Influences of MMR,PWHT and notch location on fatigue life of HSLA steel welds |
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| Affiliation: | 1. Department of Manufacturing Engineering, Annamalai University, Annamalainagar, 608 002, Tamil Nadu, India;2. Centre of Excellence for Advanced Materials, University of California at San Diego, La Jolla, CA92093-0416, USA;1. Shanghai Jiao Tong University, Shanghai, 200240, China;2. Imperial College London, London, SW7 2AZ, UK;1. State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China;2. School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China;3. Key Laboratory of Vehicle Advanced Manufacturing, Measuring and Control Technology (Beijing Jiaotong University), Ministry of Education, Beijing 100044, China;4. Beijing Key Laboratory of Aeronautical Materials Testing and Evaluation, Beijing Institute of Aeronautical Materials, Beijing 100095, China;1. China Institute of Atomic Energy, Beijing, China;2. State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing, China;3. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), Richard Birkelands vei 2b, 7491 Trondheim, Norway |
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| Abstract: | Welding of High Strength Low Alloy Steels (HSLA) involves usage of lower, more even and higher strength filler materials (electrodes) than the parent material depending on the application of the welded structures and the availability of the filler material. In this investigation an attempt has been made to study the influences of mis-match ratio (MMR), Post Weld Heat Treatment (PWHT) and notch location on fatigue life of HSLA steel welds. A Shielded Metal Arc Welding (SMAW) process has been used to fabricate the butt joints. A Centre Cracked Tension (CCT) specimen has been used to evaluate the fatigue life of welded joints. Fatigue experiments have been conducted using a servo hydraulic controlled fatigue testing machine at constant amplitude loading (R=0). The Design of Experiments (full factorial design) concept has been used to optimise the number of experimental conditions. Analysis of Variance (ANOVA) method has been used to identify the significance of main and interaction effects. A mathematical model has been developed to predict the fatigue life of HSLA steel welds using Regression analysis. |
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