3D-monoclinic M–BTC MOF (M = Mn, Co, Ni) as highly efficient catalysts for chemical fixation of CO2 into cyclic carbonates

Yuanfeng Wu,Xianghai Song,Shuai Li,Jiahui Zhang,Xinghui Yang,Pengxin Shen,Lijing Gao,Ruiping Wei,Jin Zhang,Guomin Xiao 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.58 No.-

[(CH3)2NH2][M3(BTC)(HCOO)4(H2O)].H2O (M–BTC, M = Mn, Ni, Co) were prepared under hydrothermal conditions and used as highly efficient catalysts for cycloaddition of CO2 with epichlorohydrin (ECH). The microstructure and physicochemical properties of the compounds were determined by PXRD, FT-IR, XPS, N2-adsorption, TG–DSC, NH3–TPD and CO2–TPD. 98.01% conversion of ECH and 96.05% selectivity to chloropropene carbonate was obtained over the Mn–BTC under the optimized reaction conditions (105 °C, 3.0 MPa, 9 h, 1.5 wt.% of ECH). Besides, the recyclability result exhibited the Mn–BTC compound can be utilized as least three times with a slight reduction in its catalytic ability. In addition, cycloaddition of CO2 with other epoxides and DFT calculation were also performed. The result exhibited the yield followed the order: ECH > 1, 2-epoxybutane > propene oxide > Allyl glycidyl ether, which was mainly determined by the energy of reaction.

An optimization method for vibration suppression and energy dissipation of an axially moving string with hybrid nonclassical boundaries

Yuanfeng Wu,Enwei Chen,Neil S Ferguson,Yuteng He,Haozheng Wei,Yimin Lu 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.3

The axially moving string model is widely used in engineering applications and is of great significance in research. To suppress transverse vibration and facilitate energy dissipation of the axially moving string with nonclassical boundaries, a bi-objective optimization model and methodology are proposed for its boundary parameters’ design. First, an approximate numerical model for an axially moving string with a nonclassical boundary is established, which is based on the finite element method (FEM) and Newmark-beta method. Then, a biobjective model is proposed, including the average transverse vibration and the average system energy in a single traveling wave period, and a particle swarm optimization (BOPSO) algorithm is established for optimization. Finally, the proposed optimization model is applied in a numerical example, and the results are compared with NSGA-II, a multi-objective cuckoo search algorithm (MOCSA), and multi-objective flower pollination algorithm (MOFPA) to verify the feasibility of the proposed methodology.

CNN-based damage identification method of tied-arch bridge using spatial-spectral information

Yuanfeng Duan,Qianyi Chen,Hongmei Zhang,Chung Bang Yun,Sikai Wu,Qi Zhu 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.23 No.5

In the structural health monitoring field, damage detection has been commonly carried out based on the structural model and the engineering features related to the model. However, the extracted features are often subjected to various errors, which makes the pattern recognition for damage detection still challenging. In this study, an automated damage identification method is presented for hanger cables in a tied-arch bridge using a convolutional neural network (CNN). Raw measurement data for Fourier amplitude spectra (FAS) of acceleration responses are used without a complex data pre-processing for modal identification. A CNN is a kind of deep neural network that typically consists of convolution, pooling, and fully-connected layers. A numerical simulation study was performed for multiple damage detection in the hangers using ambient wind vibration data on the bridge deck. The results show that the current CNN using FAS data performs better under various damage states than the CNN using time-history data and the traditional neural network using FAS. Robustness of the present CNN has been proven under various observational noise levels and wind speeds.

A comparison of volatile fractions obtained from Lonicera macranthoides via different extraction processes: ultrasound, microwave, Soxhlet extraction, hydrodistillation, and cold maceration

Chun Wu,Feng Wang,Jiang Liu,Yuanfeng Zou,Xingfu Chen 한국한의학연구원 2015 Integrative Medicine Research Vol.4 No.3

Background: Hydrodistillation has been traditionally used to extract volatile fraction in traditional Chinese medicine. However, with the development of Soxhlet extraction (SE), microwave (MW), ultrasound (US), and cold maceration (CM), hydrodistillation (HD) is being replaced to meet some practical requirements. In this study, we investigated the effect of the five methods on the volatile fraction extract of Lonicera macranthoides. Methods: Volatile fraction from the flower buds of Lonicera macranthoides was obtained by using different extraction methods, HD, SE, MW, US, and CM. The compositions of volatile fraction were analyzed by gas chromatography–mass spectrometric and further compared among extraction methods. Results: Extracts obtained by the five methods reveal the qualitative and quantitative diversity in their compositions, especially for the low-content compositions. According to the results, SE shows the great value in the research where the high molecular-mass compound is of primary interest, and MW offers a way for the isolation of specific compound like octadecadienoic acid and hexadecanoic acid. HD, US, and CM have the advantage over SE and MW for the integrity of the constituents, whereas the phenomenon of compound degradation seems not so serious in solvent extraction methods such as US or CM as HD. Additionally, US and CM show superiority over time or material saving and diversity of the constituent. Conclusion: HD is still the best choice for the pure volatile fraction without organic solvent pollution. However, when it comes to some specifically actual demands, it can be replaced by the four methods for the volatile fraction extraction process, especially for production of certain compound groups.

