Literature DB >> 35547343

Parameter Optimization for Printing Ti6Al4V-Alloy Patient-Customized Orthopaedic Implants by Laser Powder Bed Fusion Using Physio-mechanical Properties and Biological Evaluations.

Bhanupratap Gaur1, Rupesh Ghyar1, Ravi Bhallamudi1.   

Abstract

Background: A class of additive manufacturing technologies called Laser powder bed fusion (LPBF), which allows fabricating metallic components with complex geometries in near-net-shape, can be employed for fabricating patient-customized orthopaedic implants. Selection and optimization of the LPBF process parameters are critical to achieving the required biomechanical properties and fabricability of such implants.
Methods: The process parameters of direct metal laser sintering, the most widely used LPBF process, were optimized for fabricating Ti6Al4V ELI orthopaedic implants, based on ASTM and ASM standards. The parameters included Laser power, Laser velocity and hatch distance, which were varied using Taguchi approach. A multi-criteria decision-making technique (TOPSIS) was employed to optimize the process parameters considering yield and ultimate tensile strength, percentage elongation, part density, volumetric energy density and printing time. In-vitro cytotoxicity and in-vivo muscle implantation were performed on the optimized samples for determining the suitability of the parameters for biomedical applications.
Results: A combination of medium laser power, higher laser velocity, and lower hatch distance with values 200 W, 2200 mm/s and 0.08 mm, respectively, was found to be suitable for producing implants. Based on the type of LPBF technology in use, an implant manufacturer can select the initial set of parameters using a similar approach and improve them further based on experimental results.
Conclusion: The optimized parameters were found to be suitable for developing orthopaedic implants, in terms of physical, mechanical and biological criteria. The methods and results presented in work are expected to assist the implant manufacturers in meeting the expected user requirements and quality standards. © Indian Orthopaedics Association 2021.

Entities:  

Keywords:  Additive manufacturing; Direct metal laser sintering; Laser powder bed fusion; Patient-customized orthopaedic implants; Process parameter optimization

Year:  2021        PMID: 35547343      PMCID: PMC9043156          DOI: 10.1007/s43465-021-00577-1

Source DB:  PubMed          Journal:  Indian J Orthop        ISSN: 0019-5413            Impact factor:   1.033


  6 in total

Review 1.  Rational design, bio-functionalization and biological performance of hybrid additive manufactured titanium implants for orthopaedic applications: A review.

Authors:  Jun Li; Xiaolin Cui; Gary J Hooper; Khoon S Lim; Tim B F Woodfield
Journal:  J Mech Behav Biomed Mater       Date:  2020-02-06

Review 2.  Biocompatibility of Advanced Manufactured Titanium Implants-A Review.

Authors:  Alfred T Sidambe
Journal:  Materials (Basel)       Date:  2014-12-19       Impact factor: 3.623

3.  Effect of Hatch Spacing on Melt Pool and As-built Quality During Selective Laser Melting of Stainless Steel: Modeling and Experimental Approaches.

Authors:  Zhichao Dong; Yabo Liu; Weibin Wen; Jingran Ge; Jun Liang
Journal:  Materials (Basel)       Date:  2018-12-24       Impact factor: 3.623

4.  Understanding the effects of PBF process parameter interplay on Ti-6Al-4V surface properties.

Authors:  Trina Majumdar; Tiphaine Bazin; Emily Massahud Carvalho Ribeiro; Jessica Ellen Frith; Nick Birbilis
Journal:  PLoS One       Date:  2019-08-29       Impact factor: 3.240

5.  Selective Laser Melting of Patient Individualized Osteosynthesis Plates-Digital to Physical Process Chain.

Authors:  André Edelmann; Monique Dubis; Ralf Hellmann
Journal:  Materials (Basel)       Date:  2020-12-18       Impact factor: 3.623

6.  Effects of Energy Parameters on Dimensional Accuracy When Joining Stainless-Steel Powders with Heterogeneous Metal Substrates.

Authors:  Chunliang Kuo; Yuren Chen; Yupang Nien
Journal:  Materials (Basel)       Date:  2021-01-09       Impact factor: 3.623

  6 in total

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