A survey of flaws near welds detected by side angle ultrasound examination of anhydrous ammonia nurse tanks

Russell, Alan M.; Becker, A.T.; Chumbley, L.S.; Enyart, D.A.; Bowersox, B.L.; Hanigan, T.W.; Labbe, Jean-Philippe; Moran, Jamie; Spicher, E.L.; Zhong, Liu

doi:10.1016/j.jlp.2016.05.025

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the set of parameters in the extracted features is sufficient to describe a weld groove section uniquely, then the process of feature extraction can also be referred to as weld groove parametrization. Typical sensor technologies are ultrasound sensors [ 1 ], infrared sensors [ 2 ], arc-sensing [ 3 ], magneto-optical sensors [ 4 ], and computer vision sensors [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces

Cibicik

Tingelstad

Egeland

2021

Sensors

View full text Add to dashboard Cite

This paper presents a novel weld groove parametrization algorithm, which is developed specifically for weld grooves in typical stub and butt joints between large tubular elements. The procedure is based on random sample consensus (RANSAC) with additionally proposed correction steps, including a corner correction step for grooves with narrow root weld, and an iterative error elimination step for improving the initially obtained data fit. The problem of curved groove sides (due to the pipe geometry) is attributed and solved. In addition, the procedure detects and eliminates several types of data noise due to laser line reflections. The performance of the procedure is studied experimentally using small-scale test objects, which have been ground using typical industrial power tools to achieve a realistic level of reflections. The execution times and data fit errors of the proposed procedure are compared to a procedure based on a more conventional RANSAC approach for line segment detection.

show abstract

Section: Introductionmentioning

confidence: 99%

Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces

Cibicik

Tingelstad

Egeland

2021

Sensors

View full text Add to dashboard Cite

show abstract

Advances techniques of the structured light sensing in intelligent welding robots: a review

Yang

Liu

Peng

2020

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Robotic weld groove scanning for large tubular T-joints using a line laser sensor

Cibicik

Njaastad

Tingelstad

et al. 2022

Int J Adv Manuf Technol

View full text Add to dashboard Cite

This paper presents a novel procedure for robotic scanning of weld grooves in large tubular T-joints. The procedure is designed to record the discrete weld groove scans using a commercially available line laser scanner which is attached to the robot end-effector. The advantage of the proposed algorithm is that it does not require any prior knowledge of the joint interface geometry, while only two initial scanning positions have to be specified. The position and orientation of the following scan are calculated using the data from two previous weld groove scans, so once initiated, the scanning process is fully autonomous. The procedure is a two-step algorithm consisting of the prediction and correction substeps, where the position and orientation of the sensor for the following scan are predicted and corrected. Such a procedure does not require frequent weld groove scanning for navigation along the groove. The performance of the proposed procedure is studied experimentally using an industrial-size T-joint specimen. Several cases of scanning motion parameters have been tested, and a discussion on the results is given.

show abstract

A survey of flaws near welds detected by side angle ultrasound examination of anhydrous ammonia nurse tanks

Cited by 3 publications

References 9 publications

Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces

Laser Scanning and Parametrization of Weld Grooves with Reflective Surfaces

Advances techniques of the structured light sensing in intelligent welding robots: a review

Robotic weld groove scanning for large tubular T-joints using a line laser sensor

Contact Info

Product

Resources

About