Tailoring the theory of critical distances to better assess the combined effect of complex geometries and process-inherent defects during the fatigue assessment of SLM Ti-6Al-4V

• Published in: International journal of fatigue Vol. 172; p. 107602
• Main Authors: Gillham, Bobby, Yankin, Andrei, McNamara, Fionnan, Tomonto, Charles, Huang, Chunjie, Soete, Jeroen, O'Donnell, Garret, Trimble, Daniel, Yin, Shuo, Taylor, David, Lupoi, Rocco
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.07.2023
• Subjects: Critical distance; Defects; Fatigue design; LEFM; SLM; LEFM; SLM; Critical distance; Fatigue design; Defects
• ISSN: 0142-1123; 1879-3452
• DOI: 10.1016/j.ijfatigue.2023.107602

•A modified Theory of Critical Distances method for fatigue prediction of AM Ti64.•Aim is to apply the TCD to the scenario of multiple stress concentrating features.•Point Method (PM) and Line (LM) Method forms of the TCD are implemented.•Fracture surfaces help to reveal material behaviour during the failure process. This work aims to apply the Theory of Critical Distances (TCD) to the fatigue assessment of additively manufactured (AM) Ti-6Al-4V material produced via the selective laser melting (SLM) process. Modified alternatives to traditional TCD methods are considered. In this sense, it is sought to develop a fatigue prediction model that is better suited to assessing the impact of multiple stress-rising features which are located in close proximity to each other. Hereby, consideration has been given to modelling process-inherent surface roughness in combination with an internally positioned artificial defect, shaped as a feature that is reminiscent of a pore. Simultaneously, the research also seeks to circumnavigate a potential issue with respect to the current TCD methodology. This concerns the matter of applying TCD practices to components whereby the area of interest for conducting stress-distance analytics is on a size scale that is smaller than that of the critical distance length parameter itself. Several different strategies were attempted as a way to try and achieve meaningful modifications to the TCD process. Results show that it is possible to overcome such challenges that can often present themselves during the fatigue appraisal of AM metal parts. In this sense, the optimal novel strategy that was experimented with returned average error margins of 13.7% or better. It is anticipated that such models may assist in further optimising the accuracy of service life evaluation for metallic AM components that are intended for industry.