Automated Knowledge‐Based Design for Additive Manufacturing: A Case Study with Flow Manifolds
Manuel Biedermann, Patrick Beutler, Mirko Meboldt
Abstract
Abstract Additive manufacturing (AM) enables novel process equipment devices. However, the manual 3D design of complex part geometries is frequently challenging as designers need to fulfill functional requirements and consider the restrictions of AM. One promising approach is to automatically generate the design of parts. This work aims to introduce such an automated design approach to practitioners in the area of process engineering. The work describes the basic steps required to develop an automated, knowledge‐based design tool for AM and demonstrates the approach using a case study on flow manifolds.
Topics & Concepts
Process (computing)Computer scienceEngineering design processWork flowWork (physics)Manufacturing engineeringFlow (mathematics)Design processSystems engineeringEngineering drawingIndustrial engineeringEngineeringWork in processMechanical engineeringOperations managementMathematicsGeometryOperating systemAdditive Manufacturing and 3D Printing TechnologiesManufacturing Process and OptimizationInnovations in Concrete and Construction Materials