scholarly journals Optical Methods for On-line Quality Assurance of Welding Processes in Nuclear Steam Generators

10.5772/15579 ◽  
2011 ◽  
Author(s):  
Adolfo Cobo ◽  
Jesus Ma ◽  
David Solana ◽  
Alfonso Alvarez-de-Miranda ◽  
Pilar-Beatriz Garcia-Allende ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Optical Methods ◽  
Steam Generators ◽  
On Line ◽  
Welding Processes

scholarly journals 14C AMS at Suerc: Improving QA Data with the 5MV Tandem and 250KV SSAMS

Radiocarbon ◽  
2010 ◽  
Vol 52 (2) ◽  
pp. 263-271 ◽  
Author(s):  
P Naysmith ◽  
G T Cook ◽  
S P H T Freeman ◽  
E M Scott ◽  
R Anderson ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Sample Preparation ◽  
Mass Spectrometer ◽  
Random Access ◽  
Capacity Measurement ◽  
Tandem Accelerator ◽  
Standard Data ◽  
Accelerator Mass Spectrometer ◽  
On Line ◽  
Automated Data Acquisition

In 2003, a National Electrostatics Corporation (NEC) 5MV tandem accelerator mass spectrometer was installed at SUERC, providing the radiocarbon laboratory with 14C measurements to 4–5‰ repeatability. In 2007, a 250kV single-stage accelerator mass spectrometer (SSAMS) was added to provide additional 14C capability and is now the preferred system for 14C analysis. Changes to the technology and to our operations are evident in our copious quality assurance data: typically, we now use the 134-position MC-SNICS source, which is filled to capacity. Measurement of standards shows that spectrometer running without the complication of on-line δ13C evaluation is a good operational compromise. Currently, 3‰ 14C/13C measurements are routinely achieved for samples up to nearly 3 half-lives old by consistent sample preparation and an automated data acquisition algorithm with sample random access for measurement repeats. Background and known-age standard data are presented for the period 2003–2008 for the 5MV system and 2007–2008 for the SSAMS, to demonstrate the improvements in data quality.

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 Monitoring of the process of Flash-Butt Welding

2013 ◽  
Vol 18 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Yevgenia Chvertko ◽  
Mykola Shevchenko ◽  
Andriy Pirumov
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Statistical Methods ◽  
Welded Joints ◽  
Welding Parameter ◽  
Monitoring Systems ◽  
Butt Welding ◽  
On Line ◽  
Welding Processes

Statistical methods of analysis are currently widely used to develop control and monitoring systems for different welding processes. These methods allow to obtain information about the process including effect of all factors on its results, which is often difficult to evaluate due to the complexity of the process. The authors made efforts to apply these methods to develop the system for monitoring the parameters of flash-butt welding in real-time mode. The paper gives brief information about the features of flash-butt welding of reinforcement bars and some basic limitation of this process application. The main reasons of formation of defects in welded joints are given as well as analysis of possibility of application of monitoring systems for their determination. The on-line monitoring system based on neural networks was developed for evaluation of process deviations. This system is believed to be adequate for determination of process violations resulting in disturbances of welding parameter and can be used for prediction of possible defects in the welded joints.

Estimation of Weld Pool Sizes in GMA Welding Process Using Neural Networks

1993 ◽  
Vol 207 (1) ◽  
pp. 15-26 ◽  
Author(s):  
T G Lim ◽  
H S Cho
Keyword(s):  
Neural Network ◽  
Weld Pool ◽  
Gma Welding ◽  
Quality Monitoring ◽  
Design Parameters ◽  
Geometrical Parameters ◽  
The Neural Network ◽  
On Line ◽  
Welding Processes ◽  
Pool Sizes

In gas metal arc (GMA) welding processes, the geometrical shape and size of the weld pool are utilized to assess the integrity of the weld quality. Monitoring of these geometrical parameters for on-line process control as well as for on-line quality evaluation, however, is an extremely difficult problem. The paper describes the design of a neural network estimator to estimate weld pool sizes for on-line use in quality monitoring and control. The neural network estimator is designed to estimate the weld pool sizes from surface temperatures measured at various points on the top surface of the weldment. The main task of the neural network is to realize the mapping characteristics from the point temperatures to the weld pool sizes through training. The chosen design parameters of the neural network estimator, such as the number of hidden layers and the number of nodes in a layer, are based on an estimation error analysis. A series of bead-on-plate welding experiments were performed to assess the performance of the neural network estimator. The experimental results show that the proposed neural network estimator can estimate the weld pool sizes with satisfactory accuracy.

An intelligent fixture with a dynamic clamping scheme

2000 ◽  
Vol 214 (3) ◽  
pp. 183-196 ◽  
Author(s):  
A Y C Nee ◽  
A Senthil Kumar ◽  
Z J Tao
Keyword(s):  
Quality Assurance ◽  
Control Strategy ◽  
Sensory Feedback ◽  
Design Procedure ◽  
Integrated Approach ◽  
Fixture Design ◽  
On Line ◽  
Thin Walled ◽  
Set Up ◽  
Dynamic Clamps

Both proper fixture design and optimum fixturing execution are crucial to workpiece quality assurance in manufacturing. This paper deals with an integrated approach to fixturing problems and, in particular, a ‘live’ fixture with sensory feedback and on-line fixturing control strategy to perform an optimal fixturing operation. The framework of an integrated fixture design procedure is first presented. The functions and structure of an intelligent fixture are proposed. The prototype intelligent fixture with dynamic clamps capable of delivering accurate but varying clamping intensity is developed. This novel set-up has been proven to be effective for workpiece quality improvement and productivity enhancement through machining experiments on thin-walled workpieces.

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