HYERS-ULAM STABILITY OF DERIVATIONS IN FUZZY BANACH SPACE: REVISITED

Gang Lu,Yuanfeng Jin,Gang Wu,Sungsik Yun 한국수학교육학회 2018 純粹 및 應用數學 Vol.25 No.2

Lu et al. [27] dened derivations on fuzzy Banach spaces and fuzzy Lie Banach spaces and proved the Hyers-Ulam stability of derivations on fuzzy Banach spaces and fuzzy Lie Banach spaces. It is easy to show that the denitions of derivations on fuzzy Banach spaces and fuzzy Lie Banach spaces are wrong and so the results of [27] are wrong. Moreover, there are a lot of seroius problems in the statements and the proofs of the results in Sections 2 and 3. In this paper, we correct the denitions of biderivations on fuzzy Banach algebras and fuzzy Lie Banach algebras and the statements of the results in [27], and prove the corrected theorems.

Synergistic photocatalysis of bimetal mixed ZIFs in enhancing degradation of organic pollutants: Experimental and computational studies

Weihao Zhu,Yuanfeng Wu,Guiyun Yi,Xiaoxiao Su,Qiangsheng Pan,Shengbin Shi,Olayinka Oderinde,Guomin Xiao,Chuanxiang Zhang,Yulong Zhang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.119 No.-

The present work is aimed at studying the synergistic catalysis of the bimetal ZIFs containing Co and Znmetal ions prepared by solvothermal method in the degradation of organic pollutants under ambientconditions. The bimetal mixed ZIFs were further characterized by some techniques such as XRD, SEM,TG-DTG, XPS, UV–vis, ESR, and N2-adsorption. Interestingly, the sample prepared with equal metal ions(1Zn:1Co) showed the highest catalytic performance for methylene blue (MB) degradation (94.10 %). Thismay be associated with the interaction between cobalt and zinc within the adjacent lattice, which makethe MB molecule to be easily adsorbed and degraded on empty electron orbit. Furthermore, the highestdegradation of MB was achieved with 98.83 % under the optimized conditions (catalyst weight of 50 mg,pH of 5, 3 h, 30 C). Besides, the various substrates such as methyl orange, indole, rofloxacin, methyl blue,and tetracycline were also investigated under the same conditions. Additionally, the DFT calculationresults suggested the more orbital distribution (LUMO, HOMO) of ZIF(1Zn:1Co) can result to more electronsbeing easily captured, and generate more radicals via electron transfer. Finally, the photocatalyticdegradation of MB is consistent with the first law of kinetics, and the activation energy is 26.797 KJ/molin the presence of ZIF(1Zn:1Co).

A Multi-objective Two-sided Disassembly Line Balancing Optimization Based on Artificial Bee Colony Algorithm: A Case Study of an Automotive Engine

Lei Zhang,Yuanfeng Wu,Xikun Zhao,Shiwen Pan,Ziqi Li,Hong Bao,Yongtin Tian 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.9 No.5

Disassembly is an important part of green manufacturing and remanufacturing. The disassembly line is an optimum form for mass and automatic disassembly in the industry. To optimize the disassembly system and the use of resources, the disassembly line balancing problem (DLBP) has attracted much attention. Compared with the conventional one-sided straight disassembly line, the two-sided disassembly line can use both the left and right sides of a conveyor belt for disassembly operation, thereby improving production efficiency, especially for large-sized and complicated products. On the other hand, due to the constraints and precedence among parts, it is a challenge to plan the disassembly scheme for a two-sided disassembly line. In this paper, a model is established to solve a two-sided disassembly line balancing problem (TDLBP). First, a hybrid graph is utilized to express constraints and precedence relationships, and a novel encoding and decoding method is developed for the disassembly scheme planning of a two-sided line for handling the challenge caused by constraints and precedence among parts. Then, a multi-objective TDLBP optimization model is proposed including the number of matedworkstations, idle time, smoothness index, the auxiliary indicator, and a meta-heuristic based on an artificial bee colony (ABC) algorithm is designed to solve TDLBP. Finally, the proposed model and method are applied to an automotive engine case, and the results are compared with NSGA-II, hybrid artificial bee colony algorithm (HABC), and multi-objective flower pollination algorithm (MOFPA) to verify the practicality of the proposed model in solving the TDLBP.

