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Modern requirements for footwear quality and cost-effectiveness necessitate the adoption of microprocessor-controlled semi-automatic sewing machines. However, their implementation is limited by low precision in stitching lines. The problem lies in cumulative errors of traditional technology, where stitching contours, fixtures, and control programs are designed from separate drawings without accounting for actual contours of cut parts. The objective of this study is to develop a fundamentally new technological approach ensuring high reproducibility of stitching lines. Mathematical modelling, optical scanning with shadow distortion correction, and statistical error distribution analysis were employed. The principle of reference independence was proposed, whereby the vector contour of a reference (cardboard template cut by the same cutter as the parts) becomes the sole data source for fixture design and control program generation. A mathematical model of total stitching error was developed using the Monte Carlo method, and the effectiveness of the proposed approach was experimentally confirmed. The dispersion range of stitching positioning error was reduced from ±1.68 mm to ±0.17 mm. Results are applicable in the footwear industry and other sectors requiring precise assembly of complex contour parts. The
proposed approach establishes a new paradigm of automated manufacturing that eliminates error accumulation and ensures compliance with technological requirements.
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Buyevich, А. E. Method for Generating Control Programs for Microprocessor-Controlled Sewing Semiautomatic Machines Based on the Principle of Referential Independence / А. E. Buyevich, Т. V. Buyevich // Materials and Technologies. – 2025. – № 2 (16). – P. 32–40. – DOI 10.24412/2617-149X-10.24412/2617-149X-2025-2-32-40.
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11.12.2025