Perspectives on Additive Manufacturing Enabled Beta- Titanium Alloys for Biomedical Applications

Swee Leong Sing

Article ID: 478
Vol 8, Issue 1, 2022, Article identifier:478

VIEWS - 1492 (Abstract) 294 (PDF)

Abstract


“Stress shielding” caused by the mismatch of modulus between the implant and natural bones, is one of the major problems faced by current commercially used biomedical materials. Beta-titanium (β-Ti) alloys are a class of materials that have received increased interest in the biomedical field due to their relatively low elastic modulus and excellent biocompatibility. Due to their lower modulus, β-Ti alloys have the potential to reduce “stress shielding.” Powder bed fusion (PBF), a category of additive manufacturing, or more commonly known as 3D printing techniques, has been used to process β-Ti alloys. In this perspective article, the emerging research of PBF of β-Ti alloys is covered. The potential and limitations of using PBF for these materials in biomedical applications are also elucidated with focus on the perspectives from processes, materials, and designs. Finally, future trends and potential research topics are highlighted.


Keywords


Additive manufacturing; 3D printing; Powder bed fusion; Selective laser melting; Titanium

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References


Liu ZH, Zhang DQ, Chua CK, et al., 2013. Crystal Structure Analysis of M2 High Speed Steel Parts Produced by Selective Laser Melting. Mater Characterization, 84:72–80. https://doi.org/10.1016/j.matchar.2013.07.010

Sing SL, Yeong WY, Wiria FE, et al., 2016. Characterization of Titanium Lattice Structures Fabricated by Selective Laser Melting Using an Adapted Compressive Test Method. Exp Mech, 56:735–48. https://doi.org/10.1007/s11340-015-0117-y

Herzog D, Seyda V, Wycisk E, et al., 2016. Additive Manufacturing of Metals. Acta Mater, 117:371–92. https://doi.org/10.1016/j.actamat.2016.07.019

Sing SL, Yeong WY, Wiria FE, et al., 2017. Direct Selective Laser Sintering and Melting of Ceramics: A Review. Rapid Prototyp J, 23:611–23. https://doi.org/10.1108/rpj-11-2015-0178

Yap CY, Chua CK, Dong ZL, et al., 2015. Review of Selective Laser Melting: Materials and Applications. Appl Phys Rev, 2:041101. https://doi.org/10.1063/1.4935926

Bogue R, 2011. Nanocomposites: A Review of Technology and Applications. Assembly Autom, 31:106–12.

Colombo-Pulgarin JC, Biffi CA, Vedani M, et al., 2021. Beta Titanium Alloys Processed By Laser Powder Bed Fusion: A Review. J Mater Eng Perform, 30:6365–88. https://doi.org/10.1007/s11665-021-05800-6

DebRoy T, Wei HL, Zuback JS, et al., 2018. Additive Manufacturing of Metallic Components Process, Structure and Properties. Prog Mater Sci, 92:112–224. https://doi.org/10.1016/j.pmatsci.2017.10.001

Gu DD, Meiners W, Wissenbach K, et al., 2013. Laser Additive Manufacturing of Metallic Components: Materials, Processes and Mechanisms. Int Mater Rev, 57:133–64. https://doi.org/10.1179/1743280411y.0000000014

Olakanmi EO, Cochrane RF, Dalgarno KW, 2015. A Review on Selective Laser Sintering/Melting (SLS/SLM) of Aluminium Alloy Powders: Processing, Microstructure, and Properties. Prog Mater Sci, 74:401–77. https://doi.org/10.1016/j.pmatsci.2015.03.002

Sercombe TB, Li X, 2016. Selective laser melting of aluminium and aluminium metal matrix composites: A review. Mater Technol 2016;31:77-85. https://doi.org/10.1179/1753555715y.0000000078

Li Y, Yang C, Zhao H, et al., 2014. New Developments of Ti-based Alloys for Biomedical Applications. Materials, 7:1709–800. https://doi.org/10.3390/ma7031709

Niinomi M. Recent Metallic Materials for Biomedical Applications. Metallurgical Mater Trans A, 2002;33:477. https://doi.org/10.1007/s11661-002-0109-2

Yang CL, Zhang ZJ, Li SJ, et al., 2018. Simultaneous Improvement in Strength and Plasticity of Ti-24Nb-4Zr-8Sn Manufactured by Selective Laser Melting. Mater Des, 157:52–9. https://doi.org/10.1016/j.matdes.2018.07.036

Kuroda D, Niinomi M, Morinaga M, et al., 1998. Design and Mechanical Properties of New β Type Titanium Alloys for Implant Materials. Mater Sci Eng A, 243:244–9. https://doi.org/10.1016/S0921-5093(97)00808-3

