This work investigated and predicted the fatigue life durability of Austenitic Stainless Steel 316L at room temperature due to its importance in plant industries worldwide. Modelling and simulations were performed to clarify the fracture as well as stress distribution using integrated mechanism. | Nội dung Text Experimental investigation and numerical prediction for the fatigue life durability of austenitic stainless steel at room temperature Engineering Solid Mechanics 7 2019 121-130 Contents lists available at GrowingScience Engineering Solid Mechanics homepage esm Experimental investigation and numerical prediction for the fatigue life durability of austenitic stainless steel at room temperature M. A. Khairula S. M. Sapuana Faris M. AL-Oqlab and E. S. Zainudinc a Mechanical Engineering Section Universiti Kuala Lumpur Malaysia France Institute Section 14 Jalan Teras Jernang 43650 Bandar Baru Bangi Selangor Malaysia b Department of Mechanical Engineering The Hashemite University Zarqa 13133 Jordan c Institute of Tropical Forestry and Forest Products INTROP Putra Universiti 43400 UPM Serdang Selangor Malaysia A R T I C L EI N F O ABSTRACT Article history This work investigated and predicted the fatigue life durability of Austenitic Stainless Steel 316L Received 26 December 2018 at room temperature due to its importance in plant industries worldwide. Modelling and Accepted 26 February 2019 simulations were performed to clarify the fracture as well as stress distribution using integrated Available online mechanism. Experimental fatigue validations were also carried out to demonstrate the effect of 11 April 2019 Keywords various fatigue life parameters. Various loading conditions with variable load amplitudes were Fatigue life validated utilizing a frequency of 5 Hz and a stress ratio of . The accuracy of the simulation Composites results were also verified based on the experimental data. High consistencies between the predicted Stainless steel fatigue life and the experimental results were achieved which increases the validity of the built Modelling model. Prediction 2019 Growing Science Ltd. All rights reserved. 1. Introduction Due to the tremendous need for engineers to properly select and use the most appropriate function as well
