PRACTICAL BASIS OF TEACHING MECHANICAL ENGINEERING TERMS

It is very difficult to build a knowledge base in the mechanical engineering field. Because there is a great deal of complicated knowledge in mechanical engineering in comparison with other engineering fields. To build a large knowledge base, much research to connect Data Base System (DBS) and Knowledge Base System (KBS) systematically has been conducted. DBS is suitable for storing much knowledge but is not suitable for the representation of knowledge. Therefore, we believe it is possible in the mechanical engineering field to realize DBS characters in KBS by using an extended deamon function and extended system slot. If this system is realized, KBS will be suitable for managing and representing knowledge, and it will be easy to build a knowledge base in the mechanical engineering field. This paper describes the method of building a large knowledge base in mechanical engineering using an extended daemon function and an extended system slot, and "the realization of such a knowledge base."

With the continuous progress of science and technology, the mechanical field is also constantly upgrading from traditional mechanical engineering to the mechatronics engineering and artificial intelligence (AI) is one of them. AI deals with a computer program that possesses own decision-making capability to solve a problem of interest with imitates the intelligent behavior of expertise which finally turns into higher productivity with better quality output. From the inception, various developments have been done on AI system which nowadays widely implemented in the mechanical and/or manufacturing industries with broaden area of application such as pattern recognition, automation, computer vision, virtual reality, diagnosis, image processing, nonlinear control, robotics, automated reasoning, data mining and process control systems. In this study, review attempt has been made for AI technologies used in various mechanical fields such as thermal, manufacturing, design, quality control and various connected fields of mechanical engineering. The study shows the blend mixed of AI technologies like deep convolutional neural network (DCNN), convolutional neural network (CNN), artificial neural network (ANN), fuzzy logic and many more to control the process parameters, process planning, machining, quality control and optimization in the mechanical era for smooth development of product or system. With the implementation of AI in mechanical engineering applications, the error, rejection of components can be minimized or eliminated and system optimization can be achieved effectively turn in economical better quality products.

In modern machine-building production, there are many parts that have both significant overall dimensions and complex hard-to-reach surfaces for processing. The manufacture of such parts is carried out on specialized equipment, which has the same significant overall dimensions. However, the complexity of the design of a number of parts, such as the body of a rocket engine, large volume tanks, non-separable metal structures, etc., as well as their inaccessibility, level the technological capabilities of this equipment. Currently, industrial robots equipped with tool spindles are used to process such parts. The presence of a large number of degrees of freedom of this equipment, the relatively small overall dimensions and the vastness of the working area allow them to be effectively used in this field of mechanical engineering. However, the insufficiently studied rigidity of this equipment, the lack of specific recommendations for their use significantly limit the scope of their application. Thus, the issues related to the mutual influence of the rigidity of the technological system, cutting forces and cutting conditions in the manufacture of large parts using industrial robots are relevant and require a comprehensive study. In order to study dynamic processes in the manufacture of large-sized parts using an industrial robot, experiments were carried out to determine the amplitude-frequency characteristics of vibrations that occur during processing. An experimental study made it possible to establish that the rigidity of the technological system varies over a wide range. At the same time, the rigidity of the part under an impulse load difIn modern machine-building production, there are many parts that have both significant overall dimensions and complex hard-to-reach surfaces for processing. The manufacture of such parts is carried out on specialized equipment, which has the same significant overall dimensions. However, the complexity of the design of a number of parts, such as the body of a rocket engine, large volume tanks, non-separable metal structures, etc., as well as their inaccessibility, level the technological capabilities of this equipment. Currently, industrial robots equipped with tool spindles are used to process such parts. The presence of a large number of degrees of freedom of this equipment, the relatively small overall dimensions and the vastness of the working area allow them to be effectively used in this field of mechanical engineering. However, the insufficiently studied rigidity of this equipment, the lack of specific recommendations for their use significantly limit the scope of their application. Thus, the issues related to the mutual influence of the rigidity of the technological system, cutting forces and cutting conditions in the manufacture of large parts using industrial robots are relevant and require a comprehensive study. In order to study dynamic processes in the manufacture of large-sized parts using an industrial robot, experiments were carried out to determine the amplitude-frequency characteristics of vibrations that occur during processing. An experimental study made it possible to establish that the rigidity of the technological system varies over a wide range. At the same time, the rigidity of the part under an impulse load differs from the rigidity during milling by at least an order of magnitude, and the rigidity of the spindle during milling differs from the rigidity of the part by at least 2 orders of magnitude. Based on this, in the process of designing the machining of large-sized non-rigid parts using industrial robots, it is necessary to take into account the worst conditions for rigidity. It is advisable to base further recommendations on the appointment of cutting conditions under changing processing conditions on the basis of mathematical modeling of the rigidity of the elements of the technological system. Also, to automate the process of removing the parameters of the rigidity of the technological system, an urgent task is to determine by test determination of vibrations on the spindle of an industrial robot and indirect assessment of microdisplacements on the part

In the field of mechanical engineering, structural systems that can present different types of symmetries are frequently encountered. The choice of such solutions with symmetries is generally the result of considering factors such as reducing design and production costs, logistical considerations, but also for aesthetic reasons. The existence of these symmetries inside some structures brings new properties in the mechanical behavior and can be useful in simplifying the calculation, in the static and dynamic case. Symmetries can bring new properties when the problem of studying vibrations is raised. Thus, the dynamic analysis time can be reduced and the designer can get a quick picture of the behavior of the structure in operation. The paper aims to study a special situation of symmetry that can be encountered in engineering practice, namely the existence of three planes of symmetry within a structure. Such structures can be found frequently in the field of mechanical engineering but also in the construction of buildings. The presented properties can contribute to the reduction of dynamic analysis time and therefore to the reduction of design costs. An example from real life is analyzed in the work, highlighting the listed properties.

Aim. To identify key features and trends in the process of trade in engineering products between Russia and Central and Eastern European (CEE) countries in 2020-2022.Tasks. To analyze the dynamics of Russia’s trade relations with CEE countries in the field of mechanical engineering (including electronics and electrical engineering) under sanctions; identify the main commodity groups in the structure of the mechanical engineering sector in trade between Russia and CEE countries; identify the impact of Western sanctions on trade in mechanical engineering products between Russia and CEE countries.Methods. The authors used such research methods as statistical analysis, observation, generalization, description and graphic modeling.Results. The results obtained in the analysis indicate that the export of machine-building products of CEE states prevails over the corresponding Russian exports to this region. The sanctions conditions have determined an unfavorable long-term trend in the trade of engineering products between Russia and CEE countries.Conclusions. The trade and economic indicators analyzed in this article have demonstrated a decline in the volume of trade interaction between Russia and the CEE countries in the machine-building sphere, especially the sharp decline in exports of the states of the region to Russia. Under the conditions of sanctions, both sides incur economic losses, which are higher for the CEE states. By freezing trade relations with Russia, the CEE countries are deprived of existing benefits and an occupied niche in the Russian market. Moreover, it will be difficult for the states of this region to find new markets for engineering products and to compensate for the losses due to the refusal of exports to Russia.

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

In view of the Zhejiang province industry characteristics and the demand for talents in the field of mechanical engineering, combined with our advantages, we put forward the orientation for training talent with the coordinated development of knowledge, ability and quality. This paper analyzes the training target and plan in the mechanical engineering, sets the practice links to cultivate the students' engineering consciousness, practical ability and innovation ability, and establishes the quality monitoring and evaluation system. On the basis of the intelligent manufacturing system, the intelligent plant experimental system based on industry 4.0 is developed. Taking the training target as the starting point, the complete system with the closed loops is formed, which is composed of students, graduation requirements, continuous improvements, curriculum programs, and supporting conditions. A mechanism for continuous improvement is developed, and a healthy cycle is entered into. So, the quality of engineering education is continuously improved.

It is with great pleasure to introduce the proceedings of the 2022 3rd International Conference on Mechanical Engineering, Civil Engineering and Material Engineering (MECEME 2022). The conference is an international seminar organized by China University of Geosciences, Manipal University and University of Minho. The conference was held during August 13-14, 2022 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, civil engineering, material engineering, industrial engineering and green manufacturing. The meeting provides an opportunity to highlight recent developments and to identify emerging and future areas of growth in these exciting fields.
 MECEME 2022 has the main purpose to bring researchers and scholars to share their knowledge and experiences. The conference serves as an excellent opportunity to meet each other and to exchange ideas with theme of "Opportunities and Challenges for Research and Technology Enhancement in Post Covid-19 era".
 Scientific Committee of MECEME 2022
 Shenyang, China

The 2nd International Conference on Mechanical Engineering and Applied Sciences, 2022 (ICMEAS – 2022) was a continuation of the previous endeavor dedicated to gather a significant number of diverse leading scholar, scientist, academician, researchers, industrial experts etc., together from different parts of the globe and exchange their experiences and researches. That conference offered a platform to junior researchers and scientist to have an exposure to a wider but uniquely intellectual community and have interaction with them. It gave an exceptional value for students, academics and industry researchers. The ICMEAS – 2022 also provided a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Mechanical, Manufacturing, Aeronautical, Naval, and Energy Engineering and other related fields. This conference was run both online and physical modes over a period of three days of time.The ICMEAS – 2022 conference was a great success with the relentless effort of each member of the organizing committee and active participation of the organizing partners, and spontaneous response of the scholars, researchers and scientist from around the world. The voluntary contribution of the scientific community in completing the rigorous peer review process was remarkable.It would not be possible without the unreserved patronization of the Commandant MIST and persistent conviction of the Chair, Co-Chair and Organizing Chair of the ICMEAS – 2022 conference. Last but not the least, contribution of all sponsors, particularly MJL Bangladesh Limited was undeniable to make that conference successful.List of Organising Committee, Advisory Committee, Scientific Committee, Publication and Technical Sub Committee, Reviewers are available in this pdf.

The principal objective of the present paper is to meticulously review the family of biomaterials used in implants. A spectrum of applications of biomaterials in the perspective of prosthesis is also presented. This paper also emphasises on the review of the recent advancements in the field of biomedical implants with respect to mechanical engineering perspective. The latest technologies such as finite element modelling of prosthetic implants, additive manufacturing of implants and certain experimental methods adopted in the field of prosthesis are discussed. Moreover, various models were modelled using SOLIDWORKS® 2022 modelling software and analysed using ANSYS® 2021 R2 finite element analysing software and implant models were additive manufactured to make this review more interesting and for better understanding. Overall, the latest technology in the field of mechanical engineering that fuels its impact in life-saving biomedical engineering has been discussed briefly.

We are pleased to welcome you to the 2nd International Conference on Mechanical, Aerospace, and Electronic Systems (MAES 2024). The conference represent a pivotal gathering of experts, researchers, and industry leaders from around the world, showcasing the latest advancements and innovations in the fields of mechanical engineering, aerospace, electronic systems, and design and manufacturing engineering. MAES 2024 focuses on the cutting-edge trends and challenges in modern mechanical engineering, aerospace technologies, and electronic systems. As technological advancements continue to accelerate, these fields play an increasingly significant role not only in industrial and technological innovation but also in driving global sustainability. We believe the research presented at this conference will provide valuable insights and inspire further breakthroughs in these areas. This year’s conference features a wide array of innovative research, ranging from theoretical studies to practical engineering applications. The event is composed of the keynote speeches delivered respectively by Prof. Pasquale Daponte (Fellow, IEEE, University of Sannio, Italy), Prof. Zhenghong Zhu (York University, Canada), Prof. Roberto Montemanni (University of Modena and Reggio Emilia, Italy), Prof. Liang Yu (Northwestern Polytechnical University, China), and the invited talk delivered respectively by Assoc. Prof. Zili Wang (Zhejiang University, China), with the on-site technical session and the online technical session. List of Conference Committee is available in this pdf.

The Vocational Pedagogy course is an important factor in supporting students' teaching readiness. Observation shows that PLK students have a gap in teaching readiness even though they have taken Vocational Pedagogy courses. This study describes the teaching readiness of students in the Mechanical Engineering Department at Padang State University and analyzes the effect of the course on teaching readiness. The study employed a causal quantitative approach, surveying 92 students from the 2020 and 2021 cohorts, selected via Proportionate Stratified Random Sampling. Data were collected via a questionnaire and analyzed using descriptive analysis and simple linear regression. The results showed that students' mastery of the Vocational Pedagogy course was high, with an average score of 4.5. Students' teaching readiness was also in the "ready" category, with an average score of 4.5. Hypothesis testing results show that vocational pedagogy courses positively and significantly impact student teaching readiness. The coefficient of determination (R-square) is 0.545, meaning 54.5% of teaching readiness variables are influenced by vocational pedagogy courses, while other factors influence the rest. This study concludes that Vocational Pedagogy courses significantly and positively impact teaching readiness among students in the Department of Mechanical Engineering at FT-UNP. Micro teaching is a crucial factor in improving teaching readiness in this course.

This article investigates research article abstracts in terms of their rhetorical patterns and the use of verb tenses and voice. A total of 40 abstracts were selected from four international journals in the fields of Biology, Mechanical Engineering, Linguistics, and Medicine. A four move model was adopted from Hardjanto (1997) to analyze the structure of the abstracts. The results show that all the abstracts have Move 1, creating a research space; 70% have Move 2, describing research procedure; 85% have Move 3, summarizing principal results; and 85% have Move 4, evaluating results. All the abstracts in medicine have Moves 1, 2, 3 and 4, whereas the most common pattern in Biology is Moves 1, 3 and 4, in Mechanical Engineering Moves 1, 2 and 3, and in Linguistics Moves 1, 2 and 4. This seems to suggest that there is a disciplinary variation in the structuring of RA abstracts in the four disciplines under investigation. With regard to the use of verb tense and voice in each move, the present tense and past tense in the active voice and the past tense in the passive voice were the most frequently used tenses. The present tense in the active voice was frequently used in Moves 1 and 4, while the past tense in the active voice was commonly used in Move 3 and the past tense in the passive voice was frequently found in Move 2. Furthermore, it was found that the present tense in the active voice was frequently used in Biology, Mechanical Engineering and Linguistics, whereas the past tense in the active voice occurred more frequently in Medicine, and the past tense in the passive voice was more frequently found in Mechanical Engineering than in other disciplines.

The additive manufacturing technology of metal components is an advanced technology in the field of mechanical engineering and material science. Laser selective melting (SLM) is one of the most widely used methods in additive manufacturing. The temperature field of SLM process is the key factor to determine the quality of additive, so it has important research value. In this paper, the influence of laser power and additive speed on the temperature field of aluminum alloy additive manufacturing is studied by CFD numerical simulation technology. The results show that the CFD model can well simulate the SLM process. The additive temperature decreases with the increase of additive speed and increases with the increase of laser power. By adjusting the additive manufacturing parameters, the quality of additive manufacturing can be corrected and improved.

The unique design freedom offered by additive manufacturing (AM) technologies enables engineers to develop more innovative products with relatively lower costs within a shorter period of processing time in comparison with conventional manufacturing methods. On the other hand, the unique capabilities of AM have created a platform for researchers to combine several engineering methods with the new manufacturing technique to grow industrial applications as well as resolve the existing issues with AM processes. Understanding the research values that AM offers academic environments, this paper performs a systematic survey on AM-related research topics in the fields of mechanical engineering and materials science that have attracted much attention from research teams over the last few years. These topics, namely process modelling in AM, innovative research in AM, generative design by AM, material characterisation in AM processes, and finally, design for additive manufacturing (DfAM), are notably investigated through this study.