Article
Chemistry, Physical
Zhengyi Xu, Pengyuan Zhang, Bo Zhang, Bing Lei, Zhiyuan Feng, Yawei Shao, Yanqiu Wang, Guozhe Meng
Summary: This study investigated the effect of stress on the cathodic hydrogen evolution behavior of X70 pipeline steel through electrochemical tests, tensile tests, and microstructural characterization. The results showed that tensile stress increased the activity of hydrogen adsorption sites on the metal surface, which had a significant impact on the generation, adsorption, and permeation of hydrogen atoms. Experimental data demonstrated that tensile stress enhanced the adsorption of hydrogen atoms on the surface and inhibited the Tafel and Heyrovsky reaction, leading to an increase in subsurface hydrogen atom concentration and further enhancing the hydrogen embrittlement susceptibility of X70 steel.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Construction & Building Technology
Weizhi Wang, Junying Hu, Xi Yuan, Li Zhou, Jiansheng Yu, Zhi Zhang, Xiankang Zhong
Summary: Tensile stress and erosion can independently promote general corrosion of pipeline steel. The combination of tensile stress and erosion can have a synergistic effect on general corrosion by reducing the compactness of corrosion products layer, accelerating the mass transfer process, and improving the reaction activity of the steel. Erosion suppresses localized corrosion, while tensile stress enhances it.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Miha Kovacic, Uros Zuperl
Summary: This study explores the impact of non-metallic inclusions on mechanical properties and finds that reducing silicon content can significantly improve the yield and tensile strength of low alloy steel.
Article
Construction & Building Technology
Johann Eduard van der Merwe
Summary: A practical and accurate expression is proposed to evaluate the relationship between concrete tensile strength and temperature. Experimental data and tests were used to formulate and validate the expression, and existing expressions were also checked. The results show that the concrete grade and mix properties do not significantly affect the reduction of concrete tensile strength with increased temperature.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Engineering, Multidisciplinary
Salman Maqbool, Ammad Hassan Khan, Mujasim Ali Rizvi, Aasim Inam, Faizan Ahmad Kashmiri
Summary: Moisture susceptibility, a key factor in asphalt concrete pavement deterioration, can be minimized by understanding the combined effect of aggregate gradation and asphalt. This study examines laboratory-prepared mixtures to determine the impact of differential aggregate gradations and bitumen grade on moisture vulnerability. The findings highlight the importance of selecting specific gradations and binder grades for improved resistance to moisture damage in AC mixtures.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Environmental Sciences
Saheed A. Lateef, Ismaila A. Oyehan, Tajudeen A. Oyehan, Tawfik A. Saleh
Summary: This study investigated the effects of adsorption parameters on the removal of methylene blue from wastewater using different models including multiple linear regression and machine learning. The optimized machine learning models outperformed the best multiple linear regression model. Aluminum loading, adsorbent dosage, and initial adsorbate concentration were found to be the most important factors affecting removal efficiency.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Yongqiang Guo
Summary: This paper presents an in-depth study and analysis of the design of art graphics symbolization through a linear regression algorithm. It improves the training efficiency and classification accuracy of the logistic regression algorithm by selecting a suitable range of learning rate and adding modules of data reordering and regularization penalty method. The emotional characteristics and presentation of graphic symbols are explored, along with their impact on human cognitive behavior in the guidance signage system. The significance of emotional expression of graphic symbols in the guidance signage system is summarized.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Chemistry, Physical
Keya Fu, Dexin Zhu, Yuqi Zhang, Cheng Zhang, Xiaodong Wang, Changji Wang, Tao Jiang, Feng Mao, Xiaobo Meng, Hua Yu
Summary: This study explores the relationship between grain size and tensile strength in aluminum alloys by compiling a comprehensive dataset and utilizing machine learning models. By integrating hardness as a feature variable, a more robust predictor of tensile strength is obtained. Polynomial regression is also used to derive a mathematical relationship between tensile strength, alloy composition, and grain size.
Article
Metallurgy & Metallurgical Engineering
Seung-Hyeok Shin, Dong-Kyu Oh, Young-Chul Yoon, Byoungchul Hwang
Summary: This study investigates the correlation between microstructures and anisotropy of low-temperature toughness in two high-strength API X70 pipeline steels fabricated at different coiling temperatures. It is found that higher coiling temperatures lead to the formation of pearlites, which increase the ductile-to-brittle transition temperature. The specimens tested in the transverse-longitudinal and longitudinal-transverse directions exhibit excellent low-temperature toughness, while the specimen tested in the diagonal-diagonal direction shows the highest ductile-to-brittle transition temperature.
