हमारा समूह 1000 से अधिक वैज्ञानिक सोसायटी के सहयोग से हर साल संयुक्त राज्य अमेरिका, यूरोप और एशिया में 3000+ वैश्विक सम्मेलन श्रृंखला कार्यक्रम आयोजित करता है और 700+ ओपन एक्सेस जर्नल प्रकाशित करता है जिसमें 50000 से अधिक प्रतिष्ठित व्यक्तित्व, प्रतिष्ठित वैज्ञानिक संपादकीय बोर्ड के सदस्यों के रूप में शामिल होते हैं।
ओपन एक्सेस जर्नल्स को अधिक पाठक और उद्धरण मिल रहे हैं
700 जर्नल और 15,000,000 पाठक प्रत्येक जर्नल को 25,000+ पाठक मिल रहे हैं
Hernández Miguel, Juárez Carlos, Martínez Irma
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.