TOOLS FOR DEVELOPING MECHANICAL ENGINEERING PRODUCT DESIGN

Мұқаба

Дәйексөз келтіру

Толық мәтін

Аннотация

To enhance the competitiveness of domestic machinery mechanical engineering, to reduce excessive diversity in component parts and production components, as well as to address challenges related to digital transformation of production processes, new efficient business processes for product creation are required. Improving quality, technological sophistication, and operational efficiency of the parts depends on their design perfection. To solve design tasks, the author proposes three main tools namely coupling nodes, mobility matrices, and gaps between component parts of a product. Using these tools within the framework of group design methodology allows developing customized products with low costs per unit produced and will contribute to solving the task of digitizing business processes. Being the most general concepts that reflect what is inherent in any product, the proposed tools can help formalize the process of “inventing” a construction. The paper illustrates applying the proposed tools by an example of modernizing the design of a movable connection. In the original product, a moving part must be replaced with another type of structure. As a result of the project work, it is established that this requires introducing an additional component and designing its structure.

Авторлар туралы

Vladimir Tret'yakov

Kovrov State Technological Academy named after V.A. Degtyarev

Email: tretykov.kovrov@list.ru
SPIN-код: 6234-5271
Department of Ground Transportation and Technolog-ical Complexes, docent, doctor of technical sciences

Қосымша файлдар

Қосымша файлдар
Әрекет
1. JATS XML


Creative Commons License
Бұл мақала лицензия бойынша қолжетімді Creative Commons Attribution 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).