Automation systems and integration � Equipment behaviour catalogues for virtual production system

2020 ◽  
2021 ◽  
pp. 24-30
Author(s):  
A.B. Istomin ◽  
I.N. Gemba ◽  
I.V. Lizunov

The article analyzes the influence of errors from elastic deformations on the accuracy of processing in the conditions of complex automation. Different variants of multi-tool processing are considered: parallel processing, when different tools are alternately, one after the other, involved in the processing of the workpiece surfaces, and parallel-sequential processing, when different surfaces of the workpiece are processed simultaneously by several tools located in the working position. Design automation in machine-building production is part of the complex problem of automation of engineering work in all areas of the functioning of a modern production system. Therefore, when creating design automation systems, its connections in the general complex of automation of engineering activities in the production cycle should be taken into account. In general, the automation of the engineer's work is task planning, design and technological preparation of production, and management of the production system. The choice of favorable cutting modes for multi-tool processing is a difficult task, since, along with taking into account the features of each individual tool, it is necessary to make a general analysis of the entire setup, i.e. the set of tools used on the machine, and the distribution of processing transitions among them. Machine-building production is currently characterized by the desire to constantly update the range of released products. The requirements of multi-product manufacture can be met under the condition of its automation, which covers both the automation of production preparation and management. The article provides recommendations for reducing the error from elastic deformations in the conditions of complex automation. English version ofthe article is available at URL: https://panor.ru/articles/multi-tool-machining-in-complex-process-automation/65225.html


Procedia CIRP ◽  
2018 ◽  
Vol 67 ◽  
pp. 13-17 ◽  
Author(s):  
Behrang Ashtari Talkhestani ◽  
Nasser Jazdi ◽  
Wolfgang Schlögl ◽  
Michael Weyrich

Author(s):  
Rakay Robert ◽  
Visnovsky Martin ◽  
Galajdova Alena ◽  
Simsik Dusan

Urgency of the research. Modern trends in the industrial communication focus on implementation of new communication protocols, wireless data transfer at reduced costs. Communication part of every automation system is crucial and reliability of these systems is very important. Target setting. When designing automation systems and solving connection of different devices, developers have to solve the various aspects as addressing, data rates, data security, etc. The modern Ethernet based communication protocols and data transfer technologies provide significant cost and work reduction. Actual scientific researches and issues analysis. To prepare this paper, different publicly available datasheets and experimental solutions were analyzed as well as conclusions of our previous experiments were used to create the knowledge base about this research topic. Uninvestigated parts of general matters defining. Since there are many different communication solutions, wired and wireless too, and every manufacturer of industrial devices provides its own best solution for communication there is large amount of solutions. This paper is insufficient to describe them all. The research objective. In this article, different communication and connection technologies were analyzed for future im-plementation to an existing experimental production system at the Department of Automation, Control and Human-Machine Interactions. The statement of basic materials. To integrate an existing model of industrial production system to the concept of the Industry 4.0 it is necessary to implement the newest communication technologies. Using Ethernet-based communication protocol, such as Profinet with combination of IO-Link provides good basis to solve this issue. Conclusions. The proposed paper provides possibilities of extending the communication interface for the FMS-500 experimental system. This system is currently based on programmable controllers S7-300 and the PROFIBUS communication inter-face. The planned rebuilding of the assembly system involves the exchange of programmable controllers, the expansion of communication protocols and the integration of new functionalities.


2021 ◽  
Vol 11 (5) ◽  
pp. 2319
Author(s):  
Unai Gangoiti ◽  
Alejandro López ◽  
Aintzane Armentia ◽  
Elisabet Estévez ◽  
Marga Marcos

The continuous changes of the market and customer demands have forced modern automation systems to provide stricter Quality of service (QoS) requirements. This work is centered in automation production system flexibility, understood as the ability to shift from one controller configuration to a different one, in the most quick and cost-effective way, without disrupting its normal operation. In the manufacturing field, this allows to deal with non-functional requirements such as assuring control system availability or workload balancing, even in the case of failure of a machine, components, network or controllers. Concretely, this work focuses on flexible applications at production level, using Programmable Logic Controllers (PLCs) as primary controllers. The reconfiguration of the control system is not always possible as it depends on the process state. Thus, an analysis of the system state is necessary to make a decision. In this sense, architectures based on industrial Multi Agent Systems (MAS) have been used to provide this support at runtime. Additionally, the introduction of these mechanisms makes the design and the implementation of the control system more complex. This work aims at supporting the design and development of such flexible automation production systems, through the proposed model-based framework. The framework consists of a set of tools that, based on models, automate the generation of control code extensions that add flexibility to the automation production system, according to industry 4.0 paradigm.


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