ADME Project: DDS with AI-based Criteria Optimizer for Additive Manufacturing
Critical to the selection material requirements for additive manufacturing (AM) is the necessity for appropriate materials. Materials requirements for AM comprise the ability to produce the feedstock in a form in accordance with the specific AM technology.
ADME project presents an innovative solution to resolve the designer efforts of material selection of the heterogeneous properties of composite materials based on the development of novel software. The main objective of the project is to help designers demonstrating the potential of intelligent Decision Support System (DSS) tool, based on supprt vector machine (SVM). The tool will reduce time to market of the product, helping designers to save searching materials on material handbooks and provides optimized software for the best selection of composite materials, also considering recyclability of materials. As a result of the ADME project, the user can evaluate the influences of his decisions concerning design, material and machine selection at an early stage of the product development process