Processing Machinery
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Co-occurrence of "over-sintered edges and under-sintered core" in UHMWPE sintering
Problem Phenomenon
The edges of the same product are already oxidized and yellowed while the core is still not fully sintered.
This problem is relatively common in sintering molding production and requires comprehensive analysis and solution from multiple aspects of material, process, and equipment.
Cause Analysis
(1) Process factor: The product has a large cross-section, This factor affects the '2079851475616104453 and final quality of the product.
(2) Process factor: Heat conduction bottleneck: edges absorb heat and heat up quickly while the core absorbs heat slowly, 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) Process optimization: Greatly extend the slow heating stage time so that the internal-external temperature difference is not too large, Determine a reasonable time according to product wall thickness and material characteristics, balancing production efficiency and quality.
(2) Design optimization: Improve airflow circulation in the sintering furnace to uniform the temperature field., Combine process simulation analysis or mold trial verification to continuously iterate and improve the design solution.
(3) Process optimization: Determine the optimal process parameter window through systematic tests and establish standardized operating procedures.
(4) Quality control: Strengthen process monitoring and product inspection, Establish a defect early-warning and traceability mechanism.
(5) 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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