Additive Manufacturing Cloud via Peer-Robot Collaboration

Abstract

When building a 3D printing cloud manufacturing platform, self-sensing and collaboration on manufacturing resources present challenging problems. This paper proposes a peer-robot collaboration framework to deal with these issues. Each robot combines heterogeneous additive manufacturing hardware and software, acting as an intelligent agent. Through collaboration with other robots, it forms a dynamic and scalable integration manufacturing system. The entire distributed system is managed by rules that employ an internal rule engine, which supports rule conversion and conflict resolution. Two additive manufacturing service scenarios are designed to analyse the efficiency and scalability of the framework. Experiments show that the presented method performs well in tasks requiring large-scale access to resources and collaboration.

A new cellular manufacturing layout: Multi-floor linear cellular manufacturing layout

“…The coding sequence starts from the bottom. The facilities in Figure 4 are coded as " [1,2,3,8,9,10,4,5,6,7,11,12,13,14]." Initial population.…”

“…The optimal solution (7,6,16,4,5,3,12,1,10,13,9,15,2,8,11,14) area of MLCML amounts to 12.9 m 2 ; together, the volume is 23.2 m 3 , whereas the total handling distance amounts to 1332.6 m. In comparison with SLCML, the area of MLCML lowered by 57.6%, space, which was saved by 23.7%, and the carrying distance was lowered by 29.2% as well. Practical cases shed light on the fact that the MLCML offers robust advantages in engineering applications.…”

“…The scholars' research addressing the cellular layout primarily places emphasis on the layout optimization methodologies, mathematical modeling, and solving algorithms. [4][5][6] For instance, Hüsamettin and Ramazan 7 investigated the cell layout issue of a multistage dynamic CMS, together with solving it with the use of a hybrid solution methodology integrated into linear programming. Zhang Zeqiang et al 8 put forward a variable neighborhood search algorithm for the purpose of solving the single-line layout problem of manufacturing cells.…”