Stress Whitening in Epoxy Cast Products

White stress marks appear on the test product at stressed or bent parts. This problem is relatively common in casting molding production and requires comprehensive analysis and solution from multiple aspects of materials, processes, and equipment.

(1) In terms of temperature parameters: the formula crosslink density is too high or the curing temperature is too high, limiting molecular chain mobility, it may cause thermal degradation of the material or loss of control of the reaction rate, destroying the internal structure of the product. (2) In terms of stress distribution: excessive internal stress in the product, internal stress concentration causes the product to crack or deform during subsequent use. (3) In terms of materials: fluctuations in raw material performance indicators or insufficient pretreatment affect molding quality. (4) In terms of the process: control deviations of key process parameters cause the '2079851475616104453 to deviate from optimal conditions. (5) In terms of equipment: equipment precision and maintenance status affect the stable execution of process parameters.

(1) Parameter adjustment: reduce the curing temperature or the amount of curing agent, note that after temperature reduction, it is still necessary to ensure that the material fully reacts or melts; adjust step by step and observe the effect. (2) Formula optimization: add toughening agents, determine the optimal addition amount through small-batch tests and verify its impact on the comprehensive performance of the product. (3) Implementation measures: avoid stress concentration positions in product design., formulate a specific operation plan based on actual production conditions and verify the implementation effect. (4) Preventive measures: establish a complete process control standard and quality inspection system, and regularly review process data for continuous optimization.

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.