Study on the Effect of CRIMS Data on Warpage Simulation and the Possibility of Using Supplemental Data

This class has two parts. First, we will review a study on using corrected residual in-molded stress (CRIMS) data to predict warpage. In this study, we selected five parts of increasing complexity and material flow path. We simulated five different materials with various process parameters. From the simulated data, we selected high-warp scenarios for molding and warpage and compared the results with CRIMS and without CRIMS. The study showed the importance and effect of warpage. Statistically, we found that using CRIMS to predict warpage showed a 10 times better probability of being accurate and a 29% improvement in accuracy. Next, we will look at using supplemental data. CRIMS data is specifically measured/generated by Autodesk® Simulation Moldflow® software by molding trails. The test method is expensive. Therefore, for selected materials, we can supplement CRIMS with equivalent material in the existing Moldflow data base. The experiment shows the effectiveness of method.