In this study, Artificial Neural Network (ANN) and Simulated Annealing (SA) techniques were integrated labeled as integrated ANN-SA to estimate optimal process parameters in abrasive waterjet (AWJ) machining operation. The considered process parameters include traverse speed, waterjet pressure, standoff distance, abrasive grit size and abrasive flow rate. The quality of the cutting of machined-...

Three separate aspects of cutting are investigated which complement other papers on the mechanics of separation processes presented at this interdisciplinary Theo Murphy meeting. They apply in all types of cutting whether blades are sharp or blunt, and whether the material being cut is 'hard, stiff and strong' or 'soft, compliant and weak'. The first topic discusses why it is easier to cut when...

Stamped steel body structures set a benchmark for construction and aesthetics that any alternative including carbon fiber body structures must meet. The challenge to carbon fiber body structure manufacturers is to achieve the traditional body structure standards while maintaining the most competitive possible per part manufacturing costs. Fortunately for these manufacturers there is a great dea...

Research on the Prediction Model for Abrasive Water Jet Cutting Based on GA-BP Neural Network Songsheng Deng, Lianhuan Guo, Jinfa Guan, Guangdong Guo, Xin Yang* Department of Military Oil Supply Engineering, Logistic Engineering University of PLA, Chongqing 401331, China Naval University of Engineering, PLA, Tianjin 300450, China Department of Industrial & Manufacturing Engineering, Florida Sta...

Abrasive Water Jet Machining is an unconventional machining process well known for machining hard to cut materials. The primary research focus on the process was for through cutting and a very limited literature is available on pocket milling using AWJM. The present work is an attempt to use this process for milling applications considering a set of various process parameters. Four different in...

The aim of this work is to analyze the micro mechanisms underlying the wear of macroscale tools during diamond machining of SiCp/Al6063 composites and to develop the mechanism-based diamond wear model in relation to the dominant wear behaviors. During drilling, high volume fraction SiCp/Al6063 composites containing Cu, the dominant wear mechanisms of diamond tool involve thermodynamically activ...