编号 9 (2024)

Technologies of mechanical processing of workpieces

SYSTEM-SYNERGETIC ANALYSIS AND SYNTHESIS OF A CONTROLLED CUTTING PROCESS

Zakovorotny V., Gvindzhiliya V.

摘要

Currently, good progress has been produced in the creation of machine tools with CNC computer systems. They are able to ensure the coincidence of program and the trajectories of the actuators with high accuracy. But when manufacturing parts with the same accuracy it becomes possible in rare circumstances. This is because of the necessity to take into account the entire controlled dynamic cutting system when manufacturing parts, while the quality of the part depends on various physical interactions under process work. In contrast to the well-known research and development, the paper focuses on the fact that the modeling level is based on a system-synergetic representation, which includes the procedure of expansion – compression of the state space. The system takes into account elastic deformations of its elements, evolutionary changes in their properties, uncontrollable disturbances, revealing physical interactions. This is a complex system, where its individual coordinates of the state depend on programmable trajectories first of all, secondly, they are characterized by internal connections and self-organization, and finally, they affect the output properties of cutting. The output properties include parts quality parameters and specified costs for parts manufacture. The article describes the main provisions of the synergetic system analysis and synthesis of a dynamic cutting system control, provides its mathematical modeling, views a simple procedure for analyzing and synthesizing a model. The example of practical application has been also observed.
Science intensive technologies in mechanical engineering. 2024;(9):3-13
pages 3-13 views

Technologies of electromachining and combined processing

WAYS OF QUALITY IMPROVEMENT FOR HIGH-TECH PRODUCTS BY COMBINED METHODS

Izvekov A., Smolencev V., Kirillov O.

摘要

The results of scientific and applied research in the field of modern methods of combined treatment using the combination of thermal, magnetic, ray, chemical permanent and impulse action accompanied by mechanical processes in a single technology are presented. The materials of the article contribute to the creation and development of new ways to improve the quality of high-tech products, aimed at expanding technological capabilities in the production of aviation, space, transport and other branches of technology. New methods of improving the quality of high-tech products by combined methods include their use in technological complexes created from the equipment of domestic production, which can successfully overcome the problems of import substitution. Technological capabilities, meaningfulness for assigning and evaluating their effectiveness to improve the quality of scientifically based combinations in a single process of external and internal influences are viewed. A unified approach to the design of combined technologies is proposed with an assessment of the capabilities of each assigned type of impact, taking into account the level of their operability. A new approach to high-tech products quality management is shown trough feasible conferring of effective operational properties due to the use of developed multilayer coatings, the creation technology and use of which made a significant scientific contribution to technological science.
Science intensive technologies in mechanical engineering. 2024;(9):14-24
pages 14-24 views

Science intensive technologies in machine assembly

DEVELOPMENT OF THE THEORY AND PRINCIPLES FOR PLANNING MULTIPRODUCT MANUFACTURING ACTIVITY OF MACHINING AND ASSEMBLY

Bochkarev P.

摘要

Instructional guidelines for planning a multiproduct manufacturing activity (MA) for machining and assembly aimed at solving currently existing problems of machining industries process design, i.e. subjectivity of making design decisions, insufficient automation, and inability of the observing of current production situation are presented. The objective reasons for the need to improve approaches to the development of MA are the long cycle of the process design period, the low quality of the processes operation, and the impossibility to adjust MA at the implementation stage. The main structural elements of multiproduct manufacturing activity planning are described. Based on a systematic approach, all stages of work on technological support of production systems are combined, making possible to use the information arrays of data on the real state of the production system and operational information on production tasks in a short time frame. The results of theoretical work provide for the process of making MA as a system that combines the design and implementation of technology, taking into account the impact of changes in the production situation. In the process of approbation and use of the presented methodological approaches, significant areas of research were identified, smoothing away difficulties connected with the performance targets, enabling the development path of the system. Among them: the interaction with the design preparation of production; detailing data on the initial workpieces in connection with the choice of the MA structure and the appointment of a rational set of technological equipment; determining the requirements for technological equipment, focused on ensuring the flexibility of their use; determining the correlations between the multiple-path design of parts manufacturing process and the requirements for accuracy indicators in the assembly of products. The developed formalized models for the implementation of the stages of technological preparation of machining industries are a background for full automation of MA design and highly efficient functionality of machine-building complexes.
Science intensive technologies in mechanical engineering. 2024;(9):25-32
pages 25-32 views

Technological support of operational properties of machine parts and their connections

QUALITY MANAGEMENT OF KNOWLEDGE-BASED PROCESSES

Vasiliev V., Alexandrova S.

摘要

The article shows the importance of information (digital) technologies in a successful high-tech enterprise. The directions of development of quality management tools and methods for knowledge-based innovative processes and productions at various stages of the product life cycle are analyzed. The most important methods are the digitalization of the collection, storage and analysis of large amounts of data, the control of production and management processes, the construction of a product lifecycle management system based on modern information technologies. To implement new approaches to the manufacturing process management, digital transformation is used - the process of transformation of a company aimed at forming a unified information environment throughout the product lifecycle, combining various methods and tools for data management at the enterprise. An important step in the development of data processing technology is the use of artificial intelligence and neural networks. Alongside with the development of information technology, the possibilities of analytics from descriptive to prescriptive and cognitive are also growing. Based on the analysis of best practices in quality management, it can be concluded that it is possible and necessary to digitalize knowledge-based processes with a transition to more efficient methods of organizing production and quality management.
Science intensive technologies in mechanical engineering. 2024;(9):33-41
pages 33-41 views

Additive technologies and laser processing

PRODUCTION OF COMPOSITE MATERIALS IN ADDITIVE MANUFACTURING

Grigoryants A.

摘要

The main possibilities of obtaining new composite materials are presented. Due to the high dynamics of thermal deformation processes in the molten bath of a thin layer of the grown part, we obtain a new material structure from immiscible components. Another direction of obtaining a new composite material in the growing process is the reinforcement of the matrix with high-strength elements, which can be present, including in the form of a solid phase under melting and crystallization of the material. This allows predicting in advance new qualitative properties of the grown part - increased strength, weight reduction, etc. Additive technology is being developed for growing parts and products made of tungsten, molybdenum, tantalum, niobium and other hard-melting metals that are poorly treated through mechanical methods. In this case, heating is used within growing process. The successful application of additive technologies is used in medicine in the manufacture of implants made of molybdenum, tantalum and their alloys, which have high biocompatibility and no toxic property. It becomes possible to manufacture an implant grown according to a specific model for a given individual. The main directions of the additive manufacturing development are the creation of more productive complexes and the expansion of construction materials powders range, used when forming new composite materials in the growing process.
Science intensive technologies in mechanical engineering. 2024;(9):42-48
pages 42-48 views

Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

1. Я (далее – «Пользователь» или «Субъект персональных данных»), осуществляя использование сайта https://journals.rcsi.science/ (далее – «Сайт»), подтверждая свою полную дееспособность даю согласие на обработку персональных данных с использованием средств автоматизации Оператору - федеральному государственному бюджетному учреждению «Российский центр научной информации» (РЦНИ), далее – «Оператор», расположенному по адресу: 119991, г. Москва, Ленинский просп., д.32А, со следующими условиями.

2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».