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Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering
72-89Views:87The optimization of manufacturing and production processes with various computer software is essential these days. Solutions on the market allow us to optimize and improve our manufacturing and production processes; one of the most popular software is called Tecnomatrix, which is described in this paper. Tool condition monitoring is a vital part of the manufacturing process in the industry. It requires continuous measurement of the wear of the cutting tool edges to improve the surface quality of the work piece and maintain productivity. Multiple methods are available for the determination of the actual condition of the cutting tool. Vibration diagnostics and acoustic methods are included in this paper. These methods are simple, it requires only high sensitive sensors, microphones, and data acquisition unit to gather the vibration signal and make signal improvement. Extended Taylor equation is applied for tool edge wear ratio. Labview and Matlab software are applied for the measurement and the digital signal processing. Machine learning method with artificial neural network is for the detection and prediction of the edge wear to estimate the remaining useful lifetime (RUL) of the tool.
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Defect Analysis of Bearings with Vibration Monitoring and Optical Methods
1-12Views:147Diagnosis of bearings with advanced methods gained remarkable roles in the previous years. This article focuses on the manufacturing defects and methods to reveal and classify them. During manufacturing several faults could emerge because of the grinding operation, tool wear and chatter vibration. Inproper handling of the bearing parts because of the collosion to each other and the storing box that causes deformation. To reveal these problems several methods are applied in industry. For deeper surface analysis nitric acid can be used to initate the finished surface of the roller then natrium-carbonate that nautralize the elements. Vibration analysis in its standard Fourier form is not a new achivement but other mathematical tools could be applied to condition monitoring such as wavelet transform. It is an efficient tool for analyzing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults on the bearing elements. In this article five different wavelets, Daubechies, Gaussian, Coiflet, Mexican hat, Meyer are compared according to the Energy to Shannon Entropy ratio criteria to reveal their efficiency for fault detection.
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„Forradalmi” változások a menedzsment területén
1-15Views:138Development of the Science and practical application of the results created big changes in the nontradicional areas too. The „Health industry” was developed. The results of the physics, chemistry, biology and mikroelektronics etc. helped to develop some new methods of diagnosis, operation etc. The „money industry” was developed too. Our opinion is, that the most important cause of the economic crisis is a non regulated well of the „money industry”. The „knowledge industry” was developed too. The „knowledge industry” contains all level of teaching and Research + Development + Innovation. Our analyze shows that the Innovation is the most important factor of the economic Development of Society. The new scientific results created big changes in area of the Management. The „Management Science” was developed as an independent area. Some management specialists developed some management methods (eg. Value Analysis, Risk Management, TRIZ, Lean methods etc.) for efficient allocation of sources.
