NDLI: 3D-FEM Approach of AISI-52100 Hard Turning: Modelling of Cutting Forces and Cutting Condition Optimization

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3D-FEM Approach of AISI-52100 Hard Turning: Modelling of Cutting Forces and Cutting Condition Optimization

Content Provider	MDPI
Author	Tzotzis, Anastasios Tapoglou, Nikolaos Verma, Rajesh Kumar Kyratsis, Panagiotis
Copyright Year	2022
Description	In the present study, a 3D finite element (FE) model for machining AISI-52100 steel was proposed, with respect to three levels of cutting speed (100 m/min, 150 m/min and 200 m/min), feed (0.08 mm/rev, 0.11 mm/rev and 0.14 mm/rev), depth of cut (0.20 mm, 0.30 mm and 0.40 mm) and tool nose radius (0.80 mm, 1.20 mm and 1.60 mm). Nine simulation tests were performed according to cutting conditions that were used in experimental studies, in order to verify the accuracy of the model. Next, the FE model was utilized to carry out thirty new simulation runs, with cutting conditions derived from the implementation of the central composite design (CCD). Additionally, a mathematical model was established for prediction purposes, whereas the relationship between the applied cutting parameters and their influence on the resultant cutting force was investigated with the aid of statistical methodologies such as the response surface methodology (RSM) and the analysis of variance (ANOVA). The comparison between the numerical and the statistical model revealed an increased level of correlation, superseding 90% in many tests. Specifically, the relative error varied between −7.9% and 11.3%. Lastly, an optimization process was performed to find the optimal cutting conditions for minimizing the resultant machining force, as per the standardized tool nose radius value.
Starting Page	74
e-ISSN	20751702
DOI	10.3390/machines10020074
Journal	Machines
Issue Number	2
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2022-01-20
Access Restriction	Open
Subject Keyword	Machines Manufacturing Engineering Aisi-52100 Turning Machining Forces 3d Fem Deform-3d Cutting Parameters Optimization Ccd
Content Type	Text
Resource Type	Article

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