Electrostatic adsorption of powder during cold pressing causes inaccurate filling

Powder adheres to the mold or hopper wall due to electrostatic adsorption during feeding. This problem is relatively common in sintering molding production and requires comprehensive analysis and solution from multiple aspects of material, process, and equipment.

(1) Raw material characteristic aspect: Low-conductivity powders such as PTFE generate static electricity through friction, The physical characteristics of the powder directly affect preforming and sintering quality. (2) Environmental condition aspect: Static electricity is particularly severe in dry environments, The production environment affects the stability of materials and processes. (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.

(1) Formulation optimization: Apply anti-static treatment to the powder (adding antistatic agents or humidity adjustment), Determine the optimal addition amount through small-batch tests, and verify the effect on the overall performance of the product. (2) Implementation measure: Ensure good grounding of the mold and hopper, Develop a specific operation plan based on actual production conditions, and verify the implementation effect. (3) Implementation measure: Maintain ambient humidity at 40-60%., Develop a specific operation plan based on actual production conditions, and verify the implementation effect. (4) Preventive measure: Establish sound process control standards and a quality inspection system, and regularly review process data for continuous optimization.

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.