Open AccessOptimization of Cutting Parameters in Machining Polyoxymethylene Using RSM
Author(s) -
M. Aruna
Publication year - 2020
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/893/1/012005
Subject(s) - machining , polyoxymethylene , response surface methodology , surface roughness , mechanical engineering , central composite design , design of experiments , materials science , computer science , surface finish , process engineering , engineering , composite material , polymer , mathematics , machine learning , statistics
Polyoxymcthylene (POM) is an extensively used engineering thermoplastic polymer. Owing to its superior properties and potential applications in numerous turfs of structural machineries, it is essential to probe the machining of POM. The economy of machining operations plays an imperative role in increasing productivity and effectiveness. The persistence of optimal cutting parameters, such as cutting speed, feed and depth of cut, which are valid for given cutting tools, is one of the dynamic segments in process planning of metal parts. This research work concerns an experimental study dealing with cutting parameters and its effects on surface roughness (Ra) and material removal rate (MRR) during the turning of POM. The approach is based on Response Surface Technology (RSM). Experiments are designed using central composite design and second-order quadratic models are developed to define the optimal machining parameters. These optimized parameters are validated experimentally.