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2022 Vol.39 Issue.2,Published 2022-03-15
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2022 Vol. 39 (2): 0-0 [Abstract] ( 246 ) [HTML 1KB] [ PDF 831KB] ( 949 )
1 Forecast of in-line blade-screen high shear mixer's performance based on machine learning
WANG Lingjie, GUO Junheng, LI Wenpeng, CHENG Qin, ZHANG Jinli
As a novel type of process intensification equipment, high-shear mixers were increasingly widely used in industry, but their design still relies on experimental scaling-up. Data on power, liquid-liquid mass transfer coefficient and emulsification of in-line high-shear mixers with different stator and rotor configurations were collected. And regression fitting analysis on the collected data was performed using machine learning algorithms such as back propagation neural network, recurrent neural network, decision tree, etc., which provided information for the design and optimization of high-shear mixers. The results show that back propagation neural network and recurrent neural network algorithms can predict high-shear mixer's performance precisely and the accuracy of the model can be further improved by fusing different machine learning models. The PyCaret program based on auto machine learning can accurately fit the data. However, its optimization performance is poor when the amount of data is small.
2022 Vol. 39 (2): 1-8 [Abstract] ( 326 ) [HTML 1KB] [ PDF 3140KB] ( 1211 )
9 A review of research on fault detection and diagnosis of chemical process based on deep learning
BAO Yu, CHENG Shuo, WANG Jingtao
The fault detection and diagnosis of the chemical process is of great significance to the reliability and safety of modern industrial systems. As an emerging technology, deep learning has attracted intense attention from academia and industry in the last ten years, because of the automated feature learning, powerful feature representation capability and excellent classification performance in solving complex problems. From the perspective of methodology, this review divides the fault detection and diagnosis technology of chemical process based on deep learning into autoencoder-based method, deep belief network-based method, convolutional neural network-based method and recurrent neural network-based method. After a brief introduction to the several deep learning models, this paper reviewed and summarized the latest research progress using the four methods systematically. Finally, some major challenges are summarized from the perspective of industrial application, and the future development directions are prospected from the three aspects of "data", "model" and "visualization".
2022 Vol. 39 (2): 9-22 [Abstract] ( 376 ) [HTML 1KB] [ PDF 2566KB] ( 2270 )
23 Green scheduling optimization of shuttle tanker route considering carbon emissions
ZHAO Yue, GAO Xiaoyong, KUI Guofeng, ZHANG Yu
Offshore shuttle tankers play an important role in the oil transportation system for deep-sea and offshore marginal fields. The route scheduling of shuttle tankers determines the efficiency of the oil transportation system. Marine crude oil transportation mode accounts for 80% of the entire crude oil transportation volume. In order to improve the market competitiveness of crude oil companies and reduce their marine operation costs, the rational design of shuttle tanker fleet and the optimization of route scheduling are crucial. In recent years, scholars have focused more on researching the establishment of a green logistics system that is symbiotic with the environment and promotes the healthy development of the economy and consumer life. Based on this, this paper proposes a green scheduling optimization model for shuttle tanker paths based on continuous time expressions. The model aims to minimize the total cost of shipping for shuttle tankers, where the total cost of shipping consists of both traditional fixed transportation costs and variable costs related to carbon emissions. The model correlates carbon emissions with the speed of the shuttle tanker, i.e., the green scheduling optimization of the shuttle tanker route is achieved by optimizing the decision on the speed of the shuttle tanker. The model proposed in this paper simultaneously optimizes shuttle tanker fleet design, navigation route scheduling and speed selection. Through the case study and cost comparison of the cases, the important role of speed selection on the shipping cost of shuttle tankers is verified, which provides a new idea to reduce the cost of crude oil outbound from deep-sea and offshore marginal oil fields.
