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Prediction of material removal rate in turning using Response Surface Method
Author(s) -
I. Stănăşel,
Florin Blaga,
T. Buidoş,
Flaviu Corb
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/898/1/012011
Subject(s) - response surface methodology , machining , process (computing) , variance (accounting) , regression analysis , process engineering , quality (philosophy) , design of experiments , computer science , manufacturing engineering , engineering , mechanical engineering , statistics , mathematics , business , operating system , philosophy , accounting , epistemology
Obtaining quality products at low costs is the main objective of any company. As a result, the efficiency of the production processes is sought by identifying a favorable combination of all the factors that influence the respective process. With regard to metal cutting, the Material Removal Rate (MRR) is an important factor affecting machining time.The paper makes a study to highlight the influence of cutting parameters on material removal rate using Response Surface Method (RSM). Using analysis of variance (ANOVA), you may identify the significant factors of the process and determine a second-order regression model that takes into account both main effects but also and the interactions between factors. It also presents the possibility of optimization of cutting parameters for streamlining the turning process.

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