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Digitalization of a Climate and Altitude Simulation Test Bench for Handheld Power Tools to Automate Its Thermal Management System
Technical Paper
2022-01-0602
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Mechanical systems accomplish their tasks better when enhanced with cyber technologies. With the rapidly escalating desire for high efficiency, optimization and flexibility, these physical systems ought to be integrated with cyber technologies that enhance exhaustive manipulation of resources and productivity. The gateway for such a synergetic integration can be referred to as digitalization. Details regarding the digitization of a High-altitude Simulation chamber are discussed thoroughly in this paper. The simulation chamber was originally designed and developed as a test bench to study the characteristics of alternative fuels used in the engines of handheld tools in different altitudes and thermal conditions. It encompasses all the possible realistic temperature variations with altitude raising to 3500m above sea level. Since the testbed’s effectiveness is highly dependent on achieving a combination of desired temperature and altitude values to maintain them for a defined period, optimized control of these features is crucial. To develop such a control scheme, a thorough analysis of the relationship of control variables and actual values was found to be important by primarily addressing the digitalization gap that hindered its possibility. The communication barrier between the system components and computation units was solved by the introduction of a platform that can feed and take control signals with actual sensor data. Via a service-oriented open standard protocol called OPC UA, machine data was transferred to high-level processing units. The undertaken automation addressed the digitalization gap effectively paving the way to make it a highly effective cyber-physical system. The possibility of real-time data acquisition signifies the digital twin of the system can easily be established enhancing the system with readiness to Industry 4.0.
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Citation
Derbie, A., Nenninger, P., Hadamek, C., Renner, M. et al., "Digitalization of a Climate and Altitude Simulation Test Bench for Handheld Power Tools to Automate Its Thermal Management System," SAE Technical Paper 2022-01-0602, 2022.Also In
References
- Neugebauer , R. 2018
- Tao , F. , Qi , Q. , Wang , L. , and Nee , A.Y.C. Digital Twins and Cyber-Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison Engineering 5 4 2019 653 661 10.1016/j.eng.2019.01.014
- Lu , Y. , Xu , X. , and Wang , L. 2020
- Tao , F. et al. Digital Twin-Driven Product Design Framework Int. J. Prod. Res. 57 12 2019 3935 3953 10.1080/00207543.2018.1443229
- Zhong , R.Y. , Xu , X. , Klotz , E. , and Newman , S.T. Intelligent Manufacturing in the Context of Industry 4.0: A Review Engineering 3 5 2017 616 630 10.1016/J.ENG.2017.05.015
- Hu , L. , Xie , N. , Kuang , Z. , and Zhao , K. Review of Cyber-Physical System Architecture Proc. - 2012 15th IEEE Int. Symp. Object/Component/Service-Oriented Real-Time Distrib. Comput. Work. ISORCW 2012 25 30 2012 10.1109/ISORCW.2012.15
- Liu , Y. , Peng , Y. , Wang , B. , Yao , S. et al. Review on Cyber-Physical Systems IEEE/CAA J. Autom. Sin. 4 1 2017 27 40 10.1109/JAS.2017.7510349
- Wang , L. , Törngren , M. , and Onori , M. Current Status and Advancement of Cyber-Physical Systems in Manufacturing J. Manuf. Syst. 37 2015 517 527 10.1016/j.jmsy.2015.04.008
- Lozano , C.V. and Vijayan , K.K. Literature Review on Cyber Physical Systems Design Procedia Manuf. 45 2019 2020 295 300 10.1016/j.promfg.2020.04.020
- Broy , M. 2010
- Glaessgen , E.H. and Stargel , D.S. The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles Collect. Tech. Pap. - AIAA/ASME/ASCE/AHS/ASC Struct. Struct. Dyn. Mater. Conf. 2012 1 14 10.2514/6.2012-1818
- Hribernik , K. , Cabri , G. , Mandreoli , F. , and Mentzas , G. Autonomous, Context-Aware, Adaptive Digital Twins—State of the Art and Roadmap Comput. Ind. 133 2021 103508 10.1016/j.compind.2021.103508
- Rahim , M.A. , Rahman , M.A. , Rahman , M.M. , Asyhari , A.T. et al. Evolution of IoT-Enabled Connectivity and Applications In Automotive Industry: A Review Veh. Commun. 1 2020 100285 10.1016/j.vehcom.2020.100285
- Rayes , A. , Salam , S. , and Edition , S.
