Abstract

Bones play an integral role in human survival. Damage to the knee joint has prompted orthopaedic specialists to develop implants as one of the solutions. In this study, Ti6Al4V as the implant material was optimised to determine and achieve the optimum implant condition based on the loading applied and the total deformation occurred. The optimisation results showed that the activity of walking downstairs resulted in the highest average of total deformation (19345 mm), followed by walking (15984 mm) and jumping (2.94 mm).

Highlights

  • Data shows that, among other bone joints, the knee is the most commonly injured joint suffered by both adults (55%) and children (40%) [1]

  • It is estimated that by the end of 2030, the number of total hip replacements will increase by 174% (572,000 procedures) and the number total knee arthroplasty surgeries will rise by 673% [2]

  • The key to overcoming the damage to the knee joint is by developing bone implants out of materials that match the characteristics of the human body

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Summary

Introduction

Among other bone joints, the knee is the most commonly injured joint suffered by both adults (55%) and children (40%) [1]. The key to overcoming the damage to the knee joint is by developing bone implants out of materials that match the characteristics of the human body. Most implant materials are derived from biomaterials. Biomaterials play a supporting role in medical applications. The use of biomaterials in medical applications should be meticulously formulated to achieve the most appropriate structure [3]. Ti6Al4V has been extensively used in medical equipment, such as in human bone implants, due to its excellent properties including chemical stability, low Young's modulus, low thermal conductivity and biocompatibility [4]. The ANOVA method was used to optimise the ability of the knee implants made of Ti6Al4V to perform various human activities (walking, walking downstairs and jumping) considering the total deformation.

Implant
Titanium
Finite Element method
Processing and method
Optimisation
Findings
Descriptive analysis
Conclusion

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