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Digitization of the temperature control unit

Innovative, model-based thermal industrial systems: Tool Temp AG and three institutes of engineering at the FHNW realized a novel control technology concept.


Measurement data about the cycle progression is incorporated into a mathematical model architecture to develop model predictive control.


  • Predictive process control
  • State variables
  • Injection molding and Moldflow simulation


Tool Temp AG from Sulgen (TG) manufactures temperature control units for the plastic, chemical and pharmaceutical industries. These devices have a robust and simple analog control technology, which, however, has potential for improvement regarding a development and implementation of Industry 4.0 and a digitalized process chain. The realization of an intelligent process control for the temperature control of injection molds should help Tool Temp AG to offer the customer energy-efficient systems with the possibility of online diagnosis, monitoring and control.


The aim of the project was to optimize the temperature control process in injection molding using a simple digital control loop.


    The aim of the project was to optimize the temperature control process in injection molding regarding more energy-efficient use with the aid of a simple digital control loop. Using the findings from filling and temperature field simulations, the respective dependencies of the individual process-dependent and dynamic state variables were to be mapped in a predictive control model and thus the process optimally controlled. A further objective was to include all essential parameters in relation to customer-specific wishes and requirements to enable continuous monitoring of the injection molding process.


      All essential state variables were successfully included in a mathematical model and described with the help of a so-called "predictive control loop". The model-based prediction of the system behavior and the formulation of an optimization task to be solved is carried out for a specific point in time and continues to apply beyond this point based on the findings from many simulations and measurements. In this way, process control can be implemented in a relatively cost-effective manner without significantly interfering with the proven technology of analog temperature control. Tool-Temp3.jpg

      Overview of target achievement and outlook

      Project information


      Tool-Temp AG, Sulgen


      Institut für Automation FHNW
      Institut für Chemie und Bioanalytik FHNW
      Institut für Kunststofftechnik FHNW


      2 years



      Project Team
      David Zogg, Steffen Thierer, Andreas Zogg, Jonas Asprion, Halime Philipp