This paper deals with new possibilities in aluminium alloys grinding. Presently the aluminium alloys have forceful usage in engineering. The using of aluminium alloys we can find in general engineering, automotive industry, cosmonautics, aeronautics and medicine. Wide possibilities of the aluminium alloys using is very important area for production technology too. The traditional process of aluminium alloys is e. g. forming, pressing. In cutting operation is it especially turning and milling operations. Grinding like finishing method of machining is not so used for aluminium alloys machining. This method not doing optimal results in touch with these materials of machined surface quality. This paper shows new ways and possibilities in aluminium alloys grinding.
This paper deals with grinding of the automotive parts and surface quality after grinding. This paper describes results from the experiment with grinding of materials EN ISO 100Cr6 and EN ISO C55E used in automotive industry like materials of the machine parts. This experiment shows possibilities with grinding of this materials and the influence of the ground process parameters during grinding e.g. normal and tangential force, cutting fluids and feed. Together with this experiment is evaluated also the surface quality of machined parts. The evaluated parameters of surface quality were choice roughness and geometrical accuracy -roundness.
Machinability of materials is evaluated by different criteria. The basic evaluative criteria are based on tool wear. However, there are other criteria, for instance chip formation, cutting temperature, forces of cutting, etc. Machinability for different criteria depends on many factors, of which the most important is the chemical composition of the material. It is possible to divide machinability tests into two groups: Long-term tests and short-term tests. Short-term machinability tests are less objective than long-term ones, but they have the advantage of short duration and lower material consumption. This paper is focused on the experimental determination of the effect of chemical composition on the machinability of aluminium alloys. For testing three different short-term tests were used. The results were evaluated by correlation coefficients. All used tests led to the same results.
In evaluating larger number of measurement data, it is proper to analyze them statistically. It is important to determine the effect of measured data number on the experiment results. This paper is focused on the determination of the effect of the basic file size (data obtained in the experiment) on the final measurement results. In milling the cutting inserts of sintered carbide (SC) were used. The same cutting conditions (depth of cut, feed, cutting speed) and were used. The cutting inserts wear was measured after the same cutting time. At the beginning of experiment 120 measured data (edges) were used. Number of measured data was gradually increased (to 240, 360, 480, 600, 720, 840, 960 and 1080). Totally 9 basic files was obtained. In the conclusion of the paper lists of all results are presented together, with their mutual comparison and prediction of the possible development of tool wear at higher number of cutting edges.
In this paper the effect of factors entering into the optimisation of cutting conditions and affecting production costs in turning is analysed. Optimisation of cutting conditions affects every manufacturing company in the field of machining, and represents an important area of the economy these enterprises. The aim of the research was to determine the size of the influence of input factors on the results of the calculation of the optimisation of cutting conditions using inserts in turning. Each constant is moving at a definite recommended range of values depending on various conditions. If we find out what the most important input factors most affecting the calculation of the optimisation of cutting conditions, we are able to focus primarily on the following factors. Influences of selected factors on costs are presented in graphs showing their interdependence. The influences of the input factors received from overall analysis were categorized by importance and created a list containing three groups significance of individual factors. According to the created groups a company can more easily focus on the parameters that most affecting the cost of turning, thereby improving the selection of specific technical, economic or time values in the company.
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