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Modelling in Engineering 2020: Applied Mechanics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modelling in Engineering 2020: Applied Mechanics/ edited by Arkadiusz Mężyk, Sławomir Kciuk, Roman Szewczyk, Sławomir Duda.
other author:	Mężyk, Arkadiusz.
Description:	IX, 289 p. 243 illus., 202 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering—Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-68455-6
ISBN:	9783030684556

Modelling in Engineering 2020: Applied Mechanics
Modelling in Engineering 2020: Applied Mechanics[electronic resource] /edited by Arkadiusz Mężyk, Sławomir Kciuk, Roman Szewczyk, Sławomir Duda. - 1st ed. 2021. - IX, 289 p. 243 illus., 202 illus. in color.online resource. - Advances in Intelligent Systems and Computing,13362194-5365 ;. - Advances in Intelligent Systems and Computing,335.

This book includes the outcomes of the 59th Symposium “Modelowanie w Mechanice” (Engineering Modelling in Mechanics) held in Ustroń from 22 February to 26 February 2020. The International Conference has an over 58-year-old history and is organized by the Department of Theoretical and Applied Mechanics of Silesian University of Technology under the patronage of the Polish Society of Theoretical and Applied Mechanics, Gliwice Branch. Subjects of the conference are modelling of mechatronic systems, machinery dynamics, control systems, sensitivity analysis and optimization, numerical modelling and experimental methods in mechanics, biomechanics, heat flow analysis, fluid mechanics, etc. The papers are dealing with interdisciplinary problems in which mechanical phenomena are of decisive importance. The potential reader of this book will find their set of papers concentrated on the use of computer-aided design, virtual modelling, numerical simulations, fast prototyping and experimental tests of mechanical systems. It is an area of versatile and interdisciplinary research trends with one of the mainstreams focusing on applied mechanics.

ISBN: 9783030684556

Standard No.: 10.1007/978-3-030-68455-6doiSubjects--Topical Terms:

1297966
Engineering—Data processing.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

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