Analysis of Distributed-Ledger-Technology for the Exchange of Design, Production and Simulation Data in Roll Forming

Digitalization in the metal forming industry needs to be improved to achieve the goals set by Industrie 4.0. Distributed-Ledger-Technology (DLT) has been identified as a promising foundation for tackling the underlying problem of consistent information exchange. DLT-based solutions have already been developed, but none explicitly covers the roll forming use-case. This paper presents a Hyperledger-Fabric-based blockchain network to fill this research gap. This network is specifically designed for the roll forming industry, while still aiming to meet general information exchange requirements. The roll forming use-case is divided into the material supply chain and a design/simulation workflow. Participants and parameters in these two data transfer chains have been validated with the help of industry experts. Running the conceptualized network on an on-premise server has allowed for a detailed evaluation. Feedback provided by experts of the roll forming industry shows the potential of the presented network. Furthermore, the presented solution covers requirements often neglected by existing approaches like large data handling, compatibility to existing interfaces, secure communication, and access rights definition. In summary, this paper provides a pioneering implementation and evaluation of a DLT-based solution for the roll forming industry and, therefore, a foundation for the next steps towards Industrie 4.0.

[1]  Venkata Srinivasu Veesam,et al.  Security Enhancement of Digital Signatures for Blockchain using EdDSA Algorithm , 2021, 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV).

[2]  Alan McGibney,et al.  A DLT-based Trust Framework for IoT Ecosystems , 2020, 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security).

[3]  Bindhu Raj L,et al.  Integrity based Authentication and Secure Information Transfer Over Cloud for Hospital Management System , 2020, 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS).

[4]  Philipp Frey,et al.  Blockchain for forming technology – tamper-proof exchange of production data , 2019, IOP Conference Series: Materials Science and Engineering.

[5]  Birgit Vogel-Heuser,et al.  Concept and Evaluation of a Technology-independent Data Collection Architecture for Industrial Automation , 2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society.

[6]  A. Sedlmaier,et al.  Digitizing roll forming with smart sensors , 2019, PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019.

[7]  Stephen Lee,et al.  FastFabric: Scaling Hyperledger Fabric to 20,000 Transactions per Second , 2019, 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).

[8]  Peter Groche,et al.  A framework illustrating decision-making in operator assistance systems and its application to a roll forming process , 2018 .

[9]  Angelo De Caro,et al.  Hyperledger fabric: a distributed operating system for permissioned blockchains , 2018, EuroSys.

[10]  D. J. Mynors,et al.  Eco-efficiency of the cold roll formed product supply chain , 2006 .

[11]  Günther Pernul,et al.  EtherTwin: Blockchain-based Secure Digital Twin Information Management , 2021, Inf. Process. Manag..

[12]  Gongxuan Zhang,et al.  A Data Storage and Sharing Scheme for Cyber-Physical-Social Systems , 2020, IEEE Access.

[13]  O. Levillain Implementation Flaws in TLS Stacks: Lessons Learned and Study of TLS 1.3 Benefits , 2020, CRiSIS.

[14]  Robert Schulte,et al.  4.0 in metal forming – questions and challenges , 2019, Procedia CIRP.

[15]  Vladislav V. Fomin,et al.  Increasing the Utilization of Additive Manufacturing Resources through the Use of Blockchain Technology for a Production Network , 2018, Doctoral Consortium/Forum@DB&IS.