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Optimization methods for plastics management supply chain design 塑料管理供应链设计的优化方法
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-17 DOI: 10.1002/aic.18464
Shuheng Wang, Christos T. Maravelias
This article introduces three mixed integer programming (MIP) models to address a network design problem for mixed plastic waste (MPW) supply chains. By tracking waste compositions throughout the supply chain, the models optimize the technologies needed to process MPW. The three models adopt different approaches to preserve composition information in the supply chain. We also remark on how to improve solution times with additional constraints, and how the models can be easily modified to handle larger‐scale problems. The proposed models provide an approach for examining emerging MPW recycling technologies that may be more sensitive to input composition, as well as determining the extent to which advanced sorting is useful.
本文介绍了三种混合整数编程(MIP)模型,以解决混合塑料废物(MPW)供应链的网络设计问题。通过跟踪整个供应链中的废物成分,这些模型优化了处理 MPW 所需的技术。这三种模型采用了不同的方法来保存供应链中的成分信息。我们还讨论了如何利用额外的约束条件缩短求解时间,以及如何轻松修改模型以处理更大规模的问题。所提出的模型为研究可能对输入成分更敏感的新兴强积木回收技术以及确定先进分拣的有用程度提供了一种方法。
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引用次数: 0
De-carboxylation of cross-linkable triptycene-based polyimides for CO2 separation 用于二氧化碳分离的可交联三庚烯基聚酰亚胺的脱羧反应
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-15 DOI: 10.1002/aic.18471
Xiaoyu Wang, Fangxu Fan, Yongchao Sun, Jingfa Zhang, Canghai Ma, Gaohong He
Polymer-based membrane technology holds immense promise for CO2 separation. However, it faces persistent challenges, including the high CO2 pressure-induced plasticization and permeability-selectivity trade-offs, which significantly hinder the development of polymeric membranes. To tackle this issue, we synthesized a novel polyimide 6FDA-DAT:DABA(6FDD) containing triptycene and carboxylic groups. Upon de-carboxylation induced cross-linking, the membrane demonstrated a simultaneous enhancement of gas permeability and selectivity. Specifically, compared to the uncross-linked 6FDD, the 400°C-24 h cross-linked membrane exhibited a remarkable increase in CO2 permeability by 177% (93.1 Barrer) and a significant rise in CO2/CH4 selectivity by 47% (57.5), reaching the CO2/CH4 upper bound. More importantly, the cross-linked membrane displayed vastly improved CO2 plasticization resistance, withstanding up to 42 bar of CO2 feed pressure. The design of decarboxylated cross-linked membranes in this work paves the way for creating high-performing and plasticization-resistant membranes with potential applications in high-pressure CO2 separations.
基于聚合物的膜技术在二氧化碳分离方面前景广阔。然而,它面临着持续的挑战,包括高二氧化碳压力引起的塑化和渗透性-选择性权衡,这极大地阻碍了聚合物膜的发展。为了解决这个问题,我们合成了一种含有三庚烯和羧基的新型聚酰亚胺 6FDA-DAT:DABA(6FDD)。脱羧交联后,膜的气体渗透性和选择性同时增强。具体来说,与未交联的 6FDD 相比,400°C-24 小时交联膜的二氧化碳渗透性显著提高了 177% (93.1 巴雷尔),二氧化碳/四氯化碳选择性显著提高了 47% (57.5),达到了二氧化碳/四氯化碳的上限。更重要的是,交联膜的抗二氧化碳塑化能力大大提高,可承受高达 42 巴的二氧化碳进料压力。这项工作中脱羧交联膜的设计为创造高性能和抗塑化膜铺平了道路,有望应用于高压二氧化碳分离。
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引用次数: 0
Process safety 4.0: Artificial intelligence or intelligence augmentation for safer process operation? 工艺安全 4.0:人工智能或智能增强技术如何实现更安全的工艺操作?
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-15 DOI: 10.1002/aic.18475
Rajeevan Arunthavanathan, Zaman Sajid, Md. Tanjin Amin, Yuhe Tian, Faisal Khan, Efstratios Pistikopoulos

The growth of artificial intelligence (AI) has allowed industries to automate and improve their efficiency in operations. Especially in process industries, AI helps to develop intelligent models and tools to proactively monitor and predict equipment or system failures, minimize downtime, and optimize maintenance schedules. With the advancements in AI and its ability to perform tasks, there is a growing belief that AI may eventually replace humans. However, the absence of human involvement in operations in the process industry raises safety concerns. Therefore, AI should collaborate with humans rather than replace them in processing facility operations. This technology is referred to as intelligence augmentation (IA). This article (i) presents a detailed comparison between AI and IA's potential in process systems, (ii) identifies the feasibility of using AI and IA in process safety, and (iii) identifies the risk associated with the implementation of AI or IA in process industries.

