Injection Molding
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Shrinkage prediction of PP '2079851475616104452
Problem Phenomenon
After new mold trial, the dimensions deviate greatly from expectations, requiring repeated mold corrections.
Cause Analysis
The PP shrinkage rate is affected by multiple factors such as wall thickness, gate, and process, and experience-based scaling has large errors; modern methods use regression models or CAE to predict shrinkage.; during on-site investigation, verify item by item according to this mechanism to avoid blindly adjusting the machine based only on experience
Solution
①Use CAE mold flow analysis to predict shrinkage and warpage; ②refer to the shrinkage prediction data of regression models; ③precisely correct the mold after actual measurement in mold trials; ④establish a material shrinkage database.
Key Takeaway
Shrinkage prediction moves from experience to data-based methods; mold flow analysis plus actual measurement feedback can greatly reduce the number of mold corrections.; after confirming effectiveness, solidify the parameters and practices into the work instruction to prevent recurrence
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