Abstract
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.
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