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Publikacije (121)

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2020.
0
I. Karabegović, V. Dolecek

Mobile robots are increasingly becoming the subject of research and a very important area of science, so that the 21st century will be named as the century of development of service robots. Mobile robots are an excellent “System Engineering” research example because it includes a lot of scientific research, namely in the area of mechanical engineering, electrical engineering, electronics, computer science, social science, and more. As mobile robots perform their tasks in the same environment as humans, mobile robots should have the abilities that people have. The mobile robots should be able to recognize faces, gestures, signs, objects, speech and atmosphere. Successful realization set of tasks results in bypassing obstacles without collision and destruction in the shortest possible time and distance. They should communicate with people on the basis of emotion. The range of mobile robots application is huge. Mobile robots have found application in many areas, but this chapter will cover the following distribution of mobile robots areas of application: medicine, agriculture, defense, logistics, construction, demolition, professional cleaning, space exploration, education and scientific research. The price of robots is declining steadily and they are coming into ever wider use. It is only a matter of time before robots become available to the population of today's high school students, just as it happened with computers and cell phones.

2020.
0
I. Karabegović, E. Karabegović

All companies in the world are facing global competition. In order to keep up with the competition and meet the increasing demands of the market, it is essential that they use new technologies in the production processes (i.e., to implement Industry 4.0). The chapter presents smart sensors that automatically detect errors during the production process. Smart sensors communicate via IO-Link in stable communication, whereas the technology itself offers numerous practical benefits in everyday industrial work. Sensors are excellent data collectors and highly intelligent analysts that share their knowledge with their environment through an integrated real-time IO-Link interface. With the implementation of smart sensors in production systems, they become flexible production systems, contribute to the rapid start-up of the process, are automatically adjusted, enable digital data transmission, and can verify the device and the records.

I. Karabegović, Arts Bosnia, Herzegovine, E. Karabegović

: The implementation of the fourth industrial revolution Industry 4.0 is based on the following technologies: internet of tings , cloud computing, big data, robotics & automation, intelligent sensors, 3D printers and radio frequency identification – RFID. The robotics is considered as the core technology. Second-generation industrial robots – collaborative robots have been implemented in the last two years. Their implementation is increasing every year and has reached about 3% of the total application of industrial robots in the world. The development of new technologies has contributed to the development and implementation of collaborative service robots AGV (Automated Guided Vehicle), which is one of the most significant qualitative shifts in the automation of logistic in production processes, assembly lines, warehouses and all other operations where transport is necessary. Their application is motivated by technical and economic reasons, such as: improving the quality of finished products, reducing the production of the finished product, increasing the homogeneity rate - constant quality, reducing the number of workers to carry out tedious transport, increasing the safety of workers in the work process, minimizing production costs and overall maintenance. The paper describes the trend of implementing service robots for professional use, with particular reference to collaborative service robots in logistics. Some design solutions for collaborative service robots in logistics already implemented in the industry are presented.

E. Husak, A. Kovacevic, I. Karabegović

Clearances between rotating and stationary parts in a screw compressor are set to ensure the efficient operation and allow for thermal deformation without unwanted contacts. The change in clearances is caused by both pressure and temperature changes within the machine. If clearances are too large, the increased leakage flows will reduce efficiency. However, if the nominal clearances are too small, contacts between the rotating and stationary parts can occur as a consequence of rotor and casing deformations. In order to determine the operational clearances, a numerical analysis of deformation of screw compressor rotors and casing has to be performed. This paper discusses how the temperature of rotor and casing surfaces calculated from the one-dimensional chamber model in the SCORG could be used as a boundary conditions for a steady state thermal and structural analysis of a screw compressor solid parts. Deformations of rotors and casing under temperature load were calculated using a commercial Finite Element Analysis code ANSYS. Operational clearance are estimated from these deformations and some recommendations for further work are proposed.

I. Karabegović, E. Karabegović, M. Mahmić, E. Husak

In the world of global competition, customers have increasing demands that companies must meet in order to remain active in the global market. For this reason, it is necessary to use new technologies in the production processes, i.e. to implement Industry 4.0. In other words, we need to create a connected company through the digital transformation that enables production processes to discover new ways to increase productivity and improve overall business performance. Companies need to get involved and start a digital system, and from supplier to customer. It is a key to the hidden value that can contribute to the company’s productivity, compliance, profitability, as well as the quality of the finished product, and eventually the introduction of flexible industrial automation of production processes. The aforementioned technologies and Internet of Things connect the physical and virtual world with a purpose to better collect and analyze data, transforming them into information that reaches decision-makers. To do this, it is necessary to implement smart sensors that provide information at all times. The implementation of Industry 4.0 in production processes is unthinkable without smart sensors and provides the following: faster product development time, lower overall costs, improved use of production processes and their optimization, as well as company risk management. The paper will outline the motives for the implementation of smart sensors and applications of smart sensors in production processes. Keywords: production process, smart sensor, Industry 4.0, production automation, digital transformation, flexible automation.

: In the last ten years, digital technology has significantly contributed to the change of people's lives worldwide, because its application has caused a rapid transformation of all aspects of human life, and especially fast transformation in the design, production, operation and maintenance of the production system, which caused an unexpected jump in productivity. It can be said that fourth industrial revolutions on-going process, which can be labelled a variety of ways, such as "intelligent factory", "smart industry" or "advance manufacturing". Development of the digital technologies in the last twenty years has introduced us from third in the fourth industrial revolution. The first time the term “Industry 4.0” appears in the Germany in year 2011 whose government promotes automation of production processes by introducing digital technologies. Germany is one of the most technologically developed countries in the world and it is logic that this revolution begins there. This example follows the other countries in the world. Fourth technological revolution depends on a number of new and innovative technological achievements. It is necessary to integrate production processes in all production phases and further applications by using ICT technologies for digitalization. The automation of production processes must include advanced sensors and intelligent robots that can be self-configured to be able to make specific product. It is necessary to collect large amounts of data to be analysed and used in the production processes.

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