Isij International最新文献_第5页

Investigation of the effects of mechanical properties and carbon content on cold cracking in laser welds of high-strength thin steel sheets 研究机械性能和碳含量对高强度薄钢板激光焊接冷裂纹的影响

IF 1.8 4区材料科学

Isij International Pub Date : 2024-07-05 DOI: 10.2355/isijinternational.isijint-2024-144

Hajime Ashida, Hiroki Fujimoto

{"title":"Investigation of the effects of mechanical properties and carbon content on cold cracking in laser welds of high-strength thin steel sheets","authors":"Hajime Ashida, Hiroki Fujimoto","doi":"10.2355/isijinternational.isijint-2024-144","DOIUrl":"https://doi.org/10.2355/isijinternational.isijint-2024-144","url":null,"abstract":"This study reports a case of cold cracking along welds, which arises from solidification cracking within the crater during the laser welding of high-strength steel sheets. In this investigation, we aimed to delineate the factors influencing cold cracking that originates from solidification cracking in the crater. This was achieved by using steel sheets whose mechanical properties (tensile strength: 0.6 to 1.5 GPa) and chemical composition (carbon content: 0.20 to 0.55%) were individually adjusted. The evaluation method involved performing laser welding in a stitch pattern on an oiled steel sheet, with variations in welding length. The evaluation focused on the maximum welding length at which cold cracking occurred (LMAX). The results indicated that while a high tensile strength of the steel sheet marginally increased the LMAX, the impact remained limited. Conversely, the carbon content of the steel sheet significantly influenced cold cracking; the LMAX for carbon contents of 0.30% and 0.45% was substantially greater than that for 0.20%. However, an unusual behavior was observed at a carbon content of 0.55%, where the LMAX was smaller than that for 0.45%, despite the significant hardening of the weld metal. This phenomenon was hypothesized to occur because the tensile residual stresses in the welds decreased as martensitic transformation starting temperature lowered and the expansion strain during the transformation increased with higher carbon content.\u0000","PeriodicalId":14619,"journal":{"name":"Isij International","volume":"2015 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141567610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

System for recognizing gas flow distribution patterns in blast furnace centre based on computer vision 基于计算机视觉的高炉中心煤气流分布模式识别系统

IF 1.8 4区材料科学

Isij International Pub Date : 2024-07-03 DOI: 10.2355/isijinternational.isijint-2023-463

Fu-min Li, Chang-hao Li, Song Liu, Xiao-jie Liu, Jun Zhao, Qing Lyu

{"title":"System for recognizing gas flow distribution patterns in blast furnace centre based on computer vision","authors":"Fu-min Li, Chang-hao Li, Song Liu, Xiao-jie Liu, Jun Zhao, Qing Lyu","doi":"10.2355/isijinternational.isijint-2023-463","DOIUrl":"https://doi.org/10.2355/isijinternational.isijint-2023-463","url":null,"abstract":"Reasonable gas flow distribution plays a decisive role in the smooth operation of blast furnace smelting, but it is difficult to detect the gas flow distribution in blast furnace in real time. An intelligent prediction and identification system of central gas flow distribution based on infrared image of blast furnace and cross-beam temperature measurement is constructed(C-GFD). The system is mainly composed of two models, namely the image model and the prediction and recognition model. In the image model, three kinds of derived parameters, namely, central gas flow area, temperature and offset, are extracted by the image entropy and neighbourhood valley-emphasis (ENVE) Otsu, thermodynamic heat transfer and grey scale centroid algorithms, and then the statistical relationship between the change of image information and the distribution of gas flow is investigated. In the prediction and recognition model is established by the algorithms based on convolutional neural network long and short-term memory (CNN-LSTM) and Euclidean-weighted fuzzy C-mean clustering (E-FCM) to complete the prediction of the three types of derived parameters, and the prediction data is transferred to the recognition model to complete the recognition of the central gas flow distribution pattern. The test results show that the system provides real-time and reliable gas flow reference information for blast furnace operators with 95% accuracy in model prediction and more than 90% accuracy in pattern recognition of various types of central gas flow distribution.\u0000","PeriodicalId":14619,"journal":{"name":"Isij International","volume":"50 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141515122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of shape and composition of steel particles on simultaneous H2 production and CO2 fixation 钢颗粒的形状和成分对同时产生 H2 和固定 CO2 的影响

