Synthesis of methods and principles of ensuring the reliability of one-off and serial production machines

• Main Authors: Kasyanov, Valery, Deryushev, Viktor, Kosenko, Evgeny, Kosenko, Vera, Golubeva, Alina Y.
• Format: Conference Proceeding
• Language: English
• Subjects: Crack propagation; Fatigue failure; Fatigue limit; Lunar roving vehicles; Parameters; Reliability analysis; Rolling mills; Statistical analysis; Statistical methods; Synthesis
• ISSN: 2261-236X; 2274-7214; 2261-236X
• DOI: 10.1051/matecconf/201822402106

The paper considers the development of methods for managing the reliability of single-production machines (lunar rover, rover, rolling mill, president’s car of the country, etc.). Many years of experience in the field of machine reliability allowed the leading specialists of the department of AS and DS to develop a method for managing reliability for serial and mass machines. in the case of evaluating the reliability of single-production machines, development of algorithms based on sample data and data obtained during the transition from the sample to the set of values was carried out. The resource of the parts is defined as the main parameter, which, irrespective of their purpose, form the sampled samples of units of finite volume. Given that the main parameter of the details the resource depends on the strength and loading parameters, the correlation between the strength parameters and the acting stresses (endurance limit, active stress in the dangerous section, strength increase coefficients and the coefficient of increasing the acting voltage) is used in the studies. In such conditions, the estimated resource should relate to each entity of the population or a sample from it. During the research, a parameter is defined as the minimum resource that will determine the homogeneity of the sample (the aggregate), while the main condition for ensuring the same main parameters of parts with sudden failures is the Veler-Sørensen-Kogayev formula based on the experimental initial fatigue and loading statistics . Thus, a method has been developed to ensure the reliability of single-source machines, based on the synthesis of two methods and principles for serial and single-purpose machines.