Open AccessParametric optimization of hybrid metalworking machinery quality
Author(s) -
Vadim Skeeba
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/378/1/012030
Subject(s) - metalworking , prognostics , process (computing) , quality (philosophy) , parametric statistics , computer science , manufacturing engineering , reliability engineering , engineering , industrial engineering , mechanical engineering , mathematics , philosophy , statistics , epistemology , operating system
The research considers the problem of quality prognostics in the conceptual design of process equipment. We outline the fundamentals of the methodology for predicting the operational parameters distribution of hybrid metalworking machines. We demonstrate that only joint estimation of the spatial, temporal and energy characteristics of the process equipment facilitates achieving the maximum values of the machines integral quality indicators. The developed method of forming the structure of parameter series is recommended to use not only for creating new integrated equipment, but also for completing a base of metalworking machines using the existing enterprise stock.