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Geometrical accuracy is currently one of the important parameters regarding the machined surfaces of components used in modern technical equipment. Even though the WEDM technology belongs to the precise final machining technologies, the most demanding requirements for the geometrical accuracy of the machined surface are not always met. These geometrical deviations consequently manifest themselves not only in the assembly of particular parts of the final product but also in their operation. In addition, errors of the geometrical accuracy of the machined surface also have negative effect on the serviceability of the finished parts and their overall service life. Even though these shortcomings are only minimally reflected in planar cuts, the production of circular profiles is a problem in particular. The important factors causing this poor quality are the technological parameters in combination with the specific physical and mechanical properties of the workpiece and wire electrode. Experimental research was therefore focused on identifying the influence of selected technological parameters and material properties of the workpiece on the size of geometrical deviations of the machined surface that occur at WEDM using CuZn37 wire electrode. In general, it is also a serious problem to maintain the prescribed geometrical tolerance of the machined surface in a narrow tolerance field. By exceeding it, the product becomes unsatisfactory. However, the problem is also achieved quality, which significantly exceeds the expected values. This essentially reduces productivity and worsens the economic efficiency of production. For this reason, it is ideal to achieve the exact required quality of the machined surface in terms of geometrical accuracy. Therefore, an algorithm of simulation software was proposed, which includes empirically determined mathematical models, based on which the software can predict the necessary setting of technological parameters, derived from the dimensional and material properties of the workpiece and wire. The mentioned solution thus will bring the geometrical accuracy of the production of circular holes in a narrow tolerance field to the customer’s requirements with a significant increase of the economic efficiency of production.
Ľuboslav Straka; Ján Piteľ; Ivan Čorný. Influence of the main technological parameters and material properties of the workpiece on the geometrical accuracy of the machined surface at wedm. The International Journal of Advanced Manufacturing Technology 2021, 115, 3065 -3087.
AMA StyleĽuboslav Straka, Ján Piteľ, Ivan Čorný. Influence of the main technological parameters and material properties of the workpiece on the geometrical accuracy of the machined surface at wedm. The International Journal of Advanced Manufacturing Technology. 2021; 115 (9-10):3065-3087.
Chicago/Turabian StyleĽuboslav Straka; Ján Piteľ; Ivan Čorný. 2021. "Influence of the main technological parameters and material properties of the workpiece on the geometrical accuracy of the machined surface at wedm." The International Journal of Advanced Manufacturing Technology 115, no. 9-10: 3065-3087.
In the article, linear and nonlinear parameter identification methods were described relating to mathematical models of rotor oscillations for centrifugal pumps and turbochargers. For solving a nonlinear estimation problem, the combined use of several methods at each iteration step was proposed. In this regard, the determination of initial values for the estimated parameters was based on both the finite element and the discrete models. For studying the nonlinear rotor oscillations, a method for designing the discrete mathematical models was proposed based on the linear identification of equivalent masses using data obtained by the calculation of eigenfrequencies and mode shapes as a result of the finite element analysis. Using the artificial neural network, the methodology for estimating the inertia coefficients of rotor systems based on measurements of oscillation amplitudes at the frequency close to the critical one was developed. Finally, the proposed techniques were developed by implementing both quasilinear regression analysis and the artificial intelligence system. The corresponding program techniques were proved by the experimental research data of rotor oscillations using the accelerating and balancing stand with the vacuum camera. The developed methods and related program applications help evaluate the dynamic characteristics of pumps and turbochargers.
Vitalii Simonovskiy; Ivan Pavlenko; Jan Pitel; Denys Stremoukhov; Vitalii Ivanov. Methods and Algorithms for Calculating Nonlinear Oscillations of Rotor Systems. Recent Advances in Computational Mechanics and Simulations 2021, 63 -74.
AMA StyleVitalii Simonovskiy, Ivan Pavlenko, Jan Pitel, Denys Stremoukhov, Vitalii Ivanov. Methods and Algorithms for Calculating Nonlinear Oscillations of Rotor Systems. Recent Advances in Computational Mechanics and Simulations. 2021; ():63-74.
Chicago/Turabian StyleVitalii Simonovskiy; Ivan Pavlenko; Jan Pitel; Denys Stremoukhov; Vitalii Ivanov. 2021. "Methods and Algorithms for Calculating Nonlinear Oscillations of Rotor Systems." Recent Advances in Computational Mechanics and Simulations , no. : 63-74.
