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Cantilever beam shape control with light activated polymers using hierarchical particle swarm optimizer

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES 2021年第9期28卷 919-927页

作者： Zhao, Yu Zheng, Shijie Li, Zongjun Nanjing Univ Aeronaut & Astronaut State Key Lab Mech & Control Mech Struct Nanjing Jiangsu Peoples R China Pan Asia Tech Automot Ctr Co Ltd Shanghai Peoples R China

A shape control with light activated polymers (LAPs) is designed in present article. Under ultraviolet light irradiation, the structures of crosslink networks in LAPs alter. Such alterations lead to macroscopical deformation. On this basis, LAPs possess the potential to be actuators. For shape control, so many parameters of actuators could be optimized. A three-layer hierarchical particle swarm optimizer (HPSO) algorithm is proposed to search the appropriate group of LAPs numbers, locations and lengths. Numerical simulations (monotonic function shape control and non-monotonic function shape control) illustrate that HPSO is effective.

关键词： Hierarchical particle swarm optimizer light activated polymers multi-parameter optimization shape control cantilever beam

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Analysis and optimization of multiple factors influencing fracturing induced stress field

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JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY 2020年第1期10卷 171-181页

作者： Guan, Bing Li, Shibin Liu, Jiran Zhang, Ligang Chen, Shuangqing Northeast Petr Univ Key Lab Educ Minist Enhancing Oil & Gas Recovery Daqing Heilongjiang Peoples R China Daqing Oilfield Co Ltd Operating Crew Oil Prod Plant 2 Daqing Heilongjiang Peoples R China

The induced stress field caused by hydraulic fracturing plays a key role in controlling the formation characteristics of fractures and is the essential prerequisite for optimal design of fracturing parameters. In order to determine the disturbance range of induced stress field on fracture morphology, the multiple factors analysis and optimization are an important inspect. Setting the induced stress control range (ISCR) as the evaluation objective, it can be defined as the combined response of the peak value of induced stress difference and stress steering distance, taking them as double evaluation indexes. Six uncertain fracture parameters with a reasonable range are used to fit the response of evaluation indexes. Through the finite element numerical simulation method, the induced stress field around the fractures can be calculated and the evaluation indexes are described quantitatively. Applying the multi-factor orthogonal test method, combined the matrix analysis model with the fuzzy comprehensive evaluation model, these fracture parameters are evaluated and optimized. The results show that the influence factors on the ISCR in the descending order are determined as follows: fracture height, fracture net pressure, Poisson's ratio, maximum and minimum horizontal stress ratio, fracture spacing and its number. According to the multi-factors sensitivity analysis results, the selected levels of different factors are optimized and the combination of parameters optimization is screened out. It provides a theoretical basis to control the reservoir stress field for the optimization of the field fracturing treatment.

关键词： Hydraulic fracturing Induced stress control range (ISCR) Influencing factors Sensitivity evaluation multi-parameter optimization

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optimization of a closed Brayton cycle for space power systems

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APPLIED THERMAL ENGINEERING 2020年 179卷 115611-115611页

作者： Liu, Haiqing Chi, Zhongran Zang, Shusheng Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200240 Peoples R China

This paper describes an optimization study of the space power system based on a closed Brayton cycle (CBC). The objective of the work is to minimize the total mass of power system through optimizing the critical parameters of system components. Non-dominated Sorting Genetic Algorithm (NSGA-II) was used to optimize the total system mass, together with performance calculation of the CBC system and the design modules of the components. Component mass predicted by the regenerator module developed in this work shows a good agreement with empirical data. The optimal values of the critical parameters in the Pareto Front, corresponding to designs with smallest system mass at specific turbine inlet temperatures, were presented and discussed. Furthermore, a sensitivity analysis of the parameters was conducted using Garson Algorithm. Results show that an increase of 4% of the turbine inlet temperature from 1150 K results in a decrease of 6% of the system mass. It is also suggested that the regenerator heat effectiveness is a key design parameter to minimize the system mass. The analysis presents the importance of detailed design variables of components in a CBC system design.

关键词： multi-parameter optimization Closed Brayton cycle parameter sensitivity

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Analysis and optimization of material physical characteristics for electrolytic air dehumidifier with a PEM

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APPLIED THERMAL ENGINEERING 2020年 169卷 114929-000页

作者： Li, Heyong Qi, Ronghui Zhang, Li-zhi South China Univ Technol Sch Chem & Chem Engn Key Lab Enhanced Heat Transfer & Energy Conservat Educ Minist Guangzhou 510640 Peoples R China South China Univ Technol State Key Lab Subtrop Bldg Sci Guangzhou 510640 Peoples R China

Electrolytic dehumidification based on polymer electrolyte membrane (PEM) has the advantages of environment-friendly, compact structure and convenient operation. Thermal and economic performance of this dehumidifier are closely related to its material characteristics, while most previous studies focused on the effects of operation parameters. In this paper, using a 2-D steady-state model solved by the finite difference method, the influences of various material physical characteristics within the dehumidification module on dehumidification performance (dehumidification rate, operating current, mass transfer/electrical resistance and cost) have been investigated. Results showed that the CLA's (anode catalyst layers) physical characteristics has great effect on the moisture removal rate, followed by PEM's, and the smallest was DLA's (anode diffusion layers). When the CLA tortuosity doubled, the removal rate enhanced by about 85%, while the rate changed hardly with the change of the DLC (cathode diffusion layers)and CLC (cathode catalyst layers). Furthermore, the mass transfer resistance changed significantly with the CLA material characteristics, while the electrical resistance mainly changed with the thickness of PEM. Then, optimization was conducted by the genetic algorithm (GA), to obtain optimal material parameters for optimized thermal and economic performance. It is found that the optimization of CLA materials is the key to improve the dehumidification rate, such as properly increasing the tortuosity or thickness and decreasing the porosity or pore diameter. The research provided a theoretical basis and practical guidelines for system optimization, which helps the research and engineering of electrolytic dehumidifier with a PEM.

关键词： Electrolytic air dehumidification Material physical characteristics Numerical simulation Genetic algorithm multi-parameter optimization

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Weak fault feature extraction of rolling bearing based on multi-system coupled cascaded stochastic resonance system

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MEASUREMENT SCIENCE AND TECHNOLOGY 2024年第3期35卷 035108-035108页

作者： Li, Jimeng Peng, Junling Zhang, Shi Zhang, Jinfeng Meng, Zong Yanshan Univ Coll Elect Engn Qinhuangdao 066004 Peoples R China Yanshan Univ Liren Coll Qinhuangdao Peoples R China

The accurate extraction of weak signal features under strong noise background plays a crucial role in the fault detection of rolling bearings. In order to promote the ability of stochastic resonance (SR) system to detect weak signals and improve the output performance of the system, a multi-system coupled cascaded SR (MCCSR) system is investigated and applied to the fault detection of rolling bearings. Firstly, a MCCSR system is constructed by exploiting the positive synergistic effect between multiple systems, which consists of a triangular-topology coupled system composed of three SR subsystems and a cascaded SR system with topology output as input. This system makes full use of the advantages of coupled system and cascaded system in weak signal detection. In terms of parameter optimization, a stepwise multi-parameter optimization strategy is proposed, which adopts different optimization methods for different parameters, and avoids the inconsistency between error and step factor by improving the least mean square algorithm. Finally, through the comparative analysis of numerical simulation and experimental signals, it is verified that the proposed method can effectively enhance the weak signal features and improve the system output signal-to-noise ratio, which can better serve for rolling bearing fault detection.

关键词： rolling bearing fault feature extraction stochastic resonance multi-parameter optimization coupled system cascaded system

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Optimal Design and multi-parameter Sensitivity Analysis of a Segmented Thermoelectric Generator

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PROCESSES 2023年第12期11卷 3352页

作者： Yin, Tao Ren, Deliang Ma, Xiao Wei, Yuanzhen Gao, Qiang Han, Xingchang Chen, Yongping Shandong Acad Agr Machinery Sci Jinan 250100 Peoples R China State Key Lab Intelligent Agr Power Equipment Luoyang 471039 Peoples R China

Thermoelectric generators are high-profile energy conversion devices that can convert heat energy into electricity. In this study, a novel 1D resistance model was established to evaluate the performance of a segmented thermoelectric generator (STEG) with variable properties, and the genetic algorithm was adopted to optimize the performance. Then, influence factor analysis, multi-parameter optimization, and sensitivity analysis for an STEG couple were conducted. The results showed the great influence of geometric sizes on performance. Moreover, the optimal length ratio between the length of the high-temperature segment and the total leg length increased when the temperature difference (Delta T) was raised, but it remained unchanged as the convective heat transfer coefficient (h) changed. Furthermore, the ratio of the leg length to its cross-sectional area is affected by thermal conditions and the length ratio, while the cross-sectional area ratio between P- and N-type thermoelectric legs was not affected by the convective heat transfer coefficient. Under the conditions of Delta T = 300 K and h = 2000 W/m2K, the maximum power increased by 11.02%. Finally, the global sensitivity analysis found that material properties, especially the Seebeck coefficient, dominate the influence on optimal power. These results could contribute to the optimal design of STEGs.

关键词： segmented thermoelectric generator variable properties multi-parameter optimization sensitivity analysis

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Design and thermodynamic analysis of an advanced liquid air energy storage system coupled with LNG cold energy, ORCs and natural resources

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ENERGY 2023年第1期275卷

作者： Lu, Yilin Xu, Jingxuan Chen, Xi Tian, Yafen Zhang, Hua Univ Shanghai Sci & Technol Sch Energy & Power Engn 516 Jungong Rd Shanghai 200093 Peoples R China Univ Shanghai Sci & Technol Shanghai Key Lab Multiphase Flow & Heat Transfer P 516 Jungong Rd Shanghai 200093 Peoples R China

Liquid air energy storage (LAES) is a kind of cryogenic energy storage technology that offers the advantages of relatively sizeable volumetric energy density and ease of storage, which will have good application prospects for power management systems in the future. An advanced LAES system coupled with LNG cold energy, ORCs and natural resources is proposed in this paper, in which external energy sources are simultaneously utilized in both the energy storage and energy release process to enhance the system performance. The cold storage subsystem is designed to recover LNG cold energy during peak hours for flexible operation. Organic Rankine cycles are established in both LNG regasification process and energy release process, thus entirely using cold energy to improve energy efficiency. multi-parameter genetic algorithm is adopted to achieve optimal performance. It turns out that the proposed LAES system has high electrical round-trip efficiency and exergy efficiency compared to the existing LAES systems, yielding 240.7% and 80.2% respectively. The thermodynamic and exergy analysis indicates that the proposed system is characterized by operational flexibility and exceedingly high efficiency. The results show that the system might play an essential role in power systems balancing.

关键词： Liquid air energy storage LNG External energy utilization multi-parameter optimization Thermodynamic analysis

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Research on optimization of multi-controller Coordinated Control parameters in Power System

International Core Journal of Engineering

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International Core Journal of Engineering 2022年第4期8卷 348-362页

作者： Yunfeng Zhang Xihuai Wang

In order to solve the problem of high complexity of coordinated control between power system stabilizer (PSS) and static var compensator (SVC), a new optimization method based on neighborhood rough set theory and shuffled frog leaping algorithm is proposed. Single machine infinite bus system and two machine power system with PSS and SVC are established, and the redundant control parameters are reduced to the maximum by using neighborhood rough set. The shuffled frog leaping algorithm is used to search the optimal parameters of the coordinated control of PSS and SVC. The simulation results show that the combinatorial optimization method has been successfully applied to the coordinated control of PSS and SVC. The optimization result of the reduced neighborhood rough set is basically consistent with that of the full-parameter optimization, but the optimization difficulty is lower and the optimization time is shorter. Therefore, the proposed method can effectively reduce the difficulty of control optimization on the basis of ensuring the control effect of power system. The effectiveness of the method is verified by the single-machine infinite bus system and its expansibility is confirmed by the two-machine power system.

关键词： Power System Stability Neighborhood Rough Set Shuffled Frog Leaping Algorithm multi-parameter optimization

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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody

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MABS 2024年第1期16卷 2304282页

作者： Dai, Jing Izadi, Saeed Zarzar, Jonathan Wu, Patrick Oh, Angela Carter, Paul J. Genentech Inc Dept Antibody Engn South San Francisco CA 94080 USA Genentech Inc Dept Pharmaceut Dev South San Francisco CA 94080 USA Genentech Inc Dept Bioanalyt Sci South San Francisco CA 94080 USA Genentech Inc Dept Struct Biol South San Francisco CA 94080 USA Genentech Inc Antibody Engn 1 DNA Way South San Francisco CA 94080 USA

Subcutaneous injection is the preferred route of administration for many antibody therapeutics for reasons that include its speed and convenience. However, the small volume limit (typically <= 2 mL) for subcutaneous delivery often necessitates antibody formulations at high concentrations (commonly >= 100 mg/mL), which may lead to physicochemical problems. For example, antibodies with large hydrophobic or charged patches can be prone to self-interaction giving rise to high viscosity. Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG(1) antibody prone to self-interaction. An extensive mutational analysis was undertaken of the complementarity-determining region residues residing in hydrophobic surface patches predicted by spatial aggregation propensity, in conjunction with residue-level solvent accessibility, averaged over conformational ensembles from molecular dynamics simulations. Dynamic light scattering (DLS) was used as a medium throughput screen for self-interaction of similar to 200 anti-GCGR IgG(1) variants. A negative correlation was found between the viscosity determined at high concentration (180 mg/mL) and the DLS interaction parameter measured at low concentration (2-10 mg/mL). Additionally, anti-GCGR variants were readily identified with reduced viscosity and antigen-binding affinity within a few fold of the parent antibody, with no identified impact on overall developability. The methods described here may be useful in the optimization of other antibodies to facilitate their therapeutic administration at high concentration.

关键词： Antibody intermolecular interactions multi-parameter optimization reversible self-association rheology subcutaneous delivery viscosity

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Ultralow confinement loss anti-resonant fibers designed by swarm intelligence

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OPTICS COMMUNICATIONS 2023年 530卷

作者： Huang, Shaowei Ye, Jianwei Xu, Yi Li, Jianping Fu, Songnian Wang, Yuncai Qin, Yuwen Guangdong Univ Technol Sch Informat Engn Inst Adv Photon Technol Guangzhou Peoples R China Guangdong Univ Technol Guangdong Prov Key Lab Informat Photon Technol Guangzhou 510000 Peoples R China Guangdong Univ Technol Synergy Innovat Inst Heyuan 517000 Peoples R China

Anti-resonant fibers featured with multiple cladding tubes are promising light guiding media with a broadband low-loss transmission window in the optical spectrum. Herein, we numerically demonstrate anti-resonant fibers with ultra-low confinement loss and good single mode property, which is automatically designed by swarm intelligence. The basic idea of the particle swarm optimization algorithm is to find the optimal solution by the cooperation and information sharing among particles in the group. It is demonstrated that the particle swarm optimization algorithm can be utilized to design such anti-resonant fibers with multiple geometry parameters. By breaking the mirror symmetry of the fiber's cross section, the coupling between the fundamental mode and cladding mode is further suppressed than the mirror symmetry one. As a result, ultra-low confinement loss as small as 2.2 x 10-8 dB/m can be achieved in simulation. Our results might facilitate the advanced applications of nested anti-resonant fibers in optical communication and high energy pulsed laser, etc.

关键词： Anti-resonant fiber multi-parameter optimization Particle swarm optimization Ultra-low loss Single-mode

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