Modeling & Characterization for Optimization of Additviely Manufactured Parts
Abstract
In this research effort, design tools and characterization techniques will be developed for optimizing the design of parts fabricated using Additive Manufacturing (AM) processes, such as direct metal laser sintering (DMLS). Current design tools are limited in their ability to simulate fine features and to predict the effects of post processing on the integrity of parts, as well as the evolution of material properties and their subsequent fatigue life. Therefore, we are addressing challenges in characterizing the evolution of material properties, in particular fatigue resistance, as well as the subsequent residual stress distributions and failure criteria that affect the creation of defect-free fine geometric features generated by optimization algorithms that are critical to reducing structural weight. We are utilizing a new simulation of laser sintering processes that accounts for failure modes and uses a microthermomechanical model to account for the property evolution due to sintering and heat treatment/HIP. Furthermore, we will utilize microindentation characterization to validate material properties for the model, as well as an indentation fatigue testing system we have developed to characterize localized fatigue resistance in the optimized parts and relate it to the laser sintering conditions and heat treatment/HIP. Successful implementation will enable the Navy to realize part geometries that minimize weight while being reliable over their service lifetime.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 04, 2019
- Source ID
- N004211910001
Entities
People
- Hugh Alan Bruck
Organizations
- United States Navy
- University of Maryland