Effective Prediction of Residual Stress and Deformation in Titanium Alloy Hip Joints by Laser Powder Bed Fusion

ZHAO Weihong, WANG Bingyu, LI Haoqing

Journal of Netshape Forming Engineering ›› 2025, Vol. 17 ›› Issue (9) : 95-102.

PDF(1662 KB)
PDF(1662 KB)
Journal of Netshape Forming Engineering ›› 2025, Vol. 17 ›› Issue (9) : 95-102. DOI: 10.3969/j.issn.1674-6457.2025.09.009
Light Alloy Forming

Effective Prediction of Residual Stress and Deformation in Titanium Alloy Hip Joints by Laser Powder Bed Fusion

  • ZHAO Weihong1,*, WANG Bingyu1, LI Haoqing2
Author information +
History +

Abstract

The work aims to enhance prediction accuracy and reliability so as to address the inaccuracy in predicting residual stresses and deformations during the manufacture of large-scale and geometrically complex components (such as titanium alloy hip joints) using Laser Powder Bed Fusion (LPBF) technology. In this study, a scheme for establishing a set of laser scanning vectors was proposed, which sequentially activated each vector set in a preset order to more precisely approximate the actual laser scanning process. This method comprehensively considered the impact of laser scanning strategies on residual stresses and deformations, thereby improving prediction accuracy for large-scale components. The simulation scheme considering scanning strategies (employing the laser scanning vector set) exhibited an error below 10%, while the model ignoring scanning strategies had an error as high as 27%. This result suggested that considering scanning strategies by establishing a laser scanning vector set significantly improved the prediction accuracy of residual stresses and deformations in titanium alloy hip joints manufactured by LPBF. The proposed scheme for establishing a laser scanning vector set has achieved notable success in solving the prediction challenges of residual stresses and deformations in large-scale components prepared by LPBF. This method not only enhances prediction accuracy but also provides strong support for the widespread application of LPBF technology in the production of customized metal orthopedic implants.

Key words

laser powder bed fusion / titanium alloy hip joints / residual stress / deformation / thermal-mechanical coupling analysis

Cite this article

Download Citations
ZHAO Weihong, WANG Bingyu, LI Haoqing. Effective Prediction of Residual Stress and Deformation in Titanium Alloy Hip Joints by Laser Powder Bed Fusion[J]. Journal of Netshape Forming Engineering. 2025, 17(9): 95-102 https://doi.org/10.3969/j.issn.1674-6457.2025.09.009

