Processing Machinery
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Black core/yellow core (carbonization from excessive heat release)
Problem Phenomenon
Black-brown carbonized areas appear in the core of thick foam products, and spontaneous combustion occurs in severe cases.
This problem is relatively common in foam molding production and requires comprehensive analysis and solution from multiple aspects of materials, processes, and equipment.
Cause Analysis
(1) Temperature parameter aspect: PU foaming reaction heat release is concentrated and temperature exceeds 200°C triggering thermal degradation; temperature deviation directly affects the physicochemical state and reaction progress of the material.
(2) Material aspect: fluctuations in raw material performance indicators or insufficient pretreatment affect molding quality.
(3) Process aspect: control deviations of key process parameters cause the '2079851475616104453 to deviate from optimal conditions.
(4) Equipment aspect: equipment precision and maintenance status affect the stable execution of process parameters.
Solution
(1) Implementation measures: limit single-pour thickness; formulate specific operation plans based on actual production conditions and verify implementation effects.
(2) Formulation adjustment: reduce catalyst and water dosage to reduce heat release, adjust gradually and verify the effect, ensuring that other performance indicators of the product are not affected.
(3) Material selection: use polyol types with less heat release; establish material selection evaluation standards and determine the optimal solution through comparative tests.
(4) Implementation measures: forced heat dissipation after product demolding., formulate specific operation plans based on actual production conditions and verify implementation effects.
(5) Preventive measures: establish a sound process control standard and quality inspection system, and regularly review process data for continuous optimization.
Key Takeaway
This problem requires comprehensive analysis from multiple dimensions of materials, processes, equipment, and operation, and should be solved by systematically optimizing process parameters and the quality control system.
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