What question did this study set out to answer?

The aim is to explore and evaluate computational models for predicting residual stress and distortion in powder bed fusion processes.

Computational modelling progress of residual stress and distortion prediction in powder bed fusion: State-of-the-art review

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This review examines numerical models predicting residual stress in additive manufacturing, suggesting mitigation strategies for improved accuracy.

The aim is to explore and evaluate computational models for predicting residual stress and distortion in powder bed fusion processes.
Reviewed state-of-the-art numerical models for residual stress prediction.
Examined experimental techniques for validating numerical approaches.
Discussed the integration of machine learning with numerical models.
Identified key principles of various numerical models for effective residual stress prediction.
Highlighted challenges and inaccuracies in current models affecting dimensional accuracy.
Proposed potential novel computational strategies to mitigate residual stress issues.

Abdelmoula et al. (2026) studied this question.

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This review examines numerical models predicting residual stress in additive manufacturing, suggesting mitigation strategies for improved accuracy.