Chip Morphology of Stainless Steel in Oblique Cutting Process using Finite Element Modeling and Simulation

Finite Element Method (FEM) is a numerical modelling technique that can increase the understanding of characteristic and behavior of the machining process. In order to increase the machining efficiency, the suitable selection of cutting parameter is very important. Simulation can be used to compress...

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Bibliographic Details
Main Authors: Budin, S. (Author), Choon T.W (Author), Ibrahim, D. (Author), Jamir M.R.M (Author), Maharam, L. (Author), Maideen, N.C (Author), Majid M.S.A (Author), Rahman A.A (Author)
Format: Article
Language:English
Published: IOP Publishing Ltd 2019
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Summary:Finite Element Method (FEM) is a numerical modelling technique that can increase the understanding of characteristic and behavior of the machining process. In order to increase the machining efficiency, the suitable selection of cutting parameter is very important. Simulation can be used to compress a time frame and investigate quickly the change of parameter and their effects like in a real situation without producing a physical sample. In addition, simulation study also able to minimize material cost involved due to trial and error manufacturing techniques. Due to many advantages of simulation, this work conducts a study on oblique cutting process. 3D model of turning process of Stainless Steel 316L (workpiece) using tungsten carbide, WC (cutting tool) was developed by FEM software ABAQUS. Three different velocity of cutting tool which are 185,415 and 660 (m/min) was carried out as manipulated variables. Simulation of cutting process was conducted to examine the chip morphology and their stress distribution in the workpiece. Then, chip morphology was compared with previous study and the gap between these two techniques were discussed. From the results obtained, developed model was successfully produced similar chip morphology produced by experiments and able to mimic oblique cutting process. © Published under licence by IOP Publishing Ltd.
ISBN:17578981 (ISSN)
DOI:10.1088/1757-899X/670/1/012018