References

[1] KAYA G, YILDIZ F, HACISALIHOĞLU İ. Characterization of the Structural and Tribological Properties of Medical Ti6Al4V Alloy Produced in Different Production Parameters Using Selective Laser Melting[J]. 3D Printing and Additive Manufacturing, 2019, 6(5): 253-261.
[2] 顾冬冬, 张红梅, 陈洪宇, 等. 航空航天高性能金属材料构件激光增材制造[J]. 中国激光, 2020, 47(5): 32-55.
GU D D, ZHANG H M, CHEN H Y, et al.Laser Additive Manufacturing of High-Performance Metallic Aerospace Components[J]. Chinese Journal of Lasers, 2020, 47(5): 32-55.
[3] LI L, YAN L, ZENG C, et al.An Efficient Predictive Modeling for Simulating Part-Scale Residual Stress in Laser Metal Deposition Process[J]. The International Journal of Advanced Manufacturing Technology, 2021, 114(5): 1819-1832.
[4] ROCHUS P, PLESSERIA J Y, VAN ELSEN M, et al.New Applications of Rapid Prototyping and Rapid Manufacturing (RP/RM) Technologies for Space Instrumentation[J]. Acta Astronautica, 2007, 61(1/2/3/4/ 5/6): 352-359.
[5] 王华明, 张述泉, 王韬, 等. 激光增材制造高性能大型钛合金构件凝固晶粒形态及显微组织控制研究进展[J]. 西华大学学报(自然科学版), 2018, 37(4): 9-14.
WANG H M, ZHANG S Q, WANG T, et al.Progress on Solidification Grain Morphology and Microstructure Control of Laser Additively Manufactured Large Titanium Components[J]. Journal of Xihua University (Natural Science Edition), 2018, 37(4): 9-14.
[6] KRUTH J P, DECKERS J, YASA E, et al.Assessing and Comparing Influencing Factors of Residual Stresses in Selective Laser Melting Using a Novel Analysis Method[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2012, 226(6): 980-991.
[7] STOJANOV D, WU X H, FALZON B G, et al.Axisymmetric Structural Optimization Design and Void Control for Selective Laser Melting[J]. Structural and Multidisciplinary Optimization, 2017, 56(5): 1027-1043.
[8] 魏青天, 曾寿金, 叶建华, 等. 基于SLM的髋臼杯多孔结构设计与力学性能分析[J]. 精密成形工程, 2024, 16(4): 120-128.
WEI Q T, ZENG S J, YE J H, et al.Porous Structure Design and Mechanical Properties Analysis of Acetabular Cup Based on SLM[J]. Journal of Netshape Forming Engineering, 2024, 16(4): 120-128.
[9] MERCELIS P, KRUTH J P.Residual Stresses in Selective Laser Sintering and Selective Laser Melting[J]. Rapid Prototyping Journal, 2006, 12(5): 254-265.
[10] DAI K, SHAW L.Thermal and Mechanical Finite Element Modeling of Laser Forming from Metal and Ceramic Powders[J]. Acta Materialia, 2004, 52(1): 69-80.
[11] VILARO T, COLIN C, BARTOUT J D.As-Fabricated and Heat-Treated Microstructures of the Ti-6Al-4V Alloy Processed by Selective Laser Melting[J]. Metallurgical and Materials Transactions A, 2011, 42(10): 3190-3199.
[12] LEE K Y, PIENKOWSKI D.Compressive Creep Characteristics of Extruded Ultrahigh-Molecular-Weight Polyethylene[J]. Journal of Biomedical Materials Research, 1998, 39(2): 261-265.
[13] AGGARANGSI P, BEUTH J L.Localized Preheating Approaches for Reducing Residual Stress in Additive Manufacturing[J]. Proc SFF Symp, 2006, 26: 709-720.
[14] HEIGEL J C, MICHALERIS P, REUTZEL E W.Thermo-Mechanical Model Development and Validation of Directed Energy Deposition Additive Manufacturing of Ti-6Al-4V[J]. Additive Manufacturing, 2015, 5: 9-19.
[15] DENLINGER E R, IRWIN J, MICHALERIS P.Thermomechanical Modeling of Additive Manufacturing Large Parts[J]. Journal of Manufacturing Science and Engineering, 2014, 136(6): 061007.
[16] LI C, LIU J F, FANG X Y, et al.Efficient Predictive Model of Part Distortion and Residual Stress in Selective Laser Melting[J]. Additive Manufacturing, 2017, 17: 157-168.
[17] LI C, FU C H, GUO Y B, et al.A Multiscale Modeling Approach for Fast Prediction of Part Distortion in Selective Laser Melting[J]. Journal of Materials Processing Technology, 2016, 229: 703-712.
[18] PRABHAKAR P, SAMES W J, DEHOFF R, et al.Computational Modeling of Residual Stress Formation during the Electron Beam Melting Process for Inconel 718[J]. Additive Manufacturing, 2015, 7: 83-91.
[19] PAPADAKIS L, LOIZOU A, RISSE J, et al.A Computational Reduction Model for Appraising Structural Effects in Selective Laser Melting Manufacturing: A Methodical Model Reduction Proposed for Time-Efficient Finite Element Analysis of Larger Components in Selective Laser Melting[J]. Virtual and Physical Prototyping, 2014, 9(1): 17-25.
[20] ZAEH M F, BRANNER G.Investigations on Residual Stresses and Deformations in Selective Laser Melting[J]. Production Engineering, 2010, 4(1): 35-45.
[21] LI C, FU C H, GUO Y B, et al.Fast Prediction and Validation of Part Distortion in Selective Laser Melting[J]. Procedia Manufacturing, 2015, 1: 355-365.
[22] ANCA A, FACHINOTTI V D, ESCOBAR-PALAFOX G, et al.Computational Modelling of Shaped Metal Deposition[J]. International Journal for Numerical Methods in Engineering, 2011, 85(1): 84-106.
[23] GOLDAK J, CHAKRAVARTI A, BIBBY M.A New Finite Element Model for Welding Heat Sources[J]. Metallurgical Transactions B, 1984, 15(2): 299-305.
[24] VASTOLA G, ZHANG G, PEI Q X, et al.Modeling the Microstructure Evolution during Additive Manufacturing of Ti6Al4V: A Comparison between Electron Beam Melting and Selective Laser Melting[J]. JOM, 2016, 68(5): 1370-1375.
[25] GONG X B, CHOU K.Phase-Field Modeling of Microstructure Evolution in Electron Beam Additive Manufacturing[J]. JOM, 2015, 67(5): 1176-1182.

Funding

Natural Science Foundation of Shandong Province (ZR2024QE380)
PDF(1662 KB)

Accesses

Citation

Detail

Sections
Recommended

/