Rotational Wear and Friction of Ti-6Al-4V and CoCrMo against Polyethylene and Polycarbonate Urethane

Barber, Helena; Kelly, Cambre; Abar, Bijan; Allen, Nicholas; Adams, Samuel B.; Gall, Ken

doi:10.1016/j.biotri.2021.100167

Cited by 10 publications

(13 citation statements)

References 45 publications

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“…Concerning the ceramic-ceramic coupling (Si3N4-TiN), it was already investigated by the authors [20], but in this work, it adopted a different prosthesis geometry, and the load and rotation conditions were evaluated by a customizable humanoid model and not from gait cycles coming from literature studies [29] like in the previous work. The wear process was investigated through the implementation of the Archard's law [20,[30][31][32] in the FEM and whose characteristic coefficients have been obtained from literature studies [6,20,[33][34][35]. At the end of the simulations, it was observed that the best wear behavior was demonstrated by the CoCr alloy/UHMWPE coupling, with its volume loss due to wear being 0.004 µm 3 at the end of the sitting cycles.…”

Section: And 30 N) and Five Different Bio-lubricantsmentioning

confidence: 99%

“…The development of human models increased with the necessity to understand the biomechanics of movements and their consequences on human comfort [25][26][27][28]. These models are always used to simulate prosthetic design's influence on the human system [29][30][31][32][33][34]. In recent years, particular importance has been given to modeling the jaw and its interactions with prostheses.…”

Section: Numerical Modelingmentioning

confidence: 99%

“…The materials pairs parameters [6,20,28,29,[33][34][35]65] related to Equation ( 2) are shown in Table 3.…”

Section: Archard's Wear Law Implementationmentioning

confidence: 99%

“…Table 3. Materials pairs parameters for the implementation of the Archard's wear model in the FEM analysis [6,20,28,29,[33][34][35]. In this work, it was also adopted a linear model.…”

Section: Archard's Wear Law Implementationmentioning

confidence: 99%

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A New Approach for the Tribological and Mechanical Characterization of a Hip Prosthesis Trough a Numerical Model Based on Artificial Intelligence Algorithms and Humanoid Multibody Model

et al. 2022

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In recent years, thanks to the development of additive manufacturing techniques, pros-thetic surgery has reached increasingly cutting-edge levels, revolutionizing the clinical course of patients suffering from joint arthritis, rheumatoid arthritis, post-traumatic arthrosis, etc. This work aims to evaluate the best materials for prosthetic surgery in hip implants from a tribological and mechanical point of view by using a machine-learning algorithm coupling with multi-body modeling and Finite Element Method (FEM) simulations. The innovative aspect is represented by the use of machine learning for the creation of a humanoid model in a multibody software environment that aimed to evaluate the load and rotation condition at the hip joint. After the boundary conditions have been defined, a Finite Element (FE) model of the hip implant has been created. The material properties and the information on the tribological behavior of the material couplings under investigation have been obtained from literature studies. The wear process has been investigated through the implementation of the Archard’s wear law in the FE model. The results of the FE simulation show that the best wear behavior has been obtained by CoCr alloy/UHMWPE coupling with a volume loss due to a wear of 0.004 μm3 at the end of the simulation of ten sitting cycles. After the best pairs in terms of wear has been established, a topology optimization of the whole hip implant structure has been performed. The results show that, after the optimization process, it was possible to reduce implant mass making the implant 28.12% more lightweight with respect to the original one.

