The use of dust filter bag

Dust filter bag is the core component of industrial dust removal system, mainly used to capture and separate dust particles in the air, to ensure the production environment clean and efficient operation of equipment. The following are typical application scenarios and key advantages:

1. Application field
Steel/Metallurgy: electric furnace, blast furnace dust removal, capture metal oxide dust
Chemical: reaction kettle tail gas treatment, filter catalyst powder
Electricity: coal-fired boiler flue gas treatment, to achieve PM2.5 emission standards
Building materials: cement kiln tail dust removal, control particulate emission concentration
Food and medicine: sterile workshop air purification, to ensure the cleanliness of the production environment
2. Core strengths
High efficiency filtration: Using needle felt/film coating process, filtration efficiency of 99.99%
Energy saving and consumption reduction: stable air permeability, reduce the system operating resistance
High temperature resistance: can withstand 260℃ continuous operation (such as glass fiber material)
Long life design: corrosion resistance, wear resistance, life of 2-4 years
Environmental protection features: Support dust recycling, meet the requirements of carbon neutrality
3. Select recommendations
Choose the material according to the working condition: such as PPS for sulfur-containing smoke, PTFE for strong acid environment
Attention to filtration accuracy: sub-micron dust needs to select microporous membrane composite filter material
Matching cleaning method: It is recommended to select filter material with strong folding resistance in pulse cleaning system
4. Maintain key points
Check the damage regularly to avoid powder leakage affecting the system efficiency
Control inlet dust concentration, prolong service life
Clean up the residual dust in time during shutdown to prevent compaction
Modern industrial dust removal systems are developing intelligentiously, some filter bags have integrated pressure sensors, which can monitor the filter status in real time, and optimize the cleaning cycle with AI algorithms to further improve operating efficiency.