Cray/Media: Mardi Larson, 612/683-3538 Cray/Financial: Brad Allen, 612/683-7395 CRAY RESEARCH ANNOUNCES REVOLUTIONARY NEW SOFTWARE TOOL FOR PLASTICS, AUTOMOTIVE AND ASSOCIATED INDUSTRIES New Product Engineered In Cooperation With General Motors Research & Development Center DETROIT, Nov. 15, 1995 -- At the Society of Manufacturing Engineers (SME) AutoFact 94 conference held here this week, supercomputer leader Cray Research, Inc. announced a significant new software product that it said could revolutionize the way leading-edge plastics manufacturing is done in the plastics, automotive and plastic-associated industries, the company said. The new software, Cray Molding Logic (CMLogic) 2.0, was engineered in cooperation with General Motors Research & Development, Cray Research said. Company officials said that CMLogic software predicts optimal manufacturing solutions for plastic injection molding processes. It is expected to reduce the costs associated with plastic injection molding manufacturing, help speed production of plastic parts and components, and result in higher quality products. These new capabilities, the company said, will be attractive to many industries that manufacture plastics goods, especially the automotive industry, where today more than 50 percent of the end products is made of plastic and high performing polymers. The new product combines supercomputing with classic design-of-experiment methodology and industry-standard plastic injection molding simulation programs for an automated, predictive solution offered only on Cray Research supercomputers. In its prototype stage earlier this year, CMLogic was used by several industrial companies to predict the molding process setups for a variety of plastic parts including a new cellular phone housing unit, an automotive engine manifold, and an automotive instrument panel bezel, according to Mike Obermier, a Cray Research polymer processing specialist and head of the CMLogic development team. Using CMLogic on Cray supercomputers, manufacturers can save months in time-to-market because they can predict a mold's productivity long before a molding tryout (physical test of mold) begins, Obermier said. "Molders can start mold tryouts with complete confidence, and they can accelerate project scheduled because they will need fewer mold tryouts. Ultimately they can produce improved parts with tighter tolerances and higher quality at lower costs -- essential to a company's global competitiveness today," Obermier said. According to John Ulicny, research engineer at General Motors, a large automotive body panel mold can cost up to $500,000 and may require up to ten mold trials. "Considering that a single molding trial may cost as much as $40,000 and take up to six weeks effort, using CMLogic to eliminate even one of those trials can create substantial savings," he said. John Carlson, Cray Research chairman and chief executive officer, said CMLogic represents a growth initiative for Cray Research. "We are leveraging our expertise in high- performance simulation into new markets like the plastics industry. Our success in other commercial industries has been primarily based on the value that simulation brings (over physical prototyping methods) to time-to-market savings and improved product quality. This will be an important factor in our success in taking our simulation tools to new markets in the future," he said. Obermier said plastic injection molding simulation is a relatively new application for supercomputers that has been embraced first by the automotive industry and plastics material suppliers over the past few years. The leading injection molding simulation packages Moldflow and C-Mold have been running on Cray Research supercomputers since 1991. "Today, with the announcement of CMLogic, we are taking this plastic injection simulation technology one giant leap forward," said Obermier. "The simulation programs reliably predict a mold's performance for a single molding machine setup. CMLogic software simulates a designed experiment and runs multiple molding setups, integrates those runs, and 'automatically' predicts the range of acceptable machine setups for a particular plastic product or part. With CMLogic's predictive capabilities, manufacturers can optimize molding equipment machine cycle times, or quickly resolve current production problems." According to Obermier, CMLogic is designed to work with either Moldflow or C-Mold as the molding simulation code, making it easy for customers and prospects currently using these tools to move into CMLogic's advanced capabilities. CMLogic allows users to vary six key injection molding process variables including cavity fill time, plastic melt temperature, mold surface temperature, cavity holding pressure, cavity holding time, and mold closed time. Investigating only two variables, CMLogic would use nine simulations. A complete solution incorporating all six variables requires 45 simulation jobs and the power of a Cray Research supercomputer is key to getting those jobs processed fast and profitably, Obermier said. He said that predicting the full process window -- the range of acceptable settings for all the process variables -- is essential in setting up the most cost-effective, and productive plastic injection molding process. One of CMLogic's unique features is its ability to let users interactively explore the results of a CMLogic session, said Obermier. "With our CMLogic's molding simulator, users can 'twist knobs' and try out a mold design while sitting at your workstation," he said. "For example, a user can vary the plastic melt temperature and see how that affects the pressure needed to fill the mold -- it really is a tool to provide insight into the mold and literally see plastic injection molding in process." CMLogic is available only on Cray Research supercomputing systems, which today begin at prices ranging from $150,000 to $225,000 (U.S.). The new software is priced according to Cray Research system and begins at $18,000 for a paid up license. Cray Research creates the most powerful, highest-quality computational tools for solving the world's most challenging scientific and industrial problems. ###