Reliability assessment of mechanical product using numerical simulation and a similarity factor

TitreReliability assessment of mechanical product using numerical simulation and a similarity factor
Type de publicationCommunication
TypeCommunication avec actes dans un congrès
Année2017
LangueAnglais
Date du colloque30/08-01/09 2017
Titre du colloque12ème Congrès International Pluridisciplinaire en Qualité,Sûreté de fonctionnement et Développement Durable
AuteurSohoin, Rodrigue , Guérin, Fabrice , Riahi, Hassen , El Hami, Abdelkhalak, Bidet, Sandra, Attaf, Djelali
PaysFrance
VilleBourges
Mots-clésaccelerated testing, fatigue, mechanical reliability, Monte-Carlo simulations, similarity factor, Stochastic response surface
Résumé en anglais

The use of simulation based methods for mechanical reliability analysis is increasingly appreciated by industrial engineers. This because of the different possibilities and advantages they offer. However, these methods do not allow actual validation of the future reliability of the mechanial product. In other hand, manufacturers often have feedback (experimental data) from previous product developments. Thus, in a context where mechanisms are for the most similar, this prior knowledge can be of great use. This paper proposes a methodology for reliability estimation, consisting in joint use of numerical simulation and a similarity factor from prior knowledge on previous release of the mechanical product. In doing so, it is made possible to determinate at the earliest stage of the development process, an estimate of the experimental reliability before physical prototypes are available.

URL de la noticehttp://okina.univ-angers.fr/publications/ua16372
Lien vers le document en ligne

https://qualita2017.sciencesconf.org/