Key technologies of intelligentized welding manufacturing : the spectral diagnosis technology for pulsed gas tungsten arc welding of aluminum alloys / Yiming Huang, Shanben Chen.
Yiming Huang.; Chen, Shanben.
2020
TK4660 .Y56 2020
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Key technologies of intelligentized welding manufacturing : the spectral diagnosis technology for pulsed gas tungsten arc welding of aluminum alloys / Yiming Huang, Shanben Chen.
Author
Yiming Huang.
ISBN
9789811375491 (electronic book)
9811375496 (electronic book)
9811375488
9789811375484
Published
Singapore : Springer, [2020]
Language
English
Description
1 online resource
Call Number
TK4660 .Y56 2020
Dewey Decimal Classification
671.5212
Summary
This book presents the recent research results of the application of arc spectrum in the welding process. It sheds light on the fundamentals of monitoring welding quality using arc spectral information. By analyzing the topic both from a global and local perspective, it establishes a knowledge base of features characterizing welding statuses. Researchers, scientists and engineers in the field of intelligent welding can benefit from the book. As such, this book provides valuable knowledge, useful methods, and practical algorithms that are applicable in real-time detection of welding defects.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from digital title page (viewed on June 18, 2019).
Added Author
Chen, Shanben.
Available in Other Form
Key technologies of intelligentized welding manufacturing.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Introduction
Monitoring principle of welding process based on arc emission spectrum
Experimental setup made of welding and spectral acquisition subsystems
Prediction of welding status based on features extracted from the whole arc spectrum
Prediction of welding status based on features extracted from spectral lines of interest
The control of welding quality based on spectral features
Summary and conclusions.

Browse Subjects

Show more subjects...

Statistics

from
to
Export