A didactic computational tool for monitoring and control of arc welding processes-Teaching and research

2009 ◽  
Vol 20 (2) ◽  
pp. 239-246
Author(s):  
Régis Henrique Gonçalves e Silva ◽  
Jair Carlos Dutra ◽  
Guilherme Locatelli
Keyword(s):  
Arc Welding ◽  
Monitoring And Control ◽  
Computational Tool ◽  
Teaching And Research ◽  
And Control ◽  
Welding Processes

Infrared Sensing for On-Line Weld Geometry Monitoring and Control

1995 ◽  
Vol 117 (3) ◽  
pp. 323-330 ◽  
Author(s):  
P. Banerjee ◽  
S. Govardhan ◽  
H. C. Wikle ◽  
J. Y. Liu ◽  
B. A. Chin
Keyword(s):  
Plate Thickness ◽  
Welding Process ◽  
Temperature Gradients ◽  
Monitoring And Control ◽  
Depth Of Penetration ◽  
Bead Width ◽  
Weld Geometry ◽  
On Line ◽  
And Control ◽  
Welding Processes

This paper describes a method for on-line weld geometry monitoring and control using a single front-side infrared sensor. Variations in plate thickness, shielding gas composition and minor element content are known to cause weld geometry changes. These changes in the weld geometry can be distinctly detected from an analysis of temperature gradients computed from infrared data. Deviations in temperature gradients were used to control the bead width and depth of penetration during the welding process. The analytical techniques described in this paper have been used to control gas tungsten arc and gas metal arc welding processes.

scholarly journals IDENTIFICATION OF MATHEMATICAL MODEL OF WATER LINE IN HEAT EXCHANGERS

2020 ◽  
pp. 34619-34622
Keyword(s):  
Mathematical Model ◽  
Heat Exchanger ◽  
Data Collection ◽  
Heat Exchangers ◽  
Computational Simulation ◽  
Suitable Model ◽  
Monitoring And Control ◽  
Computational Tool ◽  
Water Line ◽  
And Control

Heat exchangers are widely used in industries for the use of thermal energy generated from different processes. For a definite use of this energy, the temperatures of the hot and cold fluids passing through the heat exchanger must be monitored and controlled efficiently. A suitable model of the heat exchanger is required for monitoring and control purposes. The objective of this work is to mathematically model a heat exchanger using a system identification method using a computational tool. The methodology used consists of data collection and simulation of models, as well as the analysis of comparison of the estimated models with the real system. The results show that the identification through computational simulation presented satisfactory results.

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