Smart Materials in Manufacturing最新文献

Creation of heavily La-doped SrTiO3 thermoelectric films achieved by freeze-dry pulsated orifice ejection method and laser powder bed fusion 冻干脉冲孔喷射法和激光粉末床熔合制备重la掺杂SrTiO3热电薄膜

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100077

Myeonggyun Kang , Zhenxing Zhou , Weiwei Zhou, Naoyuki Nomura

{"title":"Creation of heavily La-doped SrTiO3 thermoelectric films achieved by freeze-dry pulsated orifice ejection method and laser powder bed fusion","authors":"Myeonggyun Kang , Zhenxing Zhou , Weiwei Zhou, Naoyuki Nomura","doi":"10.1016/j.smmf.2025.100077","DOIUrl":"10.1016/j.smmf.2025.100077","url":null,"abstract":"<div><div>Achieving both fine grain sizes and high doping levels simultaneously holds great promise for improving the dimensionless figure of merit (zT) of oxide thermoelectric materials; however, this remains a global challenge. This study presents a pioneering example of fabricating heavily La-doped SrTiO<sub>3</sub> films by leveraging the unique characteristics of laser powder bed fusion (L-PBF). A novel freeze-dry pulsated orifice ejection method (FD-POEM) was used to prepare spherical SrTiO<sub>3</sub>–La<sub>2</sub>O<sub>3</sub> composite powders with a narrow size distribution, homogeneous element distribution, and high laser absorptivity. Owing to the high processing temperature and rapid solidification of the L-PBF process, the La<sub>2</sub>O<sub>3</sub> nanoparticles decomposed and dissolved in the lattice of the cubic perovskite SrTiO<sub>3</sub>. Consequently, the thermoelectric SrTiO<sub>3</sub> film achieved a high La doping concentration of 36.7 mol% and a nanoscale grain size of approximately 700 nm, surpassing conventional methods. Moreover, the La-doped SrTiO<sub>3</sub> film, approximately 10 μm thick, was closely deposited onto a Mo substrate and exhibited excellent thermal stability at 1073 K, making it well-suited for high-temperature thermoelectric applications.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100077"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wire-arc directed energy depositing high-ductility Cu-10Fe immiscible alloy with a hierarchical microstructure 电弧定向能沉积高塑性Cu-10Fe非混相合金

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100095

Xinglong Di , Siyi Peng , Yueling Guo , Shuijun Ye , Longxi Luo , Bo Yin , Changmeng Liu

{"title":"Wire-arc directed energy depositing high-ductility Cu-10Fe immiscible alloy with a hierarchical microstructure","authors":"Xinglong Di , Siyi Peng , Yueling Guo , Shuijun Ye , Longxi Luo , Bo Yin , Changmeng Liu","doi":"10.1016/j.smmf.2025.100095","DOIUrl":"10.1016/j.smmf.2025.100095","url":null,"abstract":"<div><div>In this work, a thin-wall Cu-10Fe (10 wt%) immiscible alloy component is fabricated by wire-arc directed energy deposition (WA-DED), leveraging the high energy absorption of the electric arc for copper alloys and its high deposition rate. Results show that Liquid-Liquid Phase Separation (LLPS) occurs upon solidification during WA-DED, and a hierarchical microstructure is formed, including micro-sized and nano-sized Fe particles, nano-sized Cu particles, as well as Fe dendrites embedded in the Cu matrix. A slight mechanical property anisotropy is found via tensile testing, and the horizontal specimen has superior strength and ductility. The decent ductility, 37.1 ± 0.9 % in elongation, is achieved with a ductile dimple fracture mode. It is associated with the relatively fine grains, the hierarchical microstructure and the formation of twins. Our pioneering investigation on the microstructure and mechanical property of Cu-10Fe alloy via WA-DED provides an applicable pathway for the efficient fabrication of high-performance Cu-based immiscible alloys.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-temperature oxidation behavior of SLM-processed and forged GH5188 Co-based superalloy slm加工锻造GH5188钴基高温合金的高温氧化行为

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100093

Chao Yang , Xue Chen , Yusheng Tian , Yifeng Tang , Shiping Cai , Wei Wei , Qianli Huang , Hang Guo , Aihui Huang , Paul K. Chu

