The paper shows the concept of Serbian Industry 4.0 Model based on cyber-physical manufacturing metrology model (CPM3) and an integrated approach to manufacturing quality. The paper presents two directions of research: Virtual optimization of CAI process parameters for the sculptured surface inspection and Intelligent model for Inspection Planning on CMM.
The digitalization efforts of the industry has initialised several scenarios at the industrial company level. It had started at the beginning of the 3rd Industrial Revolution, and by now we may remember some good or best practices, while also can remember experienced pitfalls and bottlenecks. Since the past 3 years has demonstrated the world-wide push for the 4th Industrial Revolution driven technology adoption, new questions ought to be answered by politicians, national economy decision-makers, scientists and ecosystem partners from all areas and sectors. Hungary had experienced both success stories and drawbacks from the past of industrial automation efforts. The present status of the Hungarian National INDUSTRY4.0 Technology Platform is summarized with the agenda of the freshly formed working groups. Some comments and messages have been selected regarding the robotics topics, as seen from the international opinions. The future plans are strategic in their nature, they ought to raise the innovation and profitability of the Hungarian national ecosystem. With national and international project partners, actions are taken to escort, to coach, to push and to drive more industrial SME-s to become winners in the course of the 4th Industrial Revolution. The paper introduces the main aspects of the platform, and their description parts were prepared by the experts in MTA SZTAKI, who planned, constructed and defined the details.
The dynamic characteristics of spindle-holder-tool assembly is one of the most important factors that have considerable influence on cutting process stability, quality of machined surface, tool life, material removal rate, etc. In order to determine the stable cutting conditions it is essential knowledge of the tool point frequency response function (FRF). The objective of this study is development of a two different artificial intelligence methods, namely, artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) as a potential modelling techniques for prediction of natural frequencies of tool controlled mode. First of all, the natural frequencies of the tool controlled mode for limited combinations of tool overhang length and tool diameter were identified experimentally. The results were used to train an ANN and ANFIS models and both models were compared for their prediction capability with the experimentally determined data. Regarding the results, ANN and ANFIS models were found to be capable of very accurate predictions of natural frequencies of the tool controlled mode.
Cyber-Physical Systems integrate computation, networking, and physical dynamics. Systems and computer science has provided a solid foundation for spectacular progress in modeling of engineering software application for real-time and embedded systems. This paper discusses and analyses the possibilities of using UML and its profiles to model cyber-physical systems. Two approaches for modeling of cyber-physical components based on the UML profile for system engineering – SysML and on the MARTE profile for analysis and modeling of real-time systems are respectively described. The presented approaches are illustrated with a simple example for modeling of feedback level control system. Finally some conclusions are made.
Industry 4.0 offers an unprecedented opportunity for transformational success, but companies must have plant floor software that is ready for that journey. The fact that Industry 4.0 is already predicted means companies can prepare themselves now. This paper helped companies understand what they need to drive manufacturing in an IIoT world and the new role of manufacturing operations in the enterprise. It also discussed what Smart Manufacturing means and why companies should start the journey now, actions executives should take to address the convergence of IT and automation, and key criteria for selecting a MOM partner to support next-generation business solutions.
This paper attempts to provide a transparent and, if possible, a formal hierarchy of the main types of mathematical models used in the description of dynamic processes inside, at first glance, different systems. It is emphasized that the mathematical modeling is a natural and universal environment for effective analysis of system processes of different nature. From our point of view, the term "system analysis" means the methodology for classification of real systems (physical, biological, economic, social, etc.), which is based on the classification of mathematical models that are used to describe these systems.
X-ray diffraction, optical and electron microscopy were used to analyze microstructural variations in the surface layers of martensite chromium containing steels after low-energy, high-current-density ion implantation. These data show that nitrogen implantation produces solid solutions and precipitates of new phases in surface layers that are several micrometers thick. Phases formed are controlled by the virgin microstructure of blocks, the temperature of implantation and the ion fluence. The influence of processing length and ion beam current density are also considered.
In this paper, the capacity of additive manufacturing in the medical engineering will be considered in order the fourth industrial revolution, industry 4.0. The benefits of additive manufacturing, particularly individualization and sustainability, will be discussed and the particular demands of medical engineering are mentioned in relating to the manufacturing technology. Also, the challenges and technical lacks of the technology, mechanical properties, will be analyzed due to the scientific experiments and technical reports. The solutions for the problems are considered briefly and the alternative systems or processes will be obtained regarding the medical application. This research presenting the starting steps of the new project which is planned for next years, in the Institute of Materials and Processes, IMP, at Karlsruhe University of Applied Sciences.
An algorithm for numerical analysis of multi-parametric regression models is introduced. It is intended for software realization mainly to offer an user-friendly environment for analysis, appropriate to/related to future multi-criteria optimization. The analysis is performed via visualizing various fragments from the domain supported by different tools and editors. The definition of the algorithm is followed by a test sample for analysis in the distribution of hardness of ion nitriding instrumentation, class heat resistant steel.
Two approaches to a new factor of production – information – are defined. The modern system of factors of production and income, in which information is the only resource that can have unlimited number of participants of the global economy, is represented. It is proved that information activity has a number of features which distinguish it from other activities due to specific of new kind of social division of labor. The essence of the phenomenon of asymmetric information and information situations that arise during negotiations and making bargains is analyzed. Classification of information asymmetry on different criteria is proposed. Actions to prevent threats to information are proposed. It is determined that the availability of the information resources deficit can not be regarded as a question of it’s "non-participation" in global development. The statement of the problem under the new ideology of the current stage of globalization is the presence of fixing the problem, whose solution is the key element of forms, rates of entering the country in the new world structure.
The present is an age of technical progress, the rapid development of new technologies and digital transformation in the industry. In the professional experience is often mentioned as the fourth industrial revolution and there is generally used the term "Industry 4.0". The article describes the current state of the problem in area of management and trends and perspectives of management of complex structures using Business Intelligence (BI). At the end of the article is given a summary of requirements that must be implemented for the possibility of establishing a compatible management system that link all elements of the marketing chain.
In this article we consider the need to work with all knowledge. For Industry 4.0, in particular for micro-companies (family) is compulsory transfer of the knowledge to them. This revolutionary change will free many works places. Create new jobs for mathematicians and physicists Mathematical Physics i.e. digitalization of business by “smart factories” and we introduced these ideas to micro-foundry.
The main issues considered in this paper are: social innovation: the approach to increase financial participation of energy companies in the development of municipalities and regions; financial basis of social partnership between the enterprises of fuel and energy complex and regional authorities.
The Hannover Fair of 2011 opened a new era in the German industry: this is when Industrie 4.0, was first published. The series of innovations and developments in information and communication technology, which in turn affects the economic players, thus influencing regional competitiveness. Industrie 4.0 is an imagined future, which in my opinion if a direct or indirect was will have a fundamental influence on smart cities and their environments and regions, given that their primary goal is improving the competitiveness of a country. In the thesis I will provide an overview of the Global Competitiveness Index of the World Economic Forum and the Technisches Universität Wien’s criteria for smart towns. I will establish a statistical correlation between the towns and their countries listed in the two rankings. I will point out how dominant the innovations affecting competitiveness are in these countries and how these may facilitate the implementability of Industrie 4.0. Finally, using cluster analysis I will take a look at the factors that contribute to the cities relative competitiveness.
The article discusses the relationship between ethnic and religious differences through the prism of power, hate speech and national identity. The author concludes that ethno-religious variety in Bulgaria continues to be perceived passively, as something given, and not actively, as a resource for nation building. The author outlines certain problems engendered by the predominantly Muslim immigration pressure on Europe.