Ummethala R, Karamched PS, Rathinavelu S, et al., 2020. Selective Laser Melting of High-strength, Low-modulus Ti-35Nb-7Zr-5Ta alloy. Materialia, 14:100941. https://doi.org/10.1016/j.mtla.2020.100941

Yadroitsev I, Gusarov AV, Yadroitsava I, et al., 2010. Single Track Formation in Selective Laser Melting of Metal Powders. J Mater Proc Technol, 210:1624–31. https://doi.org/10.1016/j.jmatprotec.2010.05.010

Markl M, Körner C, 2016, Multiscale Modeling of Powder Bed-Based Additive Manufacturing. Ann Rev Mater Res, 46:93–123. https://doi.org/10.1146/annurev-matsci-070115-032158

Aleixo GT, Afonso C, Coelho A, et al., 2008. Effects of Omega Phase on Elastic Modulus of Ti-Nb Alloys as a Function of Composition and Cooling Rate. Solid State Phenomena, 138:393–8. https://doi.org/10.4028/www.scientific.net/SSP.138.393

Mantri SA, Nartu MS, Dasari S, et al., 2021. Suppression and Reactivation of Transformation and Twinning Induced Plasticity in Laser Powder Bed Fusion Additively Manufactured Ti-10V-2Fe-3Al. Addit Manuf, 48:102406.

Sing SL, Huang S, Goh GD, et al., 2021. Emerging Metallic Systems for Additive Manufacturing: In-Situ Alloying and Multi-metal Processing in Laser Powder Bed Fusion. Prog Mater Sci, 119:100795. https://doi.org/10.1016/j.pmatsci.2021.100795

Yu WH, Sing SL, Chua CK, et al., 2019. Particle-Reinforced Metal Matrix Nanocomposites Fabricated by Selective Laser Melting: A State of the Art Review. Prog Mater Sci, 104:330–79. https://doi.org/10.1016/j.pmatsci.2019.04.006

Saedi S, Moghaddam NS, Amerinatanzi A, et al., 2018. On the Effects of Selective Laser Melting Process Parameters on Microstructure and Thermomechanical Response of Ni-rich NiTi. Acta Mater, 144:552–60. https://doi.org/10.1016/j.actamat.2017.10.072

Guzmán J, de Moura Nobre R, Nunes ER, et al., 2021. Laser Powder Bed Fusion Parameters to Produce High-density Ti-53%Nb Alloy Using Irregularly Shaped Powder from Hydridedehydride (HDH) Process. J Mater Res Technol, 10:1372–81. https://doi.org/10.1016/j.jmrt.2020.12.084

Silvestri AT, Foglia S, Borrelli R, et al., 2020. Electron Beam Melting of Ti6Al4V: Role of the Process Parameters under the Same Energy Density. J Manuf Processes, 60:162–79. https://doi.org/10.1016/j.jmapro.2020.10.065

Pobel CR, Osmanlic F, Lodes MA, et al., 2019. Processing Windows for Ti-6Al-4V Fabricated by Selective Electron Beam Melting with Improved Beam Focus and Different Scan Line Spacings. Rapid Prototyp J, 25:665–71. https://doi.org/10.1108/RPJ-04-2018-0084

Sabzi HE, 2019. Powder Bed Fusion Additive Layer Manufacturing of Titanium Alloys. Mater Sci Technol, 35:875–90. https://doi.org/10.1080/02670836.2019.1602974

Sun SH, Hagihara K, Ishimoto T, et al., 2021. Comparison of Microstructure, Crystallographic Texture, and Mechanical Properties in Ti-15Mo-5Zr-3Al Alloys Fabricated Via Electron and Laser Beam Powder Bed Fusion Technologies. Addit Manuf, 47:102329. https://doi.org/10.1016/j.addma.2021.102329

Guzmán J, de Moura Nobre R, Rodrigues Júnior DL, et al., 2021. Comparing Spherical and Irregularly Shaped Powders in Laser Powder Bed Fusion of Nb47Ti Alloy. J Mater Eng Perf, 30:6557–67. https://doi.org/10.1007/s11665-021-05916-9

De Moura Nobre R, Ank de Morais W, Vasques MT, et al., 2021. Role of Laser Powder Bed Fusion Process Parameters in Crystallographic Texture of Additive Manufactured Nb-48Ti Alloy. J Mater Res Technol, 14:484–95. https://doi.org/10.1016/j.jmrt.2021.06.054

Hafeez N, Wei D, Xie L, et al., 2021. Evolution of Microstructural Complex Transitions in Low-modulus β-type Ti-35Nb-2Ta-3Zr Alloy Manufactured by Laser Powder Bed Fusion. Addit Manuf, 48:102376. https://doi.org/10.1016/j.addma.2021.102376

Schwab H, Prashanth K, Löber L, et al., 2015. Selective Laser Melting of Ti-45Nb Alloy. Metals, 5:686–94. https://doi.org/10.3390/met5020686

