Automated Junction Line Generation for Elastic Shoe Components
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Solution Overview
Problem
Current shoemaking technologies face challenges in accurately scanning elastic components with curved surfaces, leading to blind spots and incomplete digital models, which hinder automated and real-time production processes, particularly in generating precise bite lines for shoe assembly.
Innovation Solution
A junction line data generation method and system that uses an image capturing device and processor to scan and process three-dimensional modeling data of elastic components, simulate their structures, and generate junction line data by deforming these structures to ensure accurate attachment and alignment, thereby overcoming the limitations of existing scanning technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If laser light is used for scanning the shoe model along one axial direction, then the scanning process is simple and fast, but blind spots are unavoidable and detailed structures of elastic components cannot be captured
Solution Approach 1:
The patent transitions from one-dimensional linear scanning to multi-dimensional scanning by introducing rotational movement. The scanning machine rotates around the shoe model while the laser scanner captures data from multiple angles, converting a single-axis scanning approach into a three-dimensional scanning system that eliminates blind spots and captures complete surface geometry of elastic components.
2Productivity
If the digital model lacks detailed structure, then the scanning process is faster, but additional workloads are introduced for manual bite line generation
Solution Approach 1:
The system enables self-service by implementing automated bite line generation through computer processing. The computer automatically identifies elastic components in the three-dimensional digital model and generates bite lines without requiring manual comparison with sample models or templates, thereby eliminating additional workloads while maintaining high scanning efficiency.
3Reliability
If maximum likelihood approach is used for mapping to correct model, then model identification is achieved, but the process is not real-time and requires multiple sample comparisons
Solution Approach 1:
The patent applies preliminary action by pre-storing multiple sample models and templates in the computer's memory before the scanning process. During scanning, the system immediately compares the captured three-dimensional data against these pre-loaded samples using automated algorithms, enabling real-time model identification without requiring sequential manual comparison or post-processing delays.
4Extent of automation
If automated production process is applied, then labor costs are reduced, but accurate junction line data is difficult to obtain for elastic components
Solution Approach 1:
The system employs parameter changes by dynamically adjusting scanning parameters such as laser angle, rotation speed, and data sampling frequency based on the detected geometry of elastic components. The computer processes the three-dimensional data with variable parameters to accurately capture curved surfaces and generate precise junction line data, maintaining high manufacturing precision while operating in fully automated mode.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables automated and efficient production processes by generating accurate junction line data for attaching shoe upper and sole components, reducing labor costs and human errors, and optimizing the shoemaking process without the need for comparative mapping to sample models.
Implementation Method 1
scanning a first junction component and a second junction component by using an image capturing device for generating three-dimensional first junction component modeling data
Data Source
AI summary
A junction line data generation method includes scanning a first junction component and a second junction component by using an image capturing device for generating three-dimensional first junction component modeling data of the first junction component and generating three-dimensional second junction component modeling data of the second junction component, simulating a first junction component structure by using the three-dimensional first junction component modeling data, simulating a second junction component structure by using the three-dimensional second junction component modeling data, and generating junction line data between the first junction component and the second junction component by optionally deforming the first junction component structure and/or the second junction component structure according to the first junction component structure and the second junction component structure.