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Fig. 1—Conventional mold-filling software modified for the MuCell process enabled this prototype automotive sunroof opening frame to beat the estimated cycle time, eliminate flash, and meet all OEM quality specs with minimal mold modifications after the first parts were tested.
Fig. 2—Initial mold-filling simulation revealed an unbalanced fill pattern on a mold designed with four valve gates (red arrows), resulting in some areas between gates filling much sooner than others.
Fig. 3—Another issue with the four-gate design was that knit lines ended on or near mounting holes, causing a weak area at a highly stressed point.
While mold-filling simulation is a very common tool for predicting the fill patterns of an injection mold, in our judgment there is not yet a commercially available, satisfactory filling simulation for microcellular foam molding. Trexel has seen a need for this process with the growing range of applications of its MuCell microcellular foam molding process—especially in more complex, structural parts for automotive and other durable-goods markets. (See sidebar for an explanation of the MuCell process.) Recently, Trexel engineers developed a methodology and techniques for using the standard mold-filling simulations to predict fill patterns and estimate weight reductions. As a result, it is now possible to adapt the standard mold-filling simulation programs to provide useful guidance when designing a mold for the MuCell process.
Please be aware that the MuCell-adapted simulation procedure described below concerns only the filling characteristics and does not involve other aspects of these software packages, such as cooling and warpage predictions.
Here are the basic modifications for simulating the MuCell process with standard mold-filling software:
When running a mold-filling simulation for the MuCell process, the goal is to determine the types of conditions that can limit weight reduction in the part, and then remove them. The most common issues are high flow-length/wall-thickness ratio, unbalanced fill, gas traps, and lack of appropriate venting. We have seen many instances where an unbalanced flow or a blind pocket standoff forced the use of higher-than-desired injection pressure to completely fill the part. Consequently, a part that would have easily achieved a 10% weight reduction was now limited to only 4% because of a small oversight in the mold-filling simulation that could have easily and inexpensively been corrected if it was caught in the design phase.
When evaluating the results of the fill simulation, consider the following:
We put these principles to the test on the Inalfa sunroof frame for the Cadillac CTS (Fig. 1). Inalfa’s goals for this project from the customer were well defined: 1) very tight dimensional tolerances; 2) flatness, which is critical to the fit and smooth movement of the sunroof glass and sunroof shade; 3) proper knit-line locations to maintain structural integrity; and 4) maintaining proper alignment and preventing damage to the hollow overmolded tubes.
The goals of the molder were threefold: 1) minimize the cost and complexity of the hot-runner system; 2) determine the optimal gate number and locations to eliminate the need for valve-gate sequencing during injection; and 3) keep mold iterations as few as possible to meet tight timing on first approved parts and achieve all of the customer goals.
Trexel’s objectives were: 1) keep the fill pressures low to allow for proper MuCell expansion and benefits; 2) balance the mold filling and keep the polymer fill pattern uniform; 3) keep the part thickness uniform to facilitate faster cycle times; and 4) eliminate any possible gas traps by adjusting the fill pattern before steel was cut.
Taking into consideration each of these requirements, the first step was for all the teams involved to review the preliminary part design for issues related to tooling, part thickness, and moldability. Once the preliminary design was close, the CAD files were sent out to have flow analysis run on a four-gate design. Initial flow data on the four-gate design showed three major problems.
The first was that the pressures to fill would exceed 10,000 psi polymer pressure, too high to achieve adequate density reduction. This is particularly critical for reducing orientation of glass fibers. The second was an unbalanced fill pattern that resulted in some areas of the mold between gates filling much sooner than others, as can be seen in Fig. 2. The third was the issue of the location of the knit lines (Fig. 3) ending on or near mounting holes, causing a weak area at a highly stressed point.
When the five-gate model (Fig. 4) was developed, many of the problems that were seen in the four-gate version were eliminated. The fill pressures decreased to about 8000 psi and the weld lines between the gates all tended to come together at the same time, reducing overpack areas that would limit foaming. The team determined that the modest additions in cost and complexity for the hot runner system for the five-gate design were well offset by the benefits.
After the first shots off the tool were measured, the part was far closer to meeting the print than expected, and the tooling required few changes. Cycles were less than the molder quoted, while the parts still met or exceeded the customer’s quality standards. The lower injection pressure of the optimized MuCell design delivered the added benefit of eliminating flash around all the metal inserts.
Work has not been done to validate the cooling and warpage components of the simulation software. Standard cooling recommendations for the MuCell process should be used.
Levi Kishbaugh is v.p. engineering for Trexel Inc., Woburn, Mass. Scott Powers is the technical development manager in Rockford, Mich. Trexel is an employee-owned company specializing in development and commercialization of microcellular foamed processes for plastics. Contact: (781) 932-0202 • trexel.com.
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