Welding Consumable Usability Evaluation Using Hierarchical Metrics
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Solution Overview
Problem
Existing methods for evaluating welding consumables lack comprehensive quantitative standards, failing to account for key factors such as weld bead size, wire feeding stability, and arc stability, which hinders effective evaluation and improvement of welding quality.
Innovation Solution
A comprehensive quantitative evaluation method and system that includes obtaining welding data, calculating metric values, establishing a hierarchical structure model, determining a priority relationship matrix, and using a membership function to determine usability indicators, incorporating factors like eccentricity, coating strength, and slag detachability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing evaluation methods are used, then some basic indicators can be measured, but comprehensive quantitative evaluation cannot be achieved due to insufficient factors and lack of quantitative standards
Solution Approach 1:
The evaluation system is segmented into four hierarchical levels: Level 1 (external quality, welding process quality, weld bead molding quality), Level 2 (specific indicators like arc stability, spatter rate, melting coefficient), Level 3 (metric values including mean and variance), and Level 4 (raw welding data). This segmentation allows comprehensive evaluation while managing complexity through structured organization of evaluation factors.
2Adaptability or versatility
If more evaluation factors are included, then comprehensive evaluation can be achieved, but the evaluation process becomes more complex and difficult to implement
Solution Approach 1:
The patent introduces a hierarchical dimension to the evaluation system, organizing numerous evaluation factors across four levels. This dimensional organization allows the system to incorporate comprehensive factors (improving adaptability) while managing complexity through the hierarchical structure, where higher levels aggregate information from lower levels.
Solution Approach 2:
The patent transforms qualitative evaluation factors into quantitative parameters by calculating metric values (mean and variance) for each indicator. This parameter transformation enables comprehensive evaluation of multiple factors while maintaining implementability through standardized quantitative measurements rather than subjective assessments.
3Measurement precision
If quantitative standards are established for all indicators, then comprehensive quantitative evaluation can be achieved, but the establishment process becomes complex requiring priority relationship matrices and membership functions
Solution Approach 1:
The patent employs priority relationship matrices that capture the relative importance of different evaluation indicators. This feedback mechanism allows the system to weight and aggregate indicators appropriately, achieving quantitative evaluation while systematically managing the complexity of establishing evaluation standards through iterative weight determination.
Solution Approach 2:
Membership functions serve as intermediaries between raw welding data and final evaluation results. These functions transform measured values into standardized scores, facilitating quantitative evaluation while simplifying the establishment process by providing a systematic transformation mechanism rather than requiring direct complex standard-setting for each indicator.
Data Source
AI summary
Provided is a comprehensive quantitative evaluation method and system for welding usability of welding consumables. The evaluation method includes: obtaining welding data of target welding consumables; calculating metric values of the welding data corresponding to the target welding consumables, where the metric values include a mean and a variance; establishing a hierarchical structure model; establishing a priority relationship matrix of each level in the hierarchical structure model and calculating a weight set of each level; determining a corresponding membership function according to indicator data of the bottom level of welding usability of the target welding consumables, where the indicator data of the bottom level is the metric value of the welding data corresponding to the target welding consumables; and determining quantitative evaluation indicators of the usability of the target welding consumables using the weight set and a comment set calculated by the membership function according to the hierarchical structure model.