CEDRAT News - N° 66 - June 2014 Heating process optimization with GOT-It coupled to Flux ®. Diana Mavrudieva - CEDRAT. G OT-It is CEDRAT optimization software for devices and systems in electrical engineering. Coupled to the other tools of CEDRAT’s software suite (Flux, InCa3D and Portunus), it is particularly well adapted to automatically drive numerical models, and search for optimal configurations in design studies. Starting from an initial model of the device, and with the definition of input parameters, objective(s) to be achieved and constraints to be respected, the software allows the efficient searching of the design space using a reduced number of calls to the numerical model. Using advanced algorithms, the tool extracts a configuration that optimizes the objective function and meets the constraints efficiently. Furthermore, it allows determining the most influent parameters (screening) and analyzing the robustness of the optimal solution. » Example 1: Find out the optimum coil design that reduces heat time as much as possible by uniformly heating the billet border. Figure 2 presents the study device designed with Flux 2D. It is composed of a billet: magnetic and conductive parts heated by induction and a coil supplied by a voltage source. The goal is to find the coil position on X and Y and the supply voltage that allows reducing the heat time as much as possible while uniformly heating the billet border (red line on the picture). As presented in figure 3, the optimum heat time found is 4.87s instead of 5.69s while respecting the constraint. Flux- GOT-It coupling The coupling between Flux and GOT-It (figure 1) is based on data exchange done automatically with the server. Using advanced optimization strategies, GOT-It pilots Flux calculations by proposing input parameter values in order to reach the objective values for output functions. The design and optimization procedure includes the following steps: • Designing the device and analyzing the initial performances with Flux • Generating a coupling component for GOT-It from the Flux model • Creating a Flux communicator in the GOT-It model • Defining and launching the optimization in GOT-It &ŝŐ͘Ϯ͘/ŶĚƵĐƟŽŶŚĞĂƟŶŐĚĞǀŝĐĞ ĚĞƐŝŐŶĞĚǁŝƚŚ&ůƵǆ͘ Initial Input parameters GOT-It CEDRAT Software 'LUHFWRSWLPL]DWLRQ by CEDRAT 2SWLPL]DWLRQDOJRULWKP 6XUURJDWHIDFWRU\ • )OX['' •,Q&D' •3RUWXQXV • Data exchange with server ,QGLUHFWRSWLPL]DWLRQ 3RVW SURFHVVLQJ FRPPDQG ILOH Output functions Optimum • • • • 2SWLPL]DWLRQSUREOHPGHILQLWLRQ 6HOHFWLRQRIRSWLPL]DWLRQVWUDWHJ\ 0RGHOUHGXFWLRQ 5REXVWQHVVGHVLJQDQDO\VLV • • • 'HVLJQRIWKHVWXG\FDVH (DV\FRQQHFWLRQWR*27,W 'HYLFHSHUIRUPDQFHVFRPSXWDWLRQ &ŝŐ͘ϭ͘&ůƵǆͲ'KdͲ/ƚŽƵƉůŝŶŐdĞĐŚŶŽůŽŐǇ͘ Heating process optimization examples If GOT-It is coupled to Flux, it is possible to optimize any magneto thermal model designed with Flux 2D and 3D. For instance, it is possible to optimize the coil design for induction heating process in order to reduce the heat time while respecting temperature constraints, or to find the supply that allows reaching a target temperature, etc. Initial Optimum X (mm) 1 0,4 Y (mm) 1 0,4 U_rms (V) 11 11 U_HEAT (s) 5,69 4,865 Constraint non respected OK &ŝŐ͘ϯ͘KƉƟŵŝǌĂƟŽŶƌĞƐƵůƚƐŽďƚĂŝŶĞĚǁŝƚŚ'KdͲ/ƚĐŽƵƉůĞĚƚŽ&ůƵǆ͘ (continued on page 15) - 14 - CEDRAT News - N° 66 - June 2014 » Example 2: Identify the supply that allows a target temperature to be reached. Figure 4 presents the studied device designed with Flux2D. It is composed by a pipe: magnetic and conductive parts heated by induction and a coil supplied by a voltage source. &ŝŐƵƌĞϲ͗ƚĞŵƉĞƌĂƚƵƌĞǀĞƌƐƵƐƟŵĞ͘ Figure 6 presents the temperature vs. time curve obtained with Flux by supplying the voltage found by GOT-It optimization. Conclusion The use of GOT-It optimizer coupled to Flux for the heating process optimization has been presented in this article. Using GOT-It, any magneto thermal Flux model could be efficiently optimized in order to find the optimum coil design, to find the supply needed to reach a target temperature, etc… &ŝŐ͘ϰ͘/ŶĚƵĐƟŽŶŚĞĂƟŶŐĚĞǀŝĐĞĚĞƐŝŐŶĞĚǁŝƚŚ&ůƵǆ͘ The definition of the model in GOT-It includes the definition of: the parameter range of variations; the optimization functions (goal and constraint), the optimization problems, the optimization algorithm and the optimization. Figure 5 presents the optimization model definition and the optimization results. The voltage that allows reaching 600°C is 9.5V. &ŝŐ͘ϱ͘KƉƟŵŝǌĂƟŽŶĚĞĮŶŝƟŽŶǁŝƚŚ'KdͲ/ƚĂŶĚƌĞƐƵůƚƐ͘ http://flux-conference.cedrat.com - 15 -