Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings |
| Untertitel | 2009 International Conference on Intelligent Engineering Systems, INES 2009 |
| Seiten | 125-130 |
| Seitenumfang | 6 |
| Publikationsstatus | Veröffentlicht - 2009 |
| Veranstaltung | 2009 International Conference on Intelligent Engineering Systems, INES 2009 - Barbados, Barbados Dauer: 16 Apr. 2009 → 18 Apr. 2009 |
Publikationsreihe
| Name | Proceedings - 2009 International Conference on Intelligent Engineering Systems, INES 2009 |
|---|
Abstract
Reduction of noise is a growing subject of interest in the automotive industry, especially in tire manufacturing. After construction of the basic tire design, that is design of the material and the basic building blocks called pitches, the last step in noise engineering of a tire is the determination of the pitch sequence of a tire. In this step the different types of pitches are put together regarding several constraints. Since there are a combinatorial number of valid pitch sequences, the goal is to find a valid pitch sequence with optimal noise characteristics. Due to the complexity of the problem, the globally optimal pitch sequence cannot be found by exhaustive search and intelligent algorithms such as Heuristic Optimization Algorithms, have to be used in order to find at least a locally optimal pitch sequence. Several successful approaches for this problem can be found in the literature for tires consisting out of just one pitch sequence. In this work tires consisting out of multiple pitch sequence (several tracks) are considered. We show how we can use algorithms for single track optimization and how we can combine them best for finding noise optimal tire designs for multiple pitch track tires.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Artificial intelligence
- Informatik (insg.)
- Information systems
- Informatik (insg.)
- Software
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Proceedings: 2009 International Conference on Intelligent Engineering Systems, INES 2009. 2009. S. 125-130 4924749 (Proceedings - 2009 International Conference on Intelligent Engineering Systems, INES 2009).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Tread profile optimization for tires with multiple pitch tracks
AU - Becker, Matthias
AU - Jaschke, Sebastian
AU - Szczerbicka, Helena
PY - 2009
Y1 - 2009
N2 - Reduction of noise is a growing subject of interest in the automotive industry, especially in tire manufacturing. After construction of the basic tire design, that is design of the material and the basic building blocks called pitches, the last step in noise engineering of a tire is the determination of the pitch sequence of a tire. In this step the different types of pitches are put together regarding several constraints. Since there are a combinatorial number of valid pitch sequences, the goal is to find a valid pitch sequence with optimal noise characteristics. Due to the complexity of the problem, the globally optimal pitch sequence cannot be found by exhaustive search and intelligent algorithms such as Heuristic Optimization Algorithms, have to be used in order to find at least a locally optimal pitch sequence. Several successful approaches for this problem can be found in the literature for tires consisting out of just one pitch sequence. In this work tires consisting out of multiple pitch sequence (several tracks) are considered. We show how we can use algorithms for single track optimization and how we can combine them best for finding noise optimal tire designs for multiple pitch track tires.
AB - Reduction of noise is a growing subject of interest in the automotive industry, especially in tire manufacturing. After construction of the basic tire design, that is design of the material and the basic building blocks called pitches, the last step in noise engineering of a tire is the determination of the pitch sequence of a tire. In this step the different types of pitches are put together regarding several constraints. Since there are a combinatorial number of valid pitch sequences, the goal is to find a valid pitch sequence with optimal noise characteristics. Due to the complexity of the problem, the globally optimal pitch sequence cannot be found by exhaustive search and intelligent algorithms such as Heuristic Optimization Algorithms, have to be used in order to find at least a locally optimal pitch sequence. Several successful approaches for this problem can be found in the literature for tires consisting out of just one pitch sequence. In this work tires consisting out of multiple pitch sequence (several tracks) are considered. We show how we can use algorithms for single track optimization and how we can combine them best for finding noise optimal tire designs for multiple pitch track tires.
KW - Multiple pitch tracks
KW - Noise
KW - Tire optimization
UR - http://www.scopus.com/inward/record.url?scp=70350382991&partnerID=8YFLogxK
U2 - 10.1109/INES.2009.4924749
DO - 10.1109/INES.2009.4924749
M3 - Conference contribution
AN - SCOPUS:70350382991
SN - 978-1-4244-4111-2
T3 - Proceedings - 2009 International Conference on Intelligent Engineering Systems, INES 2009
SP - 125
EP - 130
BT - Proceedings
T2 - 2009 International Conference on Intelligent Engineering Systems, INES 2009
Y2 - 16 April 2009 through 18 April 2009
ER -