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Kinetics Analysis of Methylcyclohexane Dehydrogenation over Se-Modified Pt/TiO 2 Catalysts Se 改性 Pt/TiO 2 催化剂上的甲基环己烷脱氢动力学分析
IF 0.8 4区 工程技术 Q3 Chemistry Pub Date : 2024-02-01 DOI: 10.1080/00219592.2023.2301533
Kazumasa Oshima, Hiroya Ito, Tsuyoshi Yamamoto, Masahiro Kishida
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引用次数: 0
Kinetics Analysis of Methylcyclohexane Dehydrogenation over Se-Modified Pt/TiO 2 Catalysts Se 改性 Pt/TiO 2 催化剂上的甲基环己烷脱氢动力学分析
IF 0.8 4区 工程技术 Q3 Chemistry Pub Date : 2024-02-01 DOI: 10.1080/00219592.2023.2301533
Kazumasa Oshima, Hiroya Ito, Tsuyoshi Yamamoto, Masahiro Kishida
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引用次数: 0
Prediction of Energy Concentration during Microwave Heating with a Thermal Diffusion Dimensionless Number 利用热扩散无量纲数预测微波加热过程中的能量浓度
IF 0.8 4区 工程技术 Q3 Chemistry Pub Date : 2024-01-17 DOI: 10.1080/00219592.2023.2287137
Y. Asakuma, Ryohei Yakata, A. Hyde, Chi Phan
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引用次数: 0
Catalytic Performance of Solid Base Na-ZrO 2 in Subcritical Water 固体碱 Na-ZrO 2 在亚临界水中的催化性能
IF 0.8 4区 工程技术 Q3 Chemistry Pub Date : 2023-12-14 DOI: 10.1080/00219592.2023.2293044
Yiqi Wang, Yoshito Oshima, M. Akizuki
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引用次数: 0
Consideration on Accuracy of Numerical Analysis of Solid–Gas Two-Phase Flow with Reaction Using Energy Conservation Equation with Temperature as a Variable 使用以温度为变量的能量守恒方程对带有反应的固气两相流进行数值分析的精度考量
IF 0.8 4区 工程技术 Q3 Chemistry Pub Date : 2023-11-30 DOI: 10.1080/00219592.2023.2284176
Yuya Ono, Yoshiya Matsukawa, Y. Matsushita, Hideyuki Aoki
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引用次数: 0
Evaluation of Solid–Liquid Equilibria for Ternary Pharmaceutical Compound + Water + Cyclodextrin or Its Derivative Systems with Wilson and Modified Chrastil Models 用 Wilson 模型和修正的 Chrastil 模型评估 "三元药物化合物 + 水 + 环糊精或其衍生物体系 "的固液平衡关系
IF 0.8 4区 工程技术 Q3 Chemistry Pub Date : 2023-11-29 DOI: 10.1080/00219592.2023.2285859
Hiroyuki Matsuda, Kiyofumi Kurihara, K. Tochigi
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引用次数: 0
Synthesis of Amphiphilic Triblock Copolymers by ATRP and Coalescence Suppression Effect in Suspension Polymerization ATRP法合成两亲性三嵌段共聚物及其悬浮聚合抑制聚结作用
4区 工程技术 Q3 Chemistry Pub Date : 2023-11-08 DOI: 10.1080/00219592.2023.2276424
Eri Fujita, Kosuke Kaneko, Tsubasa Oshima, Daiki Fujioka, Kimiyoshi Kaneko, Kiyomi Fuchigami, Tomonori Hanasaki
In this study, the role of amphiphilic triblock copolymers in suppressing the coalescence of the polymers obtained by suspension polymerization was systematically investigated through the preparation of polymer beads using a common monomer (methyl methacrylate). First, a series of amphiphilic triblock copolymers (PAA-b-PS-b-PAA) were synthesized by atom transfer radical polymerization (ATRP). After synthesizing macroinitiators (PS), the corresponding amphiphilic triblock copolymers were prepared with varied numbers of hydrophobic and hydrophilic units. Subsequently, suspension polymerization was conducted to synthesize polymer beads using the obtained amphiphilic triblock copolymers as polymeric surfactants. We clarified the role of the amphiphilic triblock copolymers in suppressing coalescence of each bead, by observing the size of the monomer droplets prior to suspension polymerization and that of the resulting polymer beads with a microscope.
