Abstract
In this paper, a survey for Data Mining frame work has been done for proposing Data Mining methodologies to engineering materials design applications. An exhaustive literature survey made in this article has covered the modeling systems such as Analytical Model, Numerical Simulation Model and Computer Based Modeling Systems, which were developed and implemented for Polymer Composite processing from the year 1950 to till 2006. Motivation for the present investigation is inspired by the Computer Based Models and is depicted as Mining Frame Work for determining optimal decision making strategies and performing intelligent computational operations associated to advanced Composite materials design applications. Data Mining and Knowledge Discovery has made tremendous progress in Computer Science in the last 15 years. However, a large gap exists between the results of Data Mining and Knowledge Base system that can provide and support proper decision making. Though many Modeling and Simulation Systems have been designed and developed for improving the concurrent engineering materials design throughput, the application of Data Mining is still essential to extract previously unknown and potentially useful information and knowledge from the engineering materials database. The information and knowledge extracted by the Mining System is enormously useful for Composite materials design applications and for reducing the materials selection cost and time that is required to select the suitable constituent materials that maximize the performance of Composite materials under deferent environmental conditions.