2013
DOI: 10.1016/j.proeng.2013.12.120
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Fast Fatigue Properties Identification by “Self-heating” Method: Application to Automotive Welded Joints

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Cited by 8 publications
(3 citation statements)
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“…Very few works have tried to use accelerated thermographic methods by monitoring surface temperature to study the fatigue behaviour of complex components or welded joints . In particular, a fatigue analysis has been carried out on butt welded AH36 steel joints using the rapid thermographic method resulting in good agreement with the S‐N curve obtained as reported in codes and standards …”
Section: Introductionmentioning
confidence: 87%
“…Very few works have tried to use accelerated thermographic methods by monitoring surface temperature to study the fatigue behaviour of complex components or welded joints . In particular, a fatigue analysis has been carried out on butt welded AH36 steel joints using the rapid thermographic method resulting in good agreement with the S‐N curve obtained as reported in codes and standards …”
Section: Introductionmentioning
confidence: 87%
“…Thermography has proven to be an effective and versatile experimental method for the characterization of the fatigue behaviour of welded joints. For instance it allows for the characterization of a local heat dissipation behaviour useful to the assessment of a predictive fatigue model 8,22,23 . It can also be used for a rapid assessment of the fatigue strength [24][25][26] , based on an empiric self-heating approach 27 .…”
Section: Infrared Thermography For the Detection Of Cracksmentioning
confidence: 99%
“…More recently, other authors have showed similar correlation for simple specimens made of steel, 17,18 copper, 19 polymer 20 and for more complex structures such as a ship propeller 21 and welded joints. 22 However, especially for structures, the temperature variations are not directly related to heat sources but are influenced by heat transfer (conduction and convection). Thus, heat sources are more relevant than temperature variations to be correlated with fatigue limit.…”
Section: Introductionmentioning
confidence: 99%