Synovial Lubricated Joints—Devices and Mechanical Behavior
A special issue of Lubricants (ISSN 2075-4442).
Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 15167
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue will further explore damage development in medical devices due to in vivo usage. Most implantable devices, under activities of daily living, are subjected to repeated loading and unloading cycles. Depending on their design requirements, skeletal devices are subjected to fatigue, wear, corrosion, oxidation, and other damaging processes. These devices fail prematurely as a result. Therefore, it is important that mechanisms controlling tribology are understood fully independently or in interactive mode. The majority of orthopaedic total joint replacement devices require synovial fluid for lubrication. Thus, there is a renewed interest in understanding not only the performance of the devices but also the hydrostatic and mechanical behavior of synovial fluid interacting with total joint replacement devices. It is also important to understand the properties of this fluid presenting biomarkers with respect to arthritic conditions, age, and other demographic factors. This fluid forms a thin film between articulating surfaces that then determines the wear characteristics of the metal-liner bearings. This Special Issue will seek to understand lubricating orthopaedic devices and wearing mechanisms. Topics solicited are general in vivo science of the devices and fluid and mechanical behavior of materials investigated under broad topics of fatigue and tribology. Some of the devices may be at the interface of the biological environment as well, and modeling these complex interactions will contribute immensely to the existing knowledge.
Prof. Dr. Tarun Goswami
Guest Editor
Manuscript Submission Information
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Keywords
- medical devices
- synovial fluid analysis and properties
- hydrodynamics
- total joint replacement devices
- wear rates
- tribology
- biomarkers presenting osteoarthritis
- measurement and modeling
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