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How to Test Non Woven Fusible Interlining Before Bulk Orders

12 hours ago
2 min read

Testing non woven fusible interlining before placing a bulk order helps garment manufacturers confirm that the selected grade works with their production fabric. A sample test can reveal problems that may not be obvious from a specification sheet, including uneven bonding, excessive stiffness and changes to the outer fabric's appearance. It is a practical step before committing large quantities of material to a production run.

Begin by preparing samples from the actual outer fabric and the proposed interlining. Use the same material colour, finish and weight planned for production wherever possible. Follow the supplier's recommended fusing temperature, pressure and application time, using the equipment intended for the manufacturing process. Once fused, allow the sample to cool completely before handling it. This provides a more reliable basis for assessing adhesion and the finished appearance.

Next, inspect the sample carefully. Look for bubbles, puckering, rippling, edge lifting or visible adhesive marks. Check whether the outer fabric's texture and sheen have changed and whether the fused piece feels too stiff or too soft for the intended garment component. Gently flex the sample and assess whether the layers remain bonded evenly. Where relevant, test the fused piece in a collar, cuff, placket or pocket section to evaluate the result in its actual construction.

Repeat the test whenever the fabric specification or interlining grade changes. If several grades are being compared, use a consistent testing method so the results can be assessed fairly. When buying non woven interlining fabric in bulk, retain the approved sample and document the selected product and fusing settings. Double Ghoda supplies non-woven interlining grades for garment applications, and buyers should confirm the specifications of their chosen option before ordering. A repeatable testing process helps manufacturers make decisions based on actual performance rather than assumptions.

 
 
 

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