The difference between ultra-clean fabrics and ordinary anti-static fabrics in anti-static clothing

Anti-static and ultra-clean fabrics differ from regular anti-static fabrics in the concept of "cleanliness." Anti-static clean fabric must meet three key criteria:

1. It must have effective anti-static properties. Static electricity can attract dust, and once dust is attracted, it's hard to remove through air movement or simple blowing. Therefore, the primary feature of anti-static clean fabric is its ability to resist static buildup. Moreover, this anti-static effect should be long-lasting, efficient, and not significantly reduced by washing or friction over time.

2. The fabric itself should not generate dust. Since these materials are used in cleanrooms, they must not become a source of contamination. This means that ultra-clean fabrics are typically made from chemically synthesized long fibers. Natural short fibers like cotton, hemp, or silk, although more visually appealing, are unsuitable for ultra-clean environments. Additionally, the selected synthetic fibers must be carefully controlled to minimize dust generation. For example, fully stretched polyester filaments are often avoided because the addition of matting agents, such as titanium dioxide, can introduce impurities into the environment.

3. The fabric should offer good dust filtration. In a cleanroom, most dust comes from airborne particles and human movement. Once equipment conditions are fixed, improving cleanliness involves controlling the tiny particles released by the wearer’s clothing and allowing them to pass through the fabric into the air. This is known as the fabric's dust filtration efficiency. However, increasing filtration efficiency often comes at the cost of reduced breathability, which makes loosely woven fabrics, such as knits or loosely woven weaves, unsuitable for use in cleanrooms.

Choosing the right fabric for a cleanroom environment is crucial for maintaining high standards of cleanliness and ensuring optimal performance in sensitive areas like laboratories, pharmaceuticals, and semiconductor manufacturing.

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