Discussed problems are solved in Arcelor Mittal Ostrava a.s. company. VSB-TU Ostrava has its share on this solution in the frame of grant project TIP. The project has several goals, which relate with primary cooling system area in CSCD (Continuous Steel Casting Device). One target is concerned about surface quality of crystallizer's desks, also from point of view of its quality evaluation.in terms of project solution was solved a crystallizer's desks defects catalogue and methodology of their evaluation. Also was made methodology for quality evaluation of narrow crystallizer's desks, which are dismantled in maintenance area. There were proposed a laser scanning of the crystallizer's desks surface with usage of Laser sensor. In cooperation with DASFOS CZ, s.r.o. was proposed new method of inner crystallizer's chamber measuring. In this paper are presented partial results of this solution, including first results from prototyped measuring device.Keywords: steel, casting, crystallizer, quality, laserOmawiany problem został rozwiązany przez firmę Arcelor Mittal Ostrava. VSB-TV Ostrava posiada swój udział w tym rozwiązaniu będący wynikiem realizacji projektu TIPFR-TI1/319 finansowanego częściowo przez Ministerstwo Handlu i Przemysłu Republiki Czech. Projekt skupia się na kilku celach związanych z maszyną COS (ciągłego odlewania stali). Jeden z celów projektu dotyczy jakości powierzchni płyt krystalizatora z punktu widzenia oceny tej jakości. W rezultacie powstał katalog wad płyt krystalizatora wraz z metodologią ich oceny. Zaproponowana została metoda oceny jakości wąskich płyt krystalizatora zdemontowanych na czas konserwacji. Zaproponowano skanowanie powierzchni płyt krystalizatora z wykorzystaniem czujnika laserowego. We współpracy z DASFOC CZ. S.r.o. została zaproponowana nowa metoda pomiaru wewnętrznej przestrzeni krystalizatora. W pracy przedstawiono wybrane wyniki tego rozwiązania wraz z wstępnymi wynikami uzyskanymi przy pomocy prototypowego urządzenia pomiarowego.
In the paper we present measurements of transport physical parameters such as thermal conductivity, diffusivity and specific heat capacity and dc electrical conductivity as well as the mechanical values E*, tg δ for rubber compounds filled by different ratio of silica - carbon black fillers. From presented results it is possible to see that proper filler concentration (rubber blend - silica - carbon black) rising all thermal parameters as well as mechanical properties represented by complex Young’s modulus and so, maintains the good mechanical parameters of the blend and finally it also lowers the electrical resistance. All trends are favourable for the improvement of useful rubber blends properties.
This article deals with the issue of computer vision on a rolling mill. The main goal of this article is to describe the designed and implemented algorithm for the automatic identification of the character string of billets on the rolling mill. The algorithm allows the conversion of image information from the front of the billet, which enters the rolling process, into a string of characters, which is further used to control the technological process. The purpose of this identification is to prevent the input pieces from being confused because different parameters of the rolling process are set for different pieces. In solving this task, it was necessary to design the optimal technical equipment for image capture, choose the appropriate lighting, search for text and recognize individual symbols, and insert them into the control system. The research methodology is based on the empirical-quantitative principle, the basis of which is the analysis of experimentally obtained data (photographs of billet faces) in real operating conditions leading to their interpretation (transformation into the shape of a digital chain). The first part of the article briefly describes the billet identification system from the point of view of technology and hardware resources. The next parts are devoted to the main parts of the algorithm of automatic identification—optical recognition of strings and recognition of individual characters of the chain using artificial intelligence. The method of optical character recognition using artificial neural networks is the basic algorithm of the system of automatic identification of billets and eliminates ambiguities during their further processing. Successful implementation of the automatic inspection system will increase the share of operation automation and lead to ensuring automatic inspection of steel billets according to the production plan. This issue is related to the trend of digitization of individual technological processes in metallurgy and also to the social sustainability of processes, which means the elimination of human errors in the management of the billet rolling process.
Thermal Interface Materials (TIMs) play a key role in the thermal management of microelectronic devices by providing a path of low thermal impedance between heat generating devices and heat dissipating components (heat spreadedsink). In addition, TIMs oilen provide mechanical coupling between the silicon device and the heat spreadedsink. During device operation, the adhesive joint between the heat generating device and heat spreadedsink is subjected to thermomechanical stresses due to differences in thermal expansion coefficients of the silicon device and the heat spreader material. The adhesive joint can consequently delaminate or debond kom the mating surfaces causing a significant increase in thermal impedance across the thermal interface material. Hence, a TIM needs to offer improved thermal performance as well as enhanced reliability. In addition to these characteristics, several other requirements such as adhesion strength, response to different assembly parameters, and volatile content need to he considered and addressed during the development of a TIM. This paper discusses the development of such an interface material and a comprehensive performance evaluation of the new TIM.
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