How To Predict Truck Tyre Wear

Mechteld Hoeksma, Wisut Kaewsakul (Contributor), Emile van der Heide (Contributor), David T.A. Matthews (Contributor), Anke Blume (Contributor)

Research output: Contribution to conferenceAbstractAcademic

Abstract

Durability and end of life considerations of products are important, especially regarding microplastic pollution . Tyres significantly contribute to this problem, with nearly 30% of the microplastics originat ing from tyre wear. Therefore predicting tyre wear and improving abrasion resistance of tyres are essential to decrease the microplastics.
Tyre wear is a complicated phenomenon, dependent on multiple factors , and predicting it for truck tyres remains a challenge. This work presents research on rubber abrasion, to understand factors influencing truck tyre abrasion and current laboratory measurement methods. Multiple factors were investigated and correlations between results from LAT100 analysis and material characteristics were evaluated. Results show linear abrasion dependence on the load and a positive correlation between shear strength and a brasion.
The abrasion was tested using both the DIN abrader and LAT100, with the latter
showing better correlation between lab and road data. However, current LAT100
protocols for car tyres are suboptimal for truck tyres. It requires further improvements like increasing the energy dissipation , reduced speed, increased load and disc sharpness.
Future work will optimise the LAT100 protocol for testing truck tyre compounds
and additional compounds will be developed to better understand wear behaviour and material properties.
Original languageEnglish
Publication statusPublished - 10 Sept 2024
Event15th Fall Rubber Colloquium: KHK - H4 Hotel Hannover Messe Würzburger Straße 21 30880 Laatzen, Hannover, Germany
Duration: 10 Sept 202412 Sept 2024
https://www.dikautschuk.de/khk/program/scientific-program/

Conference

Conference15th Fall Rubber Colloquium: KHK
Country/TerritoryGermany
CityHannover
Period10/09/2412/09/24
Internet address

Fingerprint

Dive into the research topics of 'How To Predict Truck Tyre Wear'. Together they form a unique fingerprint.

Cite this