Abstract: Erosion wear is a serious problem for slurry transportation and slurry handling equipment’s. It plays an important role in design and operational conditions of slurry transportation system. This paper shows the experimental investigation of weight loss in copper material due to solid-liquid (slurry) impact by using different operating conditions and the validation of the readings using regression and Adaptive Neuro-Fuzzy Inference system (ANFIS). For the experimental investigation, Jet Erosion pot tester is fabricated by using propeller for uniform distribution. Special arrangement is made for angular movement of test carrying fixture in which it can move from 15° to 90°. Different experiments are carried on copper material for repeatability. For experimental study, different parameters like solid-liquid (slurry) concentration, particle size, variable angles (from15° to 90°) and time variable are used. These experimental repeatability readings are then validated by using Regression analysis and Adaptive Neuro Fuzzy Inference system (ANFIS). During this, it is observed that the erosion wear of copper (Ductile material) is maximum at 30° and also the percentage of accuracy in ANFIS is better than regression analysis.
Keywords: Erosion wear, Slurry containing Pot tester, Slurry flow, Repeatability, Adaptive Neuro-Fuzzy Inference System, Regression.