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2 Mazurkiewicz D.

2 2002

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Analiza efektywności skrawania materiałów kruchych w układzie wieloostrzowym.

Mazurkiewicz D.

Zagadnienia Eksploatacji Maszyn

2002

Vol. 37, nr 1

147-159

Artykuł przedstawia wyniki prac dotyczących analizy efektywności skrawania materiałów kruchych pochodzenia naturalnego głowicami wieloostrzowymi. W pierwszej części dokonano przeglądu literaturowego w zakresie analizy ogólnego przypadku pracy układu typowych noży skrawających materiały kruche. Dokonano porównania dostępnej wiedzy z wynikami badań laboratoryjnych wpływu wybranych parametrów konstrukcyjnych układu wieloostrzowego na efektywność procesu skrawania.

The paper discusses some problems related to multi-pick cutting head design. It is well known that correct cutting heads geometrical design is one of the parameters having huge influence on the cutting process final results. During laboratory research we have proved that each cutting tool works in a set of cutters, whose total efficiency depends on adequate exploitation of their work results. The aim of investigations was to find relation between cutting tools positioning, their geometry and process efficiency. For the investigations some empirical and analytical models were used. It is well known that for the final result of natural brittle materials cutting process with the use of multi - pick heads, very important is not only their proper geometrical construction, but also correct geometry and other basic parameters of cutting tools. This is why determination of cutting tools and heads construction together with correct technological parameters is so neccessary for the final result of analysed cutting process. During rock materials cutting with the use of multi-pick heads, each tool of the set works in co-operation with another cutters. Accordingly, we mustn't analyse such a situation as the separate work of cutting tools that is normal in classical materials machining process analysis. In the case of multi-pick heads, each tool works in a set of cutters, whose total efficiency, depends on adequate exploitation of their group results. Therefore such factors as: cutters geometry and their positioning on the multi-pick head have an influence on cutting tools group work results. Parameters that characterize the set of cutting tools are: the number of cutting lines, i; spacing (distances) between the cutting lines (linear scale), t; angular cutting scale between the tools, to; number of cutters in each cutting line, m; diameter of the cutting head, D; and number of perpetual screws labes, ip. Cutting scales, cut depth and the number of tools in cutting lines are parameters that play a large role in natural brittle materials cutting process. They have an influence on both - cutting forces and elementary cutting energy values. Tools positioning on the multi-pick head empirical analysis, which results are presented in this paper was made on a laboratory test machine, with the use of special measuring instruments. The analysis was additionally supported with the use of Finite Element method and Artificial Neural Networks for different purposes. Final results and recommendations for cutting heads design were compared with similar theoretical and practical investigations results presented in references.

Sztuczne sieci neuronowe w analizie efektywności skrawania materiałów kruchych układami wieloostrzowymi

Mazurkiewicz D.

Eksploatacja i Niezawodność

2002

nr 1(13)

25-29

W artykule przedstawiono wyniki analizy danych laboratoryjnych uzyskanych w trakcie procesu skrawania materiałów kruchych głowicami wieloostrzowymi z wykorzystaniem sztucznych sieci neuronowych. Analiza dotyczy problemu efektywności procesu skrawania w zależności od geometrii wieloostrzowego układu skrawającego. Celem pracy było między innymi przetestowanie możliwości zastosowania sieci neuronowych w rozwiązywaniu problemów analizy procesu skrawania.

In the paper there are presented some analysis results of laboratory data recorded during natural brittle materials cutting process with the use of multi-pick cutting heads. Artificial neural networks were used as an analysis tool. The aim of the analysis was to get new information about cutting process efficiency depending on cutting tools set geometry, but also to test the possibility of neural networks applications in solving of cutting process problems.