Topology optimised metallic bone plates produced by electron beam melting: a mechanical and biological study

Al-Tamimi, Abdulsalam Abdulaziz; Huang, Boyang; Vyas, Cian; Hernández, Máximo; Peach, Ceri; Bartolo, Paulo Jorge Da Silva

doi:10.1007/s00170-019-03866-0

Cited by 24 publications

(17 citation statements)

References 32 publications

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“…In a previous paper, authors used electron beam melting to 3D print topology-optimised fixation plates considering different geometries and volume reductions [9].…”

Section: Introductionmentioning

confidence: 99%

Mechanical, biological and tribological behaviour of fixation plates 3D printed by electron beam and selective laser melting

Al-Tamimi

Hernández

Omar

et al. 2020

Int J Adv Manuf Technol

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Commercially available fixation plates are built using metallic biocompatible materials such as titanium and its alloys and stainless steel. However, these plates show a stiffness mismatch comparing to bone, leading to stress shielding and bone loss. In this paper, we investigate the combined use of topology optimisation and additive manufacturing to print fixation plates with reduced stiffness and improved biological performance. Ti-6Al-4 V plates were topology optimised considering different loading conditions and volume reductions and printed using electron beam melting and selective laser melting. The effect of processing conditions on the mechanical properties, microhardness, wear resistance and surface roughness was analysed. Results show acceptable wear resistance values for a medical device and a reduction of stress shielding by increasing volume reduction. It is also shown that no polishing is required as 3D printed plates are able to support cell attachment and proliferation. In comparison to commercial plates, 3D printed ones show significantly better biological performance. For the same design, SLM plates present higher mechanical properties, while EBM plates present better cell attachment and proliferation.

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“…In a previous paper, authors used electron beam melting to 3D print topology-optimised fixation plates considering different geometries and volume reductions [9].…”

Section: Introductionmentioning

confidence: 99%

Mechanical, biological and tribological behaviour of fixation plates 3D printed by electron beam and selective laser melting

Al-Tamimi

Hernández

Omar

et al. 2020

Int J Adv Manuf Technol

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“…Use of 3DP in bone plate production is still fairly new but definitely an area of value due to the ability to customize bone plates to suit a patient's anatomy exactly, thus preventing plate protrusion that results in surrounding tendon rupture and improving healing outcomes. [ 231 ] However, the use of titanium fixation devices necessitates device removal within 1–2 years of implantation. Hence, The use of biodegradable polymers such as PLA, PLLA, PGA, and PLGA to create fixation devices reduces the need for implant removal and has been popular in recent years.…”

Section: Machine Learning Applications In 3d Printed Implantsmentioning

confidence: 99%

Machine Learning‐Driven Biomaterials Evolution

et al. 2021

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Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to achieve desired biological responses. While there is constant evolution and innovation in materials with time, biomaterials research has been hampered by the relatively long development period required. In recent years, driven by the need to accelerate materials development, the applications of machine learning in materials science has progressed in leaps and bounds. The combination of machine learning with high‐throughput theoretical predictions and high‐throughput experiments (HTE) has shifted the traditional Edisonian (trial and error) paradigm to a data‐driven paradigm. In this review, each type of biomaterial and their key properties and use cases are systematically discussed, followed by how machine learning can be applied in the development and design process. The discussions are classified according to various types of materials used including polymers, metals, ceramics, and nanomaterials, and implants using additive manufacturing. Last, the current gaps and potential of machine learning to further aid biomaterials discovery and application are also discussed.

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“…However, the commonly used materials present significant drawbacks regarding their mechanical properties. Polymers and ceramic materials present poor mechanical properties compared to bone tissue, while metals exhibit strong mechanical properties leading to stress shielding problems [165,166]. Table 5 summarizes some of the inherent problems of the materials generally used in this field.…”

Section: Drug-loaded Scaffoldsmentioning

confidence: 99%

Application of additively manufactured 3D scaffolds for bone cancer treatment: a review

2022

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Bone cancer is a critical health problem on a global scale, and the associated huge clinical and economic burdens are still rising. Although many clinical approaches are currently used for bone cancer treatment, these methods usually affect the normal body functions and thus present significant limitations. Meanwhile, advanced materials and additive manufacturing have opened up promising avenues for the development of new strategies targeting both bone cancer treatment and post-treatment bone regeneration. This paper presents a comprehensive review of bone cancer and its current treatment methods, particularly focusing on a number of advanced strategies such as scaffolds based on advanced functional materials, drug-loaded scaffolds, and scaffolds for photothermal/magnetothermal therapy. Finally, the main research challenges and future perspectives are elaborated.

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Topology optimised metallic bone plates produced by electron beam melting: a mechanical and biological study

Cited by 24 publications

References 32 publications

Mechanical, biological and tribological behaviour of fixation plates 3D printed by electron beam and selective laser melting

Mechanical, biological and tribological behaviour of fixation plates 3D printed by electron beam and selective laser melting

Machine Learning‐Driven Biomaterials Evolution

Application of additively manufactured 3D scaffolds for bone cancer treatment: a review

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