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EN
Purpose: This paper describes about intelligent machining system which is applied in a high speed machining robot with on-line monitoring and optimization for ball-end milling process. Design/methodology/approach: Manufacturing of 3D sculptured surfaces on high speed machining robot involves a number of machining parameters and tool geometries. The system collects machining data and cutting parameters which are necessary for genetic algorithm optimization. Findings: An intelligent machining system is developed for the simulation and testing on the PC machine. It is based on a main PC computer, which is connected to the high speed machining robot main processor so that control and communication can be realized. The system collects the variables of the cutting process by means of sensors which are optimized with the genetic algorithms. Research limitations/implications: 3D sculptured milling covers a wide range of operations. In 3D metal cutting processes, cutting conditions have an influence on reducing the production cost and time and deciding the quality of a final product. Practical implications: Simulated results show that the proposed intelligent machining system is effective and efficient, and can be integrated into a real-time intelligent manufacturing system for solving complex machining optimization problems. Originality/value: The paper describes about intelligent machining system which can applied in intelligent manufacturing process.
EN
Solid state reaction and evolution of phase composition by milling of Fe50Ge50 powder mixture using two types of mills - Fritsch P-5 and figh energy MAPF have been studied. X-ray diffraction, Moessbauer spectroscopy and differential scanning methods were used for analysis of milling products. In different mills the chemical interaction between Fe and Ge occured in different ways. Final mechanically alloyed phase was nanocrystalline FeGe (B20) however the process of FeGe formation was completed after 100 h MA in Fritsch and after 2 h MA in MAPF.
EN
Many nanocrystalline metallic materials were developed, applying various processing methods, including ball milling. Also nanocrystalline ferritic steels have been fabricated by this technique, allowing for the improvement of their mechanical properties. In this work, an attempt was made to obtain austenitic steel in the nanocrystalline state by applying the ball milling method. X-ray diffractometry (XRD), differential scanning calorimetry (DSC), scanning electron microscopy (SEM) and Moessbauer spectrometry were appplied as structure characterisation techniques. The ball milling of 316L austenitic steel powders resulted in the formation of strain induced martensite and finally, after 100 h of processing, two-phase structure of austenite (50%) and martensite (50%) was observed. The main mean crystallite size of both phases was of the range of 10-20 mm. Heating the milled samples up to 720 degrees C led to the decrease of the martensite contribution down to 8%.
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