{"title":"已开发的金属保护弧焊电极涂层助焊剂润湿性特征的预测建模:回归和人工神经网络方法","authors":"Alok Gupta, Jaiveer Singh, Rahul Chhibber","doi":"10.1007/s11663-024-03170-7","DOIUrl":null,"url":null,"abstract":"<p>The coating fluxes used in SMAW electrodes for nuclear power plants have been specially developed. The study investigates various characteristics such as floatation coefficient, work of adhesion, spread area, and contact angle at a high temperature of 1323 K. The flux compositions, comprising Na<sub>3</sub>AlF<sub>6</sub>–CaO–Al<sub>2</sub>O<sub>3</sub>–SiO<sub>2</sub>, are developed using the extreme vertices design approach, resulting in 26 different compositions. Furthermore, the surface tension of these fluxes was calculated as part of the investigation. Regression analysis was employed to predict the influence of individual constituents and their interactions on the wettability properties of the flux coatings. Additionally, artificial neural network (ANN) models were developed and compared to regression analysis to assess prediction accuracy. The fluxes underwent further characterization through X-ray diffraction (XRD) and Fourier transform infrared (FTIR) analysis to identify the phases present. The structural analysis of the molten slag was conducted by examining the powdered samples obtained through quenching. The FTIR results indicate the presence of [SiO<sub>4</sub>]<sup>4−</sup> tetrahedral units and [AlO<sub>4</sub>]<sup>5−</sup> tetrahedral units, suggesting the formation of a network structure. Additionally, it is observed that CaO acts as a network breaker, causing the release of non-bridging oxygen (O<sup>−</sup>) at the expense of bridging oxygen (O<sup>0</sup>). The individual components CaO, Na<sub>3</sub>AlF<sub>6</sub>, Al<sub>2</sub>O<sub>3</sub>, and SiO<sub>2</sub> were found to cause a decreased effect, while the binary interaction of the coating constituents shows a significant effect on the contact angle and floatation Coefficient. Individual interactions, CaO, SiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>, and Na<sub>3</sub>AlF<sub>6</sub> exhibit a positive impact, while the binary interactions of Na<sub>3</sub>AlF<sub>6</sub>·SiO<sub>2</sub>, Na<sub>3</sub>AlF<sub>6</sub>·Al<sub>2</sub>O<sub>3</sub>, CaO·Na<sub>3</sub>AlF<sub>6</sub>, Al<sub>2</sub>O<sub>3</sub>·SiO<sub>2</sub>, CaO·SiO<sub>2</sub>, and CaO·Al<sub>2</sub>O<sub>3</sub> have been found to have a decreasing effect on the spread area and work of adhesion.</p>","PeriodicalId":18613,"journal":{"name":"Metallurgical and Materials Transactions B","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive Modeling of Wettability Characteristics in Developed Shielded Metal Arc Welding Electrode Coating Fluxes: A Regression and Artificial Neural Network Approach\",\"authors\":\"Alok Gupta, Jaiveer Singh, Rahul Chhibber\",\"doi\":\"10.1007/s11663-024-03170-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The coating fluxes used in SMAW electrodes for nuclear power plants have been specially developed. The study investigates various characteristics such as floatation coefficient, work of adhesion, spread area, and contact angle at a high temperature of 1323 K. The flux compositions, comprising Na<sub>3</sub>AlF<sub>6</sub>–CaO–Al<sub>2</sub>O<sub>3</sub>–SiO<sub>2</sub>, are developed using the extreme vertices design approach, resulting in 26 different compositions. Furthermore, the surface tension of these fluxes was calculated as part of the investigation. Regression analysis was employed to predict the influence of individual constituents and their interactions on the wettability properties of the flux coatings. Additionally, artificial neural network (ANN) models were developed and compared to regression analysis to assess prediction accuracy. The fluxes underwent further characterization through X-ray diffraction (XRD) and Fourier transform infrared (FTIR) analysis to identify the phases present. The structural analysis of the molten slag was conducted by examining the powdered samples obtained through quenching. The FTIR results indicate the presence of [SiO<sub>4</sub>]<sup>4−</sup> tetrahedral units and [AlO<sub>4</sub>]<sup>5−</sup> tetrahedral