在本研究中,通过使用常见单体(甲基丙烯酸甲酯)制备聚合物珠,系统地研究了两亲性三嵌段共聚物在抑制悬浮聚合得到的聚合物聚结中的作用。首先,通过原子转移自由基聚合(ATRP)合成了一系列两亲性三嵌段共聚物(PAA-b-PS-b-PAA)。合成大引发剂(PS)后,制备了具有不同数目的疏水和亲水单元的两亲性三嵌段共聚物。随后,以得到的两亲性三嵌段共聚物为聚合物表面活性剂,进行悬浮聚合合成聚合物珠。通过在悬浮聚合之前观察单体液滴的大小以及用显微镜观察所得聚合物珠的大小,我们澄清了两亲性三嵌段共聚物在抑制每个珠聚结中的作用。
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引用次数: 0
Extraction of Organic Acids with Hydrophobic Eutectic Mixtures Containing Terpenoids and Decanoic Acid 含萜类和癸酸的疏水共晶混合物萃取有机酸
4区 工程技术 Q3 Chemistry Pub Date : 2023-11-08 DOI: 10.1080/00219592.2023.2277827
Michiaki Matsumoto, Makoto Ueda, Yoshiro Tahara
In this study, we prepared eutectic mixtures containing decanoic acid as the hydrophobic hydrogen bonding donor, a lidocaine analog, and quaternary ammonium salt or terpenoid as the hydrophobic hydrogen bonding acceptor. The eutectic mixtures containing terpenoids, especially menthone, had very low viscosities. A series of monocarboxylic and dicarboxylic acid extractions were performed with the eutectic mixtures. The extractability of aliphatic monocarboxylic and dicarboxylic acids with eutectic mixtures containing terpenoids and decanoic acid was proportional to the hydrophobicities of their carboxylic acids. However, lactic acid was more extracted than acetic acid in a menthol-based eutectic mixture, even though lactic acid, a hydroxycarboxylic acid, is more hydrophilic than acetic acid, an aliphatic carboxylic acid.
在本研究中,我们制备了以癸酸为疏水氢键供体,利多卡因类似物,季铵盐或萜类为疏水氢键受体的共晶混合物。含有萜类化合物,特别是薄荷酮的共晶混合物粘度很低。用共晶混合物进行了一系列的一元酸和二羧酸萃取。含有萜类和癸酸的共晶混合物对脂肪族单羧酸和二羧酸的可提取率与其羧酸的疏水性成正比。然而,在以薄荷醇为基础的共晶混合物中,乳酸比乙酸更容易被提取,尽管乳酸是一种羟基羧酸,比乙酸是一种脂肪族羧酸更亲水。
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引用次数: 0
Development of Ni Nanoparticle Encapsulated with Silicalite-1 Catalyst for High Activity Steam Reforming of Bioethanol with High Sintering Resistance and Coke Suppression 高抗烧结性、高抑焦性生物乙醇高效蒸汽重整催化剂包覆Ni纳米颗粒的研制
4区 工程技术 Q3 Chemistry Pub Date : 2023-10-18 DOI: 10.1080/00219592.2023.2269226
Sirintra Arayawate, Tsuki Yokosawa, Kentaro Kimura, Hiroyasu Fujitsuka, Teruoki Tago
Steam reforming of bioethanol is a potential reaction for H2 production. The development of active Ni catalysts with sintering resistance, coking resistance and thermal stability is indispensable for practical application. In this study, the encapsulation structure of Ni nanoparticles inside Silicalite-1 was proposed as a catalyst (Ni@Silicalite-1). The catalyst was prepared by hydrothermal synthesis using Ni-phyllosilicate as a Ni precursor. An investigation of catalytic activity was conducted at 500–800 °C, along with an investigation of catalyst properties, including surface morphology, Ni properties, and coke formation on the spent catalysts, compared to a conventional Ni/Silicalite-1. Ni@Silicalite-1 exhibits a higher ethanol conversion, hydrogen production, and selectivity towards C1 products. Especially in a kinetic control condition (500–600 °C), Ni@Silicalite-1 exhibits 46.8% in ethanol conversion at 500 °C and two times higher in C2-to-C1 conversion at 600 °C than that of Ni/Silicalite-1. Moreover, a significant coke suppression of 2–5 times reduction form that of impregnation catalyst is obtained for Ni@Silicalite-1 in various reaction temperatures. It also shows a sintering resistance as maintaining the Ni size at 4.0–4.1 nm after ESR at high temperature (800 °C 4 h). Therefore, the encapsulation structure of ultrafine Ni nanoparticles inside Silicalite-1 is promising for bioethanol steam reforming.
