Knowledge Engineering and Management
A framework of knowledge sharing systems for predicting turbine blade flutters is proposed. Flutter is one of the serious failures in turbo machinery. Because of the complexity of flutter phenomena in turbines, most of the methods in practical use are empirical approaches, using experimental data as well as expert's experiences. So, sharing the experiences has become significant. A framework of a knowledge sharing system is proposed to help jet engine designers predict/avoid the onset of flutters in the design phase. Examples of such a system may include: 1) improving the prediction accuracy by using the available resources more effectively, 2) reducing or even eliminating the possibility of the onset of flutter to help researchers understand the mechanism of flutter phenomena, and 3) sharing knowledge more effectively among researchers in different places.
Liu, Win G., "A Knowledge Sharing System for Predicting Turbine Blades" (1990). Engineering and Technology Management Student Projects. 482.