Schulze C, Weinmann M, Schweigel C, et al., 2018. Mechanical Properties of a Newly Additive Manufactured Implant Material Based on Ti-42Nb. Materials, 11:124. https://doi.org/10.3390/ma11010124

Macias-Sifuentes MA, Xu C, Sanchez-Mata O, et al., 2021. Microstructure and Mechanical Properties of β-21S Ti Alloy Fabricated through Laser Powder Bed Fusion. Prog Addit Manuf, 6:417–30. https://doi.org/10.1007/s40964-021-00181-7

Schwab H, Palm F, Kuhn U, et al., 2016. Microstructure and Mechanical Properties of the Near-beta Titanium Alloy Ti-5553 Processed by Selective Laser Melting. Mater Des, 105:75–80. https://doi.org/10.1016/j.matdes.2016.04.103

Liu YJ, Zhang YS, Zhang LC, 2019. Transformation induced Plasticity and High Strength in Beta Titanium Alloy Manufactured by Selective Laser Melting. Materialia, 6:100299. https://doi.org/10.1016/j.mtla.2019.100299

Zhang LC, Klemm D, Eckert J, et al., 2011. Manufacture by Selective Laser Melting and Mechanical Behavior of a Biomedical Ti-24Nb-4Zr-8Sn Alloy. Script Mater, 65:21–4. https://doi.org/10.1016/j.scriptamat.2011.03.024

Surmeneva M, Grubova I, Glukhova N, et al., 2021. New Ti-35Nb-7Zr-5Ta Alloy Manufacturing by Electron Beam Melting for Medical Application Followed by High Current Pulsed Electron Beam Treatment. Metals, 11:1066. https://doi.org/10.3390/met11071066

Wang Q, Zhang W, Li S, et al., 2021. Material Characterisation and Computational Thermal Modelling of Electron Beam Powder Bed Fusion Additive Manufacturing of Ti2448 Titanium Alloy. Materials, 14:7359. https://doi.org/10.3390/ma14237359

Poozov I, Sufiiarov V, Popovich A, et al., 2018. Synthesis of Ti-5Al, Ti-6Al-7Nb, and Ti-22Al-25Nb Alloys from Elemental Powders Using Powder-bed Fusion Additive Manufacturing. J Alloys Comp, 763:436–45. https://doi.org/10.1016/j.jallcom.2018.05.325

Kang N, Lu Y, Lin X, et al., 2019. Microstructure and Tensile Properties of Ti-Mo Alloys Manufactured via Using Laser Powder Bed Fusion. J Alloys Comp, 771:877–84.

https://doi.org/10.3390/cryst11091064

Wang Q, Han C, Choma T, et al., 2017. Effect of Nb Content on Microstructure, Property and In Vitro Apatite-forming Capability of Ti-Nb Alloys Fabricated via Selective Laser Melting. Mater Des, 126:268–77. https://doi.org/10.1016/j.matdes.2017.04.026

Zhao D, Han C, Li J, et al., 2020. In Situ Fabrication of a Titanium-niobium Alloy with Tailored Microstructures, Enhanced Mechanical Properties and Biocompatibility by Using Selective Laser Melting. Mater Sci Eng C, 2020:110784. https://doi.org/10.1016/j.msec.2020.110784

Surmeneva MA, Koptyug A, Khrapov D, et al., 2020. In Situ Synthesis of a Binary Ti-10at% Nb Alloy by Electron Beam Melting Using a Mixture of Elemental Niobium and Titanium Powders. J Mater Proc Technol, 282:116646. https://doi.org/10.1016/j.jmatprotec.2020.116646

Mosallanejad MH, Niroumand B, Aversa A, et al., 2021. In-Situ Alloying in Laser-based Additive Manufacturing Processes: A Critical Review. J Alloys Comp, 872:159567. https://doi.org/10.1016/j.jallcom.2021.159567

Sing SL, Wiria FE, Yeong WY, 2018. Selective Laser Melting of Lattice Structures: A Statistical Approach to Manufacturability and Mechanical Behavior. Robot Comput Integr Manuf, 49:170–80. https://doi.org/10.1016/j.rcim.2017.06.006

Sing SL, Wiria FE, Yeong WY, 2018. Selective Laser Melting of Titanium Alloy with 50 wt% Tantalum: Effect of Laser Process Parameters on Part Quality. Int J Refract Metals Hard Mater, 77:120–7. https://doi.org/10.1016/j.ijrmhm.2018.08.006

Yang Y, Wang G, Liang H, et al., 2019. Additive Manufacturing of Bone Scaffolds. Int J Bioprint, 5:148. https://doi.org/10.18063/IJB.v5i1.148

