Computational Design of Experiment Framework for Processing of Metal Alloys
T2022-352 A software tool for optimizing the manufacturing process for metal alloys.
Metallic alloys are composed of a homogeneous mixture of two or more metals or of metals and nonmetal or metalloid elements to provide specific characteristics or structural properties. Alloys are used in many applications, such as aircraft, offshore drilling, automobiles, and others.
The Need
Obtaining the optimal microstructure and mechanical parameters when manufacturing alloys, especially those that are reheated multiple times, is challenging. Current methods for optimizing metal alloys rely on expensive and time-consuming trial-and-error experiments.
The Technology
This technology is a framework for optimizing the manufacturing processes of metal alloys to achieve optimal microstructure, mechanical, and service properties. The framework comprises various modules, including DoE, FEA, a process-microstructure property (PMP) relationships set, and a post-processing (PP) module. The framework replaces conventional trial-and-error experimental approaches for process development in additive manufacturing (AM), welding, and other materials requiring multiple reheat processing.
Commercial Applications
This invention can be used in additive manufacturing and welding processes that produce critical components for defense, power generation, transportation, oil and gas, and petrochemical applications.
Benefits/Advantages
Compared to lengthy and expensive trial and error methods, this invention is a rapid, efficient, and inexpensive tool for optimizing alloy development.
Intellectual Property
Software