Water as DES-cosolvent on the morphology tuning and photochromic enhancement of tungsten oxide-molybdenum oxide nanocomposite

Olayinka Oderinde,Imtiaz Hussain,Mengmeng Kang,Yuanfeng Wu,Kalulu Mulenga,Ismaeel Adebayo,Fang Yao,Guodong Fu 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.80 No.-

In this study, we report the utilization of different water contents (0–40 vol.%) as cosolvent to ethaline,ChCl:EG (deep eutectic solvent) at the mole ratio of 1:2 to prepare binary oxide of tungsten oxide-molybdenum oxide nanocomposite in an ambient environment, followed by characterization using XRD,FTIR, SEM, TEM, TGA, XPS and UV–vis spectroscopy. The as-prepared composite composed of aggregatedparticles at low temperature of 60 C, in the crystallite sizes ranging from~48.40 to 71.97 nm, with watercosolvent acting as bad solvent. Further characterizations revealed that the atomic percentage ratios oftungsten and molybdenum components increase with decrease in carbon content as the water contentincreases, while the morphology changes from cubic to prismatic polyhedral-like structures at lowtemperature, in addition to retaining ~73% of its original weight above 700 C. The UV–vis analysisrevealed broad absorption at 239–374 nm with a threshold value of 527 nm and can attain maximumphotochromic response in less 60 s on exposure to UV–vis light irradiation.

A Study on the correlation between the Freshman"s diet patterns and their physical fitness in a Western medical university, China

Haokun Chen,Shumei Zhong,Liuling Wu,Yuanfeng Sha,Qiang Qin,Qi Qi Pang,Jia-Le Song 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10

Understand the dietary conditions of freshmen in a medical university, and explore the correlation between their dietary patterns and physical fitness levels. A dietary frequency survey was carried out among 2125 freshmen to evaluate their nutrient intake. Factor analysis was performed to extract common factors and determine dietary patterns. According to the "National Standards for Students" Physical health", the freshmen were tested for physical fitness, and the correlation analysis was conducted between the results of physical fitness score and dietary patterns. Four dietary patterns were identified by factor analysis, which were healthy dietary pattern (HDP), high fat and high sugar pattern (HFP/HSP), preserved food pattern and trace element pattern (TEP). Spearman rank correlation analysis showed the HDP and TEP were significantly positively correlated with the fitness test scores (r=0.064,0.062, p< 0.01), while the HFP and HSP was significantly negatively correlated (r=-0.057,p<0.01). Our results suggest that a healthy diet was associated with improved physical fitness performance, while a high intake of fatty and sweetened foods was associated with the opposite.

Development of a simple nomogram to estimate risk for intraoperative complications before partial nephrectomy based on the Mayo Adhesive Probability score combined with the RENAL nephrometry score

Xiaojun Tan,Dachun Jin,Jian Hu,Weili Zhang,Yu Zhou,Yunxiang Li,Yuanfeng Zhang,Ji Wu 대한비뇨의학회 2021 Investigative and Clinical Urology Vol.62 No.4

Purpose: This study aimed to develop a simple nomogram based on the Mayo Adhesive Probability (MAP) score combined with the RENAL nephrometry score (RNS) to predict intraoperative complications before partial nephrectomy (PN) in Asian populations. Materials and Methods: This study retrospectively collected patients undergoing PN at three medical centers. Each component of the MAP score and the RNS (6 variables) was evaluated to assess its association with intraoperative complications by multivariable logistic regression with backward elimination. Results: A total of 46 cases (7.2%) with intraoperative complications were identified among 637 patients. After backward elimination, three variables, including tumor diameter (4–7 cm vs. ≤4 cm: odds ratio [OR], 4.339; 95% confidence interval [CI], 1.943–9,692; ≥7 cm vs. ≤4 cm: OR, 8.434; 95% CI, 1.225–58.090), nearness to the collecting system (4–7 mm vs. ≥7 mm: OR, 2.988; 95% CI, 1.293–6.907; ≤4 mm vs. ≥7 mm: OR, 21.394; 95% CI, 6.122–74.756), and perirenal fat stranding type (type 1 vs. no stranding: OR, 3.119; 95% CI, 1.079–9.017; type 2 vs. no stranding: OR, 18.722; 95% CI, 6.757–51.868), were retained. The predictive power (measured by area under the curve [AUC]) of the nomogram was observed to be superior to the RNS or MAP score alone (RNS: 0.686, MAP score: 0.729, the nomogram: 0.837), but comparable to their combination (0.813). Conclusions: The simple nomogram contains fewer components than the combination of the RNS and MAP scores yet demonstrates equivalent predictive power for intraoperative complications.