人工智能(AI)的发展使各行各业得以实现自动化并提高运营效率。特别是在流程行业,人工智能有助于开发智能模型和工具,以主动监控和预测设备或系统故障,最大限度地减少停机时间,优化维护计划。随着人工智能及其执行任务能力的进步,越来越多的人认为人工智能最终可能会取代人类。然而,在流程工业中,如果没有人类参与操作,就会引发安全问题。因此,人工智能应与人类合作,而不是取代人类参与加工设施的操作。这种技术被称为智能增强(IA)。本文(i)详细比较了人工智能和 IA 在流程系统中的潜力,(ii)确定了在流程安全中使用人工智能和 IA 的可行性,以及(iii)确定了在流程工业中实施人工智能或 IA 的相关风险。
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引用次数: 0
Hollow fiber membrane governed microjet flow regime for confined crystallization of large-sized crystal aggregates 用于大尺寸晶体聚集体限制结晶的中空纤维膜调控微射流机制
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-15 DOI: 10.1002/aic.18474
Yuchao Niu, Shaofu Du, Shankun Liang, Lei Sheng, Yingshuang Meng, Wu Xiao, Xuehua Ruan, Gaohong He, Xiaobin Jiang
Confined crystallization can realize controllable nucleation and growth of crystals with targeted morphologies in a restricted region. Here, we achieved confined reactive crystallization within a novel micro columnar jet flow regime constructed by the hollow fiber membrane. The interface of the jet flow corresponds as the restricted region for reactive crystallization, and the large-sized calcium carbonate (CaCO3) crystals aggregates with millimeter length can ordered and self-assembly grow along the boundary of this region. Formation mechanism of the jet flow was systematically investigated by real-time observation and force analysis. The detected detachment-regrowth cycle during the experiments furtherly uncovered the potential for continuous operation. Linear (diameter: 0.12–0.3 mm; length: 1.5–3.1 mm) and lamellar crystals (thickness of 200–300 nm and average area of 0.21 mm2) were obtained by effectively manipulating the diameter and effective length of jet flow.
受限结晶可在受限区域内实现具有目标形态的晶体的可控成核和生长。在这里,我们在由中空纤维膜构建的新型微柱状射流体系中实现了限制反应结晶。喷射流的界面相当于反应结晶的受限区域,长度为毫米的大尺寸碳酸钙(CaCO3)晶体聚集体可沿着该区域的边界有序自组装生长。通过实时观测和受力分析,系统地研究了喷射流的形成机理。实验过程中检测到的脱落-生长循环进一步揭示了连续运行的潜力。通过有效控制喷射流的直径和有效长度,获得了线状(直径:0.12-0.3 毫米;长度:1.5-3.1 毫米)和片状晶体(厚度为 200-300 纳米,平均面积为 0.21 平方毫米)。
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引用次数: 0
Application of volume-translated rescaled perturbed-chain statistical associating fluid theory equation of state to pure compounds using an expansive experimental database 利用庞大的实验数据库,将体积转换重标扰动链统计关联流体理论状态方程应用于纯化合物
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-15 DOI: 10.1002/aic.18466
Jialin Shi, Changxu Wu, Honglai Liu, Huazhou Li
The performance of the perturbed-chain statistical associating fluid theory-type equations of state (PC-SAFT-type EOSs) is compromised in predicting properties of pure compounds in the critical region. In our previous research, we introduced an improved volume-translated rescaled PC-SAFT EOS (VTR-PC-SAFT EOS) by incorporating a dimensionless distance-function. Such VTR-PC-SAFT EOS is built based on a critical point-based PC-SAFT EOS that can reproduce the critical temperature, critical pressure, and critical molar volume of pure compounds. VTR-PC-SAFT EOS is found to significantly improve the accuracy of phase behavior predictions in both critical and noncritical regions for pure compounds. In this study, we assess the performance of VTR-PC-SAFT EOS in reproducing the critical and noncritical properties of 251 pure compounds, encompassing 20 distinct chemical species. The testing results indicate that, compared to the other three PC-SAFT-type EOSs, the VTR-PC-SAFT EOS can consistently provide more accurate representations of critical and noncritical properties of 251 pure compounds.
