Open AccessAPPLICATION OF GENETIC ALGORITHM IN OPTIMIZING THE WATER JET MACHINING PARAMETERS TO IMPROVE THE QUALITY OF THE SURFACE FINISH
Author(s) -
S.Saravana Kumar,
K. Mujiburrahman,
A.Logesh Arunkumar,
Durgesh Kumar
Publication year - 2019
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2019.v04i01.021
Subject(s) - machining , water jet , quality (philosophy) , genetic algorithm , jet (fluid) , surface roughness , surface (topology) , mechanical engineering , surface finish , computer science , materials science , engineering drawing , engineering , mathematics , composite material , machine learning , geometry , physics , aerospace engineering , quantum mechanics , nozzle
This work is carried out to examine the effects of three different controllable parameters like speed (S), pressure (P) and feed rate (F) cutting conditions which influencing the surface roughness value. From the previous studies, the application of GA optimization technique is not yet considered by researchers to find the optimum parameter for improving the quality of the surface finish in water jet machining. Therefore this work attempt to find the optimum solution for water jet machining parameters by using GA. The regression model is developed by conducting experiments for 27 samples as per Design of Experiment. With the help of JMP software full factorial design is selected for this experiment. The surface roughness value (Ra) is measured by using surftronic measuring instruments for the 27 samples and noted. With the application of GA and regression model, the optimum parameters for minimizing surface roughness value is done and compared with the experimental result. Keywords— Water Jet Machining, Process parameter optimization, Genetic Algorithm