{"title":"High-temperature oxidation behavior of SLM-processed and forged GH5188 Co-based superalloy","authors":"Chao Yang , Xue Chen , Yusheng Tian , Yifeng Tang , Shiping Cai , Wei Wei , Qianli Huang , Hang Guo , Aihui Huang , Paul K. Chu","doi":"10.1016/j.smmf.2025.100093","DOIUrl":"10.1016/j.smmf.2025.100093","url":null,"abstract":"<div><div>The high-temperature oxidation behavior of GH5188 cobalt-based superalloy, fabricated via selective laser melting (SLM) and forging, is investigated to elucidate the impact of additive manufacturing on oxidation resistance. SLM-processed samples exhibit a hierarchical microstructure with nanoscale carbides (∼80 nm) pinned at cellular boundaries (100 nm to micrometer scale), contrasting with the equiaxed grains (∼10 μm) and coarse W-rich M<sub>6</sub>C carbides (∼5 μm) in forged samples. After isothermal oxidation at 1000 °C and 1100 °C for 200 h, SLM samples show significantly lower mass gains compared to forged samples (69 % and 75 % of forged values), attributed to enhanced oxide scale adhesion and stability. Cyclic oxidation at 1000 °C for 50 cycles reveals stable mass gains in SLM samples (37 % of forged value) with minimal cracking, while forged samples suffer severe spallation due to volatile WO<sub>3</sub> formation from coarse carbides. This study demonstrates that SLM's refined microstructure suppresses deleterious carbide decomposition, offering a novel strategy to enhance the oxidation resistance of Co-based superalloys for aerospace and high-temperature applications.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100093"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gcs-Unet: A lightweight attention network for coaxial melt pool monitoring in laser powder bed fusion Gcs-Unet：用于激光粉末床熔化过程中同轴熔池监测的轻量级关注网络

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100094

Wei Wei , Yi Li , Haixin Wu , Xiuming Li , Yuhui Zhang , Hang Ren , Yu Long , Yunfei Huang

{"title":"Gcs-Unet: A lightweight attention network for coaxial melt pool monitoring in laser powder bed fusion","authors":"Wei Wei , Yi Li , Haixin Wu , Xiuming Li , Yuhui Zhang , Hang Ren , Yu Long , Yunfei Huang","doi":"10.1016/j.smmf.2025.100094","DOIUrl":"10.1016/j.smmf.2025.100094","url":null,"abstract":"<div><div>In laser powder bed fusion (L-PBF), coaxial melt pool monitoring methods based on spontaneous radiation often miss low-radiation regions such as the trailing edge, resulting in incomplete information. Additionally, traditional image processing techniques like threshold segmentation lack robustness under complex backgrounds caused by auxiliary lighting, limiting their effectiveness for real-time applications. To address these challenges, a new coaxial melt pool monitoring system was developed, providing clearer and more comprehensive images that capture both geometry and texture. Building on this foundation, an attention-enhanced deep learning network, Gcs-Unet, was proposed to enable robust semantic segmentation under complex conditions. The proposed model achieved an inference time of 6.75 ms while maintaining high performance (99.5 % accuracy, 87.6 % Dice, 86.2 % mIoU) and reducing parameters by 42.91 %, meeting real-time deployment requirements. Furthermore, it was found that scanning speed significantly influences melt pool behavior, with a 33 % speed increase resulting in a 37.45 % rise in the variation of the high-temperature zone's center. These results provide strong support for process optimization and melt pool analysis in L-PBF.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effects of TiN nanoparticle incorporation on the microstructure and wear resistance of additively manufactured CoCrMoW alloys TiN纳米颗粒掺入对CoCrMoW合金组织和耐磨性的影响

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100078

Canjuan Xiao , Wenting Jiang , Yi Huang , Song Ni

{"title":"The effects of TiN nanoparticle incorporation on the microstructure and wear resistance of additively manufactured CoCrMoW alloys","authors":"Canjuan Xiao , Wenting Jiang , Yi Huang , Song Ni","doi":"10.1016/j.smmf.2025.100078","DOIUrl":"10.1016/j.smmf.2025.100078","url":null,"abstract":"<div><div>To enhance the wear resistance of CoCrMoW alloys, this study used laser powder bed fusion (LPBF) to fabricate TiN nanoparticle-incorporated composites. By conducting microstructure characterization and wear resistance testing, the intricate relationship between microstructure and wear behavior was elucidated. The LPBF-fabricated samples presented dual-phase structures comprising face-centered cubic and hexagonal close-packed phases along with numerous stacking faults. The TiN particles were uniformly distributed in the sample with a 1 wt% addition. However, as the additive content increased, the TiN particles grew, and the interparticle spacing correspondingly decreased. Notably, robust interfacial bonding existed between the TiN nanoparticles and the matrix material. The interface between the TiN particles and the matrix displayed a semicoherent nature characterized by a specific orientation relationship: [001] <sub>TiN</sub>//[011]<sub>γ</sub> and (020)<sub>TiN</sub>//(111)<sub>γ</sub>. Compared to the nonincorporated sample, the incorporated samples demonstrated reduced friction coefficients and wear rates. A comparative analysis of the nonincorporated and incorporated samples’ wear behaviors revealed that oxidation wear predominantly characterized the nonincorporated sample, which displayed significant plastic deformation along with fragmented debris and loose oxides. In contrast, the incorporated samples presented relatively smooth wear surfaces where abrasive wear emerged as the primary mechanism. These findings underscore enhancements in tribological properties due to TiN incorporation and offer valuable insights into its fundamental behavior during wear.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100078"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning prediction of surface roughness in sustainable machining of AISI H11 tool steel aisih11工具钢可持续加工中表面粗糙度的机器学习预测

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100075

Balasuadhakar A. , Thirumalai Kumaran S. , Uthayakumar M.

{"title":"Machine learning prediction of surface roughness in sustainable machining of AISI H11 tool steel","authors":"Balasuadhakar A. , Thirumalai Kumaran S. , Uthayakumar M.","doi":"10.1016/j.smmf.2025.100075","DOIUrl":"10.1016/j.smmf.2025.100075","url":null,"abstract":"<div><div>Surface roughness prediction ensures high product quality, boosts manufacturing efficiency, and aids in effective tool life management. In this study, surface roughness optimization and prediction in the end milling of AISI H11 die steel were examined under three cooling conditions: dry milling, Minimum Quantity Lubrication (MQL), and Nano Fluid Minimum Quantity Lubrication (NMQL). The experiments were designed using a Taguchi L27 orthogonal array, with cutting speed, feed, and cooling environments as the variables. Surface roughness, the performance output parameter, was analyzed through Taguchi Signal-to-Noise (S/N) analysis. The dataset's diversity and robustness were further enhanced using the Gaussian Data Augmentation (GDA) technique, ensuring improved predictive accuracy of the Machine Learning (ML) models. Advanced machine ML models, including Decision Tree(DT), XGBoost (XGB), Support Vector Regression (SVR), CATBoost, AdaBoost Regression (ABR), and Random Forest Regression (RFR), were developed, with hyperparameters optimized using Grid Search Cross Validation. The ideal cutting parameters were identified as a cutting speed of 40 m/min, a feed rate of 0.01 mm/rev, and utilization of the NMQL cooling environment. The ML models, including DT, ABR, RFR, and CATBoost, demonstrate exceptional performance by achieving accuracy rates above 90 % and determinant coefficient (R<sup>2</sup>) greater than 0.9. Remarkably, the CATBoost model exhibited heightened precision, boasting 90.8 % accuracy, a R<sup>2</sup> of 0.94, a mean absolute error (MAE) of 0.05, a mean squared error (MSE) of 0.005, a root mean squared error (RMSE) of 0.07, and a mean absolute percentage error (MAPE) of 9.17.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bioactive and fatigue-resistant Ti–Ta alloy by additive manufacturing for orthopedic applications 生物活性和抗疲劳的钛合金增材制造矫形应用

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100086

Qian Liu , Yiming Zhang , Wenliang Chen , Peidong He , Ye Tian , Yang Liu , Yiming Dou , Hanming Bian , Jingzhou Yang , Qiang Yang , Xiaopeng Li

{"title":"Bioactive and fatigue-resistant Ti–Ta alloy by additive manufacturing for orthopedic applications","authors":"Qian Liu , Yiming Zhang , Wenliang Chen , Peidong He , Ye Tian , Yang Liu , Yiming Dou , Hanming Bian , Jingzhou Yang , Qiang Yang , Xiaopeng Li","doi":"10.1016/j.smmf.2025.100086","DOIUrl":"10.1016/j.smmf.2025.100086","url":null,"abstract":"<div><div>Despite advancements, metallic materials for load-bearing medical applications still face ongoing challenges. Titanium (Ti) and tantalum (Ta) are widely used due to their mechanical and biological properties, but both have limitations: Ta is highly bioactive but heavy and expensive, while Ti is lightweight but less bioactive. Metal additive manufacturing (AM) offers a new pathway for the design of porous metallic biomaterials. This study developed a 50 wt% Ti–Ta alloy for orthopedic implants using in situ alloying capability from laser powder bed fusion (LPBF) AM to combine Ti's lightweight with Ta's bioactivity. Extensive evaluations, including fatigue testing, wettability analysis, and in vitro and in vivo biocompatibility assessments, revealed the superior fatigue and biocompatibility performance of LPBF-fabricated Ti–Ta alloys compared to pure Ti. The alloy demonstrated exceptional fatigue resistance, enduring up to 10<sup>5</sup> cycles at 110 % of yield strength, and achieved a 40 % bone–implant contact rate 12 weeks after implantation in rabbit femurs. For the first time, this study uncovered the critical influence of LPBF process parameters (i.e., laser power and scan speed) on the microstructures, mechanical properties, and biocompatibility of Ti–Ta alloys. These findings validate LPBF's capability to produce bioactive, mechanically robust Ti–Ta scaffolds, underscoring their potential for advanced orthopedic applications.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143885999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solving the strength-ductility trade-off using complex concentrated alloy design strategy: An overview 用复杂的集中合金设计策略解决强度-延性权衡：综述

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100091

Desmond Klenam , Olufemi Bamisaye , Tabiri Asumadu , Michael Bodunrin , Winston Soboyejo

{"title":"Solving the strength-ductility trade-off using complex concentrated alloy design strategy: An overview","authors":"Desmond Klenam , Olufemi Bamisaye , Tabiri Asumadu , Michael Bodunrin , Winston Soboyejo","doi":"10.1016/j.smmf.2025.100091","DOIUrl":"10.1016/j.smmf.2025.100091","url":null,"abstract":"<div><div>This review provides a comprehensive assessment of recent advances in overcoming strength–ductility trade-off in structural alloys through the design of complex concentrated alloys (CCAs) and high entropy alloys (HEAs). It integrates a bibliometric analysis (2014–2024) with a mechanistic evaluation of emerging strategies, emphasizing transition metal-based systems. Findings from over 2,200 publications highlight growing global collaboration, dominant research clusters, and underexplored domains such as TRIP/TWIP effects and interstitial strengthening. Mechanistically, the review consolidates insights into solid solution, grain boundary, dislocation, precipitation, and interstitial strengthening; together with advanced mechanisms including stacking fault engineering, phase metastability, and heterostructural design. Emphasis is placed on the synergistic operation of these mechanisms especially TWIP/TRIP and back-stress hardening, to achieve superior strength–ductility combinations. Distinctions between HEAs and CCAs are clarified, and quantitative contributions of each strengthening mechanism are mapped. The role of hydrogen effects, additive manufacturing, and multi-scale processing in tailoring properties are discussed. By synthesizing bibliometric trends and mechanistic principles, this review establishes a roadmap for future alloy design strategies, offering a robust framework to guide the development of next-generation structural materials with multifunctional performance attributes.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100091"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radiation and EMI shielding of 3D printed lightweight components for neuroimaging devices 用于神经成像设备的3D打印轻量级组件的辐射和EMI屏蔽

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100085

Azadeh Mirabedini , Chris McCrowe , David Welch , Pradip Deb , Toh Yen Pang , Francesca Langenberg , Shieak Tzheng , Sergei Obruchkov , Stephen Davis , Geoffrey Donnan , Kate Fox

{"title":"Radiation and EMI shielding of 3D printed lightweight components for neuroimaging devices","authors":"Azadeh Mirabedini , Chris McCrowe , David Welch , Pradip Deb , Toh Yen Pang , Francesca Langenberg , Shieak Tzheng , Sergei Obruchkov , Stephen Davis , Geoffrey Donnan , Kate Fox","doi":"10.1016/j.smmf.2025.100085","DOIUrl":"10.1016/j.smmf.2025.100085","url":null,"abstract":"<div><div>The growing demand for miniaturized diagnostic neuroimaging devices, alongside the widespread use of electronics, presents an opportunity to develop lightweight, durable and non-toxic alternative shielding components. This study investigates lightweight shielding solutions for ultraportable neuroimaging toolkit devices for stroke detection, evaluating electromagnetic interference (EMI) and X-ray shielding properties of two commercially available conductive filaments: Koltron G1 and Fili Conductivo. The EMI shielding effectiveness (SE) of 3D-printed specimens with varying thicknesses was assessed across a broad frequency range from 10 MHz to 12 GHz, covering Ultra High Frequency (UHF), S-band, C-band, and X-band frequencies. Both materials demonstrated increased SE with thickness, with Koltron achieving a 102 % increase from 1 mm to 4 mm in the 10 MHz to 8.5 GHz range and up to ∼28.5 dB attenuation at lower frequencies. In the X-band, both performed similarly, averaging over 29 dB SE, with less variability in Koltron. X-ray shielding tests confirmed their effectiveness, with Koltron showing ∼65.5 % of lead's shielding performance when normalized for density. These results, combined with the lower weight and ease of processing of conductive thermoplastics compared to traditional metallic shielding materials, highlight their potential as flexible, lightweight, and non-toxic alternatives for enhancing the portability and efficiency of neuroimaging technologies, particularly in environments where conventional shielding methods are impractical, aiming to improve patient outcomes.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Self-lubrication and enhanced wear and corrosion resistance of calcium silicate hydrate nanostructures on Ti-based micro-arc oxidized coatings 水化硅酸钙纳米结构在ti基微弧氧化涂层上的自润滑和增强的耐磨损和耐腐蚀性能

Smart Materials in Manufacturing Pub Date : 2025-01-01 DOI: 10.1016/j.smmf.2025.100081

Xinjie Dai , Jingyi He , Yisong Chen , Ao Fu , Wei Zhang , Qianli Huang

{"title":"Self-lubrication and enhanced wear and corrosion resistance of calcium silicate hydrate nanostructures on Ti-based micro-arc oxidized coatings","authors":"Xinjie Dai , Jingyi He , Yisong Chen , Ao Fu , Wei Zhang , Qianli Huang","doi":"10.1016/j.smmf.2025.100081","DOIUrl":"10.1016/j.smmf.2025.100081","url":null,"abstract":"<div><div>Nanostructured coatings for titanium (Ti)-based implants are well-known for their biological properties; however, they are highly fragile in service. The debris generated by wear and coating destruction can lead to chronic inflammatory response, bone resorption, and, consequently, implant loosening. Therefore, the development of highly wear-resistant micro/nanostructured coatings is essential for the long-term service stability of Ti-based implants. In this study, calcium silicate hydrate nanostructures (CSHNs) were generated on micro-arc oxidation (MAO)-treated Ti surfaces via hydrothermal treatment (HT). Owing to the layered crystal feature of the CSHNs, as-prepared micro/nanostructured coatings exhibit typical self-lubricating performance under dry-sliding conditions, with their coefficients of friction measured to be ≤ 0.2. Meanwhile, the appropriate growth of CSHNs on MAO coatings is beneficial for reduced wear rate and enhanced corrosion resistance due to self-lubrication and increased coating crystallinity, respectively. However, in turn, the overgrowth of CSHNs with prolonged HT duration can compromise the wear and corrosion resistance owing to the potential risk of crack formation on MAO coatings. Overall, the results indicate that CSHNs are potential nanostructures for MAO coatings to achieve self-lubrication as well as enhanced wear and corrosion resistance.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100081"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143823992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0