一, Test system construction: reliability management covering the entire lifecycle
1. Design phase: Preventive testing first
In the mold design stage, it is necessary to simulate the flow state of plastic melt in the mold cavity through Moldflow analysis, and predict defects such as shrinkage, bubbles, and weld lines. For example, a certain car interior mold found through mold flow analysis that the original gate position caused flow marks on the surface of the product, and the defect rate decreased from 12% to 0.3% after adjustment. In addition, it is necessary to verify the structural strength of the mold and use finite element analysis (FEA) to simulate the stress distribution under high-pressure injection molding, ensuring that the template thickness and rib layout meet the requirements of the locking force.
2. Manufacturing stage: Process capability verification
Statistical Process Control (SPC) must be implemented during the manufacturing process to monitor critical dimensions such as cavity depth and parting surface clearance in real-time. A certain electronic connector mold continuously collected 30 sets of sample data using a coordinate measuring machine (CMM), and calculated a CPK value of 1.67, proving the stability of the process. At the same time, it is necessary to test the heat treatment effect of the material and use a hardness tester to verify whether the hardness of the mold steel meets the HRC50-60 standard, in order to avoid early wear caused by insufficient hardness.
3. Trial stage: Multi dimensional performance evaluation
Trial molding is the core step in verifying the reliability of molds, and testing needs to be conducted from the following dimensions:
Functional testing: Check whether the moving parts such as the ejector mechanism, slider, and core pulling are smooth, and control the ejector force within the range of 50-200N to avoid mold sticking or product deformation.
Cooling efficiency test: The surface temperature distribution of the mold is detected by an infrared thermal imager to ensure that the flow rate of the cooling water channel reaches 1-2m/s, and the cooling time accounts for 30% -50% of the molding cycle. After optimizing the cooling system of a certain household appliance shell mold, the production efficiency increased by 25%.
Injection cycle testing: Record the full cycle time from mold closing to mold opening to verify whether it meets production capacity requirements. For example, a certain daily chemical packaging mold has shortened the injection molding cycle from 18 seconds to 12 seconds by optimizing the flow channel design.
二, Key testing method: reliability verification from micro to macro level
1. Dimensional accuracy testing: Three coordinate measurement and laser scanning
Coordinate Measuring Machine (CMM): Suitable for detecting critical dimensions such as complex surfaces and hole positions, with an accuracy of ± 0.001mm. A medical device mold was found to have a core size deviation exceeding 0.02mm through CMM testing. After correction, the product assembly qualification rate increased from 85% to 99%.
Laser 3D scanning: Full size inspection of large molds (such as car bumper molds), with an efficiency improvement of 50% compared to traditional methods. A certain automobile manufacturer uses a portable laser scanner to complete mold wear analysis on site in the workshop, shortening the maintenance cycle by 3 days.
2. Material performance testing: hardness and metallographic analysis
Hardness testing: Use a Rockwell hardness tester to test the hardness of mold steel to ensure wear resistance. For example, a certain mobile phone shell mold suffered from cavity wear due to insufficient hardness. By nitriding treatment, the hardness was increased from HRC48 to HRC58, extending the lifespan by three times.
Metallographic microscope: Analyze material structure and verify heat treatment process. A certain precision gear mold was found through metallographic examination that insufficient tempering caused embrittlement of the martensitic structure. After adjusting the process, the impact resistance was improved by 40%.
3. Environmental adaptability test: Simulate actual working conditions
Salt spray test: for electroplated molds, verify their corrosion resistance performance. A certain outdoor lighting fixture mold passed a 48 hour salt spray test, with no bubbles or peeling on the surface, meeting the IP65 protection level requirements.
Damp heat test: Test the sealing of the mold in an environment of 60 ℃ and 95% RH to ensure that there is no leakage in the cooling system. A hydraulic mold was found to have leakage due to improper selection of sealing ring materials during this test, and the reliability was significantly improved after replacement.
三, Data driven optimization: closed-loop management from testing to mass production
1. Visualization of test data
Integrate test data through MES system to generate visual reports such as CPK trend chart and defect distribution heatmap. A certain home appliance manufacturer used a big data platform to analyze historical test data of molds and found that the failure rate of a certain model of mold was strongly correlated with injection temperature fluctuations. After optimizing the temperature control system, the failure rate decreased by 60%.
2. Failure Mode Analysis (FMEA)
Conduct root cause analysis on defects discovered during testing and develop improvement measures. For example, a white top defect occurred during the trial molding of a connector mold, and the cause was determined to be too fast ejection speed through FMEA. After adjustment, the defect was eliminated.
3. Verification 30 days before mass production
Conduct a continuous 30 day running test before mass production to monitor the wear of various moving parts of the mold, such as the ejector pin and slider. A certain daily chemical packaging mold found through this test that the limit switch of the ejector pin plate failed, causing the ejector pin to break. After optimizing the design, zero failure mass production was achieved.
Sep 11, 2025
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