Virtual Reality Technology in Mining Machinery - Virtual Assembly, Virtual Planning and Virtual Monitoring (Hardcover, 1st ed. 2022)

This book focuses on the application of virtual reality (VR) technology in mining machinery. It gives a detailed introduction to the application of VR technology in virtual assembly, virtual planning, and virtual monitoring. Based on the theory of digital twin, VR technology and collaborative control technology are applied to coal mining machinery equipment, which lays a foundation for the digitalization and intellectualization of coal machinery equipment and broadens the application scope of virtual reality technology in the mechanical engineering field. Through the application of VR technology in coal machinery equipment, this book provides new methods and ideas for teaching activities, scientific research activities, and actual production with rich illustrations, related table introduction, unique research ideas, and other unique contents. This book could be a useful reference for researchers in mining machinery, simulation and modeling, computer-aided engineering (CAD and CAE) and design, visualization, mechanical engineering, and other disciplines.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	September 2021
First published:	2022
Authors:	Xuewen Wang • Jiacheng Xie • Suhua Li
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	264
Edition:	1st ed. 2022
ISBN-13:	978-981-16-4407-8
Categories:	Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Earth & environment > Earth sciences > Meteorology > General Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD) Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > Engines & power transmission > General Promotions
LSN:	981-16-4407-1
Barcode:	9789811644078

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