Suitable Daemon Function for Building Knowledge Base in Mechanical Engineering Field.

This article explains the need for the research in the field of engineering terminology, the process of teaching it in foreign languages, the comparative application of engineering terms in different languages and studying the development trends. Objective of the article is to describe the methodology of teaching mechanical engineering terminology on the basis of study research in the field of mechanical engineering as a complex of heavy equipment in industry that produces household appliances, as well as consumer electronics and products of defense importance. Methods of the investigation that enabled to: study and analyze mechanical engineering terms; develop methodology of teaching mechanical engineering terms; analyze selection and assessment criteria of case studies; analyze selection and assessment criteria of project-based teaching; organize pedagogical experiments and analyze their results. It is an integral part to investigate the sphere of machine-building and metalworking industries, the production of metal products, metal structures and the repair of machinery and equipment. Furthermore, the issues of teaching engineering terminology in order to form professional foreign language competence in technical students by means of using new pedagogical technologies are of high significance. Such as, typology of terms in the field of mechanical engineering, teaching terminology whereby case studies and projects, examples of case studies and study projects are given. It is also important to pay attention to the etymology and the sources of the formation of terms, their peculiarities and definitions in special contexts as a complex human speech and language activity. Results and discussion. The article discloses the processes of activating terminology for obtaining information, through cognitive activity. Research works in the field of mechanical engineering, the practical basis of teaching terms and its effectiveness are also analyzed. The terms, vocabulary related to the field of mechanical engineering, case studies and analysis of independent work assignments are taken into account in the organization and conducting the trainings defined in the pedagogical experiment. As a result of experimental research, it was proved by mathematical statistical methods that the efficiency was achieved by 15% in case studies and 17% in educational projects. It was found that the mean value of the scores in the experimental group was 17% higher than in the control group. Hence, the research conducted has proven to be effective. Conclusions. The difficulties that arise in the process of comparing terminological activities show not only the specificity of individual languages, but also the specific role of terms in the national language system. Comparing the terminology of the English and Uzbek languages in the field of mechanical engineering not only allows to determine the general and specific features of the terms of mechanical engineering in the two languages, but also provides an in-depth study of both terminological systems.

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.

An expert database system is an expert system which is developed on databases using DBMS technology to manage facts and rules. Frame-based expert systems are widely used as the knowledge representation for such expert systems with large knowledge bases. Many systems have the ability to connect to external databases. Facts stored in databases can be loaded into expert system's knowledge base and inference is performed by the inference engine of the expert system. In many cases, such external facts are required several times for each inference. Thus, a lot of communication traffic takes place. This research work present the design and implementation of a frame-based object-relational database system which has a tight coupling between the expert system and the external knowledge base. The external knowledge base also use frame as its knowledge representation. More over, it has its own inference engine so that inference can be perform on the knowledge base side and the results, not only simple facts, are sent back to the expert system for further inference. A medical consultation system is used as an illustrated example an Oracle lOg object relational DBMS is used as the database platform.

Evaluating the success of a knowledge acquisition (KA) task is difficult and expensive. Most evaluation approaches rely on the expert themselves, either directly, or indirectly by relying on data previously prepared with the help of experts. In incremental KA, knowledge base (KB) errors are monitored and corrected by an expert. Thus, during its evolution a record of the knowledge based system (KBS) performance is usually easy to keep. We propose to integrate with the incremental KA process, an evaluation process based on a statistical analysis to estimate the effectiveness of the KBS, as the KBS is actually evolved. We tailor such an analysis for Ripple Down Rules (RDR), which is an effective incremental KA methodology where a record of the KBS performance can be easily derived and updated as new cases are processed by the system. An RDR KB is a collection of rules with hierarchical exceptions, which are entered and validated by the expert in the context of their use. This greatly facilitates the knowledge maintenance task which, characteristically in RDR, overlaps with the incremental KA process. The work in this paper aims to overlap evaluation with maintenance and development of the knowledge base. It also minimises the major expense in deploying the RDR KBS, that of keeping a domain expert on-line during maintenance and the initial period of deployment. The expert is not kept on-line longer than it is absolutely necessary. We use the structure and semantics of an evolving RDR KB, combined with proven machine learning statistical methods, to estimate the added value in every KB update, as the KB evolves. Using these values, the decisionmakers in the organisation employing the KBS can apply a cost-benefit analysis of the continuation of the incremental KA process. They can then determine when this process, involving keeping an expert on-line, should be terminated.

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

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.

Research in verification and validation (V&V) of knowledge based systems (KBS) has emerged as a distinct field in the last decade and is intended to address issues associated with KBS quality aspects and to credit such applications to the same degree as conventional applications. Part of the knowledge and techniques developed are now ready to be transferred to industry for the implementation of software certification. Certification is probably the most advanced use of the V&V methods, techniques and knowledge that have been developed so far. The paper approaches the challenging issues of certifying the knowledge base (KB) component of a KBS. KB certification uses a number of different certification methods such as static analysis, testing, inspection, and modeling to assess the quality of the KB component. Although these methods are currently used in KBS development, it is not yet clear how they would be applied by an independent certification organization to arrive at a pass/fail decision. The article discusses the components of KB certification and identifies application areas directly connected with industrial needs.

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.

Artificial intelligence can assist in industrial control in many ways, but this paper concentrates on the role of knowledge-based systems in the areas of control, detection and diagnosis of faults, scheduling and planning. The paper argues that the application of knowledge-based techniques can provide a unification of these and other activities, and outlines the requirements of knowledge representation and inference techniques that are needed to make such systems a reality. The advances in hardware, including sensors as well as computers, that will be driven by and in turn stimulate the introduction of the knowledge-based industrial control systems are also considered.

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.