Modeling and analysis of underwater wet weld process based on regression method

Bo Chen; Ji Cai Feng

doi:10.4028/www.scientific.net/AMR.690-693.2621

Modeling and analysis of underwater wet weld process based on regression method

Bo Chen
, Ji Cai Feng

Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Underwater weld technology is urgently needed for the widely development of marine recourses, and weld automation technology is the inevitable choice because of the underwater environment. Because of the influence of the rigorous environment, the weld seam forming of underwater wet welding is very poor. To control the weld seam forming automatically, the model between the weld parameters and the weld seam shape must be built. This paper used arc sensor to monitor the electrical information of underwater wet welding process, and regression method was used to model the process, and the factors that influence the weld seam forming mostly were analyzed.

Original language	English
Title of host publication	Materials Design, Processing and Applications
Pages	2621-2624
Number of pages	4
DOIs	https://doi.org/10.4028/www.scientific.net/AMR.690-693.2621
State	Published - 2013
Externally published	Yes
Event	4th International Conference on Manufacturing Science and Engineering, ICMSE 2013 - Dalian, China Duration: 30 Mar 2013 → 31 Mar 2013

Publication series

Name	Advanced Materials Research
Volume	690 693
ISSN (Print)	1022-6680

Conference

Conference	4th International Conference on Manufacturing Science and Engineering, ICMSE 2013
Country/Territory	China
City	Dalian
Period	30/03/13 → 31/03/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

Modeling
Regression method
Underwater wet welding

Access to Document

10.4028/www.scientific.net/AMR.690-693.2621

Cite this

@inproceedings{ed52e822bb2c4579b946ffbf2eb65eb7,

title = "Modeling and analysis of underwater wet weld process based on regression method",

abstract = "Underwater weld technology is urgently needed for the widely development of marine recourses, and weld automation technology is the inevitable choice because of the underwater environment. Because of the influence of the rigorous environment, the weld seam forming of underwater wet welding is very poor. To control the weld seam forming automatically, the model between the weld parameters and the weld seam shape must be built. This paper used arc sensor to monitor the electrical information of underwater wet welding process, and regression method was used to model the process, and the factors that influence the weld seam forming mostly were analyzed.",

keywords = "Modeling, Regression method, Underwater wet welding",

author = "Bo Chen and Feng, \{Ji Cai\}",

year = "2013",

doi = "10.4028/www.scientific.net/AMR.690-693.2621",

language = "英语",

isbn = "9783037856925",

series = "Advanced Materials Research",

pages = "2621--2624",

booktitle = "Materials Design, Processing and Applications",

note = "4th International Conference on Manufacturing Science and Engineering, ICMSE 2013 ; Conference date: 30-03-2013 Through 31-03-2013",

}

Chen, B & Feng, JC 2013, Modeling and analysis of underwater wet weld process based on regression method. in Materials Design, Processing and Applications. Advanced Materials Research, vol. 690 693, pp. 2621-2624, 4th International Conference on Manufacturing Science and Engineering, ICMSE 2013, Dalian, China, 30/03/13. https://doi.org/10.4028/www.scientific.net/AMR.690-693.2621

TY - GEN

T1 - Modeling and analysis of underwater wet weld process based on regression method

AU - Chen, Bo

AU - Feng, Ji Cai

PY - 2013

Y1 - 2013

N2 - Underwater weld technology is urgently needed for the widely development of marine recourses, and weld automation technology is the inevitable choice because of the underwater environment. Because of the influence of the rigorous environment, the weld seam forming of underwater wet welding is very poor. To control the weld seam forming automatically, the model between the weld parameters and the weld seam shape must be built. This paper used arc sensor to monitor the electrical information of underwater wet welding process, and regression method was used to model the process, and the factors that influence the weld seam forming mostly were analyzed.

AB - Underwater weld technology is urgently needed for the widely development of marine recourses, and weld automation technology is the inevitable choice because of the underwater environment. Because of the influence of the rigorous environment, the weld seam forming of underwater wet welding is very poor. To control the weld seam forming automatically, the model between the weld parameters and the weld seam shape must be built. This paper used arc sensor to monitor the electrical information of underwater wet welding process, and regression method was used to model the process, and the factors that influence the weld seam forming mostly were analyzed.

KW - Modeling

KW - Regression method

KW - Underwater wet welding

UR - https://www.scopus.com/pages/publications/84878665255

U2 - 10.4028/www.scientific.net/AMR.690-693.2621

DO - 10.4028/www.scientific.net/AMR.690-693.2621

M3 - 会议稿件

AN - SCOPUS:84878665255

SN - 9783037856925

T3 - Advanced Materials Research

SP - 2621

EP - 2624

BT - Materials Design, Processing and Applications

T2 - 4th International Conference on Manufacturing Science and Engineering, ICMSE 2013

Y2 - 30 March 2013 through 31 March 2013

ER -

Modeling and analysis of underwater wet weld process based on regression method

Abstract

Publication series

Conference

UN SDGs

Keywords

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