Processing Machinery
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Low pass rate of flame-retardant flexible foam in "CIGARETTE TEST"
Problem Phenomenon
Flame-retardant flexible foam cannot pass the cigarette ignition test.
This problem is relatively common in foam molding production and requires comprehensive analysis and solution from multiple aspects of material, process, and equipment.
Cause Analysis
(1) Process factor: The flame retardant migrates to the surface and is lost by volatilization, This factor affects the '2079851475616104453 and final quality of the product.
(2) Process factor: The high open-cell rate of foam makes oxygen easily permeate to the combustion zone, This factor affects the '2079851475616104453 and final quality of the product.
(3) Material aspect: Fluctuations in raw material performance indicators or insufficient pretreatment affect molding quality.
(4) Process aspect: Control deviation of key process parameters causes the '2079851475616104453 to deviate from optimal conditions.
(5) Equipment aspect: Equipment precision and maintenance status affect the stable execution of process parameters.
Solution
(1) Material selection: Use reactive flame retardants bonded to the polymer main chain to prevent migration, Establish material selection evaluation criteria, and determine the optimal solution through comparative tests.
(2) Formulation adjustment: Increase foam density to reduce oxygen permeation, Adjust gradually and verify the effect, ensuring that other performance indicators of the product are not affected.
(3) Formulation optimization: Add a char-forming agent to form a protective layer., Determine the optimal addition amount through small-batch tests, and verify the effect on the overall performance of the product.
(4) Preventive measure: Establish sound process control standards and a quality inspection system, and regularly review process data for continuous optimization.
Key Takeaway
This problem requires comprehensive analysis from multiple dimensions of material, process, equipment, and operation, and should be solved by systematically optimizing process parameters and the quality control system.
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