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<p>A novel approach named dynamic inherent strain (DIS) method is proposed for predicting residual stresses and deformations in metal additive manufacturing (MAM) parts. The DIS is derived from the dynamic stress–strain evolution during MAM. Two kinds of thin-walled structures manufactured by wire arc additive manufacturing and one bridge structure fabricated by selective laser melting using various scanning strategies are employed to validate the accuracy of the DIS model. The predicted distributions of stresses, and distortions with various scanning strategies are compared with corresponding experimental measurements. The comparisons indicate that considerable accuracy can be achieved by the DIS model, and compared to the modified inherent strain (MIS) model reported in literature, the DIS model achieves similar accuracy while requiring only half the time for the extraction of inherent strain. Moreover, the results indicate that the DIS model can be used for the rapid selection of the optimal scanning strategies.</p>

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A novel inherent strain method for predicting residual stresses and deformations in metal additive manufacturing

  • 期刊论文

  • 发表日期：

    2025年4月17日

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  • Haofeng Lin,
  • Chen Chen,
  • Peng Dong,
  • Quan Li,
  • Yabin Yang

摘要

A novel approach named dynamic inherent strain (DIS) method is proposed for predicting residual stresses and deformations in metal additive manufacturing (MAM) parts. The DIS is derived from the dynamic stress–strain evolution during MAM. Two kinds of thin-walled structures manufactured by wire arc additive manufacturing and one bridge structure fabricated by selective laser melting using various scanning strategies are employed to validate the accuracy of the DIS model. The predicted distributions of stresses, and distortions with various scanning strategies are compared with corresponding experimental measurements. The comparisons indicate that considerable accuracy can be achieved by the DIS model, and compared to the modified inherent strain (MIS) model reported in literature, the DIS model achieves similar accuracy while requiring only half the time for the extraction of inherent strain. Moreover, the results indicate that the DIS model can be used for the rapid selection of the optimal scanning strategies.