Intergranular Corrosion of Cu-Al-Ni Alloy in 0.5 mol dm−3 H2SO4 Solution

Vrsalović, Ladislav; Gudić, Senka; Terzić, Lana; Ivanić, Ivana; Kožuh, Stjepan; Gojić, Mirko; Oguzie, Emeka E.

doi:10.15255/kui.2020.022

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…Relativno visoka vrijednost gustoće korozijske struje sugerira istodobnu pojavu i opće korozije legure uz odvijanje jamičaste korozije. 71 Porast koncentracije kloridnih iona dovodi do negativnosti potencijala otvorenog strujnog kruga kontinuirano lijevane legure Cu-12,29Al-4,05Ni te do smanjenja vrijednosti polarizacijskog otpora i povišenja vrijednosti gustoće korozijske struje. 72 Ispitivanja su provedena u 0,1, 0,5, 0,9 i 1,5 % otopinama NaCl te je utvrđeno da intenzitet jamičaste korozije raste s povećanjem koncentracije kloridnih iona, što je pokazala analiza površine OM i SEM mikroskopom (slika 13).…”

Section: Mikrostrukturna I Fraktografska Analizaunclassified

“…68 Ispitivanje korozijskog ponašanja legure Cu- Korozijsko ponašanje legure Cu-11Al-3,4Mn-3,2Zn u 0,5 mol dm −3 otopini Na 2 SO 4 pri različitim temperaturama elektrolita ispitano je različitim nedestruktivnim elektrokemijskim metodama, kao što su mjerenje potencijala otvorenog strujnog kruga, metoda linearne polarizacije i elektrokemijske impedancijske spektroskopije kao i destruktivnim metodama u širokom području potencijala, kao što su potenciodinamička polarizacijska metoda i metoda cikličke polarizacije. 76 Rezultati ispitivanja pokazali su negativan utjecaj temperature elektrolita na korozijsku otpornost legure, što je vidljivo iz negativnosti vrijednosti E OC , opadanja vrijednosti polarizacijskog otpora, porasta vrijednosti gustoće korozijske struje kao i smanjivanja polumjera kapacitivnog polukruga kod impedancijskih mjerenja (slika 18).…”

Section: Mikrostrukturna I Fraktografska Analizaunclassified

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Razvoj legura s prisjetljivošću oblika na bazi bakra u okviru znanstveno-istraživačkih projekata na Metalurškom fakultetu Sveučilišta u Zagrebu

Gojić

Kožuh

Ivanić

et al. 2023

Kemija U Industriji

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Section: Mikrostrukturna I Fraktografska Analizaunclassified

Razvoj legura s prisjetljivošću oblika na bazi bakra u okviru znanstveno-istraživačkih projekata na Metalurškom fakultetu Sveučilišta u Zagrebu

Gojić

Kožuh

Ivanić

et al. 2023

Kemija U Industriji

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“…1 This latest technique has attracted the interest of many industrial sectors because of its simplicity, high efficiency, and cost-effectiveness. [2][3][4][5][6] Multicomponent adsorption equilibrium is complex due to the nonlinear relationships between dependent variables and the nature of the interactions between the adsorbent and the adsorbate (synergism, antagonism or non-interaction). 7 The chemical species are adsorbed at the same time with a different degree of competition, depending on several thermo-physicochemical and morphological parameters 8 In this sense, different theoretical and empirical models (kinetics such as pseudo-first-order, pseudo-second-order, liquid film diffusion and isotherms such as competitive Langmuir, Freundlich, Temkin, Dubinin-Radushkevich and Elovich) 9 have been proposed in literature to model this phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Multicomponent Adsorption Capacity Forecasting Based on Support Vector Machine with Dragonfly Algorithm

Moumen

Laidi

Hanini

et al. 2023

Kemija U Industriji

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The predictability of the adsorption capacity of the multicomponent adsorption system was modelled using Support Vector Machine (SVM). Two SVM models were built and compared. In the first model, the SVM method was used with an already built-in optimisation algorithm. However, in the second model, the SVM method was used by means of a very recent and efficient optimisation algorithm: the Dragonfly Algorithm (DA). The models' accuracy was evaluated by three well-established statistical metrics (root mean squared error RMSE, determination coefficient R 2 , and correlation coefficient R). The used data were collected from previous experimental papers published in literature containing all kinds of pollutants, such as heavy metal ions, dyes, and organic compounds, and different natural/ synthetic adsorbents. The dataset contained five important variables with 1023 points; the variables were divided into four inputs (molecular weight, equilibrium concentrations of adsorbate, specific area of adsorbent, and temperature), and one output (adsorption capacity at equilibrium). The data were divided using the holdout function into two subsets (80 % for training set, and 20 % for test set). The programming stage was carried out using MATLAB software. The results showed that the optimised DA-SVM model with RBF-Gaussian kernel function had good ability for global search combined with high prediction accuracy, with R 2 = 0.997, R = 0.998, and RMSE = 2.539. The obtained model can be used to predict the efficiency of the adsorption system, and provides a tool for process optimisation responding to changes in operating conditions. A new graphical user interface (GUI) was developed with MATLAB GUI to estimate accurately the desired responses by using the best DA-SVM model.

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Biocompatibility Study of a Cu-Al-Ni Rod Obtained by Continuous Casting

Lazić

Karišik

et al. 2022

Processes

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Cu-Al-Nishape memory alloys (SMAs) are widely known for their better properties in comparison to other SMAs (lower production costs, increased ductility, enhanced machinability, reduced liquidus temperature, and decreased hysteresis), but there is still controversy in terms of the biological properties of these materials. The aim of this study was to evaluate biofunctional performances of Cu-Al-Ni alloy produced by continuous casting. The micro-chemical analysis was investigated by SEM/EDX. Immersion tests performed for seven days were used to estimate the quantity of Cu, Al, and Ni ions released in neutral pH and slightly acidic artificial saliva. To assess the biocompatibility of the Cu-Al-Ni alloy samples, MTT assay on fibroblasts and dental pulp cells was performed in indirect and direct contact with samples after 1,3, and 7 days.The study revealed that continuous casting enables the primary fabrication of Cu-Al-Ni rods with a shape memory effect. Samples immersed in artificial saliva with 6.5 pH value showed no significant amounts of released ions, despite the high concentration of copper in the alloy. However, in the acidic environment, the suppression of Cu was 0.14 µg/cm2, Al 1.9 µg/cm2, and Ni 0.73 µg/cm2, and as expected, it was confirmed that Cu-Al-Ni alloy is not corrosion resistant in an acidic environment. In conclusion, this study showed that biocompatibility concerns are related only to materials with a high Cu content in acidic environments. Oppositely, small doses of Cu ions promote cell proliferation, which might be useful in further attempts to enrich different biomedical materials with copper.

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Intergranular Corrosion of Cu-Al-Ni Alloy in 0.5 mol dm−3 H2SO4 Solution

Cited by 3 publications

References 24 publications

Razvoj legura s prisjetljivošću oblika na bazi bakra u okviru znanstveno-istraživačkih projekata na Metalurškom fakultetu Sveučilišta u Zagrebu

Razvoj legura s prisjetljivošću oblika na bazi bakra u okviru znanstveno-istraživačkih projekata na Metalurškom fakultetu Sveučilišta u Zagrebu

Multicomponent Adsorption Capacity Forecasting Based on Support Vector Machine with Dragonfly Algorithm

Biocompatibility Study of a Cu-Al-Ni Rod Obtained by Continuous Casting

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