- Söderberg , R. , Wärmefjord , K. , Carlson , J.S. , and Lindkvist , L. Toward a Digital Twin for Real-Time Geometry Assurance in Individualized Production CIRP Ann. - Manuf. Technol. 66 1 2017 137 140 10.1016/j.cirp.2017.04.038
- Schmid , J. and Pichler , R. Seamless Data Integration in the CAMNC Process Chain in a Learning Factory Procedia Manuf. 45 2020 31 36 10.1016/j.promfg.2020.04.038
- Muniraj , S.P. and Xu , X. An Implementation of OPC UA for Machine-To-Machine Communications in a Smart Factory Procedia Manuf. 53 2021 52 58 10.1016/j.promfg.2021.06.009
- Schmid , J. et al. Acquisition of Machine Tool Data Via the Open Source Implementation open62541 for OPC-UA Procedia CIRP 102 2021 303 307 10.1016/j.procir.2021.09.052
- Schleipen , M. , Gilani , S.S. , Bischoff , T. , and Pfrommer , J. OPC UA & Industrie 4.0 - Enabling Technology with High Diversity and Variability Procedia CIRP 57 December 2016 315 320 10.1016/j.procir.2016.11.055
- Liu , C. , Vengayil , H. , Lu , Y. , and Xu , X. A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect J. Manuf. Syst. 51 April 2019 61 74 10.1016/j.jmsy.2019.04.006
- Adolphs , P. , Bedenbender , H. , Dirzus , D. , Ehlich , M. , et al. 2015
- Martins , A. , Lucas , J. , Costelha , H. , and Neves , C. Developing an OPC UA Server for CNC Machines Procedia Comput. Sci. 180 2019 2021 561 570 10.1016/j.procs.2021.01.276
- Jo , G. , Jang , S.H. , and Jeong , J. Design and Implementation of Cpps and Edge Computing Architecture Based on OPC UA Server Procedia Comput. Sci. 155 2018 2019 97 104 10.1016/j.procs.2019.08.017
- Lee , C. , Choi , K. , Kim , C. , and Han , S. Computational Investigation of Flow Separation in a Thrust-Optimized Parabolic Nozzle During High-Altitude Testing Comput. Fluids 197 2020 104363 10.1016/j.compfluid.2019.104363
- Storz , J.F. and Bautista , N.M. Altitude Acclimatization, Hemoglobin-Oxygen Affinity, and Circulatory Oxygen Transport in Hypoxia Mol. Aspects Med. October 2021 101052 10.1016/j.mam.2021.101052
- Martel , A. , Scholl , F. , and Weierter , D. 2018 10.4271/2018-32-0033.Abstract
- Aslan , K.M. , Bin Che Ghani , S.A. , Sazali , N.B. 2020
- Anwar , S. Ghani , C. , Kettner , M. , and Aslan , F. 2020
- Mahnke , M. Wolfgang; Leitner, Stefan-Helmut; Damm, OPC Unified Architecture, 1 st editio Berlin Springer 2009
- Cavalieri , S. and Chiacchio , F. Analysis of OPC UA Performances Comput. Stand. Interfaces 36 1 2013 165 177 10.1016/j.csi.2013.06.004
- Silitonga , A.S. et al. Evaluation of the Engine Performance and Exhaust Emissions of Biodiesel-Bioethanol-Diesel Blends Using Kernel-Based Extreme Learning Machine Energy 159 2018 1075 1087 10.1016/j.energy.2018.06.202
- Lucato , W.C. , Pacchini , A.P.T. , Facchini , F. , and Mummolo , G. Model to Evaluate the Industry 4.0 Readiness Degree in Industrial Companies IFAC-PapersOnLine 52 13 2019 1808 1813 10.1016/j.ifacol.2019.11.464