Expert System Optimizing Model of Filament Winding Process for Improved Automated Composite Manufacturing Structure

Various strategies have been adopted to enhance the qualities of composite manufacturing processes to develop achieving composite materials with precise geometry without discounting productivity. Filament winding process is considered an important method for producing composite materials for various industrial applications. Several mandrel materials are usually considered before setting the suitable type in filament winding process to ensure satisfying the desired specifications of the design requirements. This work investigated a wide range of materials that could be utilized as alternatives for the filament winding mandrels in one hand, and classified materials based upon various simultaneous conflicted technical and economic standpoints on the other. Properly optimizing and determining the most appropriate material type according to certain desired specifications via building an informative multi-criteria decision-making model would enhance both productivity and benefit for the composite manufacturing system. The built model was capable of systematically selecting the most appropriate mandrel material type for the filament winding process with very limited or marginal personal selection errors. Twelve simultaneous evaluation criteria were considered. Sensitivity analysis, moreover, was conducted to reveal the reliability of the drawn conclusions.