Mechanics & Industry
Volume 19, Number 6, 2018
|Number of page(s)||12|
|Published online||01 February 2019|
Fatigue life prediction of joggle weld joint using virtual strain gauge and its validation through experiments
School of Mechanical Engineering, VIT University, Vellore 632014, India
2 School of Mechanical and Buidling Science, VIT University, Chennai 600127, India
3 The Automotive Research Association of India S. No. 102, Vetal Hill, Kothrud, Pune 411038, India
* e-mail: email@example.com
Accepted: 26 November 2018
This paper highlights fatigue life prediction and interactions between weld design parameters and their effect on joggle weld joint using the virtual strain gauging and its validation through experimental testing. Based on the concept of linear elastic fracture mechanics, the effects of weld geometry, load conditions and the boundary constraints on the fatigue strength of joggle weld joint are investigated using the finite element analysis. Response surface methodology is used to evaluate the influences of three weld joint parameters: plate thickness (Pt), root gap (Rg) and load (Ld) on normal stress (St) and fatigue life (Lf). Main effect plot shows that the plate thickness and the load are important parameters affecting the normal strain and fatigue life, whereas root gap influences the fatigue life only up to 2 mm, but no influence on fatigue life is observed after 3 mm of root gap. Experimental results show that the presence of secondary bending affects the experimental values of fatigue life. Contour plot and regression equation are used to study the effects of weld joint parameters on normal stress and fatigue life.
Key words: Response surface methodology (RSM) / strain life / fatigue life / finite element analysis
© AFM, EDP Sciences 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.