2022 Vol. 39 (2): 23-31 [Abstract] ( 335 ) [HTML 1KB] [ PDF 3066KB] ( 1394 )
32 A batch process monitoring method based on long short term memory network and support vector data description
JI Cheng, GU Junfa, WANG Jianhong, WANG Jingde, SUN Wei
Batch process is an important operating mode in chemical process. Different from continuous processes, batch process production is not operated in a stable operating point, but a preset trajectory according to raw material ratio and operating conditions. Therefore, process data in batch process display complex characteristics including multi-stage, dynamic time-varying and nonlinear, which means traditional monitoring methods cannot be directly applied to monitor the operating status in batch process. To solve this problem, a novel process monitoring strategy is proposed in this paper. Long short-term memory network is first applied to establish a regression model by extracting the dynamic and nonlinear feature among process variables. Then residuals obtained from the regression model is considered as the monitoring object. Since the multi-stage and dynamic characteristics no longer exist in the obtained residuals, the continuous process monitoring methods can be directly applied to establish a monitoring model for residuals. Finally, the support vector data description is selected to describe the residuals of the normal data set in a hypersphere, and the distance from the test set sample point to the center of the hypersphere is used as a monitoring statistic to detect the faults. The method is applied to a simulated penicillin fermentation process, the results show that complex batch process monitoring can be transformed into a relatively simple continuous process monitoring problem to deal with, and the process faults can be detected in time.
2022 Vol. 39 (2): 32-36 [Abstract] ( 302 ) [HTML 1KB] [ PDF 1819KB] ( 1030 )
37 Application of big data monitoring system in intelligentization of factory
HAN Chengyu, LU Zheng, XU Mingyang, MA Fangyuan, WANG Jingde, SUN Wei
In view of some common problems existing in the existing information systems of chemical enterprises, a big data monitoring system was designed and developed on the basis of the existing information architecture. The big data monitoring system integrates many relatively isolated information systems, introduces advanced big data analysis algorithms and strategies, provides guidance for production and operations, and will become an important part of intelligentization of the factory. The intelligent data gateway in the system can access DCS (Distributed Control System) real-time data, historical data, laboratory test data and other data sources in a unified way; The data dispatching center standardizes the interaction between subsystems, and enhances the flexibility of business expansion and data application. Knowledge fusion library combines data-driven technology, and can accumulate the operation experience of engineers. The system also provides an open secondary development interface, which supports the customized development of algorithm modules. The above-mentioned system has been put into production in a petrochemical enterprise, running stably, providing timely and accurate operation guidance for field engineers, and being fully recognized by users.
2022 Vol. 39 (2): 37-40,49 [Abstract] ( 352 ) [HTML 1KB] [ PDF 1626KB] ( 1485 )
41 Highly efficient and durable Ni-Fe alloy catalyst towards OER via one-step electrodeposition
GE Sheng, MIN Luofu, FEI Hongda, JI Dinghao, WANG Yuxin
We propose here a facile and readily scalable method to fabricate highly efficient and durable electrocatalyst towards oxygen evolution reaction (OER). Using common nickel mesh as a substrate, Ni-Fe alloy with hierarchical pores is formed in-situ via one-step electrodeposition. The electrodeposition of Ni and Fe is accompanied by hydrogen evolution, the generated hydrogen bubble facilitate the formation of hierarchically porous structure. The particular porous structure of the Ni-Fe alloy is beneficial to OER in terms of charge transfer and gas bubble release. For this structure is formed under a very similar condition, i.e., gas evolution, it adapts well when working on OER. The Ni-Fe alloy catalyst with 15% Fe shows the best performance of an overpotential of 210 mV at 10 mA·cm-2 and a low Tafel slop of 35 mV·dec-1. Furthermore, the Ni-Fe alloy catalyst presents remarkable durability under industrial alkaline water electrolysis conditions for 250 h. Therefore, the hierarchically porous Ni-Fe alloy prepared via one-step electrodeposition is a promising OER catalyst in alkaline water electrolysis.
2022 Vol. 39 (2): 41-49 [Abstract] ( 504 ) [HTML 1KB] [ PDF 17830KB] ( 1177 )
50 Preparation and performance of amino-functionalized SBA-15 for adsorption of ions in hydrogen peroxide solution
CHEN Qiquan, REN Xiangwei, ZHANG Yue, WANG Li
Amino-functionalized mesoporous silica SBA-15 was prepared with 3-aminopropyltriethoxysilane (APTES) via post-synthesis grafting method and used as absorbents for removal of metal ions, anions and organic impurities from a hydrogen peroxide solution to produce ultra-pure hydrogen peroxide. The results showed that the N content in amino-functionalized SBA-15 increases with increasing the addition amount of APTES, with a maximum of 1.83%. Two-dimensional hexagonal ordered structure of SBA-15 is well preserved after grafting with APTES. However, the specific surface area and pore volume of SBA-15 decrease slightly with increasing the grafting amount. The surface of SBA-15 in the hydrogen peroxide solution has positive charge. The functionalization of SBA-15 by grafting of amino groups induces an extremely significant improvement in the adsorption capacity for Al3+ and Fe3+ with purification rate of 82.22% and 78.78%, and the moderate improvement for Ca2+, K+, Na+, PO43- and organic impurities in the hydrogen peroxide solution. Kinetic studies and adsorption isotherm data indicated that adsorption of metal ions and PO43- was chemical adsorption. It has been speculated that metal ions are removed from the hydrogen peroxide solution by complexation with the surface of SBA-15, and PO43- and organic impurities by electrostatic and physical adsorption, respectively.
2022 Vol. 39 (2): 50-60 [Abstract] ( 624 ) [HTML 1KB] [ PDF 17870KB] ( 789 )
61 Research progress of rare earth strontium aluminate luminescent polymer composites used in underwater operations
XIE Jianhui, QI Peiyao, HU Shaofeng, WANG Pengfei, LI Ang, LIU Xiaofei
Rare earth strontium aluminate luminescent polymer composites are currently the most widely used luminescent materials. They can be used to make marine luminous fibers and are expected to solve the problems of underwater operations in deep sea and dark conditions. This article mainly reviews the research progress of rare earth strontium aluminate in polymers such as polypropylene, polyethylene, polyethylene terephthalate, polymethyl methacrylate and polyurethane, and describes the effect of rare earth strontium aluminate on polymerization. The influence of the physical and mechanical properties and luminescence characteristics of the polymer composite material clarifies the application prospects of the polymer luminescence composite material in the field of underwater operations.
2022 Vol. 39 (2): 61-68 [Abstract] ( 289 ) [HTML 1KB] [ PDF 1255KB] ( 2294 )
69 Aqueous two-phase systems of poly(vinyl alcohol)/alcohol ethoxylate/H2O: Binodal curve study
TAO Haoyue, DANG Leping, HAO Lin, WANG Zhanzhong
The study of aqueous two-phase systems (ATPSs) formed by water-soluble polymer and nonionic surfactant has received attention in recent years because of the biodegradability and nontoxicity of their components. In this work, liquid-liquid equilibrium data and binodal curves were obtained for the ATPSs composed of PVA (BP-05, BP-17 and BP-24), alcohol ethoxylate (AE7) and water at 25℃, 35℃ and 45℃. The results show that in terms of the systems made up of PVA (BP-05, BP-17 or BP-24), AE7 and water, the mixtures are very easy to appear phase separation due to the steric effect. The areas of homogeneous region in binodal curves gradually diminish with the temperature increasing for the systems constituted by BP-24, AE7 and water at 25℃, 35℃ and 45℃. The binodal curves of BP-05/AE7/H2O systems and BP-24/AE7/H2O systems at 35℃ are very similar,the asymmetry of the binodal curve obviously increases for BP-17/AE7/H2O systems at 35℃.
