Data · dataset · 2024
Tyre fingerprinting for rapid and cost-effective tyre model generation
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.26174/thesis.lboro.25179164.v1
<p dir="ltr">The design and development process of any new vehicle programmes is highly dependent on full vehicle simulations.
Description
These can only be performed if suitable tyre models are available. The tyre testing for model parameterisation purposes, however, is a time-consuming and an expensive activity.
Therefore, more effcient model parameterisation techniques are in high demand. This project challenges the existing tyre testing and modelling methodologies by proposing a less resource-demanding parameterisation procedure aimed at vehicle handling simulations.</p><p dir="ltr">This doctoral thesis provides an overview of the state-of-the-art tyre modelling and testing techniques. Based on the ?findings from the literature, a set of objectives are defi?ned.
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These cover areas such as the experimental modal analysis, the static measurements, the friction estimation strategies, the dynamic tyre model development and its validation as well as the evaluation of the efficiency of the process.</p><p dir="ltr">An experimental test procedure is proposed that is tailored to acquire parameters for a simple physical tyre model. A set of static measurements are performed which enable the acquisition of the contact patch properties, such as the contact length and the vertical load distribution.
A detailed review of the experimental modal analysis of pneumatic tyres is provided. The measured modal parameters are used in the formulation of the linear transient behaviour. A novel friction test rig is presented which allows for the measurement of the friction properties between a tyre tread and a test surface.</p><p dir="ltr">A brush-type of tyre model is used as a basis for the development of a Carrier model.
It is structured to include the parameters from the aforementioned experimental test methods. The model is capable of estimating the lateral and the longitudinal forces and the aligning torque as functions of slip under steady-state and linear transient operating conditions. The proposed test protocol takes less than one hour and it can be performed in-house, thus making it independent of any third party test facilities.
Consequently, there are no `running' costs associated with the procedure.</p><p dir="ltr">The outputs of the Carrier model are validated against the respective Magic Formula models using quantitative and qualitative analysis. On average, the normalised root mean square error (NRMSE) between the two models under pure slip conditions is found to be 9.69% for the lateral force, 12.21% for the longitudinal force and 24.12% for the aligning torque estimates.
It is also found that, on average, the likelihood of correctly ranking a set of tyres depending on their cornering stiffness magnitudes is 81.49%.</p>
Links
Where it is published
- DOI doi.org/10.26174/thesis.lboro.25179164.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Automotive engineering · Automotive engineering · Automotive engineering · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Engineering · Engineering · Engineering · Tribology · Tribology · Tribology
- Inferred from text
- Longitudinal study 65%
Provenance · 3 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/25179164 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/25179164 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/25179164 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:401708 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Tribology'] |
| concepts[field].anzsrc:field:401708 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Tribology'] |
| concepts[field].anzsrc:field:401708 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Tribology'] |
| concepts[field].anzsrc:group:4002 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Automotive engineering'] |
| concepts[field].anzsrc:group:4002 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Automotive engineering'] |
| concepts[field].anzsrc:group:4002 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Automotive engineering'] |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license_text | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |