Development of Middleware for Data-Centric Digital Twin of Additive Manufacturing

Abstract

Additive Manufacturing (AM) is a layer-by-Iayer manufacturing process for different metals/alloys and polymers. Despite the various technological and other opportunities of production, one of the challenges is a Big Data issue in data management of monitoring and controlling the AM manufacturing process. The data-centric Digital Twin (DT) technology should support the AM process. To improve the data performance and accuracy of data-centric DT in AM, the development of middleware was investigated. Middleware is a software system, which its leading role is data management and communication between simulation and physical modules of the DT. This paper introduces the implementation of the middleware in data-centric DT of AM. The aim of the research is to design and develop a data-centric middleware architecture model to enable the creation of DT for AM.