Composite Material Estimation via Numerical Characteristic Values

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing physical quantity estimating systems for composite materials face challenges in accurately estimating the value of physical quantities when new constituent materials not used in the training data are included, due to the use of material names as input parameters, which limits the applicability and accuracy of the estimation.

Innovation Solution

The system employs characteristic values of constituent materials expressed as numerical values for input parameters, allowing for the synthesis and estimation of physical quantities for composite materials containing new constituent materials by generating an approximate function based on these values and blending ratios.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If material names are used as input parameters for estimation, then the system can estimate physical quantities for composite materials within the training data range, but the system cannot accurately estimate physical quantities for composite materials containing new constituent materials not used in training

Engineering Contradiction:
Improveestimation accuracyVSAvoidapplicability to new materials
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent transforms the input parameters from categorical material names to numerical characteristic values. This parameter transformation enables the approximate function to process quantitative relationships between constituent materials and their physical quantities, allowing accurate estimation even for new materials whose characteristic values can be measured or obtained, thus resolving the contradiction between estimation accuracy and applicability to new materials

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces characteristic values as an intermediary between material names and physical quantities. Instead of directly mapping material names to physical quantities, the system uses characteristic values (such as molecular weight, viscosity, or other measurable properties) as a mediator. This intermediary enables the system to handle new materials by measuring their characteristic values and using these numerical values in the approximate function, thereby expanding applicability while maintaining estimation accuracy

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If characteristic values are used as input parameters instead of material names, then the system can estimate physical quantities for composite materials with new constituent materials, but the system complexity increases due to the need to manage and process numerical characteristic data

Engineering Contradiction:
Improveapplicability to new materialsVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal approximate function that can handle both existing and new constituent materials through a unified numerical parameter system. The characteristic value-based approach allows the same estimation function to work for any material whose characteristic values can be obtained, eliminating the need for separate handling procedures for new materials and thus managing complexity through universality

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If comprehensive training data covering all possible constituent materials is collected, then the system can accurately estimate physical quantities for any composite material, but the data collection and preparation time and costs increase enormously

Engineering Contradiction:
Improveestimation accuracyVSAvoiddata preparation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

By changing from material-name-based parameters to characteristic value-based parameters, the system transforms the problem from requiring comprehensive material-specific training data to requiring general relationships between characteristic values and physical quantities. This parameter transformation enables the system to handle new materials without needing their specific training data, thus reducing data preparation time and costs while maintaining estimation accuracy

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20220308039A1Physical quantity estimating system and physical quantity estimating method
Publication Date: 2022.09.29 PROTERIAL LTD
  • US20220308039A1 patent drawing
  • US20220308039A1 patent drawing
  • US20220308039A1 patent drawing

AI summary

A physical quantity estimating system for estimating a value of physical quantity for a composite material is provided. The composite material contains two or more materials included in a plurality of different materials as constituent materials. The physical quantity estimating system includes: an approximate function generating unit configured to generate, when a first synthesis characteristic value of a first composite material whose value of physical quantity is unknown is inputted, an approximate function of outputting the value of the physical quantity; a synthesis characteristic value calculating unit configured to calculate the first synthesis characteristic value based on a first blending ratio of constituent materials contained in the first composite material and first related data corresponding to each constituent material; and a physical quantity estimating unit configured to estimate the value of the physical quantity for the first composite material based on the first synthesis characteristic value and the approximate function.