Artificial neural network based framework for cyber nano manufacturing

被引：10

作者：

Almakaeel H. ^{[1
]}

Albalawi A. ^{[1
]}

Desai S. ^{[2
]}

机构：

[1] Department of Industrial and Systems Engineering, North Carolina A&T State University, 419 McNair Hall, 1601, East Market St., Greensboro, 27411, NC

[2] Department of Industrial and Systems Engineering, North Carolina A&T State University, 422-B McNair Hall, 1601, East Market St., Greensboro, 27411, NC

来源：

Manufacturing Letters | 2018年 / 15卷

基金：

美国国家科学基金会;

关键词：

Artificial neural network; Cyber-physical systems; Internet-of-things nanomanufacturing; Smart agent;

D O I：

10.1016/j.mfglet.2017.12.013

中图分类号：

学科分类号：

摘要：

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. © 2017 Society of Manufacturing Engineers (SME)

引用

页码：151 / 154

页数：3

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