Open AccessDesirability Function Analysis (DFA) in Multiple Responses Optimization of Abrasive Water Jet Cutting Process
Author(s) -
Andrzej Perec
Publication year - 2022
Publication title -
reports in mechanical engineering
Language(s) - English
Resource type - Journals
ISSN - 2683-5894
DOI - 10.31181/rme200103011p
Subject(s) - abrasive , taguchi methods , traverse , machining , surface roughness , process variable , orthogonal array , design of experiments , surface finish , mechanical engineering , materials science , process (computing) , mathematics , computer science , engineering , composite material , statistics , geology , geodesy , operating system
This paper introduces optimization of machining parameters for high-pressure abrasive water jet cutting of Hardox 500 steel utilizing desirability function analysis (DFA). The tests were carried out according to the orthogonal matrix (Taguchi) L9. The control parameters of the process such as pressure, abrasive flow rate, and traverse speed was optimized under multi-response conditions namely cutting depth and surface roughness. The optimal set of control parameters was established on the basis of the composite desirability value obtained from desirability function analysis and the significance of these parameters was determined by analysis of variance (ANOVA). The effects show that optimal sets for high cutting depth and small surface roughness is high pressure, middle abrasive flow rate, and small traverse speed. A confirmation test was also leaded to validate the test results. Results of the research have shown that machining efficiency at keeping good level quality of cut surface can be improved this approach.