Grant: Collaborative Research and Development Grants
Université de Sherbrooke
$70,667.00
A hybrid numerical-experimental methodology for robust assessment of automotive brake system noise
EF 2019-20
Résumé
Brake noise has been an issue for automotive manufacturers for decades and has led to customer perceived quality conditions, which in turn has a cost implication to manufacturers through warranty claims. It is a complex multifaceted problem. Although extensive research on brake noise has been conducted over decades, no comprehensive predictive methodology at the early design stage exists. Rather, a combination of dynamometer testing and finite element modeling techniques are used by the manufacturers to determine factors that may be influential in the aggravation of brake noise. These methods are employed at a stage when the brake system has already been finalized. This has led to noise control methods through complex changes to a combination of variables in an iterative process to reduce or eliminate noise conditions. These countermeasures are very keen to a particular brake system and are not applicable to other brake systems; hence, the process has to be repeated repeatedly for different brake systems resulting in a costly and time-consuming process. With the aim of mitigating this condition before reaching the final design, FCA (Fiat Chrysler Automobiles) is seeking to develop a more robust methodology, which has the ability to provide reliable and repeatable results, based on a better understanding of the sciences behind brake noise. This is the motivation behind this research. Its main objective is to develop a robust predictive tool that allows for a better understanding of the phenomena pertaining to brake noise with an emphasis on squeal noise. The main specification is to improve the correlation between the experimental and the numerical predictions so that the tool can be used at early design phases and processes rather than a diagnostic tool for existing systems. This will be achieved by adding uncertainty and variability in the modeling process with the help of experimental databases obtained with controlled laboratory experiments and dynamometer test rigs. More importantly, the tool will also predict disc brake sound radiation, a task often ignored in current tools and practices. The partner will be provided with an engineering tool together with the relevant methodologies dedicated to their brake noise prediction and design challenges. This knowledge toolbox will allow the partner a better engineering integration of brake system noise all along their products design cycle.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
526364-2018
Name nom
Atalla, Noureddine
Department département
Génie mécanique
Organization id
68
Institution établissement
Université de Sherbrooke
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
70667
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
512
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Transport equipment
Area of application fr
Matériel de transport
Research subject code
2100
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical engineering
Research subject fr
Génie mécanique
Installment
inst:2 - 2
Partie
2
Nb partie
2
Application title
A hybrid numerical-experimental methodology for robust assessment of automotive brake system noise
Keyword
NSERC
Application summary
Brake noise has been an issue for automotive manufacturers for decades and has led to customer perceived quality conditions, which in turn has a cost implication to manufacturers through warranty claims. It is a complex multifaceted problem. Although extensive research on brake noise has been conducted over decades, no comprehensive predictive methodology at the early design stage exists. Rather, a combination of dynamometer testing and finite element modeling techniques are used by the manufacturers to determine factors that may be influential in the aggravation of brake noise. These methods are employed at a stage when the brake system has already been finalized. This has led to noise control methods through complex changes to a combination of variables in an iterative process to reduce or eliminate noise conditions. These countermeasures are very keen to a particular brake system and are not applicable to other brake systems; hence, the process has to be repeated repeatedly for different brake systems resulting in a costly and time-consuming process. With the aim of mitigating this condition before reaching the final design, FCA (Fiat Chrysler Automobiles) is seeking to develop a more robust methodology, which has the ability to provide reliable and repeatable results, based on a better understanding of the sciences behind brake noise. This is the motivation behind this research. Its main objective is to develop a robust predictive tool that allows for a better understanding of the phenomena pertaining to brake noise with an emphasis on squeal noise. The main specification is to improve the correlation between the experimental and the numerical predictions so that the tool can be used at early design phases and processes rather than a diagnostic tool for existing systems. This will be achieved by adding uncertainty and variability in the modeling process with the help of experimental databases obtained with controlled laboratory experiments and dynamometer test rigs. More importantly, the tool will also predict disc brake sound radiation, a task often ignored in current tools and practices. The partner will be provided with an engineering tool together with the relevant methodologies dedicated to their brake noise prediction and design challenges. This knowledge toolbox will allow the partner a better engineering integration of brake system noise all along their products design cycle.