Reliability of quality forecast for hybrid metal-working machinery

International Conference on Innovations and Prospects of Development of Mining Machinery and Electrical Engineering 2018

矿业工程;电工学

Skeeba, V.Yu.^1 ; Ivancivsky, V.V.^1

Novosibirsk State Technical University, Prospect K. Marksa 20, Novosibirsk

630073, Russia^1

关键词: Forecast reliability;    Operating parameters;    Operational parameters;    Practical recommendation;    Process equipments;    Second derivatives;    Statistical modeling;    Working machinery;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/194/2/022037/pdf
DOI  :  10.1088/1755-1315/194/2/022037

来源: IOP

【 摘 要 】

The research considers the problem of quality prognostics in the conceptual design of process equipment. We propose the basic methodology of forecasting the operational parameters distributions for general-purpose cutting machines. Extreme local maxima of the basic functions second derivatives are suggested for selecting the optimum values of the machines' basic technical characteristics. We used the reliability of the quality forecast to evaluate its accuracy. The reliability is determined by the implementation of the corresponding estimates with the lowest uncertainty range at the selected probability value. The influence of initial operating parameters uncertainty on the forecast reliability was investigated by statistical modeling methods. We established the efficient application area of the proposed method depending on the degree of process equipment versatility. We suggest practical recommendations on providing forecast reliability of the basic specifications of integrated cutting machines.