Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Developing an advanced spline fatigue prediction method
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Fatigue failure is one of the most critical issues in industry nowadays as 60 to 90 percent of failures in metals are due to fatigue. Therefore, different methods and approaches are developed to estimate the fatigue life of metallic parts. In this research, a case-hardened steel splined shaft is studied to estimate the fatigue life that the shaft will withstand before failure. The purpose of the research is to develop an advanced fatigue prediction method for splines.A static experimental test was performed on the splined shaft for analyzing the load-strain behavior of the shaft and determining the suitable load cases of the study. A dynamic test of pure torsional load was carried out to collect experimental results for validating the generated fatigue methods and investigating the failure behavior of the shaft. Stress analysis was performed on the part for investigating critical areas and the effect of the different spline teeth designs on the resulting stress. Two finite element models were analyzed using two software, MSC Marc software with a geometry of straight spline teeth and Spline LDP with an involute spline teeth model. DIN 5466-1 spline standard’s analytical solution was used for verification purposes. Stress and strain-based approaches were used to estimate fatigue life. The most suitable method was evaluated against experimental test results.The research findings show that the most critical stress areas on the shaft are the spline root fillet and relief. When the part fails due to fatigue the crack initiates at the root fillet and propagates to the relief. It is also shown that involute teeth spline gives higher stress than straight teeth for the same load due to less contact area.The conclusion of the research could be summarized in: the stress-based method (Wöhler curve) is giving good accuracy and proved a reliable method. While among six different approaches used of strain-based methods, four-point correlation method is giving the best correlation to test results. Hence, it is recommended to use four-point correlation method for fatigue analysis for its accuracy and for considering both elastic and plastic behavior of the material.

Place, publisher, year, edition, pages
2019. , p. 74
Keywords [en]
fatigue, fatigue prediction, splines, stress analysis, Finite element analysis
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:bth-18927OAI: oai:DiVA.org:bth-18927DiVA, id: diva2:1370593
External cooperation
GKN Driveline Köping
Subject / course
MT2565 Master's Thesis in Mechanical Engineering - Structural Mechanics
Educational program
MTAMT Master of Science Programme in Mechanical Engineering with emphasis on Structural Mechanics
Presentation
2019-10-25, J1640, Karlskrona, 11:40 (English)
Supervisors
Examiners
Available from: 2019-12-03 Created: 2019-11-15 Last updated: 2019-12-03Bibliographically approved

Open Access in DiVA

Developing an advanced(3450 kB)0 downloads
File information
File name FULLTEXT02.pdfFile size 3450 kBChecksum SHA-512
5a9b1ebbb58088ebd55594978475e79a3d3c580db2de764c476914662f5feb9a6937698dc9027d08d09b83c9f82f72bf45fe214c1d47f2915a932d1bc42bd144
Type fulltextMimetype application/pdf

By organisation
Department of Mechanical Engineering
Vehicle Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 2 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf