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Present and Future of Industrial Robotisation
13-24Views:454The following paper analyzing the installation of industrial robotisation in sectors and regions, in addition carry out forcastings on historical data. In recent years, automation and the use of industrial robotics have increased exponentially in the manufacturing sector. Given that companies prioritize enhanced production efficiency, quality assurance, and safety, it is evident that substantial investment and implementation of automation continue to occur in manufacturing facilities worldwide. The number of industrial robots globally has been growing steadily since 2010. However, the rate of growth has slowed from 2020 onwards. The impact of the Covid-19 epidemic was still felt in 2020, but the deployment of industrial robots increased significantly in 2021. Global industrial robot deployment is projected to continue to grow in the coming years, although the rate of increase may vary between regions and countries. The analysis showed a number of differences between regions in the number and growth rate of industrial robot deployments. Asia and Australia are the largest markets for robots and the number of robots deployed is expected to continue to grow in the future. Europe is the second largest market and, although growing at a slower rate, industrial robot deployment is also increasing steadily. In the Americas, growth is slower than in other regions, but still increasing. Global growth trends suggest that there will be further growth in the coming years and that the deployment of industrial robots will become more widespread in different parts of the world.
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Neural Network Based Enveloping Model of Agricultural Tyre
214-222Views:174The vibration properties of agricultural tractor’s tyres significantly influence its response in terms of the exposure of the human operator to mechanical vibrations, which is still one of the key problems in the design and exploitation of tractors. The behaviour of the tyre in this sense is significantly influenced by the mechanism ofgeometric filtering of the short-wavelength unevenness of the unprepared ground mostly encountered by tractor during in-field operations. Herein, this aspect of tyre behaviour was studied with tyre rolling quasistatically over singular obstacle. Based on experimental results, neural network based model of tyre enveloping behaviour was developed. Main model properties are high computational efficiency, simplicity regarding number of input quantities and absence of the need for explicit parametrization etc. Main shortcomings of modelling approach used are high developing effort, labour-intensive experimental preparations and lack of flexibility regarding tyre design and operating parameters
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Liquidation of Public Procurement Due to Operative Regulations
1-8Views:237The aim of new Public Procurement law is to ensure the efficiency of appropriation public money. On new lwgal regulation public procurement procedure sbecome significantly faster and transparency and competition are increasing. Hence forward the rules of procedures under Europian Union limit won’t be standard. Innational pro curement procedures the rules are differentiated from estimate value. Important change in connection with valuation base dont he lowest price is succeeded by the method of proportion price and value.
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Examining Used and Sportswear Supply Chain Strategy and Indicators
86-98Views:357The following study presents the supply chain strategy of a second-hand and sportswear company in Hungary. The study discusses the main tasks of supply logistics, the level of logistics service, the main determining elements of the level of logistics service, and the measurement of customer satisfaction. From the first step of the process, we can fully follow the processes until the last activity. We can learn in detail about the sub-processes, such as: types of clothing collection, sourcing, warehousing, selection, disassembly, processing, receipt of goods and sales. The aim of the study is to make the processes more transparent for everyone.
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Defect Analysis of Bearings with Vibration Monitoring and Optical Methods
1-12Views:329Diagnosis of bearings with advanced methods gained remarkable roles in the previous years. This article focuses on the manufacturing defects and methods to reveal and classify them. During manufacturing several faults could emerge because of the grinding operation, tool wear and chatter vibration. Inproper handling of the bearing parts because of the collosion to each other and the storing box that causes deformation. To reveal these problems several methods are applied in industry. For deeper surface analysis nitric acid can be used to initate the finished surface of the roller then natrium-carbonate that nautralize the elements. Vibration analysis in its standard Fourier form is not a new achivement but other mathematical tools could be applied to condition monitoring such as wavelet transform. It is an efficient tool for analyzing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults on the bearing elements. In this article five different wavelets, Daubechies, Gaussian, Coiflet, Mexican hat, Meyer are compared according to the Energy to Shannon Entropy ratio criteria to reveal their efficiency for fault detection.
