Open AccessMore Energy-Efficient Turning
Publication year - 2021
Publication title -
vestnik ûžno-uralʹskogo gosudarstvennogo universiteta. seriâ ènergetika/vestnik ûžno-uralʹskogo gosudarstvennogo universiteta. seriâ, ènergetika
Language(s) - English
Resource type - Journals
eISSN - 2409-1057
pISSN - 1990-8512
DOI - 10.14529/power210106
Subject(s) - machining , process (computing) , power (physics) , grid , energy (signal processing) , machine tool , software , computer science , electricity , engineering , efficient energy use , automotive engineering , mechanical engineering , electrical engineering , operating system , statistics , physics , geometry , mathematics , quantum mechanics
This study is a search for more energy-efficient turning enabled by optimal utilization of the machining facility’s power grid. To that end, the authors have (i) modeled the machining facility on the principles of object-oriented design; (ii) tested the model for adequacy in real-world applications; (iii) devised an approach to implementing specific processes and related design solutions for more energy-efficient machining. Cluster analysis shows that a typical turning line used in small-batch manufacturing may contain up to 20 machines with the following power distribution: 7 0.75-kW machines, 4 1.5-kW machines, 3 2.2-kW machines, 1 3-kW machine, 1 4-kW machine, 1 5.5-kW machine, 1 7.5-kW machine, and 2 11-kW machines. This configuration enables the most power-efficient turning process. The batch for turning should be distributed by the maximum power factor using the object model for the application as well as the author-developed NET-based software. In this approach, all the machines serve as cluster centers that the machined parts are grouped around to make the turning process more energy-efficient by reducing the in-grid electricity loss.