Yu Duan, Yufeng Xia, Baihao Zhang, Wei Jiang, Peitao Guo, Lu Li
{"title":"Extrusion Temperature-Dependent Mechanical and Degradation Behavior in a Cost-Effective and High-Performance Mg–0.6Zr Alloy","authors":"Yu Duan, Yufeng Xia, Baihao Zhang, Wei Jiang, Peitao Guo, Lu Li","doi":"10.1007/s40195-025-01893-3","DOIUrl":"10.1007/s40195-025-01893-3","url":null,"abstract":"<div><p>Developing cost-effective and high-performance magnesium alloys is a key focus in lightweight materials applications. In this work, a Mg extrusion alloy with a remarkable cost-performance advantage was prepared by microalloying with cost-effective zirconium and adjusting the deformation temperature. Investigations revealed that both the degree of dynamic recrystallization (DRX) and the average grain size increased with increasing extrusion temperature, developing a more homogeneous microstructure. Although all samples exhibited a typical basal texture, a progressive spreading of crystallographic orientations along the < 10–10 > – < 11–20 > arc became increasingly pronounced with elevated extrusion temperatures. At a low extrusion temperature of 200 °C, the heterogeneous microstructure and strong basal texture favored texture and grain boundary strengthening, resulting in the largest yield strength of ~ 244 MPa. However, the potential difference between coarse and fine grains aggravated localized corrosion with a higher corrosion rate of ~ 14.56 mm/y. Conversely, at a high extrusion temperature of 320 °C, the coarse grains and weak basal texture enhanced dislocation storage and the activation of multiple slip systems during axial tension, providing better strain hardening ability and the largest ductility of ~ 13.6%. Nevertheless, grain coarsening and texture weakening were detrimental to mechanical strength (~ 162 MPa). Interestingly, extrusion at 250 °C developed a good combination of grain size, microstructure homogeneity, and texture intensity, achieving synergistic enhancement in grain boundary strengthening, dislocation storage, and uniform corrosion. Thus, a balanced yield strength of ~ 185 MPa, ductility of ~ 12.9%, and corrosion rate of ~ 4.31 mm/y were obtained in this sample.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 10","pages":"1751 - 1764"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lihua Zhu, Bing Wei, Kaiqi Wang, Changjie Zhou, Hongjun Ji
{"title":"Optimizing Selective Laser Melting of a High-Alloyed Ni-Based Superalloy: Achieving Crack-Free Fabrication with Enhanced Microstructure and Mechanical Properties","authors":"Lihua Zhu, Bing Wei, Kaiqi Wang, Changjie Zhou, Hongjun Ji","doi":"10.1007/s40195-025-01900-7","DOIUrl":"10.1007/s40195-025-01900-7","url":null,"abstract":"<div><p>Selective laser melting, a predominant additive manufacturing technology for fabricating geometrically complex components, faces significant challenges when processing high-performance Ni-based superalloys containing elevated Al and Ti concentrations (typically > 6 wt%), particularly regarding micro-cracking susceptibility. In this study, we demonstrate the successful fabrication of a novel crack-free Ni-based superalloy with 6.4 wt% (Al + Ti) content via optimized energy density, systematically investigating its microstructure, defects, and mechanical properties. Process parameter analysis revealed that insufficient energy densities led to unmolten pores, while excessively high energy densities caused keyhole formation. With an optimal energy density of 51.1 J/mm<sup>3</sup>, the crack-free superalloy exhibited exceptional mechanical properties: room temperature tensile strength of 1130 MPa with 36% elongation and elevated-temperature strength reaching 1198 MPa at 750 °C. This strength enhancement correlates with the precipitation of nanoscale γ′ phases (mean size: 31.56 nm) during high temperature. Furthermore, the mechanism of crack suppression is explained from multiple aspects, including energy density, grain structure, grain boundary characteristics, and the distribution of secondary phases. The absence of low-melting-point eutectic phases and brittle phases during the printing process is also explained from the perspective of alloy composition. These findings provide a comprehensive framework for alloy design and process optimization in additive manufacturing of defect-resistant Ni-based superalloys.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 10","pages":"1719 - 1734"},"PeriodicalIF":3.