Hafeez N, Liu J, Wang L, et al., 2020. Superelastic Response of Low-modulus Porous Beta-type Ti-35Nb-2Ta-3Zr Alloy Fabricated by Laser Powder Bed Fusion. Addit Manuf, 34:101264. https://doi.org/10.1016/j.addma.2020.101264

Liu YJ, Li SJ, Wang HL, et al., 2016. Microstructure, Defects and Mechanical Behavior of Beta-type Titanium Porous Structures Manufactured by Electron Beam Melting and Selective Laser Melting. Acta Mater, 113:56–67. https://doi.org/10.1016/j.actamat.2016.04.029

Liu YJ, Li SJ, Zhang LC, et al., 2018. Early Plastic Deformation Behaviour and Energy Absorption in Porous β-type Biomedical Titanium Produced by Selective Laser Melting. Script Mater, 153:99–103. https://doi.org/10.1016/j.scriptamat.2018.05.010

Li Y, Ding Y, Munir K, et al., 2019. Novel β-Ti35Zr28Nb Alloy Scaffolds Manufactured Using Selective Laser Melting for Bone Implant Applications. Acta Biomater, 87:273–84. https://doi.org/10.1016/j.actbio.2019.01.051

Liu YJ, Zhang JS, Liu XC, et al., 2021. Non-layer-wise Fracture and Deformation Mechanism in Beta Titanium Cubic Lattice Structure Manufactured by Selective Laser Melting. Mater Sci Eng A, 822:141696. https://doi.org/10.1016/j.msea.2021.141696

Qiu C, Liu Q, Ding R, 2021. Significant Enhancement in Yield Strength for a Metastable Beta Titanium Alloy by Selective Laser Melting. Mater Sci Eng A, 816:141291. https://doi.org/10.1016/j.msea.2021.141291

Liu YJ, Wang HL, Li SJ, et al., 2017. Compressive and Fatigue Behavior of Beta-type Titanium Porous Structures Fabricated by Electron Beam Melting. Acta Mater, 126:58–66. https://doi.org/10.1016/j.actamat.2016.12.052

Goh GD, Sing SL, Yeong WY, 2020. A Review on Machine Learning in 3D Printing: Applications, Potential, and Challenges. Artif Intell Rev, 54:63–94. https://doi.org/10.1007/s10462-020-09876-9

Özel T, Altay A, Kaftanoğlu B, et al., 2020. Focus Variation Measurement and Prediction of Surface Texture Parameters Using Machine Learning in Laser Powder Bed Fusion. J Manuf Sci Eng, 12:011008. https://doi.org/10.1115/1.4045415

Kwon O, Kim HG, Ham MJ, et al., 2020. A Deep Neural Network for Classification of Melt-pool Images in Metal Additive Manufacturing. J Intell Manuf, 31:375–86. https://doi.org/10.1007/s10845-018-1451-6

Kunkel MH, Gebhardt A, Mpofu K, et al., 2019. Quality Assurance in Metal Powder Bed Fusion Via Deep-learning-Based Image Classification. Rapid Prototyp J, 26:259–66. https://doi.org/10.1108/RPJ-03-2019-0066

Shin DS, Lee CH, Kuhn U, et al., 2021. Optimizing Laser Powder Bed Fusion of Ti-5Al-5V-5Mo-3Cr by Artificial Intelligence. J Alloys Comp, 862:158018. https://doi.org/10.1016/j.jallcom.2020.158018

Meng L, McWilliams B, Jarosinski W, et al., 2020. Machine Learning in Additive Manufacturing: A Review. JOM, 72:2363–77. https://doi.org/10.1007/s11837-020-04155-y

Qi X, Chen G, Li Y, et al., 2019. Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives. Engineering. 5:721–9. https://doi.org/10.1016/j.eng.2019.04.012

Sing SL, Kuo CN, Shih CT, et al., 2021. Perspectives of Using Machine Learning in Laser Powder Bed Fusion for Metal Additive Manufacturing. Virtual Phys Prototyp, 2021;16:372–86. https://doi.org/10.1080/17452759.2021.1944229

Rudolph JP, Emmelmann C, 2018. Self-learning Calculation for Selective Laser Melting. Proc CIRP, 67:185–90. https://doi.org/10.1016/j.procir.2017.12.197

Renken V, Albinger S, Goch G, et al., 2017. Development of an Adaptive, Self-learning Control Concept for an Additive Manufacturing Process. CIRP J Manuf Sci Technol, 19:57–61. https://doi.org/10.1016/j.cirpj.2017.05.002

Baturynska I, Semeniuta O, Martinsen K, 2018. Optimization of Process Parameters for Powder Bed Fusion Additive Manufacturing by Combination of Machine Learning and Finite Element Method: A Conceptual Framework. Proc CIRP, 67:227–32. https://doi.org/10.1016/j.procir.2017.12.204




DOI: http://dx.doi.org/10.18063/ijb.v8i1.478

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