This research investigates the diverse thermal reactions of additively manufactured Inconel 718 samples under cyclic dynamic loading, predominantly influenced by the Self-Heating effect. The study assesses the feasibility of utilizing thermographic techniques to construct an S-N curve for predicting fatigue life with a reduced number of samples compared to conventional constant-amplitude tests. Dedicated Self-Heating tests are performed, systematically elevating the loading amplitude while concurrently tracking the specimen's temperature. The credibility of the proposed solution is juxtaposed with our experimental data, encompassing the influence of four distinct heat treatments on samples from a single additive manufacturing build. This comparison yields valuable insights and leads to noteworthy conclusions.

This study explores the varying thermal response of additively manufactured samples of AlSi10Mg subjected to cyclic loading. The thermal response is driven primarily by the self-heating effect. The paper explores the viability of employing thermographic methods to establish an S-N curve for fatigue life prediction with fewer samples than traditionally required from constant-amplitude tests. Specific Self-Heating tests are conducted, gradually increasing the loading amplitude while monitoring the specimen's temperature. The validity of evaluated solution is compared with the own experimental data including the impact of four heat treatments on the samples from one AM batch, leading to valuable insights and conclusions.