Segmentation and Statistical Processing of Geometric and Spatial Data on Self-Organized Surface Relief of Statically Deformed Aluminum Alloy; Applied Mechanics and Materials; Vol. 770 : Urgent Problems of Up-to-Date Mechanical Engineering

Segmentation and Statistical Processing of Geometric and Spatial Data on Self-Organized Surface Relief of Statically Deformed Aluminum Alloy

Bibliographic Details
Parent link:Applied Mechanics and Materials: Scientific Journal
Vol. 770 : Urgent Problems of Up-to-Date Mechanical Engineering.— 2015.— [P. 288-293]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт физики высоких технологий (ИФВТ) Кафедра материаловедения в машиностроении (ММС)
Other Authors: Lytvynenko I., Maruschak P., Lupenko S., Panin S. V. Sergey Viktorovich
Summary:Title screen
The methods of segmentation and statistical processing of the data on the relief formation on the self-organized surface of the statically deformed alloy D16chT are used. This allowed determining the signal parameters, segment structure and morphological peculiarities of self-organization as the data of the cyclic random process model. The mathematical methods are proposed, which allow increasing the accuracy, reliability and informative value of the profilometric data processing in diagnostic systems of control of the surface condition.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2015
Series:Materials Science in Mechanical Engineering
Subjects:
электронный ресурс
труды учёных ТПУ
циклические процессы
деформация
упорядоченные структуры
сегментация
Online Access:http://dx.doi.org/10.4028/www.scientific.net/AMM.770.288
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=643385

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