2022 Vol. 39 (2): 69-75 [Abstract] ( 320 ) [HTML 1KB] [ PDF 4795KB] ( 1852 )
76 Research progresses of slick-water drag reducer at home and abroad
JIANG Qihui, YANG Xiangtong, YU Xiaoxi, LIU Jianquan, TANG Lei
Slick-water fracturing technology is one of the most widely used technologies for unconventional oil and gas stimulation. Adding a drag reducer to improve the rheology of the fluid can effectively reduce the turbulent frictional resistance generated by the fracturing fluid when it flows, and meet the construction requirements of reducing pressure and increasing injection. This article conducts an in-depth investigation on slick-water drag reducers at home and abroad, summarizes the research progress of traditional and novel drag reducers, analyzes the influence factors of drag reduction effects, and predicts the future development direction of drag reducers to a certain extent, which gives reference for subsequent research.
2022 Vol. 39 (2): 76-83 [Abstract] ( 316 ) [HTML 1KB] [ PDF 1040KB] ( 3056 )
84 Preparation and performance of hydrotalcite intercalation fluid loss agent
WEI Haoguang, CHANG Qinglu, LIU Xiaogang, XING Yubing, HU Miaomiao, GUO Jintang
As oil development gradually shifts to deep and ultra-deep layers on land, cementing engineering has higher and higher requirements for fluid loss additives on oil well cements. Fluid loss additives still need to have good water control properties in high-temperature and high-salt formations. In order to meet the high temperature resistance of oil well cement fluid loss agent, the organic polymer fluid loss agent is combined with the new inorganic material hydrotalcite to develop a new type of oil well cement fluid loss agent that is resistant to high temperature and salt. 2-Acrylamido-2-methylpropane sulfonic acid (AMPS), sodium p-styrene sulfonate (SSS), N,N-dimethylacrylamide (DMAA) and itaconic acid (IA) were chosen to synthesize quaternary organic polymer fluid loss agent F1, and the interlayer ion exchange characteristics of hydrotalcite was used to insert the organic polymer fluid loss agent into magnesium aluminum hydrotalcite (Mg/Al-LDHs) between layers, the protective effect of hydrotalcite on polymer fluid loss agent at high temperature was studied. Infrared spectroscopy, XRD and thermogravimetric analysis were used to characterize the hydrotalcite intercalation fluid loss reducer Mg/Al-F1-LDHs, and the static fluid loss experiment was used to test the fluid loss of cement slurry. The results proved that the new fluid loss agent was successfully synthesized, and the water loss of cement slurry was 86 mL under the condition of 240℃ and salt water with 57% sodium chloride (NaCl) concentration.
2022 Vol. 39 (2): 84-89 [Abstract] ( 384 ) [HTML 1KB] [ PDF 4184KB] ( 1380 )
90 Preparation and performance test of poly-M-phenylene diamine and CNT composite material in capacitive deionization process
WANG Shixuan, CAI Yanmeng, XU Shichang, WANG Yue
In-situ oxidative polymerization was used to prepare poly-m-phenylenediamine (PmPD) and carbon nanotube (CNT) composite material (PmPD@CNT). The effects of PmPD on the hydrophilicity and electrochemical properties of CNT materials were investigated. Capacitive deionization (CDI) performance of PmPD@CNT was studied. Scanning electron microscopy and transmission electron microscopy showed that the spherical morphology of PmPD remained in the composite and was evenly wrapped on the outer surface of CNT. The contact angle test proved that compared with CNT (107°), the contact angle (61°) of PmPD@CNT is significantly reduced and the hydrophilicity is significantly improved. The test results of X-ray diffraction and Raman spectroscopy prove that PmPD@CNT has more defect sites than CNT, and the composite material has stronger adsorption capacity. Electrochemical tests proved that PmPD@CNT (72.5 F·g-1, 0.071 Ω) has higher specific capacitance and lower resistance than CNT (27.4 F·g-1, 0.089 Ω). PmPD@CNT was prepared as a solid electrode for CDI component desalination test. The results showed that with 500 mg·L-1 NaCl solution as the raw material and 1.4 V operating voltage, the salt adsorption capacity of the composite electrode was 16.64 mg, and the specific adsorption capacity reaches 35.40 mg·g-1 and the average adsorption rate is 10.11 mg·g-1·min-1. The specific adsorption capacity and average adsorption rate of PmPD@CNT are 2.4 and 1.4 times that of CNT, respectively. PmPD@CNT is expected to become a competitive CDI electrode material due to its good hydrophilicity, excellent electrochemical performance and desalination performance.
