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Wits, Wessel
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Topics
Publications (15/15 displayed)
- 2023Fatigue prediction and life assessment method for metal laser powder bed fusion partscitations
- 2021Graded structures by multi-material mixing in laser powder bed fusioncitations
- 2020Porous materials additively manufactured at low energycitations
- 2020Pulsed mode selective laser melting of porous structures: Structural and thermophysical characterizationcitations
- 2019Experimental investigation of a flat-plate closed-loop pulsating heat pipecitations
- 2018Method to determine thermoelastic material properties of constituent and copper-patterned layers of multilayer printed circuit boardscitations
- 2017An investigation of porous structure characteristics of heat pipes made by additive manufacturingcitations
- 2017Multiscale modelling of agglomeration
- 2017An experimental study towards the practical application of closed-loop flat-plate pulsating heat pipescitations
- 2015Investigation on the Accuracy of CT Porosity Analysis of Additive Manufactured Metallic Parts
- 2015Single scan vector prediction in selective laser meltingcitations
- 2015Laser beam welding of titanium additive manufactured partscitations
- 2014System for fast and accurate filling of a two-phase cooling device, notably a heat pipe, adapted for use in an automated process
- 2013System for fast and accurate filling of a two-phase cooling device, notably a heat pipe, adapted for use in an automated process
- 2010Inkjet Printing of 3D Metallic Silver Complex Microstructures
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article
Fatigue prediction and life assessment method for metal laser powder bed fusion parts
Abstract
<p>In this paper, an industry-accepted fatigue model based on generalized stress-life (S–N) curves is adapted for metal parts fabricated by laser powder bed fusion (LPBF). Initial defects inherent to the fabrication process, such as part porosity, are related to fatigue life performance. Hereto, additively manufactured test specimens are fatigue tested and used to formulate a function to predict fatigue life based on the size of initial defects. The predictions correlate well with experimental results and provide a quality measure to expel outliers. The method can be used to predict the life expectancy of LPBF parts based on a priori detected defect sizes.</p>