High-resolution inherent strain method using actual layer thickness in laser powder bed fusion additive manufacturing with experimental validations

Zhi Dong Zhang, Osezua Ibhadode, Shahriar Imani Shahabad, Xing Yue Zhai, Dao Yuan Yu, Tong Gao, Ji Hong Zhu, Wei Hong Zhang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Laser powder bed fusion (LPBF) additive manufacturing (AM) broadens the horizons of design in academia and industry. However, LPBF contends with challenges like residual stresses and distortions due to uneven heating and cooling, leading to substantial resource wastage. Accurately predicting residual stresses and distortions remains a hurdle, primarily due to the need for high-resolution modeling. In this study, a high-resolution model of the inherent strain method (ISM) with actual layer thickness for a cantilever geometry in LPBF is proposed for the first time. Experimental and numerical findings indicate that as the number of layers increases, distortions tend to decrease, while the residual stresses on the top surface consistently remain constant and close to the material's yield stress. The model achieves good agreement (error of 7.1%) for deformation, while the prediction error of residual stresses is reduced from 69% to 32% compared to a traditional ISM model.

Original languageEnglish
Pages (from-to)6576-6595
Number of pages20
JournalJournal of Materials Research and Technology
Volume30
DOIs
StatePublished - 1 May 2024

Keywords

  • Additive manufacturing
  • High resolution
  • Inherent strain method
  • Laser powder bed fusion
  • Layer thickness
  • Parallel computing

Fingerprint

Dive into the research topics of 'High-resolution inherent strain method using actual layer thickness in laser powder bed fusion additive manufacturing with experimental validations'. Together they form a unique fingerprint.

Cite this