Diagnostic features of relief formations on the nanostructured titanium VT1-0 surface after laser shock-wave treatment; IOP Conference Series: Materials Science and Engineering; Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016)

ग्रंथसूची विवरण
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016).— 2017.— [012084, 6 p.]
निगमित लेखक: Национальный исследовательский Томский политехнический университет (ТПУ) Институт физики высоких технологий (ИФВТ) Кафедра материаловедения в машиностроении (ММС)
अन्य लेखक: Lytvynenko I. V., Lupenko S. А., Maruschak P. О., Panin S. V. Sergey Viktorovich, Hats
सारांश:Title screen
A new class of diagnostic features for conducting morphological analysis of relief formations induced by laser shock-wave treatment on the surface of the nanostructured titanium VT1-0 alloy is proposed. They are the coefficients of series expansions of statistical estimates for the orthogonal basis of Chebyshev, Laguerre, Kravchuk discrete polynomials and trigonometric functions. Based on the criterion of the minimum number of the diagnostic features in the above-mentioned bases, the Chebyshev one was selected as the most appropriate to solve this problem.
भाषा:अंग्रेज़ी
प्रकाशित: 2017
श्रृंखला:Numerical simulation of applied problems
विषय:
ऑनलाइन पहुंच:http://dx.doi.org/10.1088/1757-899X/177/1/012084
http://earchive.tpu.ru/handle/11683/37863
स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654070

MARC

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330 |a A new class of diagnostic features for conducting morphological analysis of relief formations induced by laser shock-wave treatment on the surface of the nanostructured titanium VT1-0 alloy is proposed. They are the coefficients of series expansions of statistical estimates for the orthogonal basis of Chebyshev, Laguerre, Kravchuk discrete polynomials and trigonometric functions. Based on the criterion of the minimum number of the diagnostic features in the above-mentioned bases, the Chebyshev one was selected as the most appropriate to solve this problem. 
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