Smart Joining/Smart Joining - Concept for Mechanical Joining 4.0

2016 ◽  
Vol 106 (10) ◽  
pp. 705-711
Author(s):  
M. Jäckel ◽  
T. Falk ◽  
T. Grimm ◽  
D. Prof. Landgrebe
Keyword(s):  
Boundary Conditions ◽  
Mathematical Models ◽  
Production System ◽  
Cyber Physical Systems ◽  
Tool Design ◽  
Mechanical Joining ◽  
Physical Systems ◽  
Various Boundary Conditions ◽  
New Approaches ◽  
Automotive Production

Der Fachbeitrag beschreibt Zusammenhänge zwischen verschiedenen – in einer Automobilproduktion relevanten – Randbedingungen und dem Fügeergebnis beim Halbhohlstanznieten in Form von mathematischen Modellen. Diese Modelle sowie neue Ansätze bei der Fügewerkzeuggestaltung bilden die Grundlage für die dargelegten Konzepte zur Weiterentwicklung der mechanischen Fügetechnik hin zu cyber-physischen Systemen, die mit anderen Prozessen in der Automobilproduktion vernetzt sind.   This article describes in mathematical models how various boundary conditions in an automotive production system and the joining result for self-pierce riveting are related. These models and new approaches in the joining tool design are the basis for the described concepts for developing mechanical joining techniques to enable cyber-physical systems linked to other processes in automobile production.

scholarly journals Using a semi-automated job-shop production system model to prepare students for the challenges of Industrial Cyber-Physical Systems

2019 ◽  
Vol 31 ◽  
pp. 377-383
Author(s):  
Agnes Pechmann ◽  
Jeffrey Wermann ◽  
Armando Walter Colombo ◽  
Maximilian Zarte
Keyword(s):  
Production System ◽  
Job Shop ◽  
Cyber Physical Systems ◽  
System Model ◽  
Physical Systems

scholarly journals Smart search for optimal technological processes in cyber-physical systems

2018 ◽  
Vol 224 ◽  
pp. 02110
Author(s):  
Vasiliy Golovin
Keyword(s):  
Technological Process ◽  
Production System ◽  
Physical System ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Additive Technologies ◽  
Cyber Physical System ◽  
Physical Systems ◽  
Technological Processes ◽  
Digital Production

Digital production dictates new approaches to the organization of technological processes, including the development of cyber-physical systems within the framework of Industry 4.0. The development of these systems involves the use of not only classical methods, but also additive technologies in production. The article deals with the concept of a smart production system to find the optimal technological process, which is based on the user defined constraints and expert data of the cloud cyber-physical system.

scholarly journals Case Study of Building a Digital Twin for a Production System

2021 ◽  
Vol 29 (49) ◽  
pp. 51-58
Author(s):  
Fedor Burčiar ◽  
Pavel Važan ◽  
Simona Pulišová
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
Production Systems ◽  
Simulation Models ◽  
Cyber Physical Systems ◽  
Production Data ◽  
Physical Systems ◽  
Production Processes ◽  
Gathering Data

Abstract As the term of Industry 4.0 becomes more and more relevant with each passing day, it is up to researchers and companies to find solutions to integrating all the technologies it covers. One of those technologies, even though not highly developed, is simulation and building Cyber-Physical Systems for gathering data and improving the production processes. In the research described in this paper, we focused on integrating production data with simulation models in order to make the process of understanding and learning about complex production systems as simple and as quick as possible. This paper contains three sections. The first one introduces the theoretical fundamentals of our research. The second one focuses on the methods used to create a digital model of production system. The final one discusses the results of the conducted experiments, and their impact on further research.

scholarly journals Integrated Monitoring System of Production Processes

2016 ◽  
Vol 7 (4) ◽  
pp. 86-96 ◽  
Author(s):  
Przemysław Oborski
Keyword(s):  
Data Processing ◽  
Production Process ◽  
Monitoring System ◽  
Production System ◽  
Reference Model ◽  
Cyber Physical Systems ◽  
Future Application ◽  
Manufacturing Processes ◽  
Integrated Monitoring ◽  
Physical Systems

Abstract Integrated monitoring system for discrete manufacturing processes is presented in the paper. The multilayer hardware and software reference model was developed. Original research are an answer for industry needs of the integration of information flow in production process. Reference model corresponds with proposed data model based on multilayer data tree allowing to describe orders, products, processes and save monitoring data. Elaborated models were implemented in the integrated monitoring system demonstrator developed in the project. It was built on the base of multiagent technology to assure high flexibility and openness on applying intelligent algorithms for data processing. Currently on the base of achieved experience an application integrated monitoring system for real production system is developed. In the article the main problems of monitoring integration are presented, including specificity of discrete production, data processing and future application of Cyber-Physical-Systems. Development of manufacturing systems is based more and more on taking an advantage of applying intelligent solutions into machine and production process control and monitoring. Connection of technical systems, machine tools and manufacturing processes monitoring with advanced information processing seems to be one of the most important areas of near future development. It will play important role in efficient operation and competitiveness of the whole production system. It is also important area of applying in the future Cyber-Physical-Systems that can radically improve functionally of monitoring systems and reduce the cost of its implementation.

Emerging Cyber-Physical Systems : An Overview

2018 ◽  
pp. 306-316
Author(s):  
Okolie S.O. ◽  
Kuyoro S.O. ◽  
Ohwo O. B
Keyword(s):  
Health Care ◽  
Economic Benefit ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Cyber Physical System ◽  
Economic Sectors ◽  
Strategic Research ◽  
Physical Systems ◽  
Security Issues ◽  
Wide Range

Cyber-Physical Systems (CPS) will revolutionize how humans relate with the physical world around us. Many grand challenges await the economically vital domains of transportation, health-care, manufacturing, agriculture, energy, defence, aerospace and buildings. Exploration of these potentialities around space and time would create applications which would affect societal and economic benefit. This paper looks into the concept of emerging Cyber-Physical system, applications and security issues in sustaining development in various economic sectors; outlining a set of strategic Research and Development opportunities that should be accosted, so as to allow upgraded CPS to attain their potential and provide a wide range of societal advantages in the future.

Security of Cyber-Physical Systems: A Generalized Algorithm for Intrusion Detection and Determining Security Robustness of Cyber Physical Systems using Logical Truth Tables

2013 ◽  
Vol 9 ◽  
Author(s):  
Curtis G. Northcutt
Keyword(s):  
Intrusion Detection ◽  
Cyber Security ◽  
Logical Truth ◽  
Cyber Physical Systems ◽  
Security Model ◽  
Security Measures ◽  
Physical Systems ◽  
Multiple Signal ◽  
Security Attack ◽  
Truth Tables

The recent proliferation of embedded cyber components in modern physical systems [1] has generated a variety of new security risks which threaten not only cyberspace, but our physical environment as well. Whereas earlier security threats resided primarily in cyberspace, the increasing marriage of digital technology with mechanical systems in cyber-physical systems (CPS), suggests the need for more advanced generalized CPS security measures. To address this problem, in this paper we consider the first step toward an improved security model: detecting the security attack. Using logical truth tables, we have developed a generalized algorithm for intrusion detection in CPS for systems which can be defined over discrete set of valued states. Additionally, a robustness algorithm is given which determines the level of security of a discrete-valued CPS against varying combinations of multiple signal alterations. These algorithms, when coupled with encryption keys which disallow multiple signal alteration, provide for a generalized security methodology for both cyber-security and cyber-physical systems.

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