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145171644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tensile Properties of Electrochemically Hydrogenated As-Built, Hot Isostatic Pressed and Heat-Treated Electron Beam Melted Ti–6Al–4V Alloys","authors":"Noa Lulu-Bitton, Nissim U. Navi, Noam Eliaz","doi":"10.1007/s40195-025-01899-x","DOIUrl":"10.1007/s40195-025-01899-x","url":null,"abstract":"<div><p>Only a few studies have reported the effects of electrochemical hydrogenation on the tensile mechanical properties of additively manufactured Ti–6Al–4V alloy, in all of them the alloy was processed by laser powder-bed fusion. Furthermore, the effects of either hot isostatic pressing (HIP) or heat treatment (HT) post-treatments on the mechanical properties were not reported. Here, the Young’s modulus, ultimate tensile stress, and uniform (homogeneous) strain of as-built electron beam melted (EBM) Ti–6Al–4V alloys were studied using small tensile specimens before and after electrochemical hydrogenation, as well as before and after secondary processes of HIP at 920 °C and HT at 1000 °C. The tensile properties of all hydrogenated alloys were significantly degraded compared to their non-hydrogenated counterparts. The yield stress could not be determined for all hydrogenated alloys, as failure occurred at a strain below 0.2% offset. The uniform strain of the hydrogenated alloys was less than 1%, compared to 1%–5% for the non-hydrogenated alloys. The fracture mode of the hydrogenated alloys after HIP and HT revealed cleavage fracture, indicating increased brittleness. In the as-built hydrogenated alloy, the fracture mode varied with location: brittle fracture occurred near the surface due to the formation of a hydride layer, while a more ductile fracture with dimples was observed below this layer.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 10","pages":"1711 - 1718"},"PeriodicalIF":3.9,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi-Ming Chen, Jian-Lin Lu, Dong Yu, Hua-Yong Ren, Xiao-Bin Hu, Lei Wang, Zhi-Jun Wang, Jun-Jie Li, Jin-Cheng Wang
{"title":"Accurate Identification of High Relative Density in Laser-Powder Bed Fusion Across Materials Using a Machine Learning Model with Dimensionless Parameters","authors":"Yi-Ming Chen, Jian-Lin Lu, Dong Yu, Hua-Yong Ren, Xiao-Bin Hu, Lei Wang, Zhi-Jun Wang, Jun-Jie Li, Jin-Cheng Wang","doi":"10.1007/s40195-025-01895-1","DOIUrl":"10.1007/s40195-025-01895-1","url":null,"abstract":"<div><p>Machine learning (ML) methods have been extensively applied to optimize additive manufacturing (AM) process parameters. However, existing studies predominantly focus on the relationship between processing parameters and properties for specific alloys, thus limiting their applicability to a broader range of materials. To address this issue, dimensionless parameters, which can be easily calculated from simple analytical expressions, were used as inputs to construct an ML model for classifying the relative density in laser-powder bed fusion. The model was trained using data from four widely used alloys collected from literature. The accuracy and generalizability of the trained model were validated using two laser-powder bed fusion (L-PBF) high-entropy alloys that were not included in the training process. The results demonstrate that the accuracy scores for both cases exceed 0.8. Moreover, the simple dimensionless inputs in the present model can be calculated conveniently without numerical simulations, thereby facilitating the recommendation of process parameters.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 10","pages":"1645 - 1656"},"PeriodicalIF":3.9,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hao Cheng, Cheng-Lei Wang, Xiao-Du Li, Li Pan, Chao-Jie Liang, Wei-Jie Liu
{"title":"Machine Learning-Based High Entropy Alloys-Algorithms and Workflow: A Review","authors":"Hao Cheng, Cheng-Lei Wang, Xiao-Du Li, Li Pan, Chao-Jie Liang, Wei-Jie Liu","doi":"10.1007/s40195-025-01894-2","DOIUrl":"10.1007/s40195-025-01894-2","url":null,"abstract":"<div><p>High-entropy alloys (HEAs) have attracted considerable attention because of their excellent properties and broad compositional design space. However, traditional trial-and-error methods for screening HEAs are costly and inefficient, thereby limiting the development of new materials. Although density functional theory (DFT), molecular dynamics (MD), and thermodynamic modeling have improved the design efficiency, their indirect connection to properties has led to limitations in calculation and prediction. With the awarding of the Nobel Prize in Physics and Chemistry to artificial intelligence (AI) related researchers, there has been a renewed enthusiasm for the application of machine learning (ML) in the field of alloy materials. In this study, common and advanced ML models and strategies in HEA design were introduced, and the mechanism by which ML can play a role in composition optimization and performance prediction was investigated through case studies. The general workflow of ML application in material design was also introduced from the programmer’s point of view, including data preprocessing, feature engineering, model training, evaluation, optimization, and interpretability. Furthermore, data scarcity, multi-model coupling, and other challenges and opportunities at the current stage were analyzed, and an outlook on future research directions was provided.