Development of the Materials Integration System for Materials Design and Manufacturing

Abstract

The concept of the Materials Integration (MI) has been proposed as a framework to evaluate the performance of structural materials based on the PSPP (Process, Structure, Property, Performance) linkage. In order to solve direct problems for structural materials with complex input and output, this system designs and executes a workflow that enables continuous computation while focusing on data coordination and aggregation, and aggregates data. In the second phase of our project, we will develop an Application Programming Interface (API) to drive the MI-System from external programs so that the MI-System can be used in combination with various algorithms used to solve inverse problems, such as optimization and Bayesian statistical algorithms. In addition, we aim to solve the inverse problem systematically and efficiently by developing a mechanism to effectively utilize the computational resources distributed in various places and to handle large scale computations.

Artificial Intelligence Inspired Design of Non-Isothermal Heat Treatments for γ - γ' Two-phase Ni-based Alloys

“…In this section, we introduce the MInt system, which is used for the forward calculation in these alloys. MInt system is a computational work ow that we developed to simulate the microstructure evolution and evaluate the high-temperature strength for different alloys 32,33 . The detailed architecture of the MInt module system can be referred to in reference 31,33 .…”

“…In this paper, we would like to introduce AI-inspiring methodologies and report our attempt to address this problem for a Ni-Al binary alloy with the γ/γ' two-phase microstructure, which is a model for the Ni-based superalloys 30 . Recently, we have developed the computational work ow for high throughput prediction of 0.2% proof stress with different HT scheduling 31 , which is implemented in our original material design system, MInt 32,33 . Herein, we are trying to design non-IHTs with supreme 0.2% proof stress to that obtained by IHTs by connecting the prediction work ow with the AI algorithm for e cient searching of non-IHTs.…”

Melt Pool Shape Evaluation by Single-Track Experiments and Finite-Element Thermal Analysis: Balling and Lack of Fusion Criteria for Generating Process Window of Inconel738LC

“…Note that a series of the FEM simulations were conducted using a workflow on the Materials Integration System by networking technology (MInt) [ 28 , 29 , 30 ]. As described above, the FEM simulation requires various simulation parameters including the physical and the laser properties.…”

Materials Integration for Accelerating Research and Development of Structural Materials

“…In the MInt system each link is implemented as a module and to connect several modules as a workflow enables us to predict performance from process through structure and property. 9,13) The workflows can be regarded as accumulations of multiple research achievements; for example, a workflow to predict creep rupture time of a weld joint shown in Fig. 1 9) consists of the welding simulation, the detection of heat affected zone, and the creep damage simulation.…”

“…14) System architecture of MInt was detailed in Ref. 13) and it consists of the microstructure prediction system, the performance prediction system, and the property-space analysis system as schematically shown in Fig. 3.…”