Effect of Speed, Feed and Depth of Cut on Machining Induced Residual Stresses in Aisi 1045 Steel
Padma Ooha D N V1, Prakash Marimuthu K2, Thenarasu M3
1Padma Ooha D N V, Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India.
2Prakash Marimuthu K, Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India.
3Thenarasu M, Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
Manuscript received on 03 March 2019 | Revised Manuscript received on 09 March 2019 | Manuscript published on 30 July 2019 | PP: 3397-3400 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1262058119/19©BEIESP | DOI: 10.35940/ijrte.A1262.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Residual stress that are induced during machining of components plays a significant part in the endurance and life of the component. The magnitude and nature of the residual stresses have been of interest to many researchers across the globe. The present work involves methodology to find out the influence of factors on the residual stresses. The machining parameters were varied and the residual stresses were determined using non-destructive method, namely X-ray diffraction. Using statistical methods, the influence of the machining parameters was ascertained. This paper aims at investigating the residual stresses in AISI 1045 steel, induced due to milling. AISI 1045 steel was considered as it is a widely used material and its applications are innumerable. It was observed that speed and feed have significant influence on stresses left behind after the machining is completed. Using statistical techniques a mathematical model was developed which is further used to predict the residual stresses. The error percentage of the predicted values was less than 5%. The results obtained were promising and future work involves the optimization of the machining parameters.
Keywords: Machining Parameters, Mathematical Modelling, Residual Stresses, X-ray Diffraction.
Scope of the Article: Applied Mathematics and Mechanics