Wyniki wyszukiwania - BazTech

1

Obrotowy miernik temperatury skrawania

Jemielniak K.

Mechanik

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2018

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R. 91, nr 3

192

PL

Pomiary temperatury ostrza skrawającego podczas wiercenia są szczególnie skomplikowane z uwagi na obracające się narzędzie i słabą dostępność ostrza. Nowym urządzeniem – RTT (Rotary Tool Temperature) – można mierzyć temperaturę blisko krawędzi skrawającej. Jego ważną zaletą jest łatwość integracji z obrotowym siłomierzem do wiercenia i frezowania.

2

Wpływ wybranych parametrów procesu docierania na temperaturę narzędzia

Molenda J.

Zeszyty Naukowe Akademii Morskiej w Gdyni

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2011

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nr 71

102-108

PL

Docieranie stanowi jeden ze sposobów bardzo dokładnej obróbki materiałów. Znajduje szerokie zastosowanie w różnych gałęziach przemysłu, zwłaszcza precyzyjnego. W obróbce tej wykorzystuje się luźne ścierniwo. Na uzyskanie odpowiedniego stopnia jakości (chropowatości, gładkości) obrabianej powierzchni wpływa wiele czynników składających się na złożony opis teoretyczny procesu. Szczególnie dotyczy to materiałów dotychczas nieobrabianych (ceramika, materiały półprzewodnikowe itp.), dlatego decydującą rolę odgrywa tu doświadczenie, wiedza i umiejętności operatora obrabiarki lub technologa. W artykule przedstawiono wstępne wyniki badań procesu docierania elementów ze stali normalizowanej, wyrażone w funkcji zmian temperatury narzędzia zależnej od czasu pracy urządzenia dla stałej prędkości docieraka i przy stałym nacisku powierzchniowym.

EN

Lapping is one of the precision finishing processes and it is used in many different industries, especially in precision engineering industries. This is a method with loose abrasive grains which results are influenced by numerous factors. This causes the lack of a systematic understanding of the process, finetuning or developing processes for a new product has always been an empirical process with success dependent upon the skill of the machine operator or engineer. This paper presents results of lapping process analysis in range of tool temperature and preliminary research result which allow for not taking into consideration during next analysis the machine working time.

3

Tool technology to reduce cutting heat generation and its influences

Soe Y. H., Tanabe I., Iyama T., Hoang T. B.

Journal of Machine Engineering

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2010

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Vol. 10, No. 3

5--16

EN

Recently, the use of hard materials has increased for product quality and safety reasons. Consequently, the cutting conditions for these materials become severe resulting in shorter tool life due to higher cutting temperature. In this paper, tool technology to reduce heat generation and its influences during cutting is investigated and evaluated experimentally. The approach for reducing cutting heat generation is considered by changing the tool geometry and reducing the frictiona coefficient between tool and chip. The approach for reducing influence of the generated heat is application of a therma insulator (coating) on the tool material having high thermal conductivity and heat-resistance. The turning process is used in the experiments. The thermal influences are made clear by each experimental parameter and then, the optimum tool parameters were considered from experimental results. It is concluded that; (1) When rake angle was 15 degree, temperature rise on the tool was smallest. (2) Temperature rise on the tools coated with TiAlN or DLC (Diamond Like Carbon) were reduced from 20 % to 30 %. (3) Several tool materials were quantitatively evaluated by consideration of the thermal conductivity, as well as thermal dependency of their hardness.

4

Control of tool temperature using neural network for machining materials with low thermal conductivity

Soe Y. H., Tanabe I., Iyama T., Abe Y.

Journal of Machine Engineering

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2010

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Vol. 10, No. 3

78--89

EN

Recently titanium and nickel alloys have become pre-eminent for aeronautic and astronautic parts. Since these cutting and becomes severely demaged. It is important to control cutting tool temperature. In this paper,the control system of tool tip temperature using inverse analysis of neural network for machining these materials was developed and evaluated. The neural network between cutting conditions and tool temperature was firstly created by a set of teaching data. Then, a mathematical model using algebra was developed. Cutting speed was selected as parameter to be controlled in reducing tool temperature. The relationship between the optimum cutting speed and cutting time was calculated with the inverse analysis of neural network by pre-reading of NC program before cutting. The tool temperature can be maintained at the desired value. The developed system is evaluated by the expaeriments using the turning process and workpiece of Ti6Al4V. From the results, it is concluded that; (1) Tool tip temperature can be controlled by using the proposed inverse analysis of the neural network, (2) CThe cutting tool life can be maintained by this method, for cutting materials with low thermal conductivity.