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| 1 | Fundamental Theories and Key Technologies for Smart andOptimal Manufacturing in the Process Industry显示文摘Given the significant requirements for transforming and promoting the process industry, we present themajor limitations of current petrochemical enterprises, including limitations in decision-making, produc-tion operation, efficiency and security, information integration, and so forth. To promote a vision of theprocess industry with efficient, green, and smart production, modern information technology should beutilized throughout the entire optimization process for production, management, and marketing. To focuson smart equipment in manufacturing processes, as well as on the adaptive intelligent optimization of themanufacturing process, operating mode, and supply chain management, we put forward several key scien-tific problems in engineering in a demand-driven and application-oriented manner, namely:intelligentsensing and integration of all process information, including production and management information; collaborative decision-making in the supply chain, industry chain, and value chain, driven by knowledge; cooperative control and optimization of plant-wide production processes via human-cyber-physical in-teraction; and Q life-cycle assessments for safety and environmental footprint monitoring, in addition totracing analysis and risk control. In order to solve these limitations and core scientific problems, we furtherpresent fundamental theories and key technologies for smart and optimal manufacturing in the processindustry. Although this paper discusses the process industry in China, the conclusions in this paper can beextended to the larocess industry around the world. | Feng Qian Weimin Zhong Wenli Du | 2017 | Engineering2017，3，2： | 23 |
| 2 | Multi-objective modeling and optimization for scheduling of cracking furnace systems显示文摘Cracking furnace is the core device for ethylene production.In practice,multiple ethylene furnaces are usually run in parallel.The scheduling of the entire cracking furnace system has great significance when multiple feeds are simultaneously processed in multiple cracking furnaces with the changing of operating cost and yield of product.In this paper,given the requirements of both profit and energy saving in actual production process,a multi-objective optimization model contains two objectives,maximizing the average benefits and minimizing the average coking amount was proposed.The model can be abstracted as a multi-objective mixed integer nonlinear programming problem.Considering the mixed integer decision variables of this multi-objective problem,an improved hybrid encoding non-dominated sorting genetic algorithm with mixed discrete variables(MDNSGA-Ⅱ)is used to solve the Pareto optimal front of this model,the algorithm adopted crossover and mutation strategy with multi-operators,which overcomes the deficiency that normal genetic algorithm cannot handle the optimization problem with mixed variables.Finally,using an ethylene plant with multiple cracking furnaces as an example to illustrate the effectiveness of the scheduling results by comparing the optimization results of multi-objective and single objective model. | Peng Jiang Wenli Du | 2017 | Chinese Journal of Chemical Engineering2017，25，8： | 8 |
| 3 | A microporous surface containing Si3N4/Ta microparticles of PEKK exhibits both antibacterial and osteogenic activity for inducing cellular response and improving osseointegration显示文摘As an implantable biomaterial,polyetherketoneketone(PEKK)exhibits good mechanical strength but it is biologically inert while tantalum(Ta)possesses outstanding osteogenic bioactivity but has a high density and elastic modulus.Also,silicon nitride(SN)has osteogenic and antibacterial activity.In this study,a microporous surface containing both SN and Ta microparticles on PEKK(STP)exhibiting excellent osteogenic and antibacterial activity was created by sulfonation.Compared with sulfonated PEKK(SPK)without microparticles,the surface properties(roughness,surface energy,hydrophilicity and protein adsorption)of STP significantly increased due to the SN and Ta particles presence on the microporous surface.In addition,STP also exhibited outstanding antibacterial activity,which inhibited bacterial growth in vitro and prevented bacterial infection in vivo because of the presence of SN particles.Moreover,the microporous surface of STP containing both SN and Ta particles remarkably induced response(e.g.,proliferation and differentiation)of rat bone mesenchymal stem(rBMS)cells in vitro.Furthermore,STP significantly improved new bone regeneration and osseointegration in vivo.Regarding the induction of cellular response in vitro and improvement of osseointegration in vivo,the microporous surface containing Ta was better than the surface with SN particles.In conclusion,STP with optimized surface properties activated cellular responses in vitro,enhanced osseointegration and prevented infection in vivo.Therefore,STP possessed the dual biofunctions of excellent osteogenic and antibacterial activity,showing great potential as a bone substitute. | Xinglong Hu Shiqi Mei Fan Wang Songchao Tang Dong Xie Chao Ding Wenli Du Jun Zhao Lili Yang Zhaoying Wu Jie Wei | 2021 | Bioactive Materials2021，6，10： | 6 |
