Cyber-based design for additive manufacturing using artificial neural networks for Industry 4.0
Cyber-based design for additive manufacturing using artificial neural networks for Industry 4.0
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DOI：
10.1080/00207543.2019.1671627
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发表时间：
2020-05-02
影响因子：
9.2
通讯作者：
Desai, Salil
中科院分区：
文献类型：
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作者：
Elhoone, Hietam;Zhang, Tianyang;Desai, Salil
增材制造 (AM) 需要集成网络、嵌入式控制和云计算技术来提高效率和资源利用率。然而，目前还没有现成的系统可以用于基于云的AM。本研究的目的是开发一个用于设计将专家系统与物联网 (IoT) 集成的网络增材制造系统的框架。实施基于人工神经网络 (ANN) 的专家系统，根据 CAD 数据和用户输入对输入零件设计进行分类。三种人工神经网络算法在知识库上进行了训练，以确定不同零件设计的最佳增材制造工艺。采用两阶段模型，通过增加输入因子和数据集的数量，将预测精度提高到 90% 以上。开发了一个网络接口，用于使用 Node-RED IoT 设备模拟器查询增材制造机器的可用性和资源能力。动态增材制造机器识别系统使用应用程序接口 (API) 开发，集成了智能算法和物联网接口的输入以进行实时预测。这项研究为制造系统的网络增材设计的开发奠定了基础，该系统可以通过网络将数字设计动态分配给不同的增材制造技术。
Additive Manufacturing (AM) requires integrated networking, embedded controls and cloud computing technologies to increase their efficiency and resource utilisation. However, currently there is no readily applicable system that can be used for cloud-based AM. The objective of this research is to develop a framework for designing a cyber additive manufacturing system that integrates an expert system with Internet of Things (IoT). An Artificial Neural Network (ANN) based expert system was implemented to classify input part designs based on CAD data and user inputs. Three ANN algorithms were trained on a knowledge base to identify optimal AM processes for different part designs. A two-stage model was used to enhance the prediction accuracy above 90% by increasing the number of input factors and datasets. A cyber interface was developed to query AM machine availability and resource capability using a Node-RED IoT device simulator. The dynamic AM machine identification system developed using an application programme interface (API) that integrates inputs from the smart algorithm and IoT interface for real-time predictions. This research establishes a foundation for the development of a cyber additive design for manufacturing system which can dynamically allocate digital designs to different AM techniques over the cyber network.