Machine lubrication systems are a very important portion of manufacturing and production workshop maintenance. Automatic lubrication systems eliminate the need for often-careless manual lubrication, providing a safer, more frequent and opportune monitored approach to machine lubrication. However, traditional automated lubrication systems have inherent environmental and technical-economic problems. With the goal of higher machining precision, cost effectiveness, greater reduction in oil consumption and more flexible performance, an automated lubrication control system is introduced in this research work. The new automated lubrication control system in CNC machine tool guideways is a novel approach in machining technology; failure detection/correction in the lubrication system may be identified by temperature signals from sensitive temperature sensors installed in the machine tool guideways, with the signals reflecting the friction, wear and loading conditions. Data collected via temperature sensors, data analysis, and preparation of commanding signals are performed by a Lubrication Control Unit (LCU). The LCU transmits signals to actuators to trigger oil injection by the oil pump. The display unit presents real-time measured temperature variations along with the pump’s operation state.
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The development of new lubrication methods in CNC machines carriages is a current requirement in the machining industry. Previously, lubrication systems of CNC machines have been improved only based on injection automation approaches. The paper is focused on lubrication mode on the linear guide ways of CNC machine. It investigates effects of oil injection time and amount of required lubricant for accurate and precise machining. Variations in environment temperature and moving conditions of carriages were concerned. Amount of oil injection is determined by Pump Response Interval (PRI), which was varied to optimize it. Smart Optimum Quantity Lubrication (SOQL) is applied to overcome unexpected changes in practical parameters during machining. The optimum oil consumption of SOQL was achieved when PRI = 15 s that resulted reduction of oil consumption up to 25%. This technique (SOQL) is a new method in lubrication technology and has an important role in solving current problems of CNC lubrication systems.
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This paper presents a software package LMSoft that automate the process of lubrication management of technical systems that is a part of the information system of preventive maintenance. Featured software package is the result of years of research by the field of information systems and the design of control systems in the process industry. The function of preventive maintenance is increasingly represented in a new form known as proactive maintenance processes where lubrication play a key role. Processes include lubrication and periodic quality control of lubricating oil, the results represent a significant technical support to the technical diagnostics. By automating management processes at the same time improving lubrication preventive maintenance and technical diagnostics.
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An evaluation on the behavior of friction in a CNC linear guideway under feed motor current signals for an effective lubrication process is duly presented in this paper. It was discovered that the variation of the coefficient of friction is usually a function of the current, although it has been recommended that the amount of indirect loading may be a significant factor in the friction process as well. Researchers are currently discussing ways to estimate the friction of guideways in CNC machines. Some of them utilized a tool dynamometer, while others used measured currents from the feed servo motor for this purpose. This work takes into account mathematical models. However, it is difficult to solve the frictional problem measurements in the control field. The evaluation of friction on linear guideways on the axes of a machine’s motion via the feed motor current was monitored in this paper. During the machining process, certain factors affect friction, such as the Cutting and Normal forces. These forces are in turn directly affected by properties such as cutting parameters, depth of cut, cutting feed rate and cutting speed. The experimental results indicated that the level of affect on friction will ultimately affect the variation of current in the feed servo motor.
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In today's era CNC machines have totally changed the face of the machining process, but a need for a better cooling system has always been sensed. Minimum Quality Lubrication (MQL) system has the potential to be the perfect cooling and lubricating system for Computer Numeric Control (CNC) machines by replacing the conventional wet type cooling and lubricating method. This paper talks in detail how MQL system can be implemented in Oil Hole Drilling Machine in Crankshaft production process and its advantages over the conventional wet type cooling and lubricating system.
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MATEC Web of Conferences 184, 03008 (2018) https://doi.org/10.1051/matecconf/201818403008 Annual Session of Scientific Papers IMT ORADEA 2018
Abstract. This approach is focused on Machine Intelligence for Diagnosis Automation, a research program, which promotes « preventative maintenance in manufacturing plants through the development of a fully automated prototype for oil analysis and fault prediction. The prototype is based on Artificial Intelligence (A.I.) software and online hardware ». Monitoring the condition of lubricants requires examining the physical, chemical and additive states, which maintain the quality of the lubricants, which is necessary for the proper functioning of the equipment. A lubricant monitoring program, especially from a qualitative point of view, will need to focus on both machine tool wear and degradation of lubricants, as well as on detecting and describing abnormal working conditions for both lubricants and machine parts. This goal can be satisfied by examining all the oils used in a company by completing laboratory tests to generate steps and acceptance classes, as well as unplanned contingency analyses. These laboratory tests can be concentrated and classified into technology-based data sheets based on test-based information and test results, ultimately constituting consistent databases needed to generate monitoring and prevention reports. Data on the condition of the oil parameters used in the hydraulic system for lubricating machine tools have been collected for six months. The data is a matrix organized, with 258648 rows (observations) and 21 columns (parameters).
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International Journal of Engineering Research and
