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Psychoacoustic characteristics of different brake creep groan classes and their subjective noise annoyance in vehicle and half‑axle tests
ID Huemer-Kals, Severin (Author), ID Tóth, Máté (Author), ID Prezelj, Jurij (Author), ID Zacharczuk, Martin (Author), ID Fischer, Peter (Author), ID Häsler, Karl (Author)

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Abstract
Brake creep groan is a severely annoying noise and vibration phenomenon. Especially on the Asian market, customer feedback about creep groan is common, indicating creep groan’s impact towards the quality impression of a car. Hence, treatment of these stick–slip-related creep groan phenomena is necessary. As numerous design conflicts exist for brake and axle, a complete mitigation of the phenomenon is often not possible. A reduction of creep groan’s annoyance by changing the noise’s level and characteristics is therefore typically aspired. One approach towards this goal could include the usage of psychoacoustics: This work deals with psychoacoustic characteristics of different creep groan classes. Low-frequency groan, high-frequency groan, and transition groan classes are compared regarding loudness, sharpness, roughness, fluctuation strength, and tonality. Standard statistic methods as well as machine learning approaches are applied on signals from vehicle tests and half-axle tests. Test results depict the different characteristics of each creep groan class. By mapping the results to the subjective rating of trained test drivers, the annoyance of different classes is compared. Low-frequency groan, dominated by longitudinal axle vibrations, is found to be least annoying. This low annoyance is best depicted by the psychoacoustic parameters loudness and roughness. Presented results allow an optimization of brake system design to reduce creep groan’s annoyance, leading to higher customer satisfaction and a more goal-oriented treatment of this NVH problem.

Language:English
Keywords:creep groan, psychoacoustics, disk brakes, signal processing, subjective annoyance
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2023
Number of pages:Str. 55–71
Numbering:Vol. 8
PID:20.500.12556/RUL-152814 This link opens in a new window
UDC:534:629.3
ISSN on article:2365-5135
DOI:10.1007/s41104-023-00127-x This link opens in a new window
COBISS.SI-ID:148133891 This link opens in a new window
Publication date in RUL:07.12.2023
Views:392
Downloads:19
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Record is a part of a journal

Title:Automotive and engine technology
Publisher:Springer
ISSN:2365-5135
COBISS.SI-ID:114467843 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:psihoakustika, hrup zavor, digitalna obdelava signalov

Projects

Funder:Other - Other funder or multiple funders
Funding programme:Graz University of Technology

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