| 4 | Study on co-cracking performance of different hydrocarbon mixture in a steam pyrolysis furnace显示文摘Co-cracking is a process where the mixtures of different hydrocarbon feedstocks are cracked in a steam pyrolysis furnace, and widely adopted in chemical industries. In this work, the simulations of the co-cracking of ethane and propane, and LPG and naphtha mixtures have been conducted, and the software packages of COILSIM1 D and Sim CO are used to account for the cracking process in a tube reactor. The effects of the mixing ratio, coil outlet temperature, and pressure on cracking performance have been discussed in detail. The co-cracking of ethane and propane mixture leads to a lower profitability than the cracking of single ethane or single propane. For naphtha, cracking with LPG leads to a higher profitability than single cracking of naphtha, and more LPG can produce a higher profitability. | Benfeng Yuan Jinlong Li Wenli Du Feng Qian | 2016 | Chinese Journal of Chemical Engineering2016，24，9： | 6 |
| 5 | A Hybrid Improved Genetic Algorithm and Its Application in Dynamic Optimization Problems of Chemical Processes显示文摘The solutions of dynamic optimization problems are usually very difficult due to their highly nonlinear and multidimensional nature. Genetic algorithm (GA) has been proved to be a feasible method when the gradient is difficult to calculate. Its advantage is that the control profiles at all time stages are optimized simultaneously, but its convergence is very slow in the later period of evolution and it is easily trapped in the local optimum. In this study, a hybrid improved genetic algorithm (HIGA) for solving dynamic optimization problems is proposed to overcome these defects. Simplex method (SM) is used to perform the local search in the neighborhood of the optimal solution. By using SM, the ideal searching direction of global optimal solution could be found as soon as possible and the convergence speed of the algorithm is improved. The hybrid algorithm presents some improvements, such as protecting the best individual, accepting immigrations, as well as employing adaptive crossover and Gaussian mutation operators. The efficiency of the proposed algorithm is demonstrated by solving several dynamic optimization problems. At last, HIGA is applied to the optimal production of secreted protein in a fed batch reactor and the optimal feed-rate found by HIGA is effective and relatively stable. | SUN Fan DU Wenli QI Rongbin QIAN Feng ZHONG Weimin | 2013 | Chinese Journal of Chemical Engineering2013，21，2： | 5 |
| 6 | Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm显示文摘Near-infrared spectroscopy mainly reflects the frequency-doubled and total-frequency absorption information of hydrogen-containing groups (0 -H, C-H, N-H, S-H) in organic molecules for near-infrared lights with different wavelengths, so it is applicable to testing of most raw materials and products in the field of petrochemicals. However, the modeling process needs to collect a large number of laboratory analysis data. There are many oil sources in China, and oil properties change frequently. Modeling of each raw material is not only unfeasible but also will affect its engineering application efficiency. In order to achieve rapid modeling of near-infrared spectroscopy and based on historical data of different crude oils under different detection conditions, this paper discusses about the feasibility of the application of transfer learning algorithm and makes it possible that transfer learning can assist in rapid modeling using certain historical data under similar distributions under a small quantity of new data. In consideration of the requirement of transfer learning for certain similarity of different datasets, a transfer learning method based on local similarity feature selection is proposed. The simulation verification of spectral data of 13 crude oils measured by three different probe detection methods is performed. The effectiveness and application scope of the transfer modeling method under different similarity conditions are analyzed. | Yifei Wang Kai Wang Zhao Zhou Wenli Du | 2019 | Frontiers of Chemical Science and Engineering2019，13，3： | 4 |
| 7 | Total plant performance evaluation based on big data: Visualization analysis of TE process显示文摘The performance evaluation of the process industry, which has been a popular topic nowadays, can not only find the weakness and verify the resilience and reliability of the process, but also provide some suggestions to improve the process benefits and efficiency. Nevertheless, the performance assessment principally concentrates upon some parts of the entire system at present, for example the controller assessment. Although some researches focus on the whole process, they aim at discovering the relationships between profit, society, policies and so forth, instead of relations between overall performance and some manipulated variables, that is, the total plant performance. According to the big data of different performance statuses, this paper proposes a hierarchical framework to select some structured logic rules from monitored variables to estimate the current