IF 1.8 4区材料科学

Isij International Pub Date : 2024-06-27 DOI: 10.2355/isijinternational.isijint-2024-129

Hayao Yagi, Norika Nakazawa, Naoki Yamamoto, Hiromi Eba

引用次数: 0

Application of Online Automated Segmentation and Evaluation Method in Anomaly Detection at Rail Profile Based on Pattern Matching and Complex Networks 基于模式匹配和复杂网络的在线自动分割和评估方法在铁路轮廓异常检测中的应用

IF 1.8 4区材料科学

Isij International Pub Date : 2024-06-27 DOI: 10.2355/isijinternational.isijint-2024-003

Lingling Tong, Zhimin Lv, Jing Guo

{"title":"Application of Online Automated Segmentation and Evaluation Method in Anomaly Detection at Rail Profile Based on Pattern Matching and Complex Networks","authors":"Lingling Tong, Zhimin Lv, Jing Guo","doi":"10.2355/isijinternational.isijint-2024-003","DOIUrl":"https://doi.org/10.2355/isijinternational.isijint-2024-003","url":null,"abstract":"In steel rail production, complex deformations can induce non-uniform changes in cross-sectional profiles along the rail's length, resulting in unevenness and safety implications. It is essential to perform dimensional testing to ascertain compliance with standard requirements. Currently, profile inspection results are manually evaluated, posing efficiency challenges and a lack of standardized criteria.To address this challenge, this paper proposes an online automatic steel rail segmentation and evaluation method (online-ASE) based on pattern matching and complex networks to enable automatic rail profile assessment. This method initially utilizes offline high-dimensional time series data for conducting Toeplitz Inverse Covariance-based Clustering (TICC) training and constructs a standard quality characterization pattern library through distinct inverse covariance structures between abnormal and normal high-dimensional quality characterization indicators of steel rails. When applied online, the Viterbi shortest path dynamic programming algorithm is utilized to match steel rail data with the pattern library, swiftly identifying anomalous rail segments. Additionally, the algorithm computes the contribution of steel rail quality parameters to the segmentation results using complex network betweenness centrality, thereby explaining the reasons for segment formation. These explanations provide a reference basis for subsequent steel rail repairs. Finally, the effectiveness of the proposed method is validated using real-world steel rail data from a specific steel factory in China.\u0000","PeriodicalId":14619,"journal":{"name":"Isij International","volume":"61 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance and Structural Analysis of Vanadium Composite Electrogalvanized Steel Sheets 钒复合电镀锌钢板的性能和结构分析

IF 1.8 4区材料科学

Isij International Pub Date : 2024-06-27 DOI: 10.2355/isijinternational.isijint-2024-162

Fumio Shibao, Hiromasa Shoji, Hiroaki Nakano

引用次数: 0

Chlorine-free Microwave Digestion of Stainless Steel for Inductively Coupled Plasma Mass Spectrometric Analysis 用于电感耦合等离子体质谱分析的不锈钢无氯微波消解技术

IF 1.8 4区材料科学

Isij International Pub Date : 2024-06-20 DOI: 10.2355/isijinternational.isijint-2024-050

Kenichi Nakayama

引用次数: 0

Hydrogen content dependence of the contribution of dislocation-slip stability and carbide precipitation morphology to the hydrogen embrittlement property of high-strength martensitic steels 位错滑移稳定性和碳化物析出形态对高强度马氏体钢氢脆特性贡献的氢含量依赖性

IF 1.8 4区材料科学

Isij International Pub Date : 2024-06-17 DOI: 10.2355/isijinternational.isijint-2024-156

