Enhancing fatigue life of SS316L via shot peening and machine learning
Hari Krishna Chirala, Chandan Mondal, U. Chandrasekhar, Vijay Ravula
Lahore College for Women University Shriram Institute for Industrial Research Defence Metallurgical Research Laboratory Central Tobacco Research Institute
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摘要与影响
This study presents a method to improve the fatigue life of SS316L samples fabricated by Laser Powder Bed Fusion (LPBF). Shot peening applied after heat treatment at 900°C for 1 h enhanced fatigue life to 3,829,354 cycles. A key innovation of this work is the investigation of shot peening coverage (C), which reached up to 68%—a critical factor in improving fatigue performance. To understand the role of partial residual stress relief, the same optimized shot peening parameters were applied to as-built samples and those heat-treated at a lower temperature of 600°C. This enabled the evaluation of how residual stress states affect fatigue behavior. Using material condition, peening depth, C, and peening duration as input features, machine learning models (Random Forest and XGBoost) achieved over 90% accuracy, offering a predictive framework for optimizing fatigue life in additively manufactured metals.
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学科主题
工程Surface Treatment and Residual Stress
Additive Manufacturing Materials and Processes · Fatigue and fracture mechanics
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