state of the process. The variables related to safety and profits are regarded as key factors to performance evaluation. To better monitor the process state and observe the performance variation trend of the process, a classificationvisualization method based on kernel principal component analysis(KPCA) and self-organizing map(SOM) is established. The dimensions of big data produced by the process are first reduced by KPCA and then the processed data will be mapped into a two-dimensional grid chart by SOM to evaluate the performance status. The monitoring method is applied to the Tennessee Eastman process. Monitoring results indicate that off-line and on-line performance status can be well detected in a two-dimensional diagram. | Mengyao Li Wenli Du Feng Qian Weiming Zhong | 2018 | Chinese Journal of Chemical Engineering2018，26，8： | 4 |
| 8 | Development and challenges of planning and scheduling for petroleum and petrochemical production显示文摘Production planning and scheduling are becoming the core of production management,which support the decision of a petrochemical company.The optimization of production planning and scheduling is attempted by every refinery because it gains additional profit and stabilizes the daily production.The optimization problem considered in industry and academic research is of different levels of realism and complexity,thus increasing the gap.Operation research with mathematical programming is a conventional approach used to address the planning and scheduling problem.Additionally,modeling the processes,objectives,and constraints and developing the optimization algorithms are significant for industry and research.This paper introduces the perspective of production planning and scheduling from the development viewpoint. | Fupei LI Minglei YANG Wenli DU Xin DAI | 2020 | Frontiers of Engineering Management2020，7，3： | 3 |
| 9 | Solving chemical dynamic optimization problems with ranking-based differential evolution algorithms显示文摘Dynamic optimization problems(DOPs) described by differential equations are often encountered in chemical engineering. Deterministic techniques based on mathematic programming become invalid when the models are non-differentiable or explicit mathematical descriptions do not exist. Recently, evolutionary algorithms are gaining popularity for DOPs as they can be used as robust alternatives when the deterministic techniques are invalid. In this article, a technology named ranking-based mutation operator(RMO) is presented to enhance the previous differential evolution(DE) algorithms to solve DOPs using control vector parameterization. In the RMO, better individuals have higher probabilities to produce offspring, which is helpful for the performance enhancement of DE algorithms. Three DE-RMO algorithms are designed by incorporating the RMO. The three DE-RMO algorithms and their three original DE algorithms are applied to solve four constrained DOPs from the literature. Our simulation results indicate that DE-RMO algorithms exhibit better performance than previous non-ranking DE algorithms and other four evolutionary algorithms. | Xu Chen Wenli Du Feng Qian | 2016 | Chinese Journal of Chemical Engineering2016，24，11： | 3 |
| 10 | Genotypic variation in spatiotemporal distribution of canopy light interception in relation to yield formation in cotton显示文摘Background: Within-canopy interception of photosynthetically active radiation(PAR) impacts yield and other agronomic traits in cotton(Gossypium hirsutum L.). Field experiments were conducted to investigate the influence of 6 cotton varieties(they belong to 3 different plant types) on yield, yield distribution, light interception(LI), LI distribution and the relationship between yield formation and LI in Anyang, Henan, in 2014 and 2015.Result: The results showed that cotton cultivars with long branches(loose-type) intercepted more LI than did cultivars with short branches(compact-type), due to increased LI in the middle and upper canopy. Although loose-type varieties had greater LI, they did not yield significantly higher than compact-type varieties, due to decreased harvest index. Therefore, improving the harvest index by adjusting the source-to-sink relationship may further increase cotton yield for loose-type cotton. In addition, there was a positive relationship between reproductive organ biomass accumulation and canopy-accumulated LI, indicating that enhancing LI is important for yield improvement for each cultivar. Furthermore, yield distribution within the canopy was significantly linearly related to vertical LI distribution.Conclusion: Therefore, optimizing canopy structure of different plant type and subsequently optimizing LI distribution within the cotton canopy can effectively enhance the yield. | XING Fangfang HAN Yingchun FENG Lu ZHI Xiaoyu WANG Guoping YANG Beifang FAN Zhengyi LEI Yaping DU Wenli WANG Zhanbiao XIONG Shiwu LI Xiaofei Ll Yabing | 2018 | Journal of Cotton Research2018，1，3： | 3 |
