Fuzzy Logic Technique and Response Surface Methodology to Predict the Material removal rate of Abrasive Water Jet Process (AWJM) Parameters on Inconel – 188

Authors

  • Fathi Alfazani Department of Industrial & Manufacturing Engineering, Faculty of Engineering, Libyan International University, Benghazi, Libya
  • Abdelaziz Badi Department of Industrial & Manufacturing Engineering, Faculty of Engineering, Libyan International University, Benghazi, Libya
  • Omar Al Denali Department of Industrial & Manufacturing Engineering, Faculty of Engineering, Libyan International University, Benghazi, Libya

Keywords:

Fuzzy Logic, RSM, AWJM, MRR

Abstract

Abrasive waterjet machining (AWJM) is a non-traditional machining process that uses a high-pressure jet of water and abrasive particles to remove material from a workpiece. The AWJM process is complex and highly dynamic, making it difficult to predict and control the machining parameters. In this paper two models have been developed using Fuzzy Logic Technique (FL) and Response Surface Methodology (RSM) in order to predict material removal rate (MRR). The Mean absolute percentage error (MAPE) statistical criteria were 2.8% and 2.40% for the FL and RSM, respectively. As a result, using fuzzy logic to anticipate the MRR of the AWJM process is recommended.

Dimensions

Published

2024-05-30

How to Cite

Fathi Alfazani, Abdelaziz Badi, & Omar Al Denali. (2024). Fuzzy Logic Technique and Response Surface Methodology to Predict the Material removal rate of Abrasive Water Jet Process (AWJM) Parameters on Inconel – 188. African Journal of Advanced Pure and Applied Sciences (AJAPAS), 315–325. Retrieved from https://aaasjournals.com/index.php/ajapas/article/view/799