Wszystkie pola: Abe, H. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Depth-Resolved XMCD Study of Ultrathin Mo/Co/Au Films
Autorzy:: Sakamaki, M.
Abe, H.
Powiązania:: https://bibliotekanauki.pl/articles/1810551.pdf
Data publikacji:: 2009-01
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 75.30.Gw
75.70.Cn
78.70.Dm
Opis:: The effect of Mo overlayer on the magnetism of ultrathin Co films grown on Au(111) was studied. The structure and magnetism at the Mo/Co interface were studied by means of depth-resolved X-ray magnetic circular dichroism. The magnetic moment of Co near the Mo/Co interface was reduced in comparison to the inner part of the film for the samples which have in-plane anisotropy. This effect is more prominent in the case of Mo overlayer with higher roughness, and can be attributed to Co-Mo intermixing at the interface.
Źródło:: Acta Physica Polonica A; 2009, 115, 1; 309-311
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

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

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