Field Of Mechanical Engineering Research Articles

Scope of Community Service Activities in Mechanical Engineering: A Review

Community service is the activity of a lecturer in carrying out the tridharma obligations of higher education. Likewise with lecturers with a background in mechanical engineering. The aim of preparing this article is to obtain the results of a review of community service activities in the field of mechanical engineering. The review was prepared based on the results of a library search of publications on community service activities. The references obtained are then categorized based on the type of partner business, number of partners and form of activity. The results of the review show that there are five types of business in the field of mechanical engineering, where welding workshops are the ones with the most activity partners. Technical training is the most common form of activity. The results of this review can be a consideration for those implementing community service activities in the field of mechanical engineering to design activities that have high novelty value.

Augmented Reality and Deep Learning Integration for Enhanced Design and Maintenance in Mechanical Engineering.

The convergence of augmented reality (AR) and deep learning has emerged as a transformative paradigm in the field of mechanical engineering, revolutionizing the design and maintenance processes. This paper explores the integration of AR and deep learning technologies to create a synergistic framework that enhances efficiency, precision, and overall performance in mechanical engineering applications. The fusion of AR, a technology that overlays digital information onto the physical world, and deep learning, a subset of artificial intelligence (AI) characterized by intricate neural networks, presents a groundbreaking approach to address the challenges faced in the design and maintenance phases of mechanical systems. In the design realm, this integration facilitates a more immersive and collaborative environment for engineers and designers. AR provides real-time visualization of complex 3D models and simulations, allowing engineers to interact with virtual prototypes overlaid onto physical objects. [1] Deep learning algorithms enable predictive modeling and analysis, enhancing the understanding of system behavior under various conditions. The combination empowers designers to iterate rapidly, make informed decisions, and optimize designs, ultimately reducing time-to-market and improving overall product quality. In the maintenance domain, the AR and deep learning integration transforms traditional approaches by offering intelligent and context-aware solutions. AR-enabled smart glasses or devices equipped with computer vision capabilities allow technicians to access real-time data, such as equipment specifications, maintenance procedures, and live diagnostics. Deep learning algorithms enhance fault detection and predictive maintenance by analyzing historical data and identifying patterns indicative of potential issues. This proactive approach minimizes downtime, reduces maintenance costs, and extends the lifespan of mechanical systems. The paper illuminates the potential of their integration in reshaping the landscape of mechanical engineering. The presented framework not only fosters innovation in design and maintenance but also sets the stage for a new era in which intelligent technologies work in tandem to propel the field forward.

ПРОБЛЕМИ ТА ПЕРСПЕКТИВИ УПРАВЛІННЯ ПІДПРИЄМСТВАМИ МАШИНОБУДУВАННЯ В КОНКУРЕНТНОМУ СЕРЕДОВИЩІ

The article is devoted to the study of theoretical and applied aspects of enterprise management in a competitive environment. On the basis of existing approaches to the process of managing the competitiveness of industrial enterprises, modern approaches to the effectiveness of such management are considered, and its significance in modern conditions is substantiated. Competitiveness is studied as a fundamental category of the market economy, which directly affects the efficiency of the participants of the competitive environment and ensures the stability of the development of the market mechanism as a whole.
 The dynamics and structure of production of machine-building products in Ukraine during 2015-2022 were analyzed, its strategically important role in the country's economy was proven, despite the insignificant share of machine-building products in the total volume of industrial production and the strengthening of exports of raw materials industries. The presence of a crisis in the field of mechanical engineering has been proven, the causes of the crisis have been identified state of machine-building enterprises. The peculiarities of the functioning of the machine-building market in the conditions of military aggression were studied, the main problems and prospects of its development were determined. The main factors of the external and internal environment, which cause negative dynamics of production volumes and sales of mechanical engineering products of Ukraine, are systematized.
 Measures for the further effective and competitive development of this market for the long term have been determined, which include the development of effective state programs and strategies for the development of the industry, stimulation of innovative development of enterprises and the introduction of the latest technologies to ensure the possibility of manufacturing high-quality high-tech and knowledge-intensive products.

Integrating sustainability in the design process of urban service robots.

The concept of sustainability and sustainable development has been well discussed and was subject to many conferences of the EU and UN resulting in agendas, goals, and resolutions. Yet, literature shows that the three dimensions of sustainability (ecological, social, and economic) are unevenly accounted for in the design of mechatronic products. The stated reasons range from a lack or inapplicability of tools for integration into the design process, models for simulation, and impact analyses to necessary changes in policy and social behavior. The influence designers have on the sustainability of a product lies mostly in the early design phases of the development process, such as requirements engineering and concept evaluation. Currently, these concepts emerge mostly from performance-based requirements rather than sustainability impact-based requirements, which are also true for service robots in urban environments. So far, the main focus of research in this innovative and growing product branch lies in performance in perception, navigation, and interaction. This paper sets its focus on integrating all three dimensions of sustainability into the design process. Therefore, we describe the development of an urban service robot supporting municipal waste management in the city of Berlin. It is the set goal for the robot to increase the service and support the employees while reducing emissions. For that, we make use of a product development process (PDP) and its adaptable nature to build a specific development process suited to include the three dimensions of sustainability during the requirements engineering and evaluation activities. Herein, we show how established design methods like the life cycle assessment or life cycle costing can be applied to the development of urban service robots and which aspects are underrepresented. Especially, the social dimension required us to look beyond standardized methods in the field of mechanical engineering. Based on our findings, we introduce a new activity to the development process that we call preliminary social assessment in order to incorporate social aspects in the early design phase.

A Study on a Spacelike Line Trajectory in Lorentzian Locomotions

In this study, we establish a novel Lorentzian interpretation of the Euler–Savary (E−S) and Disteli (Dis) formulae. Subsequently, we proceed to establish a theoretical structure for a Lorentzian torsion line congruence which is the spatial symmetry of the Lorentzian circling-point dual curve, in accordance with the principles of the kinematic theory of spherical locomotions. Further, a timelike (Tlike) torsion line congruence is defined and its spatial equivalence is examined. The findings contribute to an enhanced comprehension of the interplay between axodes and Lorentzian spatial movements, which has possible significance in various disciplines, such as the fields of robotics and mechanical engineering.

How to solve engineering problems involving turbulent drag: Exact, asymptotic analytical and numerical techniques

The movement of a body subjected to a drag force proportional to the square of the velocity is of great importance in the field of mechanical engineering, since it is a realistic model in the regime of high velocity of the flow. In this paper, the trajectory of a projectile in quasi-vertical launch with quadratic drag is analyzed using the technique of matched asymptotic expansions. Through the asymptotic analysis, approximate analytical expressions for the projectile movement are found. The asymptotic solutions are compared with exact numerical results.

AI-Integrated Mechanical Engineering Solutions for Next-Gen Rocket Propulsion Systems

The integration of Artificial Intelligence (AI) into the field of mechanical engineering has heralded a new era of innovation and efficiency, particularly in the realm of next-generation rocket propulsion systems. This abstract explores the transformative impact of AI in the development and optimization of rocket propulsion technologies, highlighting its potential to revolutionize the aerospace industry. AI-powered mechanical engineering solutions have emerged as a game-changer in the design and manufacturing of rocket propulsion systems. Through advanced machine learning algorithms and predictive analytics, AI can significantly enhance the efficiency of the development process. By analyzing vast datasets of historical performance data, AI can identify patterns and correlations that human engineers might overlook. This allows for the creation of propulsion systems that are not only more powerful but also safer and more reliable. AI plays a pivotal role in the optimization of rocket engines. Traditional optimization methods often require extensive computational resources and time-consuming simulations. AI, on the other hand, leverages neural networks and genetic algorithms to rapidly iterate through design possibilities, resulting in propulsion systems that are finely tuned for maximum performance and fuel efficiency. This not only reduces development costs but also accelerates the time-to-market for next-gen rocket propulsion systems. Safety is paramount in rocket propulsion systems, and AI offers innovative solutions in this regard as well. AI algorithms can continuously monitor and analyze sensor data during rocket launches, quickly identifying anomalies and potential issues.[1] This real-time monitoring allows for immediate corrective actions, reducing the risk of catastrophic failures and ensuring the safety of crewed and uncrewed missions. AI-integrated mechanical engineering solutions enable autonomous maintenance and diagnostics of propulsion systems. Through predictive maintenance models, AI can predict when components are likely to fail and schedule maintenance activities accordingly. This proactive approach not only extends the lifespan of propulsion systems but also minimizes downtime and operational disruptions.

Experimental Study on Ultrasonic Cavitation Intensity Based on Fluorescence Analysis

The Ultrasonic cavitation effect has been widely used in mechanical engineering, chemical engineering, biomedicine, and many other fields. The quantitative characterization of ultrasonic cavitation intensity has always been a difficulty. Based on this, a fluorescence analysis method has been adopted to explore ultrasonic cavitation intensity in this paper. In the experiment of fluorescence intensity measurement, terephthalic acid (TA) was used as the fluorescent probe, ultrasonic power, ultrasonic frequency, and irradiation time were independent variables, and fluorescence intensity and fluorescence peak area were used as experimental results. The collapse of cavitation bubble will cause molecular bond breakage and release ·OH, and the non-fluorescent substance TA will form the strong fluorescent substance TAOH with ·OH. The spectra of the treated samples were measured by a F-7000 fluorescence spectrophotometer. The results showed that the fluorescence intensity and fluorescence peak area increased rapidly after ultrasonic cavitation treatment, and then increased slowly with the increase of ultrasonic power, which gradually increased with the increase of irradiation time. They first decreased and then increased with the increase of ultrasonic frequency from 20 kHz to 40 kHz. The irradiation time was the most influential factor, and the cavitation intensity of low frequency was higher overall. The fluorescence intensity and fluorescence peak area of the samples increased by 2–20 times after ultrasonic treatment, which could increase from 69 and 5238 to 1387 and 95451, respectively. After the irradiation time exceeded 25 min, the growth rate of fluorescence intensity slowed down, which was caused by the decrease of gas content and TA concentration in the solution. The study quantitatively characterized the cavitation intensity, reflecting the advantages of fluorescence analysis, and provided a basis for the further study of ultrasonic cavitation.

The Construction and Implementation of Practical Teaching Model for Cultivating Application-Oriented-Talents in Mechanical Engineering

Strengthening the training of application-oriented-talents and improving students’ engineering literacy is an important issue faced by applied local undergraduate institutions. Practical teaching plays a particularly important role in the cultivation of application-oriented-talents. Taking the practical teaching in the field of mechanical engineering as an example, this article elaborates on the construction model and practical effects of practical teaching for the training of application-oriented-talents.

Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective

ABSTRACT In the third industrial revolution (IR), mechatronics engineering has emerged, which is the merger of mechanical and electronics engineering along with information technology to an extent. In the current industrial revolution (fourth), the amalgamation of mechanical with Artificial intelligence (AI) has been used to simulate human behaviour in machines. In the earlier decades, the application of AI in mechanical engineering has expedited and the increased volume of related research papers is a proof of this fact. The broad domain of mechanical engineering has a lot of potential for machine learning applications in order to detect errors, minimise rejection, improve product quality, optimise a system, and so on, as it has not been intensely explored although. This article’s goal is to give a structured evaluation of works that employ vision systems and to attract researchers to analyse its potential integration with machine learning (ML) techniques from the industry 4.0 viewpoint. Current trends and research gaps in the area of manufacturing in collaboration with ML are also discussed at appropriate places. A general procedure to carry out research in the field of mechanical engineering is also presented. The results of various studies highlighted in this paper confirm that the implementation of AI in ME has provided an optimum solution to many mechanical problems that improved product quality and minimised the associated cost. Finally, the authors have led a direction to empower researchers in order to explore various areas in mechanical engineering from Industry 4.0 and AI perspective and enable possible topics for future research. The article concludes by providing challenges that may be faced in the coming future about the use of machine learning in mechanical engineering problems.

Analysis of the Ability to Develop CNC Machine Part Programs for Vocational High School Students in Indonesia

The aims of this study are (1) to analyze the effect of the ability to read technical drawings on the ability to make CNC program parts; (2) to analyze the effect of geometry skills on the ability to make CNC program parts; (3) to analyze the effect of cutting parameter knowledge on the ability to make CNC program parts; and (4) analyze the effect of the ability to read technical drawings, geometry skills, and knowledge of cutting parameters simultaneously on the ability to make CNC program parts. This research is quantitative correlational research. The subjects of the study were 360 students of SMK class XII in the field of Mechanical Engineering in the city of Palembang, Indonesia, using a random sampling technique by Isaac and Michael equations so that a total sample of 187 students was obtained. The data collection method uses the test method. The data analysis used is a correlational statistical analysis between the three dependent variables and one independent variable. The results of the study: (1) The ability to read technical drawings has a positive and significant effect on the ability to make CNC programs by 11.17%; (2) Geometry ability has no significant effect on the ability to make CNC programs; (3) Knowledge of cutting parameters has a positive and significant effect on the ability to make CNC programs by 75.36%; and, (4) the ability to read technical drawings, geometry skills, and knowledge of cutting parameters have a positive and significant effect on the ability to make CNC programs by 89.9%.

Analysis of Digital Literacy Technology Design for the Department of Mechanical Engineering Based on a Website at Universitas Muhammadiyah Sumatera Barat

This research aims to analyze the level of importance of digital literacy understanding among students of Mechanical Engineering at the University of Muhammadiyah (UM) Sumatera Barat. The digital literacy developed in this study not only facilitates access to learning references, literature, research methodologies, and testing in the field of Mechanical Engineering but also designed as a data storage place for student practical and research testing results. This research used a questionnaire as a data collection technique, which was filled out by Mechanical Engineering students at Universitas Muhammadiyah Sumatera Barat. The first questionnaire was conducted to measure the level of students' understanding of digital literacy in the field of Mechanical Engineering, and the results were used as the basis for creating a literacy website. The second questionnaire was conducted to evaluate the created literacy website. Data analysis was performed using quantitative descriptive analysis. The results showed that 57% of respondents had good understanding of digital literacy in the field of Mechanical Engineering. However, only 15% of respondents often searched for references on digital technology, and 80% of respondents faced difficulties in finding credible digital literacy sources. Moreover, most respondents expressed their interest in learning and using digital technology in research and practical work. These results served as the basis for creating a digital literacy website. The digital literacy website was evaluated, and the evaluation result showed that most respondents stated that the created literacy website was easy to use and helpful in the learning or task completion process. However, some aspects needed improvement, such as relevant and understandable content and the quality of content presentation that is more interesting for respondents. Overall, the literacy website has a high level of satisfaction in several aspects.

Computational Heat Transfer and Fluid Dynamics

Modern advances in numerical methods have led to the rapid development of various fields of human activity, including microelectronics, mechanical engineering and medicine [...]

Preface: 5th International Conference on Mechanical Automation and Materials Engineering (MAME 2023)

The 2023 5th International Conference on Mechanical Automation and Materials Engineering (MAME 2023) was successfully held from 10th to 11th of June, 2023 in Hohhot, China. This conference provides a forum for scholars, researchers, postgraduate students, and practitioners in the fields of mechanical engineering, automation, control technology, materials engineering, and manufacturing engineering to share ideas, designs, and experiments. Welcome participation from academia, industry and government.
 The conference agenda will work as a competence platform, providing facilities for efficient communication to boost the mechanical science and materials engineering knowledge of young scientists and help them in their professional development. Young scientists will be given a unique chance not only to improve their presentation skills and public speaking abilities but to gain an experience of scientific publication.
 The importance of MAME 2023 lies in the need to create conditions for the recognition growth of young scientists in world scientific circles and increase in interest in their work, increase in the level of scientific publications of students, postgraduate students and young scientists, and increase in their quality. The exchange of experience in the field of professional interests with colleagues from foreign and scientific organizations will improve the qualifications of researchers and establish promising scientific contacts among young scientists.
 Scientific Committee of MAME Conference
 Hohhot, China

TECHNOLOGIES OF COMPUTER GEOMETRIC MODELING AS A MEANS OF MOTIVATING FUTURE CIVIL ENGINEERS FOR PROJECT ACTIVITIES

Computer geometric modeling is a necessary component of the design process in modern engineering. This is a technological process that allows you to create virtual objects and systems using computer programs and specialized algorithms. Computer geometric modeling is used in many fields of engineering, including construction, mechanical engineering, aviation, medicine, and others. One of the main tasks that can be solved with the help of computer geometric modeling is the design of buildings and structures. Construction is one of the most complex and costly industries, where ensuring the safety and efficiency of projects is a particularly important task. Computer geometric modeling allows civil engineers to create and analyze virtual 3D models of buildings, which greatly facilitates the design process and increases the quality and efficiency of projects.
 The purpose of this article is to study the importance of computer geometric modeling technologies for future civil engineers and their motivation for project activities.
 The article is devoted to the study of the impact of computer geometric modeling technologies on the motivation of future civil engineers for project activities. The authors consider the advantages of using these technologies in the educational process and examine the practical experience of their application. The article contains an overview of previous research in this area, a description of the importance of using computer geometric modeling to motivate engineering students, and prospects for further research into computer geometric modeling technologies in the engineering field. As a result of the study, it was established that the use of computer geometric modeling technologies has a positive effect on the motivation of future civil engineers for project activities. In particular, students showed greater interest and involvement in the learning process, which allows them to acquire more knowledge and skills in this field. The article describes methods and means of computer geometric modeling, such as CAD, BIM, and others, and shows their advantages in comparison with traditional design methods. In addition, the article examines the impact of the use of computer geometric modeling technologies on improving the quality of design activities and the efficiency of production of building structures. The results of the study can be useful for teachers and students working in the field of engineering education, as well as for professionals involved in design and construction. In general, the article will help expand our knowledge about the application of computer geometric modeling technologies in the modern engineering field and increase interest in their use in project activities.

The Modeling of Fuel Auto-Ignition Delay and Its Verification Using Diesel Engines Fueled with Oils with Standard or Increased Cetane Numbers

This article contains the results of mathematical modeling of the self-ignition delay (τc sum) of a single droplet for various fuels, and the results of measurement verification (τc) of this modeling in diesel engines. The result of modeling the τc sum (as a function of the diameter and ambient temperature of the fuel droplet) revealed two physical and two chemical stages that had different values of the weighting factor (WFi) in relation to the total delay of self-ignition. It was also found that the WFi values of individual phases of the self-ignition delay differed for different fuels (conventional and alternative), and in the total value of τc sum. The measured value of the self-ignition delay (τc) was determined in tests using two diesel engines (older—up to EURO II and newer generation—from EURO IV). The percentage difference in the Δτc sum value obtained from modeling two fuels with different cetane number values was compared with the percentage difference in the Δτc value for the same fuels obtained during the engine measurements. Based on this analysis, it was found that the applied calculation model of the self-ignition delay for a single fuel droplet can be used for a comparative analysis of the suitability of different fuels in the real conditions of the cylinder of a diesel engine. This publication relates to the field of mechanical engineering.

Preface: 4th International Conference on Mechanical Engineering, Civil Engineering and Material Engineering (MECEME 2023)

It is with great pleasure to introduce the proceedings of the 2023 4th International Conference on Mechanical Engineering, Civil Engineering and Material Engineering (MECEME 2023). The conference was held during May 13-14, 2023 in Shenyang, China.
 MECEME series provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the fields of mechanical engineering, green manufacturing, architectural design, construction technology, civil engineering, and material engineering. This conference provides an opportunity to highlight recent developments and to identify emerging and future areas of growth in these exciting fields.
 MECEME 2023 has the main purpose to bring researchers and scholars to share their knowledge and experiences. This conference provided delegates with a good opportunity to exchange new ideas, establish research and/or business contacts, and establish potential partnerships for global partnerships. We sincerely hope that this conference will help to increase knowledge in relevant scientific and academic fields.
 Scientific Committee of MECEME 2023
 Shenyang, China

The application of nanomedicine in clinical settings.

As nanotechnology develops in the fields of mechanical engineering, electrical engineering, information and communication, and medical care, it has shown great promises. In recent years, medical nanorobots have made significant progress in terms of the selection of materials, fabrication methods, driving force sources, and clinical applications, such as nanomedicine. It involves bypassing biological tissues and delivering drugs directly to lesions and target cells using nanorobots, thus increasing concentration. It has also proved useful for monitoring disease progression, complementary diagnosis, and minimally invasive surgery. Also, we examine the development of nanomedicine and its applications in medicine, focusing on the use of nanomedicine in the treatment of various major diseases, including how they are generalized and how they are modified. The purpose of this review is to provide a summary and discussion of current research for the future development in nanomedicine.

Digitalization of Production and Export of the Kazakhstan's Electric, Agricultural Machines, Taking into Account the Experience of Russia (Technological and Legal Problems)

Digital production and export means the introduction of digital technologies into the production process of transport and agricultural machinery of the Republic of Kazakhstan in cooperation with Russia with subsequent export deliveries. The relevance of this topic lies in the justification that digital technologies and law ensure the efficiency of these plants. This goal can be achieved in the future by solving the problems of implementing the industrial Internet of Things, Big Data, augmented reality, artificial intelligence systems, 3D-printing. In the order of forecasting, new Kazakh laws on the digitalization of mechanical engineering are proposed for development and adoption, taking into account the legislative and technological experience of Russia, as well as new international universal conventions on the procedure for solving global problems of digital technologies in the field of industry and mechanical engineering. This research was carried out with the financial support of the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (IRN grant No. AP09261449).

СОЗДАНИЕ МАТЕМАТИЧЕСКОГО ОБЕСПЕЧЕНИЯ ДЛЯ ТОЧНОСТИ ВЫБОРА ТЕХНИЧЕСКИХ СВОЙСТВ КРАН-МАНИПУЛЯТОРА МЕХАНОСБОРОЧНОГО УЧАСТКА

The task is set to select and study information and measuring elements and actuating mechanisms for complex automation of CNC machines based on the analysis of mechanical assembly production sites in the field of mechanical engineering. Paper objective is to develop information support for measuring instruments and actuating mechanisms to implement the automation of a crane manipulator serving a flexible production site with mechanical assembly machines. The following problems are stated: technological analysis of the research object based on recursive procedures; determination of measurement operations and actuating mechanisms on the active elements of a flexible production site, including manipulator crane operations, turning, milling, radial drilling machines; study of the issue of designing a crane manipulator with a clamp; calculation of the power of the crane manipulator actuator to select the load capacity of its clamp. 
 The task is set to develop information support for measuring and actuating devices for machine-assembling machines and crane manipulators servicing the machine body. To determine the power of the manipulator crane drive, a mathematical model of the transmission and the required characteristics of the load release in braking mode are constructed.