Phase Ratio Prediction Analysis for Alloy Composition Changes

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Solution Overview

Problem

Designers face a high workload and difficulty in understanding the impact of additive element content on phase ratios in alloys due to the large number of elements, making it challenging to achieve a desired phase ratio.

Innovation Solution

A prediction result analysis device and method that utilizes a trained model to predict phase ratios using material composition, calculates partial derivatives, and displays integral gradients in a heat map to facilitate understanding of the impact of material composition modifications on phase ratios.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If the designer performs prediction operations by successively increasing or decreasing the content of all additive elements and comparing predicted phase ratios with original phase ratios, then the degree of impact of each additive element on the phase ratio can be understood, but the workload on the designer increases significantly when the alloy includes a large number of additive elements

Engineering Contradiction:
ImproveUnderstanding of impact degreeVSAvoidDesigner workload
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent introduces an intermediate material with composition halfway between the original material and the modified material. By calculating partial derivatives at this intermediate point, the system provides an approximate impact degree without requiring exhaustive predictions of all intermediate steps, thus reducing designer workload while maintaining understanding of impact degrees

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent changes the parameter from evaluating all intermediate compositions to evaluating only the intermediate material with halfway composition. This parameter change reduces the number of predictions required from potentially many steps to just one intermediate step, significantly reducing workload while preserving the essential impact information

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If the designer merely compares phase ratios before and after modification, then the operation is simple, but it is difficult to understand the degree of impact of the content of each additive element on the phase ratio

Engineering Contradiction:
ImproveOperation simplicityVSAvoidUnderstanding of impact degree
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The patent replaces the mechanical comparison operation with a mathematical differentiation operation. Instead of merely comparing phase ratio values, the system calculates partial derivatives that directly represent the degree of impact of each additive element, providing both operational simplicity and quantitative impact understanding

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent performs preliminary calculation of partial derivatives at the intermediate material composition before the designer needs to interpret the results. This preliminary action provides ready-to-use impact degree information that is both easy to obtain and informative, resolving the contradiction between operational simplicity and information completeness

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP4682893A1Prediction result analysis device, analysis method, and analysis program
Publication Date: 2026.01.21 RESONAC CORP
  • EP4682893A1 patent drawingFigure 1
  • EP4682893A1 patent drawingFigure 2
  • EP4682893A1 patent drawingFigure 3

AI summary

One object is to easily understand the degree of impact on a phase ratio caused by a modification of a material composition. A prediction result analysis device includes a storage unit configured to store a trained model that is trained using training data in which a material composition of a material to be trained, and a phase ratio of the material to be trained at each temperature within a specific temperature range, are associated with each other, an intermediate composition generation unit configured to generate a material composition of a plurality of intermediate materials, by dividing between the material composition of the material to be predicted and a material composition of a baseline material, a prediction unit configured to calculate a partial derivative by partially differentiating a value predicted for a phase specified in advance at each temperature, when predicting a phase ratio of the plurality of intermediate materials at each temperature within the specific temperature range, by inputting the material composition of the plurality of intermediate materials to the trained prediction model, an integral gradient calculation unit configured to calculate an integral gradient of each temperature and each component, by integrating the calculated partial derivative for each component included in the material composition of the plurality of intermediate materials at each temperature, and a display unit configured to display a heat map in which each component is arranged on a first axis and each temperature is arranged on a second axis, and each area specified based on each component and each temperature is displayed in a display mode corresponding to the integral gradient.