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 9","pages":"1453 - 1480"},"PeriodicalIF":3.9,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Review of Intelligent Design and Optimization of Metal Casting Processes","authors":"Xiaolong Pei, Hua Hou, Yuhong Zhao","doi":"10.1007/s40195-025-01891-5","DOIUrl":"10.1007/s40195-025-01891-5","url":null,"abstract":"<div><p>Casting technology is a fundamental and irreplaceable method in advanced manufacturing. The design and optimization of casting processes are crucial for producing high-performance, complex metal components. Transitioning from traditional process design based on \"experience + experiment\" to an integrated, intelligent approach is essential for achieving precise control over microstructure and properties. This paper provides a comprehensive and systematic review of intelligent casting process design and optimization for the first time. First, it explores process design methods based on casting simulation and integrated computational materials engineering (ICME). It then examines the application of machine learning (ML) in process design, highlighting its efficiency and existing challenges, along with the development of integrated intelligent design platforms. Finally, future research directions are discussed to drive further advancements and sustainable development in intelligent casting design and optimization.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 8","pages":"1293 - 1311"},"PeriodicalIF":3.9,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145168103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A 2.6 GPa Ultra-Strong Steel with Ultrafine Lamellar Structure Produced by Heavy Warm Rolling","authors":"Yutao Wang, Liming Fu, Shuo Ma, Wei Wang, Aidang Shan","doi":"10.1007/s40195-025-01890-6","DOIUrl":"10.1007/s40195-025-01890-6","url":null,"abstract":"<div><p>An ultra-strong steel with enhanced ductility and ultrafine lamellar structure was produced by heavy warm rolling (HWR) of metastable austenite and subsequent quenching. The HWR steel exhibited an ultrahigh yield strength of 1.09 GPa and an ultimate tensile strength of 2.6 GPa, with a total elongation of 6.7% at room temperature. The high yield strength was primarily attributed to the synergistic strengthening of high-density dislocations, nanotwins, and ultrafine martensite grains with an average effective grain size of 1.02 μm. The enhanced ductility is attributed to the parallel lamellar structure, which increased the work-hardening capacity and resulted in delamination toughening. Compared to the heavy multistage rolling (HMR) process, which starts rolling at higher temperatures, the HWR method employed in this study demonstrates significant enhancements in both strength and ductility. Following a 150 °C low-temperature tempering for 1 h, the yield strength of HWR steel was further increased to 2.2 GPa, and the total elongation improved to 10.1%.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 9","pages":"1613 - 1627"},"PeriodicalIF":3.9,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quasi-in-situ EBSD Study on the Microstructure and Tensile Properties of Selective Laser Melted Inconel 718 Alloy Processed by Different Heat Treatments","authors":"Yuanyuan Feng, Jianchao Pang, Xiaoyuan Teng, Chenglu Zou, Jingjing Liang, Yuping Zhu, Shouxin Li, Jinguo Li, Zhefeng Zhang","doi":"10.1007/s40195-025-01887-1","DOIUrl":"10.1007/s40195-025-01887-1","url":null,"abstract":"<div><p>The effects of various heat treatments on the microstructures and mechanical properties of as-built selective laser melted Inconel 718 alloy were investigated through conventional and quasi-in-situ tensile tests. The corresponding heat treatment processes include direct aging (DA), solution + aging (SA), and homogenization + aging (HA). The DA and SA samples preserve the melt pool configuration and grain size stability, while the precipitated phase characteristics reveal the refinement of the long-strip Laves phase and the appearance of the <i>δ</i> phase, respectively. The HA process induces recrystallization and grain