Conducting a Tissue Paper Quality Test

<br> <br>Conducting a tissue paper test is an essential step before making a final purchase or accepting a delivery of tissue paper for various applications such as packaging, hygiene products, or craft materials. The test helps in evaluating the properties and quality of the tissue paper, which is crucial for meeting specific requirements for pleasing appearance. Here's a step-by-step guide on how to conduct a tissue paper test. <br> <br>Equipment Needed <br> Tissue paper to be tested (at least 10 sheets) Tissue paper testing machine (preferably automatic or manual strength tester, though alternative methods can also work) Standard tensile tester Stopwatch or timer Thermometer (for testing the thermal values of hot and cold) Pen or pencil Measuring tape Stopwatch or timer (optional for duplicate testing) Testing Parameters Pull Force Shear Force Time to Tear Rattan Density Initial Rate of Tense Moistening Discoloration Testing Method 1. Tensile Strength: Take a 10 x 10 cm paper sample and attach it to the testing machine. Set the range from 50 - 150 N force and record the peak force. 2. Shear Force: Take a 10 x 10 cm paper sample and divide it into two equal pieces. Manually slowly tear the sample pieces, recording the force using a stop watch. 3. Dashing Time: Tear 10 x 10 cm paper into two pieces in your hands manually. Record the exact figure via a measuring device. 4. Sheet Pressure: Fold paper sheets under manual pressure and measure the amount of force until the desired measurement is obtained. 5. Tensile Stress: Determine the tensile stress using a g-force meter on a 10-sheet sample. Record the exact measurement values. 6. Water Absorbency: Immerse 0.5 cm of tissue paper in plain water at ambient for one minute. Document the time on a timer. 7. Discoloration: Simulate a weak chemical mixture by immersing tissue paper <a href="http://cntrbulk.com/bbs/board.php?bo_table=free&wr_id=4822668">HRT roll manufacturer in Mumbai</a> a suitable concentration for 60-100 minutes. Compare the measured values.