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Section: And 30 N) and Five Different Bio-lubricantsmentioning

confidence: 99%

Section: Numerical Modelingmentioning

confidence: 99%

“…The materials pairs parameters [6,20,28,29,[33][34][35]65] related to Equation ( 2) are shown in Table 3.…”

Section: Archard's Wear Law Implementationmentioning

confidence: 99%

“…Table 3. Materials pairs parameters for the implementation of the Archard's wear model in the FEM analysis [6,20,28,29,[33][34][35]. In this work, it was also adopted a linear model.…”

Section: Archard's Wear Law Implementationmentioning

confidence: 99%

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A New Approach for the Tribological and Mechanical Characterization of a Hip Prosthesis Trough a Numerical Model Based on Artificial Intelligence Algorithms and Humanoid Multibody Model

et al. 2022

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“…More recently, the case of Ti6Al4V pin printed by selective laser melting has also been considered. 27 However, no in-depth study is available on the wear behavior of the tribo-pair consisting of nanocomposites UHMWPE-based against a Ti6Al4V pin manufactured by EBM. This alloy currently finds various applications in the biomedical field for its good biocompatibility.…”

Section: Introductionmentioning

confidence: 99%

Tribological behavior of biomedical gradeUHMWPEwith graphite‐based fillers againstEBM‐Ti6Al4V pinunder various lubricating conditions

Belhamdi

Kouini

Grasso

et al. 2022

J of Applied Polymer Sci

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In this work, the wear behavior of the mechanical coupling between the biomedical polymer ultrahigh molecular weight polyethylene (UHMWPE) and the titanium-aluminum-vanadium alloy pin (Ti4Al6V) manufactured by electron beam melting (EBM) is investigated. Pure and oxidized graphite fillers is added to the UHMWPE matrix to boost the wear resistance. The tribological test is performed in dry and under the action of various lubricating media (distilled water [DW], simulated synovial fluid [SSF], and natural bovine serum [NBS]) in order to investigate their effects on wearing. The physical-mechanical characterization results show a progressive increase in wear resistance of more than 60% in the nanocomposite (UHMWPE/GO) with the addition of paraffin oil (PO) compared to the UHMWPE and higher under NBS lubricant (more than 80%). The observed wear action is reduced in the order Dry > DW > SSF ≥ NBS, thereby lowering the debris production.

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Surface texture analysis of different focal knee resurfacing implants after 6 and 12 months in vivo in a goat model

Aşık

Damen

Hugten

et al. 2022

Journal Orthopaedic Research

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The clinical success of osteochondral implants depends significantly on their surface properties. In vivo, an implant may roughen over time which can decrease its performance. The present study investigates whether changes in the surface texture of metal and two types of polycarbonate urethane (PCU) focal knee resurfacing implants (FKRIs) occurred after 6 and 12 months of in vivo articulation with native goat cartilage. PCU implants which differed in stem stiffness were compared to investigate whether the stem fixating the implant in the bone influences surface topography. Using optical profilometry, 19 surface texture parameters were evaluated, including spatial distribution and functional parameters obtained from the material ratio curve. For metal implants, wear during in vivo articulation occurred mainly via material removal, as shown by the significant decrease of the core‐valley transition from 91.5% in unused implants to 90% and 89.6% after 6 and 12 months, respectively. Conversely, for PCU implants, the wear mechanism consisted in either filling of the valleys or flattening of the surface by dulling of sharp peaks. This was illustrated in the change in roughness skewness from negative to positive values over 12 months of in vivo articulation. Implants with a softer stem experienced the most deformation, shown by the largest change in material ratio curve parameters. We therefore showed, using a detailed surface profilometry analysis, that the surface texture of metal and two different PCU FKRIs changes in a different way after articulation against cartilage, revealing distinct wear mechanisms of different implant materials.

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Rotational Wear and Friction of Ti-6Al-4V and CoCrMo against Polyethylene and Polycarbonate Urethane

Cited by 10 publications

References 45 publications

A New Approach for the Tribological and Mechanical Characterization of a Hip Prosthesis Trough a Numerical Model Based on Artificial Intelligence Algorithms and Humanoid Multibody Model

A New Approach for the Tribological and Mechanical Characterization of a Hip Prosthesis Trough a Numerical Model Based on Artificial Intelligence Algorithms and Humanoid Multibody Model

Tribological behavior of biomedical gradeUHMWPEwith graphite‐based fillers againstEBM‐Ti6Al4V pinunder various lubricating conditions

Surface texture analysis of different focal knee resurfacing implants after 6 and 12 months in vivo in a goat model

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