• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Reliability growth model for a diode laser-based tape winding machine
 
  • Details
  • Full
Options
2017
Presentation
Titel

Reliability growth model for a diode laser-based tape winding machine

Titel Supplements
Presentation held at 33rd International CAE Conference and Exhibition 2017, Proceedings, 2017, 6th - 7th November, Vicenza, Italy
Abstract
Considering the key role played by maintenance related costs in the operative life of Machine Tools (MT), Reliability issues must be addressed starting from the very beginning of the system design. In this framework a statistical model is proposed, based on Reliability Growth Analysis (RGA), aimed at improving the mean life of the system components. This kind of analysis is no common practice in machinery and the model here proposed is applied to a laser-assisted tape winding machine, currently at prototype stage. Failure data, collected according to a systematic procedure during the machine test-find- test trials, are analyzed using Reliasoft Synthesis Platform according to a Crow/AMSAA based extended model. Actual and projected Mean Time Between Failures (MTBF) are calculated through simulations of various scenarios and the Growth Potential of the system is assessed. Improvements based on reasonable effectiveness factors are suggested to increase reliability performances of the machine.
Author(s)
Reina, Alice
Mach4Lab
Merlo, Angelo
Mach4Lab
Schäkel, Martin
Fraunhofer-Institut für Produktionstechnologie IPT
Aggogeri, Francesco
Mach4Lab
Konferenz
International CAE Conference and Exhibition 2018
File(s)
Embargo.pdf (409.32 KB)
Language
English
google-scholar
Fraunhofer-Institut für Produktionstechnologie IPT
Tags
  • reliability growth an...

  • reliasoft synthesis

  • machinery

  • Faserverbund

  • Zuverlässigkeit

  • Prozessanalyse

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022