Blade-Reinforcement Pairing to Minimize Assembly Defects
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Solution Overview
Problem
The assembly of composite material blades with titanium leading edge reinforcements is a time-consuming process often requiring manual sanding to correct production defects, which can degrade the mechanical performance of the final part and may not fully address assembly issues.
Innovation Solution
A method that estimates a defect indicator for each pair of parts to minimize the need for machining operations by optimizing the pairing of blades and leading edge reinforcements, using geometric characteristics and predictive models to identify feasible assemblies without sanding, and implementing a linear assignment problem to assign parts that minimize total defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual sanding is performed to correct production defects, then assembly feasibility is improved, but mechanical performance is degraded and time is increased
Solution Approach 1:
The patent performs preliminary actions by measuring geometric characteristics of parts before assembly and using predictive models to estimate defect indicators. This allows identification of parts that can be assembled without sanding, preventing the need for subsequent machining operations that would degrade mechanical performance.
Solution Approach 2:
The patent replaces the mechanical sanding process with a computational approach using predictive models and optimization algorithms. By calculating defect indicators and optimizing part pairing, the system substitutes manual machining with automated selection, eliminating material removal and preserving mechanical integrity.
2Ease of manufacture
If manual sanding is performed to correct production defects, then assembly feasibility is improved, but production time is increased
Solution Approach 1:
The patent performs preliminary measurements of geometric characteristics and predictive estimations of defect indicators before assembly. This advance preparation enables direct assembly without time-consuming sanding operations, significantly reducing production time while ensuring assembly feasibility.
Solution Approach 2:
The patent substitutes the time-consuming manual sanding process with automated computational methods including predictive models and optimization algorithms. This replacement eliminates the need for iterative trial-and-error sanding, dramatically reducing production time.
3Device complexity
If parts are selected without optimization, then assembly process is simple, but machining operations are required to enable assembly
Solution Approach 1:
The patent implements a self-service system where the optimization algorithm automatically selects part pairs with minimal defect indicators. The system uses measured geometric characteristics and predictive models to autonomously identify compatible parts, eliminating the need for manual intervention or complex trial-and-error assembly processes.
Solution Approach 2:
The patent replaces manual part selection and assembly trial-and-error processes with automated computational optimization. The system uses algorithms to calculate defect indicators and determine optimal part pairings, substituting human judgment and manual adjustment with automated intelligent selection.
4Ease of manufacture
If sanding is performed to correct production anomalies, then assembly possibility is improved, but material is removed and quality is degraded
Solution Approach 1:
The patent performs preliminary measurements and predictive estimations to identify parts with compatible geometric characteristics before assembly. By selecting parts with low defect indicators, the system ensures high assembly quality without requiring material removal through sanding, thus preserving manufacturing precision.
Solution Approach 2:
The patent substitutes the material-removing sanding process with a selection-based approach using predictive models. By calculating defect indicators and optimizing part pairing computationally, the system achieves high assembly quality without physical material removal, maintaining original part dimensions and surface integrity.
Data Source
Figure 1
AI summary
The invention relates to a method for assembling parts (A, B) chosen respectively among a plurality of first parts and a plurality of second parts. The method comprises: - for each first part and each second part among the plurality of first parts and the plurality of second parts, estimating (CST) a defectiveness indicator of the assembly of the first part with the second part;- for a batch of N assemblies to be produced, assigning (AFF) N first parts among the plurality of first parts to N second parts among the plurality of second parts, in order to constitute N pairs ({Ai, Bj}) of a first part and a second part, said assignment being carried out so that said N pairs minimise a total assembly defectiveness. Application to the assembly of a blade and a leading edge reinforcement.