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Wyszukujesz frazę "Iyama, T." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Tool technology to reduce cutting heat generation and its influences
Autorzy:
Soe, Y. H.
Tanabe, I.
Iyama, T.
Hoang, T. B.
Powiązania:
https://bibliotekanauki.pl/articles/99936.pdf
Data publikacji:
2010
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
tool temperature
tool life
tool material heat generation
frictional coefficient
Opis:
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.
Źródło:
Journal of Machine Engineering; 2010, 10, 3; 5-16
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control of tool temperature using neural network for machining materials with low thermal conductivity
Autorzy:
Soe, Y. H.
Tanabe, I.
Iyama, T.
Abe, Y.
Powiązania:
https://bibliotekanauki.pl/articles/99454.pdf
Data publikacji:
2010
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
titanium alloy
nickel alloy
neural network
tool
tool temperature
Opis:
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.
Źródło:
Journal of Machine Engineering; 2010, 10, 3; 78-89
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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