coarsening. The specimens exhibit enhanced strength concomitant with diminished elongation, which is likely attributed to the reduction of the geometrically necessary dislocation density and the intensified precipitation of the <i>γ</i>′′ phase after heat treatment. Tensile plastic deformation displays notable strain concentration along grain boundaries. The dimensional alterations in precipitated phases were measured to quantitatively determine the impact of grain boundary, dislocation and precipitation strengthening on the yield strength after heat treatment. Precipitation strengthening encompasses coherent, order, and Orowan strengthening. A remarkable agreement is revealed between theoretical predictions and experimental results. Insights are offered for optimizing heat treatment processes to comprehend microstructural evolution effect on the mechanical properties of additive-manufactured metals.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 9","pages":"1499 - 1512"},"PeriodicalIF":3.9,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Self-Sacrifice Template Method to Produce FeS Encapsulated into N, S Co-Doped Carbon for Improved Lithium Storage Performance","authors":"Xu Liu, Lan-Yun Yang, Li-Ting Zeng, Yun Peng, Chen-Xi Xu, Lei Li, Jia-Le Sun, Yang-Yang Chen, Liang Chen, Zhao-Hui Hou","doi":"10.1007/s40195-025-01883-5","DOIUrl":"10.1007/s40195-025-01883-5","url":null,"abstract":"<div><p>The development of high-performance transition metal sulfide (TMS)/carbon composites to replace conventional graphite anode remains a critical challenge for advancing lithium-ion batteries (LIBs). In this study, a facile self-sacrifice template method is developed to prepare FeS encapsulated into N, S co-doped carbon (FeS/NSC) composite using melamine-cyanuric acid (MCA) supermolecule as a multifunctional template precursor. The function of MCA supermolecule for material synthesis is explored, revealing its special function as a dispersant, dopant and pore-forming agent. Furthermore, the effect of Fe source dosage on the morphology, structure and composition of the final products is explored. The resultant FeS/NSC-0.1 (where 0.1 represents the mass of added Fe source) exhibits the most optimal proportion, characterized by a good dispersion status of FeS within the NSC matrix, effective N, S co-doping and ample porosity. Benefiting from these merits, the FeS/NSC-0.1 anode demonstrates significantly improved cycling stability and rate capability when compared to the counterparts. Undoubtedly, this work offers a universal method to produce advanced transition metal sulfide/carbon composite electrodes for energy storage and conversion systems.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 9","pages":"1637 - 1644"},"PeriodicalIF":3.9,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biao Zhang, Yuntian Du, Huishuang Jia, Yuanyi Zhou, Liguang Wang, Minghe Zhang, Yunli Feng, Weimin Gao, Ning Xu
{"title":"Hot Deformation Behavior of CoNiV Medium-Entropy Alloy: Constitutive Model, Convolutional Neural Network, Hot Processing Map, and Microstructure Evolution","authors":"Biao Zhang, Yuntian Du, Huishuang Jia, Yuanyi Zhou, Liguang Wang, Minghe Zhang, Yunli Feng, Weimin Gao, Ning Xu","doi":"10.1007/s40195-025-01885-3","DOIUrl":"10.1007/s40195-025-01885-3","url":null,"abstract":"<div><p>This study systematically investigates the hot deformation behavior and microstructural evolution of CoNiV medium-entropy alloy (MEA) in the temperature range of 950–1100 °C and strain rates of 0.001–1 s<sup>−1</sup>. The Arrhenius model and machine learning model were developed to forecast flow stresses at various conditions. The predictive capability of both models was assessed using the coefficients of determination (<i>R</i><sup>2</sup>), average absolute relative error (AARE), and root mean square error (RMSE). The findings show that the osprey optimization algorithm convolutional neural network (OOA-CNN) model outperforms the Arrhenius model, achieving a high <i>R</i><sup>2</sup> value of 0.99959 and lower AARE and RMSE values. The flow stress that the OOA-CNN model predicted was used to generate power dissipation maps and instability maps under different strains. Finally, combining the processing map and microstructure characterization, the ideal processing domain was identified as 1100 °C at strain rates of 0.01–0.1 s<sup>−1</sup>. This study provided key insights into optimizing the hot working process of CoNiV MEA.</p></div>","PeriodicalId":457,"journal":{"name":"Acta Metallurgica Sinica-English Letters","volume":"38 8","pages":"1275 - 1292"},"PeriodicalIF":3.9,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}