Sustainable tribology: Processing and characterization of multiscale thermoplastic composites within hydropower applications
2021 (English)In: Tribology of Polymer Composites: Characterization, Properties, and Applications / [ed] Sanjay Mavinkere Rangappa, Suchart Siengchin, Jyotishkumar Parameswaranpillai, Klaus Friedrich, Elsevier, 2021, p. 241-277Chapter in book (Other academic)
Abstract [en]
This chapter presents an overview of the demanding conditions of sliding bearing applications within hydropower plants, where the use of novel complex multiscale thermoplastic polymer composites is desired to combat the friction and wear issues. The three unique challenges of this application originate from its extreme contact pressure during operation (~ 30 MPa), the longevity of operation (~ 40 years) as the maintenance is significantly costly and complicated, and particularly the realization of oil-free or water lubrication from a sustainability perspective.
Green or sustainable tribology in hydropower applications is an emerging concept that emphasizes environmental adaptive lubrication (EAL) or fossil-fuel free lubrication with an improved or similar tribological performance. Polymers are the most promising materials for EAL lubrication compared to metal, as the corrosion becomes an important issue.
Recent investigations of several commercial and in-house made high-performance thermoplastic based multiscale polymer composite materials to solve the tribological issues in hydropower applications are presented in this chapter. Furthermore, various pre- and posttribological characterizations, detailed multiscale composite manufacturing processes, an important results are also described in detail.
Place, publisher, year, edition, pages
Elsevier, 2021. p. 241-277
Series
Elsevier Series on Tribology and Surface Engineering
Keywords [en]
Thermoplastics, Hydropower, Bearing, Water-lubrication, Multiscale composites, Carbon reinforcements, Hygrothermal aging, UHMWPE, PTFE, PPS
National Category
Other Mechanical Engineering
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-82746DOI: 10.1016/B978-0-12-819767-7.00013-XScopus ID: 2-s2.0-85123106527OAI: oai:DiVA.org:ltu-82746DiVA, id: diva2:1524810
Note
ISBN för värdpublikation: 978-0-12-819767-7
2021-02-022021-02-022025-02-14Bibliographically approved