Parametric Reliability Assurance for Machine-Tools

Anikeeva, Olesya; Ivakhnenko, A. G.; Zhirkov, Aleksandr

doi:10.1016/j.proeng.2016.07.092

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…The wear and tear processes start from discrete contact with the hard surface [8][9][10]. Elastic and plastic resistance in materials, microcutting, the destruction of layers and base material are basic types of such imperfections.…”

Section: Fig 1 Diagram Of Mutual Connections Of Input and Output Facmentioning

confidence: 99%

Quality Assurance of Machine Repair in Production Plants

Trzepieciński

Jaworski

2017

Acta Metall Slovaca

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<p>The paper considers the problem of the assurance of the quality of machine repair in production plants. The primary quality repair index has been described analytically with the help of the arithmetic matrix in which the relationship between the production capacity and the structural and organizational factors of the quality of repair is taken into account. Ratios of input variables and the output relationship with the primary factors of the quality of machine repair were determined using matrix equations that reflect the relationship between design, process and organizational factors, and the basic quality ratios. It has been concluded that the quality of machine repair depends on proper diagnosis, the wear and tear of individual connections of elements, and the technological processes leading to the restoration of the damaged parts and reassembling the machine.</p>

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Section: Fig 1 Diagram Of Mutual Connections Of Input and Output Facmentioning

confidence: 99%

Quality Assurance of Machine Repair in Production Plants

Trzepieciński

Jaworski

2017

Acta Metall Slovaca

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“…They built reliability and sensitivity models to improve the machining accuracy and reliability of machine tools. Anikeevaet al (15) developed a decision-making technology for evaluating the reliability and machining quality of machine tools. They reduced the difference in accuracy between machine tools by identifying the relationship between the accuracy parameters of the machined parts and those of a machine tool.…”

Section: Introductionmentioning

confidence: 99%

Application of Reliability and Quality Methods to Improving Mean Time Between Failures of Machine Tool Cooling System

Chen,

2023

Sensors and Materials

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The thermal error of a machine tool can be regarded as an important index of machining accuracy. Such an error is reproducible and stable, meaning that machine tools can be easily maintained by thermal compensation, ensuring a long-term good machining quality. In this study, reliability engineering was applied to increase the mean time between failures (MTBF) of a cooling system to maintain the structure temperature and accuracy, and the MTBF was increased from 3787 h to more than 23041 h. In addition, the Taguchi method was used with the finite element method and multivariate regression analysis to obtain the optimal cooling conditions to reduce thermal deformation and stabilize the structure temperature. The variation of the temperature of the machine tool structure was improved from ±0.517 to ±0.367 ℃, a reduction of 29%.

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