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.
Highlights
Additive manufacturing (AM) is the "process of joining materials to make objects from 3D model data, usually layer upon layer" [1]
The method used in AM virtualized resource management mainly deals with the following two issues: (1) reasoning based on rules to achieve resource allocation for single self-managed robots; (2) extension of management rules to form AM domain knowledge, which is combined with collaboration among robots for the configuration of multiple self-managed robots, so that optimal use of the complete set of AM resources is achieved
The reasoning involved in self-management rules is divided into two steps: (1) the translation component extracts the selfmanagement rules submitted by the user, as well as the system’s resources and status, which are translated into rules and facts in CLIPS format, and passed to the inference engine;(2) the rule engine makes a decision based on the current information and returns the result to the executor component
Summary
Additive manufacturing (AM) is the "process of joining materials to make objects from 3D model data, usually layer upon layer" [1]. Cloud manufacturing [3] is used to integrate distributed manufacturing resources, design abilities and manufactur‐ ing capabilities into a virtual services pool This enables customers to access manufacturing related services, thereby cutting back on equipment updates, management and personnel training costs for the enterprises. Using AM, a design in the form of a computerized 3D model can be directly transformed into a finished product without the use of additional fixtures and cutting tools It combines the characteristics of a simple manufacturing process and highly integrated manufacturing crafts, which facilitates building cloud. In order to deal with these issues, this paper proposes a multi-robots system that manages the cloud platform, where each robot combines the heterogeneous AM hard‐ ware and software connected to it, acting as an intelligent agent This design creates a dynamic and scalable integra‐ tion manufacturing system through the collaboration of peer-robots
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