Masters Theses
Abstract
"The common modeling of a virtual machine is using an information model to describe the physics of machines. The integration of digital twins into productive cyber-physical cloud manufacturing (CPCM) systems imposes strict requirements such as reducing overhead and saving resources for the systems. In this paper, we investigate a new method for building cloud-based digital twins (CBDT), which can be adapted to the CPCM platform. Our method helps reduce computing resources in the processing center and guarantees the fastest speed of the interactions between the human users and physical machines. We introduce a knowledge resource center (KRC) built on a cloud server for information intensive applications. An information model for one type of 3D printers is designed and integrated into the core of the KRC as a shared resource. Several experiments and results are provided to show the performance of the CBDT compared to traditional methods"--Abstract, page iii.
Advisor(s)
Leu, M. C. (Ming-Chuan)
Committee Member(s)
Liou, Frank W.
Chandrashekhara, K.
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Mechanical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2017
Pagination
vii, 33 pages
Note about bibliography
Includes bibliographical references (pages 29-32)
Rights
© 2017 Liwen Hu, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 11223
Electronic OCLC #
1021857602
Recommended Citation
Hu, Liwen, "Cyber-physical manufacturing cloud: An efficient method of building digital twin for 3D printer by adapting MTConnect protocol" (2017). Masters Theses. 7717.
https://scholarsmine.mst.edu/masters_theses/7717
