Electrical Energy Analysis Consumption of a CNC Lathe Machine Using Mobile Average Filter
Received Date: Nov 03, 2019 / Accepted Date: Mar 16, 2020 / Published Date: Mar 23, 2020
Abstract
The importance of the consumption of electric energy is substantial for any activity, in the manufacturing process excessive consumption of electrical energy has been identified and in the profitable industry the income should not exceed the expenses. Data acquisition and monitoring of manufacturing process in machine tools with CNC is common in the industry, a feature problematic with measurements is all real energy signals contain noise. The interest of the study is aimed at identifying the energy consumption of a CNC lathe machine using numerical tools.
The industry is interested in doing innovative things, in outdoing their competitors and very often uses the numeric tools for solutions problems of energy saving. The energy consumption of a CNC machine cutting is largely determined by the tool condition, in this work, the electrical energy consumed by a CNC machine is measured using mobile average filter.
In conventional energy measurements of a CNC there are some undesirable signal noises that can modify the result. The aim of this paper is to analyze, study and filter the pure signal energy consumption of the CNC machine cutting tool for a machining routine of a three-axial CNC milling machine using classic mobile average filter. The proposed methodology can be used for tool life analysis, choose a viable cooling and machine speed control.
Keywords: Electrical analysis consumption; Electrical noise; Mobile average filter; Maquine; Energy
Citation: Miguel H, Carlos J, Irma M (2020) Electrical Energy Analysis Consumption of a CNC Lathe Machine Using Mobile Average Filter. Innov Ener Res 9: 235 Doi: 10.4172/2576-1463.1000235
Copyright: © 2020 Miguel H, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
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