|Theme||Tool- and Mold-Making, Forming technology, Artificial Intelligence|
|Project title||Design of optimal pre-form stages for flashless forging of long flat parts using stochastic optimization methods (Vorformoptimierung)|
|Project duration||01.08.2007 – 31.01.2010|
Publications about the project
Industry 4.0, Tool- and Mold-Making, Artificial Intelligence, Forming technology Faßnacht, P.; Meyer, M.; Nickel, R.; Behrens, B.-A.: Vorformoptimierung mittels Evolutionären Algorithmen. In: ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag, 107. Jg. (2012), H. 3, S. 133-138.
A smart option to increase the energy yield of wind turbine generators is to increase its height. There is an exponential increase of the usable wind energy at enlarging the tower’s height, but also an exponential increase of the tower’s weight. The application of lightweight design concepts in the production of wind turbine tower sections may lead to weight reduction while keeping the tower’s stiffness at an equal level. Here the results of a study for lightweight concepts and their implementation on towers and a guiding systematic approach are being presented. The investigated design solutions proved successfully in bionic, aerospace and automotive applications. FEA simulations were used to compare the different structures and to estimate their feasibility. The investigation’s main result is a lightweight structure which provides weight reductions up to 20 %, by using lower wall thicknesses.
forging, genetic algorithm, preforming optimization