This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Leading Edge Assembly Real Time Process Monitoring Using Industrial Internet of Things (IIoT)
Technical Paper
2019-01-1367
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Event:
AeroTech Americas
Language:
English
Abstract
The increasing global demand for commercial aircraft creates many new challenges in manufacturing including an increased need to maximize the automation of manufacturing processes. The purpose of this research is to develop the understanding of leading edge assembly processes using robot mounted tooling and an automated fixture with advanced process monitoring. Within this research real-time process monitoring data is acquired from an assembly operation and processed into an open cloud environment enabling advanced data analytics. Implementation of advanced analytics utilising process data could be developed for the use of machine learning algorithms which can lead to superior fault finding. The aim of this research is to improve product quality, reduce cost and increase process knowledge, enabling the potential for maximized online and offline process feedback. This paper details how an open Industrial Internet of Things (IIoT) environment can be used to interface with a number of proprietary devices to enable real-time process monitoring in aerospace manufacturing. The implementation of the software and hardware is detailed and followed by an initial evaluation of the system architecture by performing leading edge assembly operations. In addition, a baseline of current IIoT systems is discussed, with the comparison to the specific architecture used here. The system is based on a wireless integration of proprietary devices and sensors feeding real-time data to an open cloud environment. Data is analysed and visualised in real time with online access and report generation. Data is supplied from the automated fixture and Restricted Access Drilling Unit (RADU) end-effector prototype developed by the Manufacturing Technology Centre. Supplied process data includes hardware and system health, and environmental measurements during the assembly operation. Access to analysed data grants the ability to identify occurring abnormalities during the assembly process which, ultimately, will allow for advancements in increased component quality and reduce manufacturing costs.
Recommended Content
Authors
Topic
Citation
Janik, K., Thompson, I., Walley, G., Land, P. et al., "Leading Edge Assembly Real Time Process Monitoring Using Industrial Internet of Things (IIoT)," SAE Technical Paper 2019-01-1367, 2019, https://doi.org/10.4271/2019-01-1367.Also In
References
- International Air Transport Association, “Annual Review 2018,” https://www.iata.org/publications/Pages/annual-review.aspx, accessed Nov. 2018.
- Airbus, “Global Market Forecast 2018-2037,” https://www.airbus.com/aircraft/market/global-market-forecast.html , accessed Nov. 2018.
- Boeing, “Commercial Market Outlook,” https://www.boeing.com/commercial/market/commercial-market-outlook/, accessed Nov. 2018.
- Advisory Council for Aviation Research and Innovation in Europe,” Flight Path 2050 Goals,” https://www.acare4europe.org/sria/flightpath-2050-goals, accessed Nov. 2018.
- Airbus; GKN, “CORDIS,” http://cordis.europa.eu/docs/results/296/296092/final1-sfwa_ep15-09_aerodays-exibition.pdf, accessed Nov. 2018.
- Holmes, B., Obara, C., Martin, G., and Domack, C., “Manufacturing Tolerances for Natural Laminar Flow Airframe Surfaces,” SAE Technical Paper 850863, 1985, doi:10.4271/850863.
- Microsoft Azure IoT, “Azure IoT Hub,” https://azure.microsoft.com/en-us/services/iot-hub/, accessed Nov. 2018.
- AWS IoT, “The Broadest and Deepest Portfolio of IoT Services,” https://aws.amazon.com/iot/, accessed Nov. 2018.
- AWS IoT Core, “Easily and Securely Connect Devices to the Cloud. Reliably Scale to Billions of Devices and Trillions of Messages,” https://aws.amazon.com/iot-core/, accessed Nov. 2018.
- Google Cloud IoT, “Unlock Business Insights from Your Global Device Network with an Intelligent IoT Platform,” https://cloud.google.com/solutions/iot/, accessed Nov. 2018.
- IBM Watson IoT, “The Internet of Things Delivers the Data. AI Powers the Insights,” https://www.ibm.com/internet-of-things, accessed Nov. 2018.
- Azure IoT Hub Pricing, “Connect, Monitor and Control Millions of IoT Assets,” https://azure.microsoft.com/en-us/pricing/details/iot-hub/, accessed Nov. 2018.
- AWS IoT Pricing, “AWS IoT Core Pricing,” https://aws.amazon.com/iot-core/pricing/ , accessed Nov. 2018.
- Google Cloud IoT Pricing, “Do More for Less,” https://cloud.google.com/pricing/ , accessed Nov. 2018.
- IBM IoT Pricing, “IBM Watson IoT Platform,” https://www.ibm.com/uk-en/marketplace/internet-of-things-cloud/purchase , accessed Nov. 2018.
- IBM Bluemix Blog, “Better Pricing and Better Standard Plan on Watson IoT Platform,” https://www.ibm.com/blogs/bluemix/2016/09/better-pricing-better-standard-plan-watson-iot-platform/ , accessed Nov. 2018.
- Google Cloud, “Google Cloud Platform Pricing Calculator,” https://cloud.google.com/products/calculator/, accessed Dec. 2018.
- IBM Cloud, “Pricing Calculator,” https://console.bluemix.net/pricing/, accessed Dec. 2018.
- Microsoft Azure, “Pricing Calculator: Configure and Estimate the Costs for Azure Products,” https://azure.microsoft.com/en-gb/pricing/calculator/, accessed Dec. 2018.
- AWS, “Simple Monthly Calculator,” https://calculator.s3.amazonaws.com/index.html, accessed Dec. 2018.
- AWS Lambda, “Run Code without Thinking about Servers. Pay Only for the Compute Time you Consume,” https://aws.amazon.com/lambda/?nc2=type_a, accessed Dec. 2018.
- Azure IoT Hub, “Connect, Monitor and Manage Billions of IoT Assets,” https://azure.microsoft.com/en-gb/services/iot-hub/, accessed Dec. 2018.