Comparative study of three austenitic alloy with cobalt resistant to cavitation deposited by plasma welding

Will, C.; Capra, André Ricardo; Pukasiewicz, Anderson Geraldo Marenda; Chandelier, Joceli da Guia; Paredes, Ramón Sigifredo Cortés

doi:10.1080/09507116.2010.527487

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…Co content filler metals have superior resistance [30,31], however, in the case of carbon steel runners, the deposition of stainless steel 309L already is a possible and effective solution, due to its higher resistance to cavitation [12]. Will et al [30] evaluated the cavitation resistance of 309LSi and Co-steel alloys coatings welded by PTA with different parameters of the pulsed current, resulting in the lowest erosion rate for the Cavitec alloy, 0.45 mg/h, welded with pulsed current 180/120 A and peak/base time 0.1/0.1 s. By the same process, but with current 160 A, da Cruz, Henke, and d'Oliveira [32] welded the FeMnCrSi alloy [33], obtaining erosion rate of 0.52 mg/h, aswelded, and 0.33 mg/h, after mechanical cold work post-treatment, which converted partially the phase austenite on martensite, increasing the hardness and cavitation resistance. Using the same PTA pulsed arc process, but with pulsed current 180/80 A and peak/base time 0.1/0.1 s, Pukasiewicz et al [34] remelted FeMnCrSi [33] alloy arc-sprayed coatings, reaching the erosion rate of 0.65 mg/h.…”

Section: Defects and Repairing Of Runnersmentioning

confidence: 99%

Welding and Thermal Spray Processes for Maintenance of Hydraulic Turbine Runners: Case Studies

Váz

Tristante²,

Pukasiewicz

et al. 2021

Soldag. insp.

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Hydraulic runners are susceptible to failures by cracks or wear by erosion, corrosion, or cavitation. The modern runners are fabricated in carbon steel and martensitic stainless steel. Arc welding processes normally do the repair of eroded areas, or cracked parts. Each material or type of repair needs specific criteria, procedures, and precautions to guarantee their success and prevent future issues, like the recurrence of the cracks or reduction of the useful life of the runner by modifications of the original material. Wear-resistant coatings are applied by welding or by thermal spray processes, considering this last one has no metallurgical interaction with the material of the runner, keeping the original properties of the material. For several years the companies Copel GeT, Lactec, UTFPR, and UFPR collaborate on the study of different techniques, methods, and processes to repair hydraulic runners, this work aims to present a short compilation, and examples of some results obtained applied on real runners.

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Section: Defects and Repairing Of Runnersmentioning

confidence: 99%

Welding and Thermal Spray Processes for Maintenance of Hydraulic Turbine Runners: Case Studies

Váz

Tristante²,

Pukasiewicz

et al. 2021

Soldag. insp.

Self Cite

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“…This implosion generates micro-jets, which reach the material with energy enough to erode the hydraulic component by a fatigue mechanism [12][13]. To improve the runners' cavitation resistance, coatings have been applied by welding process on the runners' areas susceptible to cavitation, depositing materials resistant to cavitation, highlighting the cobalt stainless steels filler metal [8,13], which is widely applied by GMAW (Gas Metal Arc Welding) [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Thermal Spraying of FeMnCrSi Alloys: An Overview

Váz

Pukasiewicz

Siqueira

et al. 2021

Thermal Spray 2021: Proceedings From the International Thermal Spray Conference

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FeMnCrSi alloys have been developed and studied over the past several years with an emphasis on their use as coatings on CA6NM stainless steel hydroturbine components. Much of the work conducted has focused on the optimization of cavitation resistance through chemical composition changes, the use of different thermal spraying (ASP, HVOF, HVAF) and welding (PTA) processes, and post-treatments such as shot-peening, cold working, and PTA remelting. The aim of this current work is to present a compilation of published articles that report on the research that has been done. Among the trends observed is that coating density and cavitation resistance improve with increasing particle velocity, particularly for HVOF-kerosene spraying. In regard to post-treatments, cold working was found to most effective, reducing cavitation mass loss (in PTA FeMnCrSi coatings) by a factor of nearly two.

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“…Overall, there is a demand for corelating the mechanical and functional properties of engineering materials with their CER. Different methods are employed to this end, starting from simple comparative analyses [32][33][34] and regression methods [4,35,36] to artificial neural networks [37,38]. Although comparative analyses into the relationship between plasma spray parameters and CER are reported in the literature [39,40], to our knowledge, no study to date has utilized the ANN to predict the CER of APS thermally sprayed coatings.…”

Section: Introductionmentioning

confidence: 99%

Neural Modelling of APS Thermal Spray Process Parameters for Optimising the Hardness, Porosity and Cavitation Erosion Resistance of Al2O3 -13% TiO2 Coatings

Szala¹,

Łatka²,

Awtoniuk³

et al. 2020

Preprint

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The study aims to elaborate a neural model and algorithm for optimising hardness and porosity of coatings and thus ensure that they have superior cavitation erosion resistance. Al2O3-13wt.%TiO2 ceramic coatings were deposited onto 316L stainless steel by atmospheric plasma spray (ASP). The coatings were prepared with different values of two spray process parameters: the stand-off distance and torch velocity. Microstructure, porosity and microhardness of the coatings were examined. Cavitation erosion tests were conducted in compliance with the ASTM G32 standard. Artificial neural networks (ANN) were employed to elaborate the model, and the multi-objectives genetic algorithm (MOGA) was used to optimise both properties and cavitation erosion resistance of the coatings. Results were analysed with Matlab software by Neural Network Toolbox and Global Optimization Toolbox. The fusion of artificial intelligence methods (ANN+MOGA) is essential for future selection of thermal spray process parameters, especially for the design of ceramic coatings with specified functional properties. Selection of these parameters is a multicriteria decision problem. The proposed method made it possible to find a Pareto front, i.e. trade-offs between several conflicting objectives – maximising the hardness and cavitation erosion resistance of Al2O3-13%TiO2 coatings and, at the same time, minimizing their porosity.

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Comparative study of three austenitic alloy with cobalt resistant to cavitation deposited by plasma welding

Cited by 8 publications

References 4 publications

Welding and Thermal Spray Processes for Maintenance of Hydraulic Turbine Runners: Case Studies

Welding and Thermal Spray Processes for Maintenance of Hydraulic Turbine Runners: Case Studies

Thermal Spraying of FeMnCrSi Alloys: An Overview

Neural Modelling of APS Thermal Spray Process Parameters for Optimising the Hardness, Porosity and Cavitation Erosion Resistance of Al<sub>2</sub>O<sub>3</sub> -13% TiO<sub>2</sub> Coatings

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