Graduation Semester and Year
2018
Language
English
Document Type
Thesis
Degree Name
Master of Science in Mechanical Engineering
Department
Mechanical and Aerospace Engineering
First Advisor
Robert M Taylor
Abstract
A design of experiments approach has been used to analytically determine a low cycle fatigue (LCF) constraint for use in design optimization of 3D printed structures. In context of metal additive manufacturing, the process of melting, solidification and consolidation of metal powder introduces very high temperature gradient field within the build which in turn results in high compressive stresses at the core and tensile stresses at the outer surface of the part after it has cooled down to room temperature post build. An approach of finite element modeling in ANSYS Additive has been used to develop a residual stress profile throughout the build in bridge shaped specimens, keeping the build boundary temperature considerably less than melting temperature of the metal. The effect of these stresses on the fatigue life is predicted using Coffin Manson’s model based on plastic strain state produced by high residual stresses superimposed with external loading. Furthermore, equations were developed using linear regression to generate a response surface as a function of span and thickness of the models which could be used for any range of values of these dimensions to represent the fatigue life as well as distortions. With consideration of structural response shown by the specimens, the current work demonstrates a method in using the developed equations for shape optimization of the printed parts.
Keywords
3D printing, Fatigue, Optimization
Disciplines
Aerospace Engineering | Engineering | Mechanical Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Pokharel, Ashish, "AN ANALYTICAL DESIGN OF EXPERIMENTS METHOD FOR FATIGUE CONSTRAINED DESIGN OPTIMIZATION OF A 3D PRINTED STRUCTURE" (2018). Mechanical and Aerospace Engineering Theses. 815.
https://mavmatrix.uta.edu/mechaerospace_theses/815
Comments
Degree granted by The University of Texas at Arlington