Proportional Grading for Sewing Control Data Generation
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Solution Overview
Problem
Existing sewing machine technologies fail to adapt seam section lengths effectively across different clothing sizes, relying on constant absolute size differences that do not accurately reflect the proportional needs of varying garment sizes.
Innovation Solution
A method for generating sewing control data using an overall grading value as a proportionality factor, allowing for proportional adjustment of seam sections based on clothing size, with optional additional grading values to further refine adjustments across multiple size ranges, eliminating the need for manual entry of seam section lengths and enabling automatic generation of sewing control data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If constant absolute size differences are used for seam sections across different clothing sizes, then the sewing control data can be generated simply, but the adaptation accuracy to different clothing sizes deteriorates
Solution Approach 1:
The patent changes the parameter from constant absolute size differences to variable proportional differences based on grading values. Each seam section is assigned a grading value that determines its extension proportion relative to the basic size, allowing the seam section lengths to scale proportionally with clothing size while maintaining accurate adaptation through the formula: extended seam section length = basic size seam section length × (1 + grading value)
2Manufacturing precision
If manual entry of size-dependent seam section lengths is performed, then the sewing control data can be precisely adjusted, but the operator burden increases
Solution Approach 1:
The system performs self-service by automatically generating sewing control data for all clothing sizes based on the basic size data and predefined grading values. The control unit calculates the extended seam section lengths for each clothing size using the grading values without requiring manual intervention, thereby eliminating the operator burden of manually entering size-dependent data while maintaining precision through the automated calculation process
3Manufacturing precision
If grading data is entered in preparation for sewing, then the sewing control data can be accurately prepared, but the preparatory work time increases
Solution Approach 1:
The patent implements preliminary action by pre-defining grading values for each seam section that represent the proportional extension ratios for different clothing sizes. These grading values are established in advance and stored in the system, allowing the automated generation of accurate sewing control data for any clothing size without requiring time-consuming manual entry or preparation of grading data for each sewing task
Data Source
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AI summary
When generating sewing control data for a garment-size-dependent sewing program, in which a seam with multiple consecutive seam segments (a1/a2, b1/b2, c1/c2, d1/d2, ...) is sewn, a base size is first selected. Sewing control data is generated for the base size, including the lengths of the seam segments (a1/a2, b1/b2, cl/c2, dl/d2, ...). For the other garment sizes, which differ from the base size, sewing control data is generated by specifying an overall gradation value by which the entire seam lengthens for successive garment sizes. Depending on the overall grading value, section grading values or extension proportions are specified, by which at least some seam sections (a1/a2, b1/b2, c1/c2, dl/d2, ...) are lengthened in the successive clothing sizes.This results in a production process through which the sewing control data is better adapted to the different clothing sizes.