Open AccessA Revised Approach for the Life Prediction of Metal Materials Fabricated by Additive Manufacturing
Author(s) -
Haiming Hong,
Jiaying Wang,
Peng Li
Publication year - 2021
Publication title -
mechanika
Language(s) - English
Resource type - Journals
eISSN - 2029-6983
pISSN - 1392-1207
DOI - 10.5755/j02.mech.28216
Subject(s) - materials science , surface area to volume ratio , energy density , work (physics) , constant (computer programming) , volume (thermodynamics) , structural engineering , metal , stress (linguistics) , mechanics , mechanical engineering , engineering , metallurgy , computer science , thermodynamics , engineering physics , physics , linguistics , philosophy , chemical engineering , programming language
In this work, a new fatigue damage model considering the additive manufacturing (AM) effects is established. We first present the elastoplastic constitutive model with the newly established fatigue damage model considering AM effects. The method to calibrate the material parameters is put forward, and the numerical solution of the theoretical model is implemented. Second, the fatigue lives of two AM metal materials are predicted, and the applicability of the theoretical model is verified by the test results. Finally, the influence of the volume energy density ratio on the fatigue life of AM metal materials is analyzed, and the results show that the volume energy density ratio has a great influence on the fatigue behavior of AM metal materials. When the ratio is less than 1.0, the fatigue life increases rapidly with the increase of the ratio. The fatigue life increases with the stress ratio when the volume density ratio keeps as a constant. The research work in this paper provides a feasible method to predict the fatigue life of AM metal materials by continuum damage mechanics in engineering.