Automated positioning of cooling channels by using methods of artificial intelligence

Theme	Tool- and Mold-Making, Automation, Artificial Intelligence
Project title	Automated positioning of cooling channels by using methods of artificial intelligence (NeuroTemp)
Project duration	01.07.2009 – 30.07.2011
Video	Design of temperature control systems using artificial intelligence (AI)
Press release	The construction of tools for injection molding is time-consuming and expensive. Through a method by which the positioning of tempering channels can be automated, IPH research engineers give support.

Plastic manufacturing processes such as injection moulding require stable and homogeneous temperature distributions of the used tool to achieve a high process stability and efficiency. Important part properties such as the mechanical strength, finish quality and dimensional accuracy are determined by the quality of the tool temperature control. The efficiency of an injection moulding process is among other things determined by its cycle time which is on the other hand depending on the temperature adjustment time. A good heat exchange between the injected material and the tool as well as a homogeneous temperature distribution in the tool wall between the production cycles are requirements for a short cycle time, high component quality and efficiency. The highest temperature on the molded part to ensure the required quality level determines the necessary temperature adjustment time. A homogeneous temperature profile on the surface area of the molded part can rarely be found in practice. A reason for this is usually the approach of the constructive design of a tool where thermodynamic aspects have a subordinate role. Cooling channels made of simple drill holes and milled grooves rarely completely satisfy the requirements to tool temperature controls. Most commonly the results are long temperature adjustment times, possibly insufficient quality and use of energy. However, the temperature control by means of conventional cooling channels is simple to manufacture and therefore industrially established. The use of innovative tool manufacturing techniques has the possibility of near-net-shape positioning of cooling channels and therefore an increase of the form-quality and a reduction of the cycle time. Due to the lack of an automatic method for the identification of a convenient cooling channel pathway, the decision for the positioning is done manually by experienced employees. Because of the indicated effects on the quality of the temperature control, a method for the automatic positioning of cooling channels is intended to be developed on the base of algorithms of artificial intelligence considering thermodynamic aspects. The method is intended to be developed exemplarily for injection moulding tools in the plastic manufacturing sector. The results of the project give companies the opportunity to plan and implement near-net-shape cooling channels. Generative manufacturing processes for injection moulding tools will become series-production ready.

Publications about the project

Tool- and Mold-Making, Automation, Artificial Intelligence Faßnacht, P.: Algorithmische Auslegung von konturnahen Temperiersystemen in Spritzgießwerkzeugen durch ein hybrides System aus naturanalogen Verfahren. In: Behrens, B.-A.; Nyhuis, P.; Overmeyer, L. (Hrsg.): Berichte aus dem IPH, Band 3/2014, TEWISS – Technik und Wissen GmbH, Garbsen 2014.

Through the use of cooling systems in injection molding, the reduction of cycle time and increasing the quality of molded parts is desired. New manufacturing processes such as selective laser melting enable the layered structure of cooling systems and allow the free design of cooling systems which is close to the part geometry. With these form-fitting cooling systems, for example, the tempering cycle times can be reduced further. However, the degree of freedom in the design of cooling circuits increases with the new production method, which makes the manual design difficult and extends the simulation times. Automated design methods of conformal cooling systems based on geometric and process parameters are currently not available. An innovative software helps by constructing close-contoured channels and reducing the cycle time with minimized engineering effort.

injection molding, conformal cooling systems, design, nature-inspired algorithms

www.tewiss-verlag.de

Industry 4.0, Tool- and Mold-Making, Automation, Artificial Intelligence Faßnacht, P.; Kerkeling, J.; Nickel, R.: Keep cool mit KI. In: Kunststoff-Magazin, Hoppenstedt, o. Jg. (2011), H. 9, S. 18-19.

Still profitability and quality are decisive competitive factors in production business. Therefore injection molding faces the challenge to produce valuable parts with constant quality at a lower cost. An innovative software for automatic and close-contoured construction of cooling channels supports that by use of artificial intelligence developed by the IPH – Institute for integrated Production Hannover gGmbH together with several companies.

profitability and quality, injection molding, close-contoured construction of cooling channels

Industry 4.0, Tool- and Mold-Making, Automation, Artificial Intelligence Faßnacht, P.; Kerkeling, J.; Nickel, R.: Künstlich-intelligent statt manuell. In: Plastverarbeiter, Hüthing, 62. Jg. (2011), H. 3, S. 72-73.

Still profitability and quality are decisive competitive factors in production business. Therefore injection molding faces the challenge to produce valuable parts with constant quality at a lower cost. An innovative software helps by constructing close-contoured channels and reducing the cycle time with minimized engineering effort.

profitability and quality, injection molding, close-contoured construction of cooling channels

Automated positioning of cooling channels by using methods of artificial intelligence

Publications about the project

Industry 4.0, Tool- and Mold-Making, Automation, Artificial Intelligence Faßnacht, P.; Kerkeling, J.; Nickel, R.: Keep cool mit KI. In: Kunststoff-Magazin, Hoppenstedt, o. Jg. (2011), H. 9, S. 18-19.

Industry 4.0, Tool- and Mold-Making, Automation, Artificial Intelligence Faßnacht, P.; Kerkeling, J.; Nickel, R.: Künstlich-intelligent statt manuell. In: Plastverarbeiter, Hüthing, 62. Jg. (2011), H. 3, S. 72-73.

Industry 4.0, Tool- and Mold-Making, Automation, Artificial Intelligence Faßnacht, P.; Overmeyer, L.: Automatisierte Temperiersystemauslegung mit naturanalogen Verfahren. In: ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag München, 106. Jg. (2011), H. 11, S. 868-872.

Industry 4.0, Tool- and Mold-Making, Automation, Artificial Intelligence Kerkeling, J.; Faßnacht, P.: Neuronal statt manuell. In: AutoCAD und Inventor Magazin, WIN-Verlag, 24. Jg. (2011), H. 8, S. 62-63.

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