Kei Saito, Kenichi Takai

{"title":"Hydrogen content dependence of the contribution of dislocation-slip stability and carbide precipitation morphology to the hydrogen embrittlement property of high-strength martensitic steels","authors":"Kei Saito, Kenichi Takai","doi":"10.2355/isijinternational.isijint-2024-156","DOIUrl":"https://doi.org/10.2355/isijinternational.isijint-2024-156","url":null,"abstract":"The contribution of dislocation-slip stability and carbide precipitation morphology to the hydrogen embrittlement (HE) property of tempered martensitic steels with low and high silicon contents (L-Si and H-Si) and oil-quenched martensitic steel (As-OQ), was evaluated by conducting slow strain rate tests. The order of dislocation-slip stability was the H-Si specimen > L-Si specimen > As-OQ specimen. The H-Si and As-OQ specimens had finely dispersed carbides inside prior austenite (γ) grains, whereas the L-Si specimen had coarsely dispersed carbides inside prior γ grains and on the boundaries. Notched specimens were charged with hydrogen in a range of low (0.19-0.31 ppm), medium (1.04-1.49 ppm), and high (2.17-2.33 ppm) hydrogen contents. The H-Si specimen had the highest HE property under the three hydrogen charging conditions. With the low and medium hydrogen charging conditions, the HE property of the L-Si specimen was higher than that of the As-OQ specimen, whereas their HE properties markedly declined to a similar level under the high hydrogen charging condition. The HE property of the L-Si specimen with increased dislocation-slip stability by applying stress relaxation was equivalent to that of the L-Si specimen under the high hydrogen charging condition. These results revealed that increasing dislocation-slip stability improved the HE property in the range of low to medium hydrogen charging. Under the high hydrogen charging condition, dislocation-slip stability did not contribute to improving the HE property, but it was found that the carbide precipitation morphology, particularly coarse carbides precipitated on prior γ grain boundaries, influenced the HE property.\u0000","PeriodicalId":14619,"journal":{"name":"Isij International","volume":"32 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141515124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of precipitate phases in an 11 pct Cr ferritic and martensitic steel after thermomechanical treatment 热机械处理后 11 pct Cr 铁素体和马氏体钢中沉淀相的鉴定

IF 1.8 4区材料科学

Isij International Pub Date : 2024-06-17 DOI: 10.2355/isijinternational.isijint-2024-042

Yinzhong Shen, Yajing Guo

{"title":"Identification of precipitate phases in an 11 pct Cr ferritic and martensitic steel after thermomechanical treatment","authors":"Yinzhong Shen, Yajing Guo","doi":"10.2355/isijinternational.isijint-2024-042","DOIUrl":"https://doi.org/10.2355/isijinternational.isijint-2024-042","url":null,"abstract":"An 11 mass% Cr ferritic/martensitic steel was subjected to a standard heat treatment consisting of normalizing and tempering and subsequently, a thermomechanical treatment (TMT) process involving austenization at 1100 °C for 1 hour, warm-rolling with 93% deformation at 650 °C and tempering at 650 °C for 1 hour. The precipitate phases of the TMT-processed steel were qualitatively analyzed using transmission electron microscopes and energy dispersive X-ray spectrometers in combination of lattice parameter calculation. Nb-rich MC carbides and Nb-rich M(C,N) carbonitrides pre-existing in the normalized-and-tempered steel were also observed in the TMT-processed steel. Eight types of precipitate phases introduced by the TMT were identified in the TMT-processed steel. They are Nd-rich MC carbide with a face-centered cubic crystal structure and lattice parameter a = 1.1408 nm, Cr-rich M2C carbides/Cr-rich M2X (Cr2C type) carbonitrides/Cr-rich M2X (Cr2N type) carbonitride with a hexagonal crystal structure, Cr-rich M7C3 carbides/Cr-rich M3C2 carbide/V-rich M2(C,N) carbonitride with a simple orthorhombic crystal structure, and Mn-rich M5C2 carbide with a base-centered monoclinic crystal structure. Among these identified precipitate phases, Nb-rich MC carbides, Nb-rich M(C,N) carbonitrides, Cr-rich M2C carbides and Cr-rich M2X (Cr2C type) carbonitrides are dominant phases, while the other six precipitate phases are minor phases, in the TMT-processed steel. The identified precipitate phases are also discussed.\u0000","PeriodicalId":14619,"journal":{"name":"Isij International","volume":"27 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Non-Isothermal Reduction Kinetics Model of Self-Reducing Iron Ore Pellets 自还原铁矿球团的非等温还原动力学模型