扰动链统计关联流体理论型状态方程(PC-SAFT-type EOSs)在预测临界区纯化合物性质方面的性能受到了影响。在之前的研究中,我们通过加入无量纲距离函数,引入了一种改进的体积转换重标定 PC-SAFT 状态方程(VTR-PC-SAFT EOS)。这种 VTR-PC-SAFT EOS 建立在基于临界点的 PC-SAFT EOS 基础上,可以再现纯化合物的临界温度、临界压力和临界摩尔体积。研究发现,VTR-PC-SAFT EOS 能显著提高纯化合物在临界和非临界区域的相行为预测精度。在本研究中,我们评估了 VTR-PC-SAFT EOS 在再现 251 种纯化合物临界和非临界特性方面的性能,其中包括 20 种不同的化学物质。测试结果表明,与其他三种 PC-SAFT 型 EOS 相比,VTR-PC-SAFT EOS 可以持续更准确地表示 251 种纯化合物的临界和非临界性质。
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引用次数: 0
Globally optimal simultaneous heat exchanger network synthesis and basic heat exchanger design 全局最优同步换热器网络合成和基本换热器设计
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-14 DOI: 10.1002/aic.18450
Diego G. Oliva, Andre L. M. Nahes, Julia C. Lemos, André L. H. Costa, Miguel J. Bagajewicz
In this article, we extend a previously developed globally optimal enumeration methodology for the synthesis of heat exchanger networks (HENs) to include the basic design of heat exchangers (HEXs). The method addresses together all trade-offs between network structure, energy usage, and the basic design of the HEXs. Without loss of generality, we focus on shell-and-tube HEXs. Unlike previous approaches, such as Pinch Analysis, Metaheuristic methods, or Mathematical Programming, our procedure guarantees global optimality. The procedure is not iterative and does not present any convergence challenges. We enumerate HEN structures using a mixed-integer linear programming method and we use Set Trimming followed by sorting for the HEX design. In addition, because some network structures are incompatible with single shell exchangers, we use multiple shell exchangers in series. The comparison of the results of the proposed approach with solutions obtained using two alternative methods extracted from the literature indicates that considerable cost reductions may be obtained.
在本文中,我们扩展了之前开发的用于热交换器网络(HENs)合成的全局最优枚举法,将热交换器(HEXs)的基本设计也包括在内。该方法可综合解决网络结构、能源使用和热交换器基本设计之间的所有权衡问题。在不失一般性的前提下,我们将重点放在管壳式热交换器上。与以往的方法(如捏合分析法、元启发式方法或数学编程法)不同,我们的程序保证了全局最优性。该程序不需要迭代,也不存在任何收敛难题。我们使用混合整数线性规划方法枚举 HEN 结构,并使用集合修剪法(Set Trimming)和排序法(Sorting)进行 HEX 设计。此外,由于某些网络结构与单壳交换器不兼容,我们采用了多壳串联交换器。将所提方法的结果与从文献中提取的两种替代方法的结果进行比较后发现,可以大大降低成本。
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引用次数: 0
Optimizing kinetic evaluation through CFD-based analysis of heat and mass transfer in a high-pressure TGA 通过基于 CFD 的高压 TGA 传热传质分析优化动力学评估
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-14 DOI: 10.1002/aic.18473
Fengbo An, Felix Küster, Stefan Guhl, Martin Gräbner, Andreas Richter
Accurate measurement of heterogeneous reaction kinetics in thermogravimetric analysis (TGA) requires accurate estimation of concentration and temperature in the sample. However, this information is difficult to estimate during the measurement, especially at high temperatures and pressures. Computational Fluid Dynamics (CFD) is used to perform a comprehensive analysis of the temperature and species distribution throughout a high-temperature, high-pressure test rig, including temperature and species transport within the probe sample. The temperature and gas concentration within the sample are accurately calculated by CFD, providing a much deeper insight into the local temperature and species distribution. The numerical results show a significant decrease in gas concentration and temperature in the core region of the packed bed, indicating that bed diffusion dominates the overall conversion for the char reaction studied in this article. The re-evaluation based on the model considers the limitations of heat and mass transfer at each measurement point. This forms the basis for a novel, model-driven approach that derives heterogeneous kinetics from TGA measurements with significantly improved accuracy and reliability.
