A5102754310- Process Optimization and Integration
- Advanced Control Systems Optimization
- Carbon Dioxide Capture Technologies
- Robotic Mechanisms and Dynamics
- Fault Detection and Control Systems
- Robot Manipulation and Learning
- Hydraulic and Pneumatic Systems
- Advanced battery technologies research
- Advanced Data Processing Techniques
- Advanced Multi-Objective Optimization Algorithms
- Advanced Photocatalysis Techniques
- Field-Flow Fractionation Techniques
- Ammonia Synthesis and Nitrogen Reduction
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Transition Metal Oxide Nanomaterials
- Phase Equilibria and Thermodynamics
- Soft Robotics and Applications
- Gas Sensing Nanomaterials and Sensors
- Catalysts for Methane Reforming
- Remote Sensing and Land Use
- Crystallization and Solubility Studies
- Advanced Thermodynamics and Statistical Mechanics
- Nanomaterials for catalytic reactions
- Catalytic Processes in Materials Science
Chongqing University of Science and Technology
2021-2024
Hebei University of Engineering
2019-2024
Yanshan University
2014-2024
North China University of Science and Technology
2024
Harbin University of Science and Technology
2020-2022
National University of Singapore
2018-2020
Chongqing University
2018-2020
Harbin University
2020
The core–shell structure of the Fe<sub>1.89</sub>Mo<sub>4.11</sub>O<sub>7</sub>/FeS<sub>2</sub>@C hybrid material exhibits high-efficiency electrocatalytic NRR activity and stability under ambient conditions.
This tutorial and review of multi-objective optimization (MOO) gives a detailed explanation the 5 steps to create, solve, then select optimum result. Unlike single-objective optimization, fifth step selection or ranking solutions is often overlooked by authors papers dealing with MOO applications. It necessary undertake multi-criteria analysis choose best solution. A recent publications using for chemical process engineering problems shows doubling between 2016 2019. applications in energy...
Electrode modification of VRFB with “3Es”.
Extractive dividing-wall column (EDWC) was proved to be a promising energy-saving technique for the separation of multiple azeotropes or close-boiling mixtures; however, its controllability is very challenging due intensified structure with smaller physical space and strong interactions. Most studies on EDWC control focused evaluating performance temperature composition using proportional-integral (PI) control; nevertheless, significant steady-state offsets overshoots are present in