units, suggesting the formation of a network structure. Additionally, it is observed that CaO acts as a network breaker, causing the release of non-bridging oxygen (O<sup>−</sup>) at the expense of bridging oxygen (O<sup>0</sup>). The individual components CaO, Na<sub>3</sub>AlF<sub>6</sub>, Al<sub>2</sub>O<sub>3</sub>, and SiO<sub>2</sub> were found to cause a decreased effect, while the binary interaction of the coating constituents shows a significant effect on the contact angle and floatation Coefficient. Individual interactions, CaO, SiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>, and Na<sub>3</sub>AlF<sub>6</sub> exhibit a positive impact, while the binary interactions of Na<sub>3</sub>AlF<sub>6</sub>·SiO<sub>2</sub>, Na<sub>3</sub>AlF<sub>6</sub>·Al<sub>2</sub>O<sub>3</sub>, CaO·Na<sub>3</sub>AlF<sub>6</sub>, Al<sub>2</sub>O<sub>3</sub>·SiO<sub>2</sub>, CaO·SiO<sub>2</sub>, and CaO·Al<sub>2</sub>O<sub>3</sub> have been found to have a decreasing effect on the spread area and work of adhesion.</p>\",\"PeriodicalId\":18613,\"journal\":{\"name\":\"Metallurgical and Materials Transactions B\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metallurgical and Materials Transactions B\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11663-024-03170-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metallurgical and Materials Transactions B","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11663-024-03170-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
用于核电站 SMAW 电极的涂层助熔剂是专门开发的。该研究调查了在 1323 K 高温下的浮动系数、附着功、铺展面积和接触角等各种特性。助焊剂成分由 Na3AlF6-CaO-Al2O3-SiO2 组成,采用极端顶点设计方法进行开发,最终产生了 26 种不同的成分。此外,作为研究的一部分,还计算了这些助熔剂的表面张力。采用回归分析法预测单个成分及其相互作用对助焊剂涂层润湿性能的影响。此外,还开发了人工神经网络 (ANN) 模型,并将其与回归分析进行比较,以评估预测的准确性。通过 X 射线衍射 (XRD) 和傅立叶变换红外 (FTIR) 分析对助焊剂进行了进一步表征,以确定存在的相。熔渣的结构分析是通过检查淬火后得到的粉末样品进行的。傅立叶变换红外光谱分析结果表明,熔渣中存在[SiO4]4-四面体单元和[AlO4]5-四面体单元,这表明熔渣形成了网络结构。此外,还观察到 CaO 起到了网络破坏者的作用,以牺牲桥接氧(O0)为代价,导致非桥接氧(O-)的释放。研究发现,单个成分 CaO、Na3AlF6、Al2O3 和 SiO2 的作用减弱,而涂层成分的二元相互作用对接触角和漂浮系数有显著影响。单个相互作用(CaO、SiO2、Al2O3 和 Na3AlF6)显示出积极影响,而二元相互作用(Na3AlF6-SiO2、Na3AlF6-Al2O3、CaO-Na3AlF6、Al2O3-SiO2、CaO-SiO2 和 CaO-Al2O3)则发现对铺展面积和附着功有降低影响。
Predictive Modeling of Wettability Characteristics in Developed Shielded Metal Arc Welding Electrode Coating Fluxes: A Regression and Artificial Neural Network Approach
The coating fluxes used in SMAW electrodes for nuclear power plants have been specially developed. The study investigates various characteristics such as floatation coefficient, work of adhesion, spread area, and contact angle at a high temperature of 1323 K. The flux compositions, comprising Na3AlF6–CaO–Al2O3–SiO2, are developed using the extreme vertices design approach, resulting in 26 different compositions. Furthermore, the surface tension of these fluxes was calculated as part of the investigation. Regression analysis was employed to predict the influence of individual constituents and their interactions on the wettability properties of the flux coatings. Additionally, artificial neural network (ANN) models were developed and compared to regression analysis to assess prediction accuracy. The fluxes underwent further characterization through X-ray diffraction (XRD) and Fourier transform infrared (FTIR) analysis to identify the phases present. The structural analysis of the molten slag was conducted by examining the powdered samples obtained through quenching. The FTIR results indicate the presence of [SiO4]4− tetrahedral units and [AlO4]5− tetrahedral units, suggesting the formation of a network structure. Additionally, it is observed that CaO acts as a network breaker, causing the release of non-bridging oxygen (O−) at the expense of bridging oxygen (O0). The individual components CaO, Na3AlF6, Al2O3, and SiO2 were found to cause a decreased effect, while the binary interaction of the coating constituents shows a significant effect on the contact angle and floatation Coefficient. Individual interactions, CaO, SiO2, Al2O3, and Na3AlF6 exhibit a positive impact, while the binary interactions of Na3AlF6·SiO2, Na3AlF6·Al2O3, CaO·Na3AlF6, Al2O3·SiO2, CaO·SiO2, and CaO·Al2O3 have been found to have a decreasing effect on the spread area and work of adhesion.