRP) composite material. It has wide applications in various domains such as aerospace, marine, automotive, military, and sports’ goods (Campbell, 2010). This paper describes the research work involved in studying the influence of process parameters on surface roughness and kerf taper and development of predicative model for the response in abrasive water jet machining (AWJM) of Kevlar epoxy composite. Design of experiments has been performed using response surface methodology and then based on experimental analysis predictive models have been developed to estimate surface roughness and kerf taper. In the present work, four process parameters namely stand-off distance, water pressure, traverse rate and abrasive mass flow rate are considered to study their influence on response characteristics. Experiments are performed according to response surface methodology design. The regression models have been developed to predict surface roughness, kerf taper and maximum delamination length in AWJM of Kevlar epoxy composite. Optimization of process parameters is performed to minimize surface roughness, kerf taper and delamination. Desirability function approach is used for optimization.