在热重分析(TGA)中准确测量异相反应动力学需要准确估计样品中的浓度和温度。然而,这些信息在测量过程中很难估计,尤其是在高温高压条件下。计算流体动力学(CFD)用于全面分析整个高温高压试验台的温度和物种分布,包括探针样品内的温度和物种迁移。样品内的温度和气体浓度可通过 CFD 精确计算,从而更深入地了解局部温度和物种分布情况。数值结果表明,在填料床的核心区域,气体浓度和温度显著下降,这表明床层扩散在本文研究的炭化反应的整体转化中占主导地位。基于该模型的重新评估考虑了每个测量点传热和传质的局限性。这为一种新颖的、模型驱动的方法奠定了基础,该方法可从 TGA 测量中推导出异质动力学,其准确性和可靠性大大提高。
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引用次数: 0
Unveiling the integrated function of metallo-/ionic-covalent organic polymers for boosting atmospheric CO2 conversion 揭示金属/离子共价有机聚合物在促进大气二氧化碳转化方面的综合功能
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-14 DOI: 10.1002/aic.18488
Han Zhang, Wenwen Zhang, Fusheng Liu, Zheng-Hong Luo, Kunqi Gao, Mengshuai Liu
Multifunctional metallo-/ionic-covalent organic polymers (TCTB@Zn-iCOPs) were constructed through one-pot multicomponent reaction in a deep eutectic solvent at room temperature. The structures of various TCTB@Zn-iCOPs were characterized, demonstrating their successful integration of multiple sites and excellent structural stability. Then TCTB@Zn-iCOPs were employed to transform atmospheric CO2 into cyclic carbonates. The results showed that satisfactory product yields were obtained under mild and additive-free conditions, with a high TOF value of 101 h−1; furthermore, the optimized TCTB@Zn-iCOP2 exhibited excellent versatility in catalyzing the cycloaddition reactions between various substituted epoxides and CO2, and its activity did not significantly decrease after being reused for five times. Compared with previously reported nonmetallic iCOPs, the TCTB@Zn-iCOP2 shows significantly improved activity and stability. Finally, DFT calculations were conducted along with a comparison of energy barriers for possible reaction paths, gaining an in-depth understanding of the synergistic catalytic mechanism involving multiple sites.
在室温下的深共晶溶剂中,通过单锅多组分反应构建了多功能金属/离子共价有机聚合物(TCTB@Zn-iCOPs)。对各种 TCTB@Zn-iCOP 的结构进行了表征,结果表明它们成功地整合了多个位点,并具有优异的结构稳定性。然后利用 TCTB@Zn-iCOPs 将大气中的二氧化碳转化为环状碳酸盐。结果表明,在温和、无添加剂的条件下,TCTB@Zn-iCOP2 获得了令人满意的产物收率,TOF 值高达 101 h-1;此外,优化后的 TCTB@Zn-iCOP2 在催化各种取代环氧化物与 CO2 的环化反应中表现出了优异的多功能性,而且在重复使用五次后其活性并没有明显下降。与之前报道的非金属 iCOP 相比,TCTB@Zn-iCOP2 的活性和稳定性都有显著提高。最后,还进行了 DFT 计算,并比较了可能反应路径的能障,从而深入了解了涉及多个位点的协同催化机理。
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引用次数: 0
New insight and experimental study of ineffective void in hydrodynamic performance of countercurrent-flow packing column 逆流填料塔流体力学性能中无效空隙的新见解和实验研究
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-11 DOI: 10.1002/aic.18467
Bin Xu, Ge Gao, Xiaoyi Gao, Wufeng Jiang, Xiaoshan Li, Cong Luo, Fan Wu, Liqi Zhang
Extensive experimental research and hydrodynamic models have been proposed to guide the design of superior packings. However, most research has concentrated on the effective void (ε − H) of packing while ignoring the ineffective void (ε − H − HL), which causes discrepancies in hydrodynamic performance compared to actual observations. This study evaluated the hydrodynamic performance under diverse conditions considering the liquid holdup (H), pressure drop (ΔP), and gas flooding velocity (uf). A novel approach to hydrodynamic model construction is introduced by incorporating an ineffective void. The results indicate that at a constant hold-up area, liquid flow (L) and viscosity (μ) significantly influence liquid hold up, moderated by the gas velocity in the flooding area. The pressure drop rises as the viscosity, gas flow rate, and liquid flow rate increase. Notably, a considerable pressure drop initiates flooding at the bottom of the absorber. Elevated liquid flow rates and viscosities correlate with higher ineffective void values (HL) in the packing column. At low gas flow rates, the gas flow rate marginally affects HL values. However, after the flooding point was achieved, the values of HL rapidly increased as the gas flow rate increased. Moreover, a linear relationship emerges between the liquid holdup and HL, as evidenced by the consistent variation in the liquid holdup and the F-factor. Utilizing the ineffective void yields a more accurate fit for the experimental data, reducing the average absolute relative deviation to 10.2%, 7.4%, and 10.8%, respectively.
