Residual Stresses Modelling of End Milling Process Using Numerical and Experimental Methods

Author:

Prakash Marimuthu K.1,Chethan Kumar C.S.2,Thirtha Prasada H.P.3

Affiliation:

1. Amrita School of Engineering

2. Visvesvaraya Technological University

3. M S Ramaiah Institute of Technology

Abstract

Machining has been one of the most sort of process for realizing different products. It has significant role in the value additions process. Machining is one of the production process where material is removed from the parent material to realize the final part or component. Among machining, the well known machining processes are turning, milling, shaping, grinding and non-conventional machining processes like electric discharge machining, ultrasonic machining, chemical machining etc. The fundamental of all these processes being material removal in the form of chips using a tool either in contact or not in contact. In the present work, milling is being taken for study Finite element analysis is being used as a tool to understand the different phenomenon that underlies the machining processes. Of late, the machining induced residual stresses is of great interest to the researchers since the residual stresses have an impact on the functional performances. The present work is to model the milling process to predict the forces and residual stresses using finite element method. Unlike many researchers, the authors have attempted to develop oblique cutting model rather than an orthogonal cutting model. The present work was carried out on AISI 1045 steel.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Investigation of Residual Stresses Induced by Milling of Compacted Graphite Iron by x-ray Diffraction Technique;Journal of Materials Engineering and Performance;2023-11-06

2. Residual stress generation and evaluation in milling: a review;The International Journal of Advanced Manufacturing Technology;2023-04-13

3. CNC machine tool monitoring using artificial intelligence a review;INTELLIGENT BIOTECHNOLOGIES OF NATURAL AND SYNTHETIC BIOLOGICALLY ACTIVE SUBSTANCES: XIV Narochanskie Readings;2023

4. Milling of D3 tool steel to optimize machining parameters and develop a mathematical model to achieve minimum surface roughness;2ND INTERNATIONAL CONFERENCE & EXPOSITION ON MECHANICAL, MATERIAL, AND MANUFACTURING TECHNOLOGY (ICE3MT 2022);2023

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