STEEL RESEARCH INTERNATIONAL
(2023)
Article
Materials Science, Multidisciplinary
Ling-Zhi Xu, Gui-Ying Qiao, Xu Gong, Yu Gu, Kai Xu, Fu-Ren Xiao
Summary: This study investigates the differences in microstructure and mechanical properties of a heavy-wall ferrite/bainite dual-phase X70 pipeline steel plate. It is found that the surface and mid-thickness layers exhibit higher strength and hardness, while the quarter layer exhibits higher plasticity. The refined grain size and strong fiber texture contribute to the enhanced strength and hardness. The analysis of strain-hardening behavior reveals that the mid-thickness layer has a higher strain-hardening capacity at the beginning of plastic strain, leading to deformation instability and reduced material plasticity.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Engineering, Mechanical
Joseane M. Giarola, Julian A. Avila, Osvaldo M. Cintho, Haroldo C. Pinto, Marcelo F. de Oliveira, Waldek W. Bose Filho
Summary: Hydrogen embrittlement affects the mechanical properties of steel. This study assessed the influence of hydrogen on the microstructure and fracture toughness of steel welded by friction-stir welding, simulating real-life conditions.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2022)
Article
Green & Sustainable Science & Technology
Yan Li, Fathin Nur Syakirah Hishamuddin, Ahmed Salih Mohammed, Danial Jahed Armaghani, Dmitrii Vladimirovich Ulrikh, Ali Dehghanbanadaki, Aydin Azizi
Summary: The study aimed to estimate rock BTS values by employing three non-destructive rock index tests. Predictive models were developed using MLR and ANFIS approaches, with the ANFIS model showing closer predictions to actual BTS values compared to MLR. This neuro-fuzzy technique proved to be strong in prediction capacity and can be utilized in various rock-based projects for problem-solving.
Article
Materials Science, Multidisciplinary
Zongxiang Shi, Linxiu Du, Xin He, Xiuhua Gao, Hongyan Wu, Yang Liu, Heng Ma, Xiaoxin Huo, Xuehui Chen
Summary: This study proposed an adequate model, BO-XGBoost, for predicting the mechanical properties of V-N steel hot-rolled plates. Different machine learning models were established using composition-process-yield strength data of V-N steel hot-rolled plate. The hyperparameters of the models were optimized using the Bayesian optimization method.
Article
Engineering, Manufacturing
M. Shojaee, A. R. H. Midawi, B. Barber, H. Ghassemi-Armaki, M. Worswick, E. Biro
Summary: This study investigated the resistance spot weldability of third-generation advanced high strength steels 3G-980 and 3G-1180, developing weldability windows to determine acceptable welding zones for different welding times, and evaluating optimal weld strengths for different welding conditions. The study also analyzed the hardness changes in different weldment regions and the crack initiation and propagation paths of the interrupted lap-shear specimens for both steels.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Construction & Building Technology
Yu Xia, Chu Ding, Zhanjie Li, Benjamin W. Schafer, Hannah B. Blum
Summary: AHSS has higher strength and potential application in cold-formed steel construction, but requires a deep understanding and quantification of material properties, along with a novel proof stress proposed to represent the yield strength of AHSS.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
(2021)
Article
Metallurgy & Metallurgical Engineering
Siwei Wu, Guangming Cao, Xiaoguang Zhou, Naian Shi, Zhenyu Liu
ISIJ INTERNATIONAL
(2017)
Article
Metallurgy & Metallurgical Engineering
Siwei Wu, Xiaoguang Zhou, Qiyuan Chen, Jiakuan Ren, Guangming Cao, Zhenyu Liu
STEEL RESEARCH INTERNATIONAL
(2017)
Article
Metallurgy & Metallurgical Engineering
Si-wei Wu, Xiao-guang Zhou, Jia-kuang Ren, Guang-ming Cao, Zhen-yu Liu, Nai-an Shi
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
(2018)
Article
Metallurgy & Metallurgical Engineering
Siwei Wu, Xiaoguang Zhou, Guangming Cao, Naian Shi, Zhenyu Liu
STEEL RESEARCH INTERNATIONAL
(2018)
Article
Materials Science, Multidisciplinary
Jun Chen, Jia-kuan Ren, Zhen-yu Liu, Guo-dong Wang
MATERIALS SCIENCE AND TECHNOLOGY
(2019)
Article
Materials Science, Multidisciplinary
Siwei Wu, Jian Yang, Zhenyu Liu
MATERIALS TRANSACTIONS
(2020)
Article
Materials Science, Multidisciplinary
Jia-Kuan Ren, Qi-Yuan Chen, Jun Chen, Zhen-Yu Liu
Article
Materials Science, Multidisciplinary
Si-wei Wu, Jian Yang, Guang-ming Cao
Summary: The study found that the deep neural network had the best performance in predicting the impact energy of low carbon steel, with the Bayesian optimization deep neural network achieving the highest correlation coefficient and the lowest error. Among the process parameter variables, for low carbon steel with a thickness of 7.5 mm, the thickness of the original slab, the thickness of the intermediate slab, and the rough rolling exit temperature are the most important factors.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2021)
Article
Chemistry, Physical
Jun Chen, Shuang Li, Jia-Kuan Ren, Zhen-Yu Liu
Summary: The study demonstrates a strong dependence of strain hardening and deformation structure on deformation temperature in a high manganese austenitic steel. Sufficient twinning provides high and stable strain hardening capacity, while at 4K, mechanical twinning is hard to activate, resulting in the observation of planar dislocation arrays as a reason for multi-peak strain hardening behaviors.
Article
Metallurgy & Metallurgical Engineering
Si-wei Wu, Jian Yang
Summary: Through data-driven technique and convolutional neural network, the lime utilization ratio in desulfurization process can be accurately predicted. Sensitivity analysis shows that lime weight and initial sulfur content have significant effects on the lime utilization ratio.
METALLURGICAL RESEARCH & TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Siwei Wu, Jian Yang, Runhao Zhang, Hideki Ono
Article
Computer Science, Information Systems
Siwei Wu, Jian Yang, Guangming Cao, Yunlong Qiu, Guoguang Cheng, Meiyi Yao, Jianxin Dong