Aachen, October 16th, 2018 – At Fakuma, SIGMA Engineering GmbH from Aachen showcases the newest applications of its SIGMASOFT® Autonomous Optimization, exhibiting at booth A5-5105. In this new simulation approach, now contained in the SIGMASOFT® Virtual Molding technology, the user defines a specific objective, e.g. the balanced filling of multiple cavities, and the simulation determines the configuration optimally fulfilling this objective, using just one calculation with a variety of variables. The user compares different configurations based on specific values, significantly shortening the time to find the best result. Consequently, trial-and-error experiments are not just moved from the injection molding machine to the computer but reduced to a minimum, since the software facilitates the user’s decisions regarding geometry or process changes.
In the example at hand, the runner system of a family mold should get optimized to achieve a balanced filling of the different parts. These are differing considerably in volume and wall thickness. Therefore, filling happened to be very unbalanced with the original runner system, leading to a single component affecting the productivity of the entire process.
The possibility to execute a virtual DoE (Design of Experiments) is an integral part of the Autonomous Optimization. It was utilized to optimize the design and achieve a balanced filling of all cavities of the aforementioned family mold. Initially, the adjustable geometric parameters were determined (Figure 1). The length of the main sprue’s local increase of thickness, radius of the bottom sprue and the respective starting points of the lateral sprues, where they branch away from the main sprue were specified as degrees of freedom. Additionally, the desired target value was defined. These are minimal differences in filling times of the individual components as well as a low filling pressure.