| 11 | Ultrasensitive flexible broadband photodetectors achieving pA scale dark current显示文摘Organolead halide perovskite is a newly emerging low-cost,solution-processable material with a broadband absorption from the ultraviolet(UV)to visible(Vis)region,which has attracted a great deal of interest in high-performance optoelectronic devices.However,some practicable applications need a cover of UV–Vis–NIR region for photoelectric conversion,a task that remains a significant challenge for further extending the absorption toward the near-infrared radiation(NIR)region.Here,to the best of our knowledge,we prove for the first time an ultrasensitive flexible broadband photodetector based on porous organolead perovskitephthalocyanine heterostructure,which combines the synergetic properties of high UV–Vis absorbance of perovskite with enhanced NIR absorption for triclinic lead phthalocyanine.The photosensitivity of the as-prepared devices reaches up to 10^(4) at a low intensity of 10mWcm^(−2),which is among the largest values reported for broadband photodetectors.Significantly,performed at room temperature,the device achieves a pA scale dark current along with an ultrafast response speed of less than 0.6 ms for as-adopted full spectra.Our results provide an easy and promising route to develop low-cost,flexible and highly sensitive UV–Vis–NIR photodetectors. | Xiao Luo Feiyu Zhao Lili Du Wenli Lv Kun Xu Yingquan Peng Ying Wang Feiping Lu | 2017 | npj Flexible Electronics2017，1，1： | 2 |
| 12 | Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection显示文摘 | Xin Peng Yang Tang Wenli Du Feng Qian | 2017 | Frontiers of Chemical Science and Engineering2017，11，3： | 2 |
| 13 | Development of akinetic model for industrial oxidation of p-xylene by RBF-PLSand CCA显示文摘 | YAN Xuefeng DU Wenli QIAN Feng | 2004 | AIChE Journal:Process Systems Engineering2004，50，6： | 1 |
| 14 | Development of a Kinetic Model for Industrial Oxidation of p-Xylene by RBF-PLS and CGA显示文摘 | Yan Xuefeng Du Wenli Qian Feng | 2004 | AIChE Journal2004，50，6： | 1 |
| 15 | Thermodynamic analysis and process simulation of an industrial acetic acid dehydration system via heterogeneous azeotropic distillation显示文摘 | Huang Xiuhui Zhong Weimin Du Wenli | 2013 | Ind Eng Chem Res2013，52，： | 1 |
| 16 | Development of a kinetic model for industrial oxidation of p-xylene by RBF-PLS andCGA显示文摘 | Yan Xuefeng Du Wenli Qian Feng | 2004 | AIChEjournal2004，50，6： | 1 |
| 17 | A chaotic immune algorithmwith fuzzy adaptive parameters显示文摘 | He Hong Qian Feng Du Wenli | | 0，，06： | 1 |
| 18 | A hybrid genetic al- gorithm with the Baldwin effect 显示文摘 | Quan Yuan Feng Qian Wenli Du | 2010 | Information Sciences2010，，180： | 1 |
| 19 | Desorption of VOC from polymer adsorbent in multistage fluidized bed显示文摘The desorption process of volatile organic compounds(VOC)from a polymer adsorbent in counter-current multistage fluidized bed was studied.And a mathematical model considering the mass transfer dynamics was developed,which was validated from experiment data.The gaseous ethyl acetate mass transfer was discussed,and the limiting step is the intraparticle mass transfer of the desorption process.The value of intraparticle mass transfer coefficient is between 1.85×10-6 and 1.38×10-5 m·s-1 under temperature of 100–160°C.Experiments under different operating conditions were carried out.The effects of operating conditions such as gas–solid flow ratio,gas inlet temperature and total stage number of multistage fluidized bed on outlet VOCs concentration and desorption efficiency were discussed.The maximum outlet VOCs concentration and corresponding desorption efficiency of the multistage fluidized bed desorber was calculated under different gas inlet temperatures and total stage numbers. | Jiale Zheng Wenli Song Lin Du Lina Wang Songgeng Li | 2020 | Chinese Journal of Chemical Engineering2020，28，6： | 1 |
| 20 | Component fractionation of wood-tar by column chromatography with the packing material of silica gel显示文摘Bio-oil can be an important fuel resource for automobiles in the future,while its complex composition restricts the direct application of the bio-oil extremely.So it is necessary to separate the complex mixture to relatively simplified fractions for goal directed specific treatments to reach the fuel quality for automobiles,and meanwhile different functional chemical materials and fine chemicals can be obtained.So it is significant to investigate the bio-oil component separating methods.Herein the method of column chromatography by the packing material of silica gel with two series of eluants of cyclohexane-benzene-methanol and cyclohexane-dichloromethane-methanol were investigated for component fractionation of the raw wood tar (oil fraction of the liquid product by slow pyrolysis of wood).The analytical results show that the components in cyclohexane are rich in alkoxyl-monophenols;the components of alkyl-monophenols and five ring oxygen-containing compounds are abundant in benzene and in dichloromethane similarly;in the methanol fraction,the components are diverse and diphenols are relatively in higher content,comparatively small polar molecules and five ring oxygen-containing compounds are more abundant in the methanol fraction after being eluted by dichloromethane,and the content of 1-(4-hydroxy-3-methoxyphenyl)-2-propanone is higher after being eluted by benzene. | WANG Ze LIN WeiGang SONG WenLi DU Lin LI ZhengJie YAO JianZhong | 2011 | Chinese Science Bulletin2011，56，14： | 1 |
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