Next Article in Journal
Creep Failure of Reformer Tubes in a Petrochemical Plant
Previous Article in Journal
Research on the Friction Stir Welding of Sc-Modified AA2519 Extrusion
Open AccessArticle

A CPS-Based Simulation Platform for Long Production Factories

1
Scuola Superiore Sant’Anna, TeCIP Institute ICT-COISP Center, Via Moruzzi 1, 56124 Pisa, Italy
2
ASINCO GbbH—Advanced Solutions for Industrial Control Am Kiekenbusch 11a, 47269 Duisburg, Germany
*
Author to whom correspondence should be addressed.
Metals 2019, 9(10), 1025; https://doi.org/10.3390/met9101025
Received: 21 August 2019 / Revised: 18 September 2019 / Accepted: 19 September 2019 / Published: 21 September 2019
(This article belongs to the Special Issue Modeling and Simulation of Metal Processing)
Production technology in European steel industry has reached such a level, that significant improvements can only be reached by through process optimization strategies instead of separately improving each process step. Therefore, the connection of suitable technological models to describe process and product behavior, methods to find solutions for typical multi-criterial decisions, and a strong communication between involved plants is necessary. In this work, a virtual simulation platform for the design of cyber-physical production optimization systems for long production facilities focusing on thermal evolution and related material quality is presented. Models for describing physical processes, computers, software and networks as well as methods and algorithms for through process optimization were implemented and merged into a new and comprehensive model-based software architecture. Object-oriented languages are addressed and used because they provide modularity, a high-level of abstraction and constructs that allow direct implementation and usage of the cyber-physical production systems concepts. Simulation results show how the proper connection between models, communication, and optimization methods allows feasibility, safety and benefits of cyber-physical production systems to be established. Furthermore, the software architecture is flexible and general and thus, can be transferred to any steel production line as well as outside the steel industry. View Full-Text
Keywords: industry 4.0; smart factory; simulation platform; cyber-physical production systems; through process optimization; steel industry; long products industry 4.0; smart factory; simulation platform; cyber-physical production systems; through process optimization; steel industry; long products
Show Figures

Figure 1

MDPI and ACS Style

Iannino, V.; Colla, V.; Denker, J.; Göttsche, M. A CPS-Based Simulation Platform for Long Production Factories. Metals 2019, 9, 1025.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop