Artificial neural network based framework for cyber nano manufacturing

Nanomanufacturing plays an important role for high performance products in several applications. The challenge for fabricating products with nanomaterials is the inability to interconnect and interface with nano/micro manufacturing equipment. This paper presents a framework for cyber nanomanufacturing. Input part designs of nano/micro scale components are evaluated with an artificial neural network (ANN) based smart agent to predict optimal nanomanufacturing processes. An internet-of-things (IoT) based cyber-interface simulator is implemented to simulate real-time machine availability. Further, an application program interface (API) is developed to integrate the ANN smart agent and IoT simulator outcomes to predict dynamic machine allocations in real-time.