生物乙醇的蒸汽重整是一种潜在的制氢反应。开发具有抗烧结、抗结焦和热稳定性的活性镍催化剂是实际应用中不可缺少的。在本研究中,提出了Ni纳米颗粒在Silicalite-1内部的封装结构作为催化剂(Ni@Silicalite-1)。采用水热合成法,以叶状硅酸镍为Ni前驱体制备了该催化剂。在500-800°C的条件下进行了催化活性的研究,并研究了催化剂的性能,包括表面形貌、Ni性能和废催化剂上的焦炭形成情况,与传统的Ni/Silicalite-1进行了比较。Ni@Silicalite-1具有较高的乙醇转化率、产氢率和对C1产物的选择性。特别是在动力学控制条件下(500 - 600℃),Ni@Silicalite-1在500℃下乙醇转化率为46.8%,在600℃下co2到c1的转化率是Ni/Silicalite-1的两倍。此外,在不同的反应温度下,Ni@Silicalite-1的焦炭抑制效果是浸渍催化剂的2-5倍。在高温下(800°C 4 h) ESR后,其Ni尺寸保持在4.0-4.1 nm,具有良好的抗烧结性能。因此,硅石-1内部的超细Ni纳米颗粒封装结构在生物乙醇蒸汽重整中具有良好的应用前景。
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引用次数: 0
Fast Prediction of Heat Flux Distribution in Boilers Using Computational Fluid Dynamics Simulation Data via Multi-Extreme Learning Machines 基于多极限学习机的计算流体力学模拟数据快速预测锅炉热流密度分布
4区 工程技术 Q3 Chemistry Pub Date : 2023-10-04 DOI: 10.1080/00219592.2023.2260416
Zhenhao Tang, Yuan Yang, Luyin Pan, Mengxuan Sui, Shengxian Cao
The heat transfer and hydrodynamic safety of the water-cooled wall in coal-fired boilers are important guarantees for the safe and stable operation of thermal power units. In recent years, influenced by coal quality changes and load fluctuation, the ash deposition and slagging of the water wall and the fluctuation of heat load bring great challenges to the furnace heat transfer safety. It is urgent to monitor the heat flux distribution of the water-cooled wall in the furnace to ensure the safety of the heating surface. In this study, a calculation method for heat flux distribution of 350 MW boiler based on computational fluid dynamics (CFD) and extreme learning machine (ELM) is proposed. First, 120 typical operating conditions in boiler were simulated using ANSYS Fluent to characterize heat flux distribution. Next, to circumvent the high computational cost of CFD simulations, a heat flux distribution prediction model based on multi-ELM was developed by integrating the simulation data and the actual operating parameters of the boiler. Two parameters, namely, separated over-fire air (SOFA) damper opening and main burner secondary air damper opening, were applied to divide the 120 operating conditions into six categories, and use K-means algorithm to find the central operating condition of each category. In each category, the heat flux data of a specific operating condition were randomly selected as the verification set, and the validity of the heat flux distribution prediction models was verified. Finally, the prediction models of heat flux distribution based on multi-ELM were compared with the prediction models based on four contemporary neural network algorithms. Results showed that for the multi-ELM model, the prediction error was <10%, showing that it can accurately predict the heat flux distribution of a boiler and provide guidance for the regulation of the actual production process.
燃煤锅炉水冷壁的传热和水动力安全是火电机组安全稳定运行的重要保证。近年来,受煤质变化和负荷波动的影响,水壁结灰结渣和热负荷波动给炉膛传热安全带来了很大的挑战。监测炉内水冷壁热流密度分布,确保受热面安全是当务之急。提出了一种基于计算流体力学(CFD)和极限学习机(ELM)的350mw锅炉热流密度分布计算方法。首先,利用ANSYS Fluent软件对锅炉120种典型工况进行模拟,表征热流密度分布。其次,针对CFD模拟计算成本高的问题,将模拟数据与锅炉实际运行参数相结合,建立了基于多elm的热流密度分布预测模型。利用SOFA风门开度和主燃烧器二次风门开度两个参数,将120种工况划分为6类,并利用K-means算法求出每一类工况的中心工况。在每个类别中,随机选取特定工况的热流密度数据作为验证集,验证热流密度分布预测模型的有效性。最后,将基于多重elm的热流密度分布预测模型与基于四种现代神经网络算法的预测模型进行了比较。结果表明,对于多elm模型,预测误差<10%,表明该模型能够准确预测锅炉热流密度分布,为实际生产过程的调节提供指导。
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Journal of Chemical Engineering of Japan
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