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1
Content available remote Effects of selected cutting parameters on surface roughness in side milling
EN
The aim of this contribution is an analysis of the influence of selected cutting parameters on resulted surface integrity of aluminium alloy machined by side milling. The observations and conclusions are mainly concentrated on the effect of depth of cut and cutting speed with a set of constant parameters, such as feed rate, workpiece material and the tool. The experiments were carried out by two methods of milling: the down-milling and up-milling. The resulted values were compared. This knowledge can help in further optimization of cutting parameters in the side milling of aluminium alloys.
PL
Celem tego artykułu była analiza wpływu wybranych parametrów skrawania na stan warstwy wierzchniej podczas frezowania obwodowego stopów aluminium. Poczynione obserwacje i wyciągnięte wnioski dotyczą głębokości i prędkości skrawania przy stałych parametrach posuwu i niezmienionym materiale obrabianym i narzędzia. W badaniach wykorzystano dwie metody frezowania: współbieżne i przeciwbieżne, a następnie porównano ich rezultaty. Wyniki tych badań mają posłużyć w przyszłości do optymalizacji parametrów frezowania obwodowego stopów aluminium.
2
Content available remote The optimal cutting parameter design of rough cutting process in side milling
EN
Purpose: This paper is focused on the optimal cutting parameters design of rough cutting processes in side milling for SKD61 tool steels. Design/methodology/approach: The fuzzy logics can be a proper basis to perform the optimization procedure with complicated multiple performance characteristics in this paper. Using this approach combined with the grey-relational analysis, the design algorithm is transformed into optimization of a single and simple grey-fuzzy reasoning grade rather than multiple performance characteristics. The Taguch method is also adopted to search for an optimal combination of cutting parameters for this rough cutting process in side milling. Findings: The improvement of tool life and metal removal rate from the initial cutting parameters to the optimal cutting parameters are 54% and 9.7%. Hence, this reveals that the proposed approach in this study can effectively improve the cutting performance. Research limitations/implications: In this paper only four cutting parameters are taken into consideration. Many other parameters such as tool geometric shape are not applied to this study. Practical implications: It is believed that this optimal result can be applied to practical processes to effectively reduce manufacturing cost and greatly enhance manufacturing efficiency. Originality/value: A systematic and effective optimization method is presented in this paper. Using this method can effectively acquire an optimal combination of the cutting parameters.
EN
A numerical model was developed in order to predict the surface roughness before machining the part. This model is based on the geometric tool-part intersection and allows defining the surface topography of the part as a function of the feed and of the radii of the tool edges. In this first study the problem of runout, i.e. differences between the radii of the different tool edges, is analyzed. The computational model allows determining the value of the average roughness (Ra) and the maximum roughness height (peak-to-valley) (Rt) along a line, in the direction of the feed, for a family of tools defined by an average radius of the edge and its standard deviation, assuming a normal behaviour. It was observed that the obtained values of average roughness Ra do not follow a normal distribution even though the values of the radii were randomly taken according to a normal law. A graphic was also obtained with the maximum and minimum value of average roughness Ra for each value of feed per tooth and per turn fz.
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