Predicting the Technical State of a Turning Tool on the Basis of Phase-Chronometric Measurement Information

New methods are needed to be developed to improve the accuracy of equipment, due to the fact that requirements for the accuracy of products with complex configurations manufactured on CNC machines have increased and it is necessary to reduce metal consumption in their production. One of the ways is to purposefully influence the process of equipment development: designing a rational layout of the machine, choosing modern materials, precise manufacturing of components. The method is effective, but it is associated with high economic costs. Currently, mathematical and statistical methods of quality management at an industrial enterprise are becoming increasingly widespread. The possibility of forming a conclusion about the total set of manufactured products based on several observed in the sample is important for the continuation of the production process and compliance with the specified quality criteria. Statistical regulation of this characteristic is the current control over production and the prevention of defects by timely intervention in the technological process.

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“…Shachnev and I.I. Lobunina, who proposed in their works [4,5,6] the use of active control systems, relied on classical mathematical models. I.I.…”

Section: Main Partmentioning

confidence: 99%

Making amendments to CNC machines in order to improve manufacturing accuracy

Kiseleva

Barbashov

2022

J. Phys.: Conf. Ser.

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“…The industry has experimentally confirmed that vibration sensors increase the accuracy of measurements. The article [12] presents an interesting algorithm for predicting the state of machining tools during the processing of parts. The mathematical modeling problems are solved in [13] by constructing multifactorial mathematical models for turbine units.…”

Section: Introductionmentioning

confidence: 99%

Fault Detecting Accuracy of Mechanical Damages in Rolling Bearings

Kudelina

Baraškova²,

Shirokova³

et al. 2022

Machines

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Electrical machines are to face different challenging factors during operation, such as high unexpected or excessive loads, unusual properties of the working environment, or intense fluctuations in rotation speed. Therefore, maintenance questions and predicting the accuracy of an equipment’s condition have great importance. This study is based on the theory of vibration reliability. This article introduces the most common faults of bearings in electrical machines and discusses their diagnostic possibilities. Experimental setup, as well as studied bearing failures, are described. The accuracy of conducted experiments is introduced.

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