Material Selection Under Manufacturing and Use Constraints
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack an efficient and objective method for selecting materials that meet specific design and manufacturing constraints, making material selection for product design a complex and often infeasible task for designers.
Innovation Solution
A computer-implemented method that classifies materials based on their compatibility with use and manufacturing constraints, using Multiple Criteria Decision Aiding sorting models to determine an optimal subset of materials for manufacturing products, considering both performance-driven and economic-driven criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional manual material selection methods are used, then designers can exercise subjective judgment, but the process becomes complex and often infeasible for products with multiple constraints
Solution Approach 1:
The patent replaces manual, subjective material selection with an automated computer-implemented system that uses Multiple Criteria Decision Aiding algorithms. The system automatically classifies materials by computing compatibility scores based on weighted criteria, eliminating the need for complex manual evaluation while maintaining objective decision-making through mathematical modeling.
Solution Approach 2:
The patent transforms the material selection process by changing from qualitative subjective judgment to quantitative objective evaluation. It introduces numerical parameters including compatibility scores, criterion weights, and constraint satisfaction levels, allowing the system to process multiple constraints simultaneously through computational algorithms rather than manual assessment.
2Measurement precision
If comprehensive material evaluation considering multiple criteria is performed, then selection accuracy improves, but computational complexity and time requirements increase
Solution Approach 1:
The patent performs preliminary classification of materials by evaluating them against all specified criteria and constraints before final selection. The system pre-computes compatibility scores for each material-criteria pair, organizing the evaluation results in advance to facilitate rapid final decision-making without requiring time-consuming iterative analysis.
Solution Approach 2:
The patent creates simplified representations of material properties and constraints through structured data models and compatibility scoring systems. By copying and processing standardized material data against predefined criteria templates, the system achieves comprehensive evaluation efficiency without requiring analysis of every possible material attribute in detail.
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
The disclosure notably relates to a computer-implemented method for designing a manufacturing product. The method comprises providing a set of materials for manufacturing the product. The method further comprises providing a set of use and/or manufacturing constraints for the manufacturing product. The method further comprises providing specifications indicating an extent of compatibility of one or more reference materials with the constraints. The method further comprises determining an optimal subset of the set of materials for manufacturing the product. The determining includes classifying the materials with respect to compatibility with the constraints and based on the provided specifications. This constitutes an improved method for designing a manufacturing product.