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Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author: Küstner, Christof; Breitsprecher, Thilo; Wartzack, Sandro
Institution: Friedrich-Alexander-University Erlangen-Nuremberg, Germany
Despite detailed planning, conceptual and embodiment design important product properties like the acoustical behavior of complex machinery are only revealed in the later development phases (e. g. prototyping phase). If annoying acoustical behavior of machinery is identified in the later development phases, there will be the need to time- and money-consuming macro-iterations, which sometimes go back to the conceptual phase. This means a high financial risk especially for capital goods like wind turbines, because the operating license of wind turbines can be refused. In this paper, the demands and the basic architecture of a knowledge-based engineering (KBE) assistance system for the development of noise reduced rotating machines will be presented. It will assist the development engineers by context-sensitive allocation of design-relevant knowledge that enables them to identify components of complex machinery which are critical with respect to noise creation, noise transmission or noise radiation. With the aid of this assistance system, which is called ALARM, the risk of a drop back to the conceptual phase regarding undesirable acoustic product properties will be reduced.