2022 Vol. 39 (2): 90-99 [Abstract] ( 281 ) [HTML 1KB] [ PDF 10812KB] ( 976 )
100 Corrosion inhibition of carbon steel in acid solution by starch-AA-CS terpolymer
HOU Daolin, YANG Wukui, DONG Sheying
The copolymer SAAC was synthesized by starch, acrylic acid (AA) and chitosan (CS) as raw materials, and it was characterized by IR spectroscopy and X-ray diffraction. The corrosion inhibition and mechanism of SAAC on Q235 carbon steel under 1 mol·L-1 HCl were studied by electrochemical method, weight loss method, scanning electron microscope and energy spectrometer. The results showed that the corrosion inhibition rate of SAAC at 200 mg·L-1 could reach 90.1% at 30℃,which is a mixed corrosion inhibitor. According to Tafel curve and Gibbs free energy, the adsorption of SAAC on Q235 carbon steel followed the Langmuir adsorption isotherm, which is a physical and chemical co-adsorption. Therefore, SAAC is a kind of environmental protection corrosion inhibitor with wide application prospects.
2022 Vol. 39 (2): 100-107 [Abstract] ( 318 ) [HTML 1KB] [ PDF 6973KB] ( 1081 )
108 Corrosion behavior of polytetrafluoroethylene coating on phosphated carbon steel
HE Jizhe, LIU Mingyan
Using 20# carbon steel material as the substrate, after the phosphating pretreatment, a hydrophobic PTFE coating with a thickness of 13(±2) μm was prepared on the phosphating carbon steel by dipping and pulling method. The surface of the ordinary phosphating carbon steel is relatively coarse and uneven, while the size of the phosphating particles on the surface of the phosphating carbon steel using magnetic stirring is small and dense, and the crystal size is smaller than that of the ordinary phosphating. The prepared phosphating film is composed of Zn3(PO4)2·4H2O, Zn2Fe(PO4)2·4H2O and Mn2Zn(PO4)2·4H2O. Among them, Zn2Fe(PO4)2·4H2O is the main component. The main components of the PTFE coating are PTFE and a small amount of TFE. After immersing for 5 days, the shielding effect of the PTFE coating on the 3.5%NaCl solution is significantly weakened, and the corrosion resistance of the coating is greatly reduced. The corrosion mechanism of the PTFE coating in 3.5% NaCl solution was analyzed based on the AC impedance spectrum of the coating sample and the equivalent circuit fitting results.
2022 Vol. 39 (2): 108-116 [Abstract] ( 289 ) [HTML 1KB] [ PDF 11864KB] ( 1106 )
117 Design of control scheme for diisobutylene production by reactive distillation
CHEN Zihao, ZHANG Zisheng, ZHOU Jinbo, LI Changming, LI Hong, GAO Xin, LI Xingang
Diisobutylene (DIB) is an excellent chemical intermediate. Recently, a new process of producing DIB in high purity and gasoline additive from FCC C4 by reactive distillation has been proposed. And the research on the control strategy of the DIB production process by reactive distillation technology is still in its infancy since it is complicated to control the stability for reactive distillation due to its high degree of nonlinearity. Aspen dynamic software was used for dynamic simulation. The temperature control scheme, component temperature joint control scheme and component temperature cascade control scheme were developed for DIB production by reactive distillation. The three control systems were tested and compared with (±10)% feed flow disturbance and (±5)% composition disturbance. Results show that the component temperature cascade control scheme performs better which ensures the requirements that the purity of DIB is 99%, the purity of triisobutylene is less than 10%, and the conversion rate of isobutylene is greater than 99%. And the final stable time is about 5 h. The research results can provide a basis for the industrial application of the DIB production process.
2022 Vol. 39 (2): 117-127 [Abstract] ( 283 ) [HTML 1KB] [ PDF 12893KB] ( 1148 )
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