Friction-Wear and Noise Characteristics of Friction Disks with Circular Texture.

caliper disc brake growth rate noise texture wear

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
14 May 2024
Historique:
received: 18 04 2024
revised: 11 05 2024
accepted: 13 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 25 5 2024
Statut: epublish

Résumé

The reduction of friction-induced noise is a crucial research area for enhancing vehicle comfort, and this paper proposes a method based on circular pit texture to achieve this goal. We conducted a long-term sliding friction test using a pin-on-disc friction and a wear test bench to verify the validity of this method. To compare the friction noise of different surfaces, texture units with varying line densities were machined on the surface of friction disk samples. The resulting friction-wear and noise characteristics of the samples were analyzed in conjunction with the microscopic morphology of the worn surfaces. The results indicate that surfaces with textures can delay the onset of squeal noise, and the pattern of its development differs from that of smooth surfaces. The noise reduction effect is most evident due to the proper distribution of textures that can form furrow-like wear marks at the wear interface. The finite element results demonstrate that this morphology can improve pressure distribution at the leading point and reduce the tendency of system instability.

Identifiants

pubmed: 38793403
pii: ma17102337
doi: 10.3390/ma17102337
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Natural Science Foundation of China
ID : 52205047
Organisme : National Natural Science Foundation of China
ID : 52175037
Organisme : China Postdoctoral Science Foundation
ID : BX20220379
Organisme : China Postdoctoral Science Foundation
ID : 2021M700422

Auteurs

Biao Ma (B)

Beijing Institute of Technology, Beijing 100081, China.

Weichen Lu (W)

Beijing Institute of Technology, Beijing 100081, China.

Liang Yu (L)

Beijing Institute of Technology, Beijing 100081, China.

Cenbo Xiong (C)

Beijing Institute of Technology, Beijing 100081, China.

Guoqiang Dang (G)

Beijing Institute of Technology, Beijing 100081, China.

Xiaobo Chen (X)

Beijing Institute of Technology, Beijing 100081, China.

Classifications MeSH