IN2Dig – Implementation of a Digital Manufacturing System in a Production Cell of the Metal Mold Industry: From Planning to Action

作者: Fernando Piedade , Marcia Baptista , Paulo Chaves

DOI: 10.1016/J.PROMFG.2020.02.030

关键词: Factory (object-oriented programming)WeldingManufacturing engineeringComputer scienceUniversal Plug and PlayDigital manufacturingWireless sensor networkProcess (engineering)Quality (business)Enterprise resource planning

摘要: Abstract The mass production of metal molds for glass bottles is a highly automated and technologically demanding sector activity. Mold manufacturing involves several operations one the most critical related to mold surface welding. main goal here insert more durable into specific areas create regions with enhanced characteristics (e.g. improved wear resistance) in order improve quality durability mold. Such an operation typically three steps, namely: i) preheating, ii) manipulation iii) Overall, this rather complex process, tight control monitoring its variables. Our industrial partner, medium-size manufacturer bottles, already had extensively process. However, there were frequent reports processing flaws during welding stage deposition, fissures, pores) being lost some cases. reasons behind reported difficult discern from available sensors methods. From our early assessment it became clear that range was insufficient communication between machines inside cell either too simple or disconnected rest factory. This resulted absence integrated record In view this, necessary develop implement digitalization plan, which we describe paper, responsible As result planning, additional introduced cell, pressure, temperature, humidity, flow, voltage. intent have variables could be used diagnose and/or prognosticate problems Also, since lacked integration, network established using IoT technologies supported by PlugThings Framework together Universal Plug Play (UPnP) technology. PlugThings, platform developed partner iTime, acted as mediator sensor Web server. also allowed perform vertical integration on Enterprise Resource Planning (ERP) system. Finally, initiative enabled access charting tools data form XML files. Currently, system undergoing exhaustive tests before expanding other cells shop floor. Future steps will involve use analytics artificial intelligence predict failures process better streamline production.

参考文章(15)
A. R. Marder, J. N. Dupont, Thermal efficiency of arc welding processes Welding Journal. ,vol. 74, ,(1995)
Agnieszka Radziwon, Arne Bilberg, Marcel Bogers, Erik Skov Madsen, The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions Procedia Engineering. ,vol. 69, pp. 1184- 1190 ,(2014) , 10.1016/J.PROENG.2014.03.108
V A Kosovich, V A Polupan, V S Sedykh, V V Nikonov, A V Panin, Yu L Yaroviniskii, Effect of design and material of non-consumable electrodes for arc welding on their durability Welding International. ,vol. 5, pp. 885- 887 ,(1991) , 10.1080/09507119109446809
Mervat Abu-Elkheir, Mohammad Hayajneh, Najah Abu Ali, None, Data Management for the Internet of Things: Design Primitives and Solution Sensors. ,vol. 13, pp. 15582- 15612 ,(2013) , 10.3390/S131115582
CS Wu, L Wang, WJ Ren, XY Zhang, None, Plasma arc welding: Process, sensing, control and modeling Journal of Manufacturing Processes. ,vol. 16, pp. 74- 85 ,(2014) , 10.1016/J.JMAPRO.2013.06.004
Ramon Sanchez-Iborra, Maria-Dolores Cano, State of the Art in LP-WAN Solutions for Industrial IoT Services Sensors. ,vol. 16, pp. 708- ,(2016) , 10.3390/S16050708
Feraidoon Raafat, A COMPREHENSIVE BIBLIOGRAPHY ON JUSTIFICATION OF ADVANCED MANUFACTURING SYSTEMS International Journal of Production Economics. ,vol. 79, pp. 197- 208 ,(2002) , 10.1016/S0925-5273(02)00233-5
Maria Jose Silva, Joao Leitao, Mario Raposo, None, Barriers to innovation faced by manufacturing firms in Portugal: how to overcome it for fostering business excellence? International Journal of Business Excellence. ,vol. 1, pp. 92- 105 ,(2008) , 10.1504/IJBEX.2008.017568