人们提出了大量的实验研究和流体力学模型来指导优良填料的设计。然而,大多数研究都集中在填料的有效空隙(ε - H)上,而忽略了无效空隙(ε - H - HL),导致流体力学性能与实际观测结果不符。本研究考虑了液体滞留(H)、压降(ΔP)和气体淹没速度(uf),评估了不同条件下的流体力学性能。通过加入无效空隙,引入了一种构建流体力学模型的新方法。结果表明,在恒定截留面积下,液体流量(L)和粘度(μ)对液体截留有显著影响,并受淹没区气体速度的影响。压降随着粘度、气体流速和液体流速的增加而上升。值得注意的是,相当大的压力降会在吸收器底部引发淹没。液体流速和粘度的升高与填料柱中较高的无效空隙值 (HL) 有关。在气体流速较低时,气体流速对 HL 值影响不大。然而,在达到淹没点后,随着气体流速的增加,HL 值迅速增加。此外,液体截留率和 HL 之间呈现线性关系,液体截留率和 F 因子的持续变化也证明了这一点。利用无效空隙可以更准确地拟合实验数据,将平均绝对相对偏差分别减小到 10.2%、7.4% 和 10.8%。
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引用次数: 0
Enhancing sulfur resistance of oxides in carbon monoxide oxidation by a high‐entropy‐stabilized strategy 通过高熵稳定策略增强氧化物在一氧化碳氧化过程中的抗硫性
IF 3.7 3区 工程技术 Q1 Chemical Engineering Pub Date : 2024-05-07 DOI: 10.1002/aic.18470
Shengyu Du, Pengfei Zhang
Industrial chemical processes require sulfur‐resistant catalysts, which reduce catalyst replacement costs and simplify process operations. Herein, a high‐entropy‐stabilized strategy was put forward for sulfur‐resistant catalysis. A spinel high entropy (Zn0.2Mg0.2Cu0.2Mn0.2Co0.2Al2O4) was introduced by ball milling process with aluminum isopropoxide as the main precursor. Zn0.2Mg0.2Cu0.2Mn0.2Co0.2Al2O4 possessed a high surface area of 171.2 m2 g−1, higher than typical high‐entropy oxides (HEOs). The high‐entropy spinel catalyst exhibited better SO2‐resistance performance in the oxidation of carbon monoxide, better than the simple oxides. The SO2‐resistance of Zn0.2Mg0.2Cu0.2Mn0.2Co0.2Al2O4 was primarily improved by reinforcing the stability of the oxide using a high‐entropy structure to decrease the absorption of SO2 on its surface. Any adsorbed SO2 on the surface of the HEO was then selectively trapped by sacrificial metal ions with stronger electron‐withdrawing ability, protecting the active center (Cu2+, Co2+) from poisoning. This work reveals the significance of high‐entropy structures in sulfur resistance.
工业化工工艺需要抗硫催化剂,以降低催化剂更换成本并简化工艺操作。在此,我们提出了一种高熵稳定的抗硫催化策略。以异丙醇铝为主要前驱体,通过球磨工艺引入尖晶石高熵(Zn0.2Mg0.2Cu0.2Mn0.2Co0.2Al2O4)。Zn0.2Mg0.2Cu0.2Mn0.2Co0.2Al2O4 的比表面积高达 171.2 m2 g-1,高于典型的高熵氧化物(HEOs)。高熵尖晶石催化剂在氧化一氧化碳时表现出更好的抗二氧化硫性能,优于简单氧化物。Zn0.2Mg0.2Cu0.2Mn0.2Co0.2Al2O4的抗二氧化硫性能主要是通过使用高熵结构来增强氧化物的稳定性,从而减少其表面对二氧化硫的吸附来提高的。然后,高熵氧化物表面吸附的二氧化硫会被具有更强吸电子能力的牺牲金属离子选择性地捕获,从而保护活性中心(Cu2+、Co2+)免受毒害。这项工作揭示了高熵结构在抗硫方面的重要意义。
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