The article deals with the recent developments in the fuel industry, considering the permanent increasing requirements for fuel quality and environmental safety. The work aims to study various technological modes at the rectification unit to produce fuel bioethanol from lignocellulosic biomass. The main goals are to solve applied scientific problems of rational designing and technological optimization to obtain boundaries of energy consumption to ensure the quality of bioethanol sufficient for a consumer. Recent approaches for numerical simulation of chemical technological processes were applied to study the operating processes and optimize technological parameters. The plant model was designed from various modules that allow us to simulate technological processes efficiently and accurately for all the primary units of the rectification equipment. The methodology based on the activity coefficient UNIFAC model of phase equilibrium was applied. As a result, a mixture with 74% of bioethanol 9% of impurities was obtained in the brew column. In the epuration column, a mixture of 46% bioethanol and 2.2% of impurities was obtained in bottoms. Finally, in the alcohol column, the mass fraction of distillate of 96.9% and impurities of 2.7% were reached. The numerical simulation results can be applied in recent fuel technologies and designing the corresponding biofuel plants.
Oleksandr Liaposhchenko; Vitalii Marenok; Maksym Skydanenko; Ivan Pavlenko; Marek Ochowiak; Jana Mižáková; Ján Piteľ; Vitalii Storozhenko; Vasyl Smyrnov; Viacheslav Shmatenko. Modeling of Technological Processes for a Rectification Plant in Second-Generation Bioethanol Production. Processes 2021, 9, 944 .
AMA StyleOleksandr Liaposhchenko, Vitalii Marenok, Maksym Skydanenko, Ivan Pavlenko, Marek Ochowiak, Jana Mižáková, Ján Piteľ, Vitalii Storozhenko, Vasyl Smyrnov, Viacheslav Shmatenko. Modeling of Technological Processes for a Rectification Plant in Second-Generation Bioethanol Production. Processes. 2021; 9 (6):944.
Chicago/Turabian StyleOleksandr Liaposhchenko; Vitalii Marenok; Maksym Skydanenko; Ivan Pavlenko; Marek Ochowiak; Jana Mižáková; Ján Piteľ; Vitalii Storozhenko; Vasyl Smyrnov; Viacheslav Shmatenko. 2021. "Modeling of Technological Processes for a Rectification Plant in Second-Generation Bioethanol Production." Processes 9, no. 6: 944.
The assisted assembly of customized products supported by collaborative robots combined with mixed reality devices is the current trend in the Industry 4.0 concept. This article introduces an experimental work cell with the implementation of the assisted assembly process for customized cam switches as a case study. The research is aimed to design a methodology for this complex task with full digitalization and transformation data to digital twin models from all vision systems. Recognition of position and orientation of assembled parts during manual assembly are marked and checked by convolutional neural network (CNN) model. Training of CNN was based on a new approach using virtual training samples with single shot detection and instance segmentation. The trained CNN model was transferred to an embedded artificial processing unit with a high-resolution camera sensor. The embedded device redistributes data with parts detected position and orientation into mixed reality devices and collaborative robot. This approach to assisted assembly using mixed reality, collaborative robot, vision systems, and CNN models can significantly decrease assembly and training time in real production.
Kamil Židek; Ján Piteľ; Michal Balog; Alexander Hošovský; Vratislav Hladký; Peter Lazorík; Angelina Iakovets; Jakub Demčák. CNN Training Using 3D Virtual Models for Assisted Assembly with Mixed Reality and Collaborative Robots. Applied Sciences 2021, 11, 4269 .
AMA StyleKamil Židek, Ján Piteľ, Michal Balog, Alexander Hošovský, Vratislav Hladký, Peter Lazorík, Angelina Iakovets, Jakub Demčák. CNN Training Using 3D Virtual Models for Assisted Assembly with Mixed Reality and Collaborative Robots. Applied Sciences. 2021; 11 (9):4269.
Chicago/Turabian StyleKamil Židek; Ján Piteľ; Michal Balog; Alexander Hošovský; Vratislav Hladký; Peter Lazorík; Angelina Iakovets; Jakub Demčák. 2021. "CNN Training Using 3D Virtual Models for Assisted Assembly with Mixed Reality and Collaborative Robots." Applied Sciences 11, no. 9: 4269.
Information is transmitted by signals that have a material-and-energy nature, but it is not matter and not energy. The in-formation ensures communication of interacting objects of alive and inanimate nature. Information and communications technology underlie the new production paradigm called the “Industry 4.0”. In accordance with this paradigm, increased attention is paid to the pre-production phase on which relevant comprehensive solutions for the automation of design and production are taken, ranging from receiving an order for the product and ending with its shipment to the consumer. At the same time, issues of production management and efficient control of technological processes are solved, including scheduling and material requirement planning. At the pre-production phase, a virtual product is created (the information model of the real product in the form of a “virtual reality”), and at the execution phase a real (physical) product appears, which has a use value (possession utility). The implementation phase begins only after systemic computer modeling, simulation, and optimization of the technological process and operations, that is, after assessing both the time and the cost of virtual technological processes. In this regard, this research discusses topical issues of interaction between virtual information at the pre-production (preparatory) phase and new information arising at the implementation phase of physical technology in terms of improving the efficiency of computer-integrated production. It is shown that the information is a basic category not only in information (virtual) technology for its transformation and transmission, but also in physical technology of material production at the stage of manufacturing the appropriate material product, on the one hand, and (by analogy) in the process of distance learning of specialists, on the other hand (although information is not knowledgeable yet). Particular attention is paid to measuring procedure and assessing its accuracy; this work is not formal and requires the use of an intellectual system to ensure the accuracy of the information received.
Vasily Petrovich Larshin; Natalia V. Lishchenko; Olha B. Babiychuk; Jan Pitel. VIRTUAL REALITY AND REAL MEASUREMENTS IN PHYSICAL TECHNOLOGY. Applied Aspects of Information Technology 2021, 4, 24 -36.
AMA StyleVasily Petrovich Larshin, Natalia V. Lishchenko, Olha B. Babiychuk, Jan Pitel. VIRTUAL REALITY AND REAL MEASUREMENTS IN PHYSICAL TECHNOLOGY. Applied Aspects of Information Technology. 2021; 4 (1):24-36.
Chicago/Turabian StyleVasily Petrovich Larshin; Natalia V. Lishchenko; Olha B. Babiychuk; Jan Pitel. 2021. "VIRTUAL REALITY AND REAL MEASUREMENTS IN PHYSICAL TECHNOLOGY." Applied Aspects of Information Technology 4, no. 1: 24-36.
The article presents the issue of providing comfortable conditions for passengers in coaches. At the same time, the main goal is to increase the efficiency of thermal energy use with the combined heating supply system. The research considers the analysis of thermal modes using the developed, comprehensive approach. This approach is based on both the numerical simulation and the regression analysis. The use of CFD analysis allowed analyzing the fields of temperature and air velocity in a coach. The simulation established that the use of the combined heating supply system causes turbulent airflow. A multifactor experiment was conducted to evaluate the impact of the radiator temperature on the internal one at different external temperatures. For the radiator temperature in a range of 20 ÷ 70 °C and the external temperature of –8 ÷ 24 °C, coefficients of the developed regression model were established. The obtained values allow estimating the thermal condition of the coach. Besides, the analytical dependence for the control of the radiator temperature, depending on the external temperature was obtained. The corresponding regulating curves and the transfer function were built. Overall, practical recommendations for compliance with sanitary and hygienic standards and providing comfortable conditions for coaches were formulated.
Serhii Khovanskyi; Ivan Pavlenko; Jan Pitel; Oleg Bogdaniuk; Vitalii Ivanov. Parameter Identification of the Heat Supply System in a Coach. Recent Advances in Computational Mechanics and Simulations 2021, 643 -653.
AMA StyleSerhii Khovanskyi, Ivan Pavlenko, Jan Pitel, Oleg Bogdaniuk, Vitalii Ivanov. Parameter Identification of the Heat Supply System in a Coach. Recent Advances in Computational Mechanics and Simulations. 2021; ():643-653.
Chicago/Turabian StyleSerhii Khovanskyi; Ivan Pavlenko; Jan Pitel; Oleg Bogdaniuk; Vitalii Ivanov. 2021. "Parameter Identification of the Heat Supply System in a Coach." Recent Advances in Computational Mechanics and Simulations , no. : 643-653.
Due to the implementation of environmental regulations and the continual tightening up of the limits for pollutants in combustion systems, we are being forced to pay more attention to this area. A significant source of pollutants originating from the industry is, in particular, the formation of carbon dioxide (CO2) and nitrogen oxides (NOx) in combustion systems with air intake. The control of pollutant emissions has become a global concern due to the worldwide increase in the use of fossil fuels. Besides the fact that the insufficient combustion process has a significant share of emissions in the environment, it also reduces the overall efficiency and economy of the operation using this energy source. We encounter this problem also in the operation of gas melting furnaces. Therefore, the aim of this paper was to describe the results of experimental measurements of the amount of emissions produced during the gas melting furnace KOV 010/1998 operation, which is in practice predominantly used for the melting of Aluminium alloys. Experimental measurements were performed to design the most appropriate operating mode variant of the melting furnace with regard to maximizing its productivity and at the same time to minimizing the total amount of emissions produced during one melting cycle.
Ľuboslav Straka; Ján Piteľ; Peter Michalík; Matej Hrabčák. Maximizing the Productivity of a Gas Melting Furnace with Regard to the Ecological Efficiency of its Operation. Management Systems in Production Engineering 2020, 28, 292 -297.
AMA StyleĽuboslav Straka, Ján Piteľ, Peter Michalík, Matej Hrabčák. Maximizing the Productivity of a Gas Melting Furnace with Regard to the Ecological Efficiency of its Operation. Management Systems in Production Engineering. 2020; 28 (4):292-297.
Chicago/Turabian StyleĽuboslav Straka; Ján Piteľ; Peter Michalík; Matej Hrabčák. 2020. "Maximizing the Productivity of a Gas Melting Furnace with Regard to the Ecological Efficiency of its Operation." Management Systems in Production Engineering 28, no. 4: 292-297.
Vasily Larshin; Odessa National Polytechnic University; Natalia Lishchenko; Jan Pitel; Odessa National Academyof Food Technologies; Technical University of Kosice. INTERMITTENT GRINDING TEMPERATURE MODELINGFOR GRINDING SYSTEM STATE MONITORING. Applied Aspects of Information Technology 2020, 3, 58 -73.
AMA StyleVasily Larshin, Odessa National Polytechnic University, Natalia Lishchenko, Jan Pitel, Odessa National Academyof Food Technologies, Technical University of Kosice. INTERMITTENT GRINDING TEMPERATURE MODELINGFOR GRINDING SYSTEM STATE MONITORING. Applied Aspects of Information Technology. 2020; 3 (2):58-73.
Chicago/Turabian StyleVasily Larshin; Odessa National Polytechnic University; Natalia Lishchenko; Jan Pitel; Odessa National Academyof Food Technologies; Technical University of Kosice. 2020. "INTERMITTENT GRINDING TEMPERATURE MODELINGFOR GRINDING SYSTEM STATE MONITORING." Applied Aspects of Information Technology 3, no. 2: 58-73.
This paper is aimed at the investigation of the two-phase upflow hydrodynamics in prismatic-shape apparatuses with the variable cross-section. To reach this aim, the mathematical model of the gas flow was developed based on the averaged in time and space velocities of the turbulent flow. This model is supplemented by the research of the solid particle movement in this flow. The research novelty of the proposed research is in the obtained dependencies for determining the velocity field of solid particles in a pneumatic classifier, as well as for estimating the friction coefficient. Additionally, equations for determining the velocity field of a gas phase were developed by velocity components of the two-dimensional gas flow. As a result, related graphical characteristics of the gas flow in the pneumatic classifier were built, and trajectories of solid particles were defined with respect to the apparatus width and height. The approach for evaluating empirical parameters was proposed based on the quasi-linear regression analysis. Moreover, the conducted regression analysis allows identifying the parameters of the mathematical model by the results of numerical simulations. The proposed approach will allow optimizing the technological and operating parameters of the pneumatic classification process and design of the related separation equipment.
Andrii Lytvynenko; Ivan Pavlenko; Mykola Yukhymenko; Ruslan Ostroha; Jan Pitel. Hydrodynamics of Two-Phase Upflow in a Pneumatic Classifier with the Variable Cross-Section. Recent Advances in Computational Mechanics and Simulations 2020, 216 -227.
AMA StyleAndrii Lytvynenko, Ivan Pavlenko, Mykola Yukhymenko, Ruslan Ostroha, Jan Pitel. Hydrodynamics of Two-Phase Upflow in a Pneumatic Classifier with the Variable Cross-Section. Recent Advances in Computational Mechanics and Simulations. 2020; ():216-227.
Chicago/Turabian StyleAndrii Lytvynenko; Ivan Pavlenko; Mykola Yukhymenko; Ruslan Ostroha; Jan Pitel. 2020. "Hydrodynamics of Two-Phase Upflow in a Pneumatic Classifier with the Variable Cross-Section." Recent Advances in Computational Mechanics and Simulations , no. : 216-227.
This article was aimed to solve an urgent problem of ensuring quality for prilling processes in vibrational prilling equipment. During the research, the need for the application of vibrational prilling to create a controlled impact on the process of jet decay on droplets with the proper characteristics was substantiated. Based on the experimental and theoretical studies of the process of decay of a liquid jet into drops, axisymmetric droplet oscillation modes for the different frequencies were observed. Frequency ranges of transition between modes of decay of a jet into drops were obtained. As a result, the mathematical model of the droplet deformation was refined. The experimental research data substantiated this model, and its implementation allowed determining the analytical dependencies for the components of the droplet deformation velocity. The proposed model explains the existence of different droplet oscillation modes depending on the frequency characteristics of the superimposed vibrational impact. Based on an analytical study of the droplet deformation velocity components, the limit values of the characteristics defining the transition between the different droplet oscillation modes were discovered. Analytical dependencies were also obtained to determine the diameter of the satellites and their total number.
Ivan Pavlenko; Vsevolod Sklabinskyi; Ján Piteľ; Kamil Židek; Ivan Kuric; Vitalii Ivanov; Maksym Skydanenko; Oleksandr Liaposhchenko. Effect of Superimposed Vibrations on Droplet Oscillation Modes in Prilling Process. Processes 2020, 8, 566 .
AMA StyleIvan Pavlenko, Vsevolod Sklabinskyi, Ján Piteľ, Kamil Židek, Ivan Kuric, Vitalii Ivanov, Maksym Skydanenko, Oleksandr Liaposhchenko. Effect of Superimposed Vibrations on Droplet Oscillation Modes in Prilling Process. Processes. 2020; 8 (5):566.
Chicago/Turabian StyleIvan Pavlenko; Vsevolod Sklabinskyi; Ján Piteľ; Kamil Židek; Ivan Kuric; Vitalii Ivanov; Maksym Skydanenko; Oleksandr Liaposhchenko. 2020. "Effect of Superimposed Vibrations on Droplet Oscillation Modes in Prilling Process." Processes 8, no. 5: 566.
Vasily Larshin; Odessa National Polytechnic University; Natalia Lishchenko; Jan Pitel; Odessa National Academyof Food Technologies; Technical University of Kosice. DETECTING SYSTEMATIC AND RANDOM COMPONENT OFSURFACE ROUGHNESS SIGNAL. Herald of Advanced Information Technology 2020, 3, 61 -71.
AMA StyleVasily Larshin, Odessa National Polytechnic University, Natalia Lishchenko, Jan Pitel, Odessa National Academyof Food Technologies, Technical University of Kosice. DETECTING SYSTEMATIC AND RANDOM COMPONENT OFSURFACE ROUGHNESS SIGNAL. Herald of Advanced Information Technology. 2020; 3 (2):61-71.
Chicago/Turabian StyleVasily Larshin; Odessa National Polytechnic University; Natalia Lishchenko; Jan Pitel; Odessa National Academyof Food Technologies; Technical University of Kosice. 2020. "DETECTING SYSTEMATIC AND RANDOM COMPONENT OFSURFACE ROUGHNESS SIGNAL." Herald of Advanced Information Technology 3, no. 2: 61-71.
This article deals with the creation of a digital twin for an experimental assembly system based on a belt conveyor system and an automatized line for quality production check. The point of interest is a Bowden holder assembly from a 3D printer, which consists of a stepper motor, plastic components, and some fastener parts. The assembly was positioned in a fixture with ultra high frequency (UHF) tags and internet of things (IoT) devices for identification of status and position. The main task was parts identification and inspection, with the synchronization of all data to a digital twin model. The inspection system consisted of an industrial vision system for dimension, part presence, and errors check before and after assembly operation. A digital twin is realized as a 3D model, created in CAD design software (CDS) and imported to a Tecnomatix platform to simulate all processes. Data from the assembly system were collected by a programmable logic controller (PLC) system and were synchronized by an open platform communications (OPC) server to a digital twin model and a cloud platform (CP). Digital twins can visualize the real status of a manufacturing system as 3D simulation with real time actualization. Cloud platforms are used for data mining and knowledge representation in timeline graphs, with some alarms and automatized protocol generation. Virtual digital twins can be used for online optimization of an assembly process without the necessity to stop that is involved in a production line.
Kamil Židek; Ján Piteľ; Milan Adámek; Peter Lazorík; Alexander Hošovský. Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept. Sustainability 2020, 12, 3658 .
AMA StyleKamil Židek, Ján Piteľ, Milan Adámek, Peter Lazorík, Alexander Hošovský. Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept. Sustainability. 2020; 12 (9):3658.
Chicago/Turabian StyleKamil Židek; Ján Piteľ; Milan Adámek; Peter Lazorík; Alexander Hošovský. 2020. "Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept." Sustainability 12, no. 9: 3658.
The area of the contact surface of phases is one of the main hydrodynamic indicators determining the separation and heat and mass transfer equipment calculations. Methods of evaluating this indicator in the separation of multicomponent two-phase systems were considered. It was established that the existing methods for determining the interfacial surface are empirical ones, therefore limited in their applications. Consequently, the use of the corresponding approaches is appropriate for certain technological equipment only. Due to the abovementioned reasons, the universal analytical formula for determining the interfacial surface was developed. The approach is based on both the deterministic and probabilistic mathematical models. The methodology was approved on the example of separation of two-phase systems considering the different fractional distribution of dispersed particles. It was proved that the area of the contact surface with an accuracy to a dimensionless ratio depends on the volume concentration of the dispersed phase and the volume of flow. The separate cases of evaluating the contact area ratio were considered for different laws of the fractional distribution of dispersed particles. As a result, the dependence on the identification of the abovementioned dimensionless ratio was proposed, as well as its limiting values were determined. Finally, a need for the introduction of the correction factor was substantiated and practically proved on the example of mass-transfer equipment.
Ivan Pavlenko; Oleksandr Liaposhchenko; Vsevolod Sklabinskyi; Vitaly Storozhenko; Yakov Mikhajlovskiy; Marek Ochowiak; Vitalii Ivanov; Jan Pitel; Oleksandr Starynskyi; Sylwia Włodarczak; Andżelika Krupińska; Małgorzata Markowska. Identification of the Interfacial Surface in Separation of Two-Phase Multicomponent Systems. Processes 2020, 8, 306 .
AMA StyleIvan Pavlenko, Oleksandr Liaposhchenko, Vsevolod Sklabinskyi, Vitaly Storozhenko, Yakov Mikhajlovskiy, Marek Ochowiak, Vitalii Ivanov, Jan Pitel, Oleksandr Starynskyi, Sylwia Włodarczak, Andżelika Krupińska, Małgorzata Markowska. Identification of the Interfacial Surface in Separation of Two-Phase Multicomponent Systems. Processes. 2020; 8 (3):306.
Chicago/Turabian StyleIvan Pavlenko; Oleksandr Liaposhchenko; Vsevolod Sklabinskyi; Vitaly Storozhenko; Yakov Mikhajlovskiy; Marek Ochowiak; Vitalii Ivanov; Jan Pitel; Oleksandr Starynskyi; Sylwia Włodarczak; Andżelika Krupińska; Małgorzata Markowska. 2020. "Identification of the Interfacial Surface in Separation of Two-Phase Multicomponent Systems." Processes 8, no. 3: 306.
This chapter deals with an implementation of advanced vision technologies for contactless parts of product inspection and automatic object identification using RFID during the assembly process in experimental assembly line to improve quality control over the assembly of the different product parts. Both, vision technologies and UHF RFID system are used for digitization of quality control, and automatic identification for the future world of the Internet of Things (IoT). Moreover, all quality control data are stored in Cloud Platform for the purpose of data analysis and visualization. Subsequently, digital twin of quality control system is generated from its 3D model and transformed into virtual reality device for remote monitoring of quality control.
Kamil Židek; Vladimír Modrák; Ján Pitel; Zuzana Šoltysová. The Digitization of Quality Control Operations with Cloud Platform Computing Technologies. Industry 4.0 for SMEs 2020, 305 -334.
AMA StyleKamil Židek, Vladimír Modrák, Ján Pitel, Zuzana Šoltysová. The Digitization of Quality Control Operations with Cloud Platform Computing Technologies. Industry 4.0 for SMEs. 2020; ():305-334.
Chicago/Turabian StyleKamil Židek; Vladimír Modrák; Ján Pitel; Zuzana Šoltysová. 2020. "The Digitization of Quality Control Operations with Cloud Platform Computing Technologies." Industry 4.0 for SMEs , no. : 305-334.
The article is focused on the comprehensive analysis of the aerodynamics of air distribution devices with the combined heat and mass exchange, with the aim to improve the following hydro- and thermodynamic parameters of ventilation systems: flow rate, air velocity, hydraulic losses, and temperature. The inadequacy of the previously obtained characteristics has confirmed the need for more rational designs of air distribution systems. Consequently, the use of perforated plates was proposed to increase hydraulic losses for reducing the average velocity and ensuring a uniform distribution of the velocity field on the outlet of the device. The effectiveness of one of the five possible designs usage is confirmed by the results of numerical simulation. The coefficient of hydraulic losses decreased by 2.5–3.0 times, as well as the uniformity of the outlet velocity field for the air flow being provided. Based on the three-factor factorial experiment, the linear mathematical model was obtained for determining the dependence of the average velocity on the flow rate, plate’s area, and diameter of holes. This model was significantly improved using the multiparameter quasi-linear regression analysis. As a result, the nonlinear mathematical models were obtained, allowing the analytical determination of the hydraulic losses and average velocity of the air flow. Additionally, the dependencies for determining the relative error of measuring the average velocity were obtained.
Serhii Khovanskyi; Ivan Pavlenko; Jan Pitel; Jana Mizakova; Marek Ochowiak; Irina Grechka. Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates. Energies 2019, 12, 3488 .
AMA StyleSerhii Khovanskyi, Ivan Pavlenko, Jan Pitel, Jana Mizakova, Marek Ochowiak, Irina Grechka. Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates. Energies. 2019; 12 (18):3488.
Chicago/Turabian StyleSerhii Khovanskyi; Ivan Pavlenko; Jan Pitel; Jana Mizakova; Marek Ochowiak; Irina Grechka. 2019. "Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates." Energies 12, no. 18: 3488.
The rapid wall erosion of the settings of pump elements occurs during pumping of two-phase mediums, in the hydraulic and pneumatic transport systems. In these circumstances, it is reasonable to use the jet technology in general and the vortex chamber superchargers in particular. The vortex chamber superchargers have the best, compared with other jet superchargers, energy efficiency indicators during pumping of bulk materials. The purpose of the article is to study the wall erosion of the vortex chamber. The mathematical modeling of the flow is carried out by solving the averaged Reynolds equations using a SST turbulence model corrected. Simultaneously with the hydrodynamic calculations the trajectories of abrasive material solid particles were calculated. Finney’s model was used to model the wall erosion. It is found that for all values of the flow rates and, accordingly, the concentration of solid particles, a uniform wear of the vortex chamber is observed. To ensure the durability of superchargers it is necessary to increase the thickness of the chamber’s walls. In the process of wear, the ratio of diameters of the inflow channels to the diameter of the vortex chamber will increase. It affects the energy characteristics of the supercharger: the efficiency, the amount of medium at the outflow of the device, the vacuum value near the axis. By setting minimum acceptable parameters it is possible to predict the wear of the chamber and calculate the resource of the supercharger without the use of expensive experimental investigations.
Andrii Rogovyi; Sergey Khovanskyy; Irina Grechka; Jan Pitel. The Wall Erosion in a Vortex Chamber Supercharger Due to Pumping Abrasive Mediums. Recent Advances in Computational Mechanics and Simulations 2019, 682 -691.
AMA StyleAndrii Rogovyi, Sergey Khovanskyy, Irina Grechka, Jan Pitel. The Wall Erosion in a Vortex Chamber Supercharger Due to Pumping Abrasive Mediums. Recent Advances in Computational Mechanics and Simulations. 2019; ():682-691.
Chicago/Turabian StyleAndrii Rogovyi; Sergey Khovanskyy; Irina Grechka; Jan Pitel. 2019. "The Wall Erosion in a Vortex Chamber Supercharger Due to Pumping Abrasive Mediums." Recent Advances in Computational Mechanics and Simulations , no. : 682-691.
The presented article deals with the analysis of the maximum erosive effect of ultrasonically pulsed water jet on the surface of austenitic stainless steel EN X5CrNi18-10. One stainless steel sample was evaluated. The sample was disintegrated at a traverse speed of v = 0.20 mm s−1, at a pressure of 39 MPa. The influence of the pulsating water jet at maximum erosion was evaluated based on surface and subsurface characteristics. The surface of the sample was evaluated by the surface topography based on roughness profile parameters Rp [µm] and Rv [µm]. The microstructure of the subsurface layer was evaluated by metallographic analysis. By examining the surface disintegrated with a high-efficiency pulsating water jet, massive surface destruction with a significant loss of material was found. The resulting topography of the surface was uneven and was characterized by the formation of depressions and protrusions with great differences in height. The metallographic analysis showed the formation of cold deformation and the formation of defects in the surface layers. The high destructive effect of the ultrasonically enhanced pulsating water jet also confirms material tearing, mostly along the austenitic grain boundaries, to a depth of maximum 100 μm.
Dominika Lehocka; Jiri Klich; Ján Piteľ; Lucie Krejci; Zdenek Storkan; Darina Duplakova; Vladimira Schindlerova; Ivana Sajdlerova. Analysis of the Pulsating Water Jet Maximum Erosive Effect on Stainless Steel. Recent Advances in Computational Mechanics and Simulations 2019, 233 -241.
AMA StyleDominika Lehocka, Jiri Klich, Ján Piteľ, Lucie Krejci, Zdenek Storkan, Darina Duplakova, Vladimira Schindlerova, Ivana Sajdlerova. Analysis of the Pulsating Water Jet Maximum Erosive Effect on Stainless Steel. Recent Advances in Computational Mechanics and Simulations. 2019; ():233-241.
Chicago/Turabian StyleDominika Lehocka; Jiri Klich; Ján Piteľ; Lucie Krejci; Zdenek Storkan; Darina Duplakova; Vladimira Schindlerova; Ivana Sajdlerova. 2019. "Analysis of the Pulsating Water Jet Maximum Erosive Effect on Stainless Steel." Recent Advances in Computational Mechanics and Simulations , no. : 233-241.
One of the most monotonous activities in using convolutional neural networks for image recognition is preparation of the learning data. It involves creating samples (2D images of object) at different angles of view, different backgrounds/materials and partial overlay of the object. Input data must include a relatively large number of frames, typically about 100 and more images per object to make the learning precision useful. In the paper there is proposed a new approach to creating these data fully automated based on a virtual 3D model of the standardized parts. Automation principle is generating 2D images from the imported 3D construction model, including the following variable parameters: the angle of rotation, background and the material of the component. We used for verification pretrained DNN model Faster RCNN Inception v2 with single shot detection (SSD). The learned convolutional network was next tested by real samples to verify a new approach of learning by virtual models and recognition of real objects (parts).
Kamil Židek; Peter Lazorík; Ján Piteľ; Ivan Pavlenko; Alexander Hošovský. Automated Training of Convolutional Networks by Virtual 3D Models for Parts Recognition in Assembly Process. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2019, 287 -297.
AMA StyleKamil Židek, Peter Lazorík, Ján Piteľ, Ivan Pavlenko, Alexander Hošovský. Automated Training of Convolutional Networks by Virtual 3D Models for Parts Recognition in Assembly Process. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2019; ():287-297.
Chicago/Turabian StyleKamil Židek; Peter Lazorík; Ján Piteľ; Ivan Pavlenko; Alexander Hošovský. 2019. "Automated Training of Convolutional Networks by Virtual 3D Models for Parts Recognition in Assembly Process." Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 287-297.
This article is devoted to a detailed description of the developed physical model of the pneumatic classification process for detecting the rotating suspended layer and ensuring the frequency of loading and unloading of a pneumatic classifier. The related mathematical model is developed for estimating the non-stationary concentration of fine particles in a gas-dispersed flow with respect to time and height of the working space of the apparatus. The research is aimed at developing a pneumatic classification method for granular materials using a rhomb-shaped apparatus and ensuring the reliability of the operating process based on the influence of the flow on the granular material concentrations. The obtained experimental results allow evaluating the rational geometrical parameters of the working space in pneumatic granulators, as well as verifying the proposed mathematical model based on the implementation of the quasi-linear regression procedure. It is shown that the rhomb-shaped pneumatic classifier provides effective separation of granular material, reaching up to 95% of the target fraction. As a result, the proposed methodology can be implemented for optimizing geometrical profiles of pneumatic classifiers in terms of defining the required technological parameters of the pneumatic classification process.
Lytvynenko; Mykola Yukhymenko; Ivan Pavlenko; Jan Pitel; Jana Mizakova; Ruslan Ostroha; Jozef Bocko. Ensuring the Reliability of Pneumatic Classification Process for Granular Material in a Rhomb-Shaped Apparatus. Applied Sciences 2019, 9, 1604 .
AMA StyleLytvynenko, Mykola Yukhymenko, Ivan Pavlenko, Jan Pitel, Jana Mizakova, Ruslan Ostroha, Jozef Bocko. Ensuring the Reliability of Pneumatic Classification Process for Granular Material in a Rhomb-Shaped Apparatus. Applied Sciences. 2019; 9 (8):1604.
Chicago/Turabian StyleLytvynenko; Mykola Yukhymenko; Ivan Pavlenko; Jan Pitel; Jana Mizakova; Ruslan Ostroha; Jozef Bocko. 2019. "Ensuring the Reliability of Pneumatic Classification Process for Granular Material in a Rhomb-Shaped Apparatus." Applied Sciences 9, no. 8: 1604.
Small series production with a high level of variability is not suitable for full automation. So, a manual assembly process must be used, which can be improved by cooperative robots and assisted by augmented reality devices. The assisted assembly process needs reliable object recognition implementation. Currently used technologies with markers do not work reliably with objects without distinctive texture, for example, screws, nuts, and washers (single colored parts). The methodology presented in the paper introduces a new approach to object detection using deep learning networks trained remotely by 3D virtual models. Remote web application generates training input datasets from virtual 3D models. This new approach was evaluated by two different neural network models (Faster RCNN Inception v2 with SSD, MobileNet V2 with SSD). The main advantage of this approach is the very fast preparation of the 2D sample training dataset from virtual 3D models. The whole process can run in Cloud. The experiments were conducted with standard parts (nuts, screws, washers) and the recognition precision achieved was comparable with training by real samples. The learned models were tested by two different embedded devices with an Android operating system: Virtual Reality (VR) glasses, Cardboard (Samsung S7), and Augmented Reality (AR) smart glasses (Epson Moverio M350). The recognition processing delays of the learned models running in embedded devices based on an ARM processor and standard x86 processing unit were also tested for performance comparison.
Kamil Židek; Peter Lazorík; Ján Piteľ; Alexander Hošovský. An Automated Training of Deep Learning Networks by 3D Virtual Models for Object Recognition. Symmetry 2019, 11, 496 .
AMA StyleKamil Židek, Peter Lazorík, Ján Piteľ, Alexander Hošovský. An Automated Training of Deep Learning Networks by 3D Virtual Models for Object Recognition. Symmetry. 2019; 11 (4):496.
Chicago/Turabian StyleKamil Židek; Peter Lazorík; Ján Piteľ; Alexander Hošovský. 2019. "An Automated Training of Deep Learning Networks by 3D Virtual Models for Object Recognition." Symmetry 11, no. 4: 496.