IF 1.8 4区材料科学

Isij International Pub Date : 2024-06-17 DOI: 10.2355/isijinternational.isijint-2024-107

Suporn Kittivinitchnun, Pruet Kowitwarangkul, Elsayed Mousa, Alexander Babich

{"title":"Non-Isothermal Reduction Kinetics Model of Self-Reducing Iron Ore Pellets","authors":"Suporn Kittivinitchnun, Pruet Kowitwarangkul, Elsayed Mousa, Alexander Babich","doi":"10.2355/isijinternational.isijint-2024-107","DOIUrl":"https://doi.org/10.2355/isijinternational.isijint-2024-107","url":null,"abstract":"In this study, a non-isothermal reduction kinetics model has been developed for a single self-reducing iron ore pellet (SRP) to enhance the understanding of the reduction kinetics especially in the thermal reserve zone (TRZ) of the blast furnace (BF). The model simulates the mass changes and chemical processes during reduction, incorporating the effects of temperature, gas composition, and pellet composition on the reduction kinetics of different iron oxide phases, including Fe2O3, Fe3O4, and FeO. A mathematical model, comprising a comprehensive set of ordinary differential equations (ODEs), has been developed and solved using numerical methods and MATLAB software. The model has been rigorously validated against previous studies, specifically under non-isothermal conditions. It enables the calculation of mass loss and the reduction extent of specific phases of iron oxide, with the rate constant (k-value) curve across different temperatures. Moreover, the model adaptability is highlighted by its effective application in various BF conditions, as demonstrated by its use with data from the reference plants.\u0000","PeriodicalId":14619,"journal":{"name":"Isij International","volume":"216 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141515123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The influence of water content on the kinetics and mechanisms of hydrogen reduction using industrial iron ore pellets at 873 K - 1173 K 含水量对在 873 K - 1173 K 下使用工业铁矿球团进行氢还原的动力学和机理的影响

IF 1.8 4区材料科学

Isij International Pub Date : 2024-06-17 DOI: 10.2355/isijinternational.isijint-2023-443

Oscar Hessling, Julia Brännberg Fogelström, Niklas Kojola, Johan Martinsson

{"title":"The influence of water content on the kinetics and mechanisms of hydrogen reduction using industrial iron ore pellets at 873 K - 1173 K","authors":"Oscar Hessling, Julia Brännberg Fogelström, Niklas Kojola, Johan Martinsson","doi":"10.2355/isijinternational.isijint-2023-443","DOIUrl":"https://doi.org/10.2355/isijinternational.isijint-2023-443","url":null,"abstract":"This work aims to study the effect of pH2O in the atmosphere during hydrogen reduction of iron oxide over a temperature range relevant to industrial practice. To further the industrial context, industrially produced hematite iron ore pellets are utilized. A resistance heated furnace was employed to conduct experiments, in the temperature range 873 K – 1173 K. A water vapor generator was used to control water vapor partial pressure during hydrogen reduction in the range 0-15% pH2O. The system was carefully designed to ensure precise control of the water content in the reaction gas. Thermal Gravimetric Analysis (TGA) was used to follow the reduction of the iron ore pellets. To understand the reaction mechanisms, Scanning Electron Microscopy (SEM) was used to study the microstructure of partially reduced pellets. Results suggest the reduction rate is profoundly affected by water at 873 K, less so when the temperature is increased. The microstructure is also highly affected by pH2O at 873 K, at higher temperatures the microstructure is less affected. The influences of gas dilution and chemical reaction rate on these aspects are discussed.\u0000","PeriodicalId":14619,"journal":{"name":"Isij International","volume":"5 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0