Seam Performance Evaluation in Textile Manufacturing

Seams are fundamental to garment integrity, joining fabric panels while influencing both the aesthetic and functional qualities of textile products. Seam performance evaluation encompasses a range of properties—seam strength, seam slippage, seam puckering, seam efficiency and thread consumption—that determine how well a seam withstands applied forces, maintains dimensional stability and upholds wearer comfort. Traditional assessment relies on mechanical tensile tests and visual inspection, yet contemporary research has expanded into computational modelling, artificial-intelligence-based prediction and automated sewing systems. These methods permit rapid optimisation of stitch parameters, thread types and sewing conditions for diverse materials, from denim and knits to high-performance and medical textiles. Globally, improved seam performance reduces product failure, lowers manufacturing waste and contributes to sustainable production by ensuring that garments meet rigorous quality standards throughout their lifecycle.

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Research from all publishers

Artificial-neural-network-based models have been developed to predict seam strength in complex garment structures such as five-pocket denim jeans. By incorporating key variables—stitch density, fabric mass per unit area, thread linear density and stitch class—these systems learn intricate patterns in large datasets, yielding highly accurate strength predictions. Such models facilitate rapid design iteration and thread selection without resorting solely to experimental trial and error.

In weft-knitted cotton apparel, experimental analyses have examined how fabric structure, sewing thread type and stitch class affect seam strength, slippage, puckering and efficiency. Studies demonstrate that core-spun polyester threads outperform simple filament yarns in resisting seam slippage, while certain stitch classes deliver higher seam efficiency. Fabric geometry and mechanical properties interact with needle size and thread tension, underlining the need for holistic process control to achieve optimal seam quality across jersey, rib and interlock knit constructions.

The establishment of automated sewing processes attuned to textile properties marks a further advance. By integrating automatic feeding systems and parameter templates, researchers have correlated presser-foot height, sewing speed and fabric surface characteristics with seam strength and sewability. Regression equations derived from these findings allow manufacturers to set machine parameters that maximise seam durability and consistency, thereby supporting the transition to smart-factory environments where real-time adjustments ensure uniform stitch formation across diverse material batches.

Seam Performance Evaluation in Textile Manufacturing publication trend

The graph below shows the total number of articles in seam performance evaluation in textile manufacturing across all publications each year (not limited to Nature Index journals).

Technical terms

Seam strength: The maximum force a seam can withstand before rupture under tensile loading.

Seam efficiency: The ratio of seam strength to the strength of the unsewn fabric, expressed as a percentage.

Stitch density: The number of stitches per unit length of seam, influencing both seam strength and appearance.

Sewability: A measure of how readily a textile can be stitched under given machine settings, often quantified by stitch quality and uniformity.

References

1. Artificial-Neural-Network-Based Predicted Model for Seam Strength of Five-Pocket Denim Jeans: A Review. Textiles (2024).
2. Experimental analysis on the effect of fabric structures and seam performance characteristics of weft knitted cotton apparels. Journal of Engineered Fibers and Fabrics (2022).
3. A Basic Study on Establishing the Automatic Sewing Process According to Textile Properties. Processes (2021).