Durability Analysis of a Harvesting Vehicle using Matlab and Ansys

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

The present paper describes an approach to predict fatigue damage of a mechanical system applying modal super-positioning. Initially a dynamic FEM beam model including a nonlinear wheel contact model has been developed for the harvesting vehicle structure. A load history is generated for a specific joint in the vehicle. From the influence matrix for the particular joint fatigue life is determined. For the full 3D solid FE model, modal super-positioning is introduced in order to reduce the computational costs. From modal analysis a limited number of mode shapes can be obtained and full deformation state is determined by modal super-positioning. The developed nonlinear wheel contact model and the modal system are coupled through a 3D beam element. The obtained fatigue life agrees well compared to actual observations and tests performed on a prototype.

Original languageEnglish
Title of host publicationNWC2009 : NAFEMS : The Analysis Advantage : Perspectives on Engineering Simulation for Today and Beyond : The NAFEMS World Congress 2009 : Proceedings
Number of pages7
PublisherThe International Association for the Engineering Analysis Community
Publication date2009
ISBN (Electronic)9781874376422
Publication statusPublished - 2009
EventThe NAFEMS World Congress : The Analysis Advantage : Perspectives on Engineering Simulation for Today and Beyond - Crete, Greece
Duration: 16 Jun 200919 Jun 2009
Conference number: 12

Conference

ConferenceThe NAFEMS World Congress : The Analysis Advantage : Perspectives on Engineering Simulation for Today and Beyond
Number12
Country/TerritoryGreece
CityCrete
Period16/06/200919/06/2009

Keywords

  • Modal super-position
  • Fatigue
  • Modal analysis
  • Dynamics
  • Contact models

Fingerprint

Dive into the research topics of 'Durability Analysis of a Harvesting Vehicle using Matlab and Ansys'. Together they form a unique fingerprint.

Cite this