PROGRESS IN ORGANIC COATINGS
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2019
·
IF 3.42
Tong Liu,Yu Liu,Yuwei Ye,Jingyu Li,Feng Yang,Haichao Zhao,Liping Wang
In this study, a self-healing epoxy coating containing tetraaniline modified α-Fe 2 O 3 (TAFe) was prepared for corrosion protection of Q235 steel. The TAFe particles were synthesized using bio-inspired catechol chemistry and the evaluation of the corrosion resistant benefits of TAFe as additive in the epoxy coating were conducted. The time-dependent corrosion protective ability of the epoxy composite coating containing TAFe applied on Q235 carbon steel were characterized by electrochemical techniques such as EIS and LEIM. Characterization of corrosion layer was done by SEM and XRD after removing coatings after 70 days of immersion in 3.5 wt% NaCl solution. Findings of corrosion measurements confirmed the existence of a small amount TAFe (0.7 wt%) resulted in improvement of corrosion protective properties of steel during corrosion process compared with neat epoxy coating and the coating with 0.7 wt% non-modified Fe 2 O 3 . Moreover, surface techniques showed compact passivated iron oxide layer beneath the coatings and presence of different metallic oxide phases for coatings. The corrosion protective enhancement of composite coating could be ascribed to electroactive function of tetraaniline layer on α-Fe 2 O 3 .
研究领域:
材料科学
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腐蚀与防护
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产品关联
DOI
高影响因子
ENVIRONMENT INTERNATIONAL
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2019
·
IF 7.943
Si-yuan Wang,Xue-yuan Yang,Hui-shan Meng,Yan-chen Zhang,Xiu-yan Li,Juan Xu
Three-dimensional biofilm electrode reactors (3D-BERs) represent a novel technology for wastewater denitrification. Formation of mature electroactive biofilm on particle electrodes is crucial to realize successful denitrification in 3D-BERs. However, long start-up time and low electroactivity of the biofilm formed on particle electrodes limit the further application of 3D-BERs in wastewater treatment. In this work, self-assembled hybrid biofilms (SAHB) was cultivated on granular activate carbon particle electrodes of the 3D-BER by assembling nano ɑ-Fe 2 O 3 into the biofilm. ɑ-Fe 2 O 3 was selected due to its high affinity to bacterial outer-membrane cytochromes, an important mediator for microbial electron transfer. SAHB formed on particle electrodes were characterized and the denitrification performance of 3D-BERs was also investigated. Results indicate that nano ɑ-Fe 2 O 3 plays positive roles in the start-up of 3D-BER, which captures more microbes into SAHB and constructs thick biofilm on particle electrodes. Special microorganisms with denitrification function related with genera of Hydrogenophaga and Opitutus are distinctively enriched in SAHB. Nano ɑ-Fe 2 O 3 induced SAHB exhibit superior denitrification performance compared to natural biofilm. The average denitrification rate increases from 0.62 mg total nitrogen/L/h for natural biofilm to 1.73 mg total nitrogen/L/h for SAHB, mainly ascribed to accelerated nitrites reduction. Our work provides new technical solution to enhance nitrates removal in 3D-BERs and brings deep insights into application of bio-electrochemical system in wastewater treatment.
研究领域:
环境工程
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微生物学
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废水处理
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DOI
高影响因子
JOURNAL OF APPLIED POLYMER SCIENCE
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2015
·Vol. 132
·期 32
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IF 1.768
Li-chao Liu,Mang Lu,Zhao-Hui Hou,Guo-Xiang Wang,Chang-An Yang,En-Xiang Liang,Hu Wu,Xian-Lei Li,Yi-Xue Xu
Photo-induced atom transfer radical polymerization (ATRP) of methyl methacrylate (MMA) was achieved in poly(ethylene glycol)-400 with nanosized α-Fe 2 O 3 as photoinitiator. Well-defined poly(methyl methacrylate) (PMMA) was synthesized in conjunction with ethyl 2-bromoisobutyrate (EBiB) as ATRP initiator and FeCl 3 ·6H 2 O/Triphenylphosphine (PPh 3 ) as complex catalyst. The photo-induced polymerization of MMA proceeded in a controlled/living fashion. The polymerization followed first-order kinetics. The obtained PMMA had moderately controlled number-average molecular weights in accordance with the theoretical number-average molecular weights, as well as narrow molecular weight distributions ( M w / M n ). In addition, the polymerization could be well controlled by periodic light-on–off processes. The resulting PMMA was characterized by 1 H nuclear magnetic resonance and gel permeation chromatography. The brominated PMMA was used further as macroinitiator in the chain-extension with MMA to verify the living nature of photo-induced ATRP of MMA. © 2015 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015 , 132 , 42389.
研究领域:
高分子化学
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材料科学
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产品关联
DOI
高影响因子
Gels
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2025
·Vol. 11
·期 9
·744
·
IF 5.3
Wenhe Liu,Xuhui Wu,Mengmeng Yang,Yuhan Huang,Zhanyang Xu,Mingze Yao,Yikui Bai,Feng Zhang
In the design of gel phase change composite wall materials for solar greenhouses, the alteration of material composition could directly affect the thermal performance of gel phase change composite wall materials. In order to obtain better suitable gel phasechange composite wall material for solar greenhouses, Na2HPO4·12H2O-based gel phasechange materials with different content of ingredient (Na2SiO3·9H2O, C35H49O29, KCl, and nano-α-Fe2O3) were obtained via the Taguchi method and machine learning algorithms, such as Support Vector Regression (SVR), Random Forest (RF), and Gradient Boosting Trees (GBDT). The result shows that the GBDT is more suitable for the thermal performance optimization prediction of gel phase change composite wall materials, including time cooling (TC), latent heat of phase change (ΔHm), supercooling degree (ΔT), and phase change temperature (Tm). The determination coefficient (R2) of time cooling (TC), latent heat of phase change (ΔHm), supercooling degree (ΔT), and phase change temperature (Tm) by GBDT are 0.9987, 0.99965, 1, and 0.9995, respectively. The mean absolute error (MAE) coefficient percentage of supercooling degree (ΔT), phase change temperature (Tm), latent heat of phase change (ΔHm), and time of cooling (TC) by GBDT are 0.32%, 0.25%, 0.17%, and 0.26%, respectively. The root mean square error (RMSE) of supercooling degree (ΔT), phase change temperature (Tm), latent heat of phase change (ΔHm), and time of cooling (TC) by GBDT are 0.41%, 0.32%, 0.19%, and 0.35%, respectively. The optimal result predicted by GBDT is Na2HPO4·12H2O + 5% Na2SiO3·9H2O + 12% KCl + 0.2% Nano-α-Fe2O3+ 3% C35H49O29, which was verified by experiments.
研究领域:
可再生能源
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建筑节能
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相变材料
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机器学习应用
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热能存储
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温室技术
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）