Improvement of Base Sets for Complex Configuration Parts when Assessing their Manufacturability within Industry 4.0
Berg A.S. Nurzhanova O.A. Turla V. Berg A.A. Vitushenko D.V.
2024Abylkas Saginov Karaganda Technical University
Material and Mechanical Engineering Technology
2024#2024Issue 225 - 35 pp.
Assessment of the manufacturability of products is carried out at the early stages of production preparation. The quality of this assessment significantly affects the efficiency of subsequent actions, including the development of technological processes and equipment operation. Currently, there is no accurate and complete description of the assessment methodology, which makes it dependent on the subjective experience of the technologist and prevents the creation of a formalized model. The purpose of this paper is to improve the quality of machining of complex configuration parts and the efficiency of manufacturing systems by developing new quantitative indicators of manufacturability. The paper presents a sequence of steps to create and calculate these indicators using the example of the part “Cover 2522-4202051”. This process includes the formation of graphs of interrelationships between the surfaces of the part, taking into account the design bases and requirements to their geometric characteristics. The obtained information is transformed and formalized in the form of a database, which serves as a basis for defining new quantitative indicators of manufacturability. The result is a set of new indicators that allow to evaluate the conformity of the part design to the possibilities of using a single base when designing its manufacturing process. The proposed indicators provide analysis of the use of rational technological bases in the manufacturing process of parts and complement the existing indicators, providing more complete information on the compliance of the part design with technological processing methods and the efficiency of manufacturing systems.
basing , basis set , dimensional analysis , graph , Industry 4.0 , production automation
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Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan
Vilnius Gediminas Technical University, Vilnius, Lithuania
Abylkas Saginov Karaganda Technical University
Vilnius Gediminas Technical University
10 лет помогаем публиковать статьи Международный издатель
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