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Force, stress prediction in drilling of AISI 1045 steel using finite element modelling

Publication Type : Conference Paper

Publisher : IOP Conference Series: Materials Science and Engineering

Source : IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing, Volume 225 (2017)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031314701&doi=10.1088%2f1757-899X%2f225%2f1%2f012030&partnerID=40&md5=295c53af8d72b09543c4a90b182c8025

Keywords : Computer software, Drilling process, Finite element method, Finite element modelling, Finite element simulations, Machining, Machining centers, Machining Process, Machining simulation, Numerical models, Orthogonal machining, Stress prediction, Underlying principles

Campus : Bengaluru

School : School of Engineering

Department : Mechanical Engineering

Year : 2017

Abstract : Machining simulation is a primary research area all around the world. Many researchers are attempting to understand the underlying principles of machining. Earlier research has started with orthogonal machining then slowing is now progressing into oblique machining. Even though extensive research has been carried out in the field of machining and its allied areas, still the process of understanding the nuances of the machining processes is underway. The research is happening on the theoretical and experimental front. Numerical simulation has helped the researchers in understanding the machining processes within a quick duration and it is to a certain extent reliable. Here the authors of the work have tried to outline the procedure and the method involved in Finite element simulation of the machining processes. In the present work, commercially available software is used for numerical simulation purposes. The machining purposes considered for the research work is drilling process.

Cite this Research Publication : Prakash Marimuthu K., Prasada, H. P. Thirtha, and Kumar, C. S. Chethan, “Force, stress prediction in drilling of AISI 1045 steel using finite element modelling”, IOP Conference Series: Materials Science and Engineering, vol. 225. Institute of Physics Publishing, 2017.

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