Open AccessTaguchi-grey-fuzzy method for optimization of turning process parameters with environmentally friendly cooling
Author(s) -
Dian Ridlo Pamuji,
Nuraini Lusi
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1034/1/012107
Subject(s) - taguchi methods , surface roughness , machining , mechanical engineering , process (computing) , fuzzy logic , surface finish , coolant , rotational speed , materials science , process variable , process engineering , engineering , computer science , composite material , artificial intelligence , operating system
Surface roughness is an indicator of the quality of workpieces produced by machining processes. Whereas, the indicator of the productivity of the machining process is the metal removal rate. Surface roughness and metal removal rate have different characteristics. Setting the combination of turning parameters results is essential to get optimal responses. This research has been carried out of determining the parameters of the turning process to produce an optimal response with the use of environmentally friendly coolant. The turning process parameters that are varied are the cutting fluids, spindle rotation, feeding motion, and cutting depth while the tool used is the CNMG insert tool. The optimization method used is Taguchi, combined with grey and fuzzy logic. The results showed that to obtain the optimum arithmetic surface roughness, average total surface roughness and metal removal rate, the cutting fluids is set at level 1, which is soluble cold water + air pressure, level 3 spindle rotation with a value of 1200 rpm, level 3 feeding with an amount of 0.161 mm rev −1 , and cutting depth level 3 of 0.5 mm.