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Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering

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A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: closed (20 June 2022) | Viewed by 25570

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Special Issue Editors

Prof. Dr. Mykola Nechyporuk

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Guest Editor

National Aerospace University “Kharkiv Aviation Institute”, Chkalova Str., 61070 Kharkiv, Ukraine
Interests: aerospace engineering; math modeling
Special Issues, Collections and Topics in MDPI journals

Dr. Volodymyr Pavlikov

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Guest Editor

National Aerospace University “Kharkiv Aviation Institute”, Chkalova Str., 61070 Kharkiv, Ukraine
Interests: radar; positioning; navigation; engineering
Special Issues, Collections and Topics in MDPI journals

Dr. Dmytro Krytskyi

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Guest Editor

National Aerospace University “Kharkiv Aviation Institute”, Chkalova Str., 61070 Kharkiv, Ukraine
Interests: artificial Intelligence; computer vision; UaV
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

This Special Issue will publish a set of selected papers from the International Conference “Integrated Computer Technologies in Mechanical Engineering” (ICTM 2021: ictm.khai.edu), which will be held on 28–29 October 2021 in Kharkiv, Ukraine (due to the health crisis, the conference may be held online). You are invited to submit a contribution to the conference for consideration in this Special Issue (Paper submission at https://easychair.org).

Topics of the conferences include but are not limited to the following:

Information technology in the design and manufacture of engines;
Information technology in the creation of rocket space systems;
Aerospace engineering;
Control systems and engineering;
Transport systems and logistics;
Big data and data science;
Nano-modeling;
Artificial intelligence and smart systems;
Networks and communication;
Cyberphysical systems and IoE;
Software engineering and IT infrastructure;
Information modeling;
Project management and business informatics;
Hyper reality;
Robotics and UAV;
Smart energy and grids;
Cybersecurity and safety;
Signal and image processing;
Remote sensing radars.

Prof. Dr. Mykola Nechyporuk
Dr. Vladimir Pavlikov
Dr. Dmitriy Kritskiy
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

artificial intelligence and smart systems
robotics and UAV
mechanical engineering
creation of rocket space systems

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Published Papers (10 papers)

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Research

11 pages, 1942 KiB

Open AccessArticle

A Linear Elasticity Theory to Analyze the Stress State of an Infinite Layer with a Cylindrical Cavity under Periodic Load

by Vitaly Miroshnikov, Basheer Younis, Oleksandr Savin and Vladimir Sobol

Computation 2022, 10(9), 160; https://doi.org/10.3390/computation10090160 - 14 Sep 2022

Cited by 3 | Viewed by 1633

Abstract

The design of parts of machines, mechanisms, structures and foundations, particularly in the aerospace industry, is closely related to the definition of the stress state of the body. The accuracy of determining the stress state is the key to optimizing the use of materials. Therefore, it is important to develop methods to achieve such goals. In this work, the second main spatial problem of the elasticity theory is solved for a layer with a longitudinal cylindrical cavity with periodic displacements given on the surface of the layer. The solution of the problem is based on the generalized Fourier method for a layer with a cylindrical cavity. To take into account periodic displacements, an additional problem is applied with the expansion of the solution for a layer (without a cavity) in the Fourier series. The general solution is the sum of these two solutions. The problem is reduced to an infinite system of linear algebraic equations, which is solved by the reduction method. As a result, the stress-strain state of the layer on the surface of the cavity and isthmuses from the cavity to the boundaries of the layer was obtained. The conducted numerical analysis has a high accuracy for fulfilling the boundary conditions and makes it possible to assert the physical regularity of the stress distribution, which indicates the reliability of the obtained results. The method can be applied to determine the stress-strain state of structures, whose calculation scheme is a layer with a cylindrical cavity and a given periodic displacement. Numerical results make it possible to predict the geometric parameters of the future structure. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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8 pages, 9593 KiB

Open AccessArticle

The Methods of Three-Dimensional Modeling of the Hydrogenerator Thrust Bearing

by Oleksii Tretiak, Dmitriy Kritskiy, Igor Kobzar, Mariia Arefieva and Viacheslav Nazarenko

Computation 2022, 10(9), 152; https://doi.org/10.3390/computation10090152 - 2 Sep 2022

Cited by 7 | Viewed by 2156

Abstract

In the presented scientific work, the basic design versions of the thrust bearings of Hydrogenerators are considered. The main causes of emergencies in the thrust bearing unit of a high-power Hydrogenerator are considered. The main requirements for the operation of thrust bearings are submitted. Cause-and-effect relationships of emerging and development of defects are established. Existing methods for calculating the stressed state of a thrust bearing in the classical formulation for a stationary mode of operation are considered. The main features of the operation of the thrust bearing unit are investigated in relation to the features of the sliding bearings. The calculation of the elastic chambers of the hydraulic thrust bearing in a three-dimensional formulation is carried out, taking into account the physical properties of the oil, the material of the chambers and distribution of the acting loads. It is shown that the applied designs of Join Stock Company “Ukrainian Energy Machines” can be used in high-power Hydrogenerators. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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16 pages, 1946 KiB

Open AccessArticle

Signal Processing Algorithm for Monopulse Noise Noncoherent Wideband Helicopter Altitude Radar

by Valeriy Volosyuk, Volodymyr Pavlikov, Simeon Zhyla, Eduard Tserne, Oleksii Odokiienko, Andrii Humennyi, Anatoliy Popov and Oleh Uruskiy

Computation 2022, 10(9), 150; https://doi.org/10.3390/computation10090150 - 31 Aug 2022

Cited by 3 | Viewed by 1854

Abstract

Radio altimeters are an important component of modern helicopter on-board systems. These devices currently involve the use of narrowband deterministic signals, that limits their potential technical characteristics. Given the significant breakthrough in the development of wideband and ultra-wideband radio electronics, it is promising to create on-board radio complexes capable of obtaining the necessary information using wideband stochastic signals. At the same time, when developing such complexes, it is important to use optimal synthesis methods for radio systems, which will allow optimal signal processing algorithms and potential accuracy parameters to be obtained. In this work, the algorithm to measure flight altitude for a helicopter or an unmanned aerial vehicle based on the processing of wideband and ultra-wideband pulsed stochastic signals is synthesized for the first time by the maximum-likelihood method. When formulating the problem, the mathematical model of the signal and observation is specified, and their statistical characteristics are investigated. The peculiarity of the synthesis task is the use of a noise pulse transmitter, which implements the function of an underlying surface illuminator, as well as considering the signal structure destruction during its radiation, propagation, and reflection. This signal shape destruction makes it impossible to synthesize a radar with internally coherent processing when working on one receiving antenna. In accordance with the synthesized algorithm, a simulation model of a pulsed radar with a stochastic probing signal has been developed and the results of its modeling are presented. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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23 pages, 41801 KiB

Open AccessArticle

Toward Building a Functional Image of the Design Object in CAD

by Vladimir Shevel, Dmitriy Kritskiy and Oleksii Popov

Computation 2022, 10(8), 134; https://doi.org/10.3390/computation10080134 - 5 Aug 2022

Cited by 4 | Viewed by 1849

Abstract

The paper proposes an approach to the classification of lifecycle support automation systems for engineering objects, with the proposed structure of the description of the designed object, using a triple description approach: functional, mathematical, and physical. Following this approach, an algorithm for drawing up a functional description of the lifecycle is described, which is based on the principle of unity of analysis and synthesis of the created system in the design process. The proposed solutions are considered using the traditional aircraft shaping methodology with the application of the airplane make-up algorithm as an example. Furthermore, the architecture of a multiagent platform for structural–parametric synthesis of the object was presented; for convenient usage of this architecture, it was proposed to use classification of design tasks in the form of a design cube. The proposed approach allows obtaining an accurate description of the designed object and the subtasks needed to create it, which can reduce the time of the project. Unfortunately, not all decisions can be automated at the given stage of technical development, but what is possible to automate is enough to achieve a reduction in terms of realization and an acceleration of the prototyping process, as shown in the considered example. The actual reduction throughout the lifecycle of the product ranges from 10% to 21% of the planned time. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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15 pages, 2857 KiB

Open AccessArticle

Mathematical Models and Nonlinear Optimization in Continuous Maximum Coverage Location Problem

by Sergiy Yakovlev, Oleksii Kartashov and Dmytro Podzeha

Computation 2022, 10(7), 119; https://doi.org/10.3390/computation10070119 - 11 Jul 2022

Cited by 7 | Viewed by 2391

Abstract

This paper considers the maximum coverage location problem (MCLP) in a continuous formulation. It is assumed that the coverage domain and the family of geometric objects of arbitrary shape are specified. It is necessary to find such a location of geometric objects to cover the greatest possible amount of the domain. A mathematical model of MCLP is proposed in the form of an unconstrained nonlinear optimization problem. Python computational geometry packages were used to calculate the area of partial coverage domain. Many experiments were carried out which made it possible to describe the statistical dependence of the area calculation time of coverage domain on the number of covering objects. To obtain a local solution, the BFGS method with first-order differences was used. An approach to the numerical estimation of the objective function gradient is proposed, which significantly reduces computational costs, which is confirmed experimentally. The proposed approach is shown to solve the maximum coverage problem of a rectangular area by a family of ellipses. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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19 pages, 1561 KiB

Open AccessArticle

Concept of High-Tech Enterprise Development Management in the Context of Digital Transformation

by Yurii Pronchakov, Oleksandr Prokhorov and Oleg Fedorovich

Computation 2022, 10(7), 118; https://doi.org/10.3390/computation10070118 - 10 Jul 2022

Cited by 7 | Viewed by 3872

Abstract

The purpose of this article is to check and identify management gaps that lead to the formation of digitalization problems in enterprises in the context of Industry 4.0 and to offer a conceptual approach to managing the development of high-tech enterprises in digital transformation. The paper substantiates the concept of digital transformation management in a high-tech enterprise based on interdependent adaptive systems for planning digital transformation processes, monitoring, and change management. The paper considers the idea of the Industry 4.0 concept and presents principal technologies and tools that contribute to the gradual transition to digital transformation. It is determined that digital transformation is a process of transition to digital business, which involves the use of digital technologies to change business processes in the company and provision of new opportunities for additional income and development prospects. A conceptual model of enterprise competitiveness formation in the process of digital transformation has been developed, which includes organizational and economical digital tools for sustainable development of high-tech enterprises and synergies from the organization of new forms of digital interaction. The proposed methodology for managing the development of high-tech enterprises in the context of digital transformation is based on the formation of an ecosystem model of decentralization in a single distributed digital space, based on interconnected adaptive systems of planning, monitoring, and change management, and, on the basis of modeling and forecasting of complex manufacturing and logistics processes of high-tech industries, it allows effective implementation of the innovative order portfolio in the short term and with limited opportunities while coordinating the priorities of the business strategy and strategy of digital transformation of high-tech enterprises. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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19 pages, 4873 KiB

Open AccessArticle

Capacitive Water-Cut Meter with Robust Near-Linear Transfer Function

by Oleksandr Zabolotnyi, Vitalii Zabolotnyi and Nikolay Koshevoy

Computation 2022, 10(7), 115; https://doi.org/10.3390/computation10070115 - 7 Jul 2022

Cited by 4 | Viewed by 1714

Abstract

The water content in fuel–water emulsions can vary from 10% to 30%, and is under control during the process of emulsification. The main task of this study was to obtain near-linear static function for a water-cut meter with capacitive sensors, and to provide it with effective type-uncertainty compensation during the process of water–fuel emulsion moisture control. To fulfill the capacitive measurements, two capacitive sensors in the measuring channel and two capacitive sensors in the reference channel were used. The method of least squares and general linear regression instruments were used to obtain robust and near-linear transfer function of the capacitive water-cut meter. The prototype product of the water-cut meter was developed with the purpose of fulfilling multiple moisture measurements and checking the workability of the new transfer function. Values of moisture content for the new transfer function and the closest analog were compared with the help of dispersion analysis. The new transfer function provided minimal dispersions of repeatability and adequacy, and minimal F-test values, proving its better capability for type-uncertainty compensation and better adequacy for the nominal linear transfer function of the water-cut meter. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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19 pages, 3763 KiB

Open AccessArticle

Modeling the Meshing Procedure of the External Gear Fuel Pump Using a CFD Tool

by Ihor Romanenko, Yevhen Martseniuk and Oleksandr Bilohub

Computation 2022, 10(7), 114; https://doi.org/10.3390/computation10070114 - 6 Jul 2022

Cited by 4 | Viewed by 2246

Abstract

In modern aircraft engine technology, there is a tendency to replace the mechanical drive of external gear fuel pumps with an electric one. This significantly reduces the integral energy consumption for pumping fuel (kerosene). On the other hand, in order to reduce the dimensions of the structure, it is reasonable to increase the rotation speed of the pumping unit gears. The above considerations make it advisable to study the problems that may arise in the design of pumping units. Analysis of the existing designs of external gear fuel pumps shows that the flow processes in the meshing zone have a significant impact on the pump performance and lifetime. Incorrect truss plate geometry and the compensation system lead to an increase in the velocities when opening and closing the cavity in the meshing zone, which causes intense cavitation. To understand the causes and factors which influence this phenomenon, it is necessary to study the fluid flow behavior in the meshing zone gaps. High-speed cameras are used to experimentally study the flow behavior. However, this approach gives only a qualitative result but does not allow for determining the absolute values of pressure and load in terms of the angle of rotation. Nevertheless, high-speed surveying can be used as a basis for fluid flow model verification. In this paper, the model of the fluid flow in a high-pressure external gear pump was proposed. The verification of the simulation results for HDZ 46 HLP 68 oil operation was carried out according to the results of experimental data visualization. The influence of rotation speed on the position of cavitation zones was revealed and confirmed by operational data. The analysis of the flow process in meshing for kerosene as a working fluid was carried out. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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18 pages, 6145 KiB

Open AccessArticle

Crack Identification in Cantilever Beam under Moving Load Using Change in Curvature Shapes

by Nutthapong Kunla, Thira Jearsiripongkul, Suraparb Keawsawasvong and Chanachai Thongchom

Computation 2022, 10(6), 101; https://doi.org/10.3390/computation10060101 - 19 Jun 2022

Cited by 1 | Viewed by 2247

Abstract

Cracks in structural components may ultimately lead to failure of the structure if not identified sufficiently early. This paper presents a crack-identification method based on time-domain. Captured time-domain data are processed into central difference approximation of displacement of each node (point) in the structure. Abnormally high central difference approximation of displacement of a node relative to those of its neighborhood points indicates a crack at that point. A suite of simulation experiments and numerical calculations was conducted to find out whether the proposed identification method could accurately identify the location of a crack in a cantilever beam under moving load compared to the location found by an exact solution method, and the outcomes indicated that it was as able as the analytical method. The proposed method is an FEA analysis, an approach familiar to virtually every engineer. Therefore, the relative amount of time and effort spent on developing the proposed method for a specific application is much less than those spent on developing an analytical method. The saved time and effort should enable more engineering personnel to perform routine checks on structural elements of their interest more simply and frequently. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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22 pages, 2145 KiB

Open AccessArticle

Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting

by Dmytro Chumachenko, Ievgen Meniailov, Kseniia Bazilevych, Tetyana Chumachenko and Sergey Yakovlev

Computation 2022, 10(6), 86; https://doi.org/10.3390/computation10060086 - 30 May 2022

Cited by 41 | Viewed by 3965

Abstract

COVID-19 has become the largest pandemic in recent history to sweep the world. This study is devoted to developing and investigating three models of the COVID-19 epidemic process based on statistical machine learning and the evaluation of the results of their forecasting. The models developed are based on Random Forest, K-Nearest Neighbors, and Gradient Boosting methods. The models were studied for the adequacy and accuracy of predictive incidence for 3, 7, 10, 14, 21, and 30 days. The study used data on new cases of COVID-19 in Germany, Japan, South Korea, and Ukraine. These countries are selected because they have different dynamics of the COVID-19 epidemic process, and their governments have applied various control measures to contain the pandemic. The simulation results showed sufficient accuracy for practical use in the K-Nearest Neighbors and Gradient Boosting models. Public health agencies can use the models and their predictions to address various pandemic containment challenges. Such challenges are investigated depending on the duration of the constructed forecast. Full article

(This article belongs to the Special Issue Integrated Computer Technologies in Mechanical Engineering – Synergetic Engineering)

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