Composite Material Property Estimation via Regression Formula
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Solution Overview
Problem
Existing methods for estimating the physical properties of composite materials are limited in accuracy when relying solely on compound data, as they do not adequately consider material features such as specific gravity and surface area.
Innovation Solution
A device and method that utilize a physical property regression formula incorporating both compound data and feature data, including specific gravity and surface area, to estimate physical properties with higher accuracy by using a storage unit, reception unit, and physical property calculation unit to calculate feature values and apply them to the estimation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical property estimation is performed using only compound data of materials, then the estimation process is simple, but the estimation accuracy is insufficient
Solution Approach 1:
The patent segments the estimation system into distinct functional modules: a storage unit for storing regression formulas and feature amount values, a reception unit for receiving compound data, and a physical property calculation unit for performing calculations. This segmentation allows the system to handle complex estimation tasks by breaking them down into manageable components, each with specific responsibilities.
Solution Approach 2:
The patent implements preliminary action by pre-storing learned physical property regression formulas and feature amount values in the storage unit before actual estimation is needed. The regression formulas are prepared in advance using training data, allowing the estimation process to proceed efficiently without requiring real-time complex computations during actual use.
2Measurement precision
If feature data such as specific gravity and surface area are incorporated into the estimation, then estimation accuracy improves, but the complexity of data collection and processing increases
Solution Approach 1:
The patent applies self-service by having the physical property calculation unit automatically retrieve and utilize feature amount values from the storage unit during the estimation process. The system serves itself by internally managing the retrieval and application of feature data without requiring external manual intervention, thereby simplifying the overall process despite the increased complexity of data collection.
3Productivity
If multiple physical properties are estimated simultaneously, then productivity increases, but the complexity of the calculation process increases
Solution Approach 1:
The patent implements universality by designing the physical property calculation unit to handle multiple types of physical property estimations using a unified approach. The same calculation unit processes different physical properties (e.g., tensile strength, elongation, heat resistance) by applying different regression formulas stored in the storage unit, eliminating the need for separate dedicated processing systems for each property type.
Data Source
AI summary
A physical property value estimation device that estimates a physical property value corresponding to a physical property required for a composite material is provided with a storage unit that stores a learned physical property regression formula corresponding to the physical property in order to calculate a physical property value corresponding to a physical property predetermined as an objective variable, by using compound data of a material that composes the composite material and feature data of the material as explanatory variables, and stores a feature amount value of the material required for calculating the feature data; a reception unit that receives compound data of the material that composes the composite material as an estimation target; and a physical property calculation unit that obtains the physical property regression formula corresponding to the physical property from the storage unit, and calculates the physical property value based on the obtained compound data by using the obtained physical property regression formula The physical property regression formula established by using the compound data and the feature data includes a feature function for calculating the feature data from the compound data and the feature amount value.