A Portable Electrochemical Microcell for Weld Inspection of Duplex Stainless Steel Tanks

Guilherme, Luis Henrique; Benedetti, Assis Vicente; Fugivara, Cecilio Sadao

doi:10.5006/3004

Cited by 8 publications

(12 citation statements)

References 33 publications

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“…For corrosion testing, a customized electrochemical mini-cell with diameter of 1.5 mm was used 26 , with a platinum counter electrode and a Ag|AgCl|KCL (3 mol L -1 ) reference electrode.…”

Section: Methodsmentioning

confidence: 99%

“…WPS 2 showed significant sensitisation of the fusion line and the weld root regions. Small DOS variation of the different regions (e.g face vs root in WPS1) should be treated with caution, since small differences can be a function of the size of the chromium-depleted zones present within the tested surface area of the minicell used 26,33,34 . A distinct difference between root, face and fusion line is observed in WPS2.…”

Section: Skpfm Assessmentmentioning

confidence: 99%

“…Also, this point of view is useful to the industrial facilities manufacturer to choose the weld surface that it will be exposed to the corrosive environment (e.g. tube sheet weld of heat exchanger) to avoid the surface degradation during equipment operation 23,26,42,43 .…”

Section: Pitting Corrosion Resistancementioning

confidence: 99%

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Corrosion Assessment of ASME Qualified Welding Procedures for Grade 2101 Lean Duplex Stainless Steel

et al. 2019

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ASME qualified welding procedures do not guarantee suitable corrosion and passivation properties for lean duplex stainless steel welds. An evaluation of two ASME qualified welding procedures to optimize the corrosion performance of tungsten inert gas (TIG) welded grade 2101 duplex stainless steel using ER2209 weld consumable was conducted. The evolution of the microstructure was examined by optical and electron microscopy, ferrite-scope measurements, and scanning Kelvin probe force microscopy. An electrochemical mini-cell was then used to characterize the electrochemical behavior of different weld regions using the techniques such as the double loop electrochemical potentiokinetic reactivation test, standard potentiodynamic polarization tests, and cyclic potentiodynamic polarization. The fusion line was the most critical zone for localized corrosion for both welding procedures, due to the formation of Cr- and Mo-depleted zones, resulting in the highest degree of sensitization. The best performance was attributed to the weld face, due to the presence of higher Cr and Mo contents, highlighting the pitting corrosion resistance. A heat input range of 1.6 kJ/mm to 1.9 kJ/mm and low current density (WPS 1) indicated better corrosion performance of all weld regions. The electrochemical corrosion response was in all cases related to microstructural characteristics of the weld regions. The influence of weld parameters on microstructure development and corrosion performance is discussed.

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“…For corrosion testing, a customized electrochemical mini-cell with diameter of 1.5 mm was used 26 , with a platinum counter electrode and a Ag|AgCl|KCL (3 mol L -1 ) reference electrode.…”

Section: Methodsmentioning

confidence: 99%

Section: Skpfm Assessmentmentioning

confidence: 99%

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Corrosion Assessment of ASME Qualified Welding Procedures for Grade 2101 Lean Duplex Stainless Steel

et al. 2019

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“…A collaborative research project conducted by an university and an engineering corporation has been carried out in order to adapt and to transfer the electrochemical techniques from the laboratory bench to the field application, and as a result it was developed a portable electrochemical micro/ minicell 16 to be used to inspect welds 5 , surfaces finish 17 and passivated surfaces 18,19 .…”

Section: Introductionmentioning

confidence: 99%

Passivation Level of AISI 316L Aseptic Tank Surface Quantified by On-Site Electrochemical Techniques

Guilherme¹,

Benedetti

Fugivara

et al. 2022

Mat. Res.

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Frequently stainless steel AISI 316L aseptic tanks have their passivity and corrosion resistance properties degraded by biofilm formation and localized corrosion processes. Thereby, maintenance projects are performed to repair the surface in food-grade product contact to obtain an aseptic property as defined by ASME BPE. However, the on-site non-destructive testing are limited to the liquid penetrant examination and the average roughness measurement. The on-site open circuit potential and on-site cyclic polarization measurements were conducted using a portable electrochemical minicell. The level of passivation was quantified on the tank surface, and it was performed before and after the repairing maintenance protocol be made. The results of the on-site electrochemical measurements showed a clear difference between as-degraded and repaired surfaces, indicating a sensible response to aseptic surface inspection. The on-site open circuit potential together with the on-site cyclic polarization were considered an advanced tool to support the maintenance projects of the AISI 316L aseptic surfaces.

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“…At present, steel welds are usually detected by nondestructive methods, in which X-ray is the common most method [8]. X-ray weld detection is divided into radiographic film detection and digital detection according to the images.…”

Section: Introductionmentioning

confidence: 99%

Weld Defect Detection and Image Defect Recognition Using Deep Learning Technology

Deng

Feng

et al. 2021

Preprint

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Welding defects not only bring several economic losses to enterprises and individuals but also threatens peoples lives. We propose a deep learning model, where the data-trained deep learning algorithm is employed to detect the weld defects, and the Convolutional Neural Networks (CNNs) are utilized to recognize the image features. The Transfer Learning (TL) is adopted to reduce the training time via simple adjustments and hyperparameter regulations. The designed deep learning-based model is compared with other classic models to prove its effectiveness in weld defect detection and image recognition further. The results show this model can accurately identify weld defects and eliminates the complexity of manually extracting features, reaching a recognition accuracy of 92.54%. Hence, the reliability and automation of detection and recognition is improved signifificantly. Actual application also verififies the effectiveness of TL in weld defect detection and image defect recognition. Therefore, our research results can provide theoretical and practical references for effificient automatic detection of steel plates, cost reduction, and the high-quality development of iron and steel enterprises.Index Terms - convolutional neural network, deep learning, image detect recognition, transfer learning, weld defect detection

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A Portable Electrochemical Microcell for Weld Inspection of Duplex Stainless Steel Tanks

Cited by 8 publications

References 33 publications

Corrosion Assessment of ASME Qualified Welding Procedures for Grade 2101 Lean Duplex Stainless Steel

Corrosion Assessment of ASME Qualified Welding Procedures for Grade 2101 Lean Duplex Stainless Steel

Passivation Level of AISI 316L Aseptic Tank Surface Quantified by On-Site Electrochemical Techniques

Weld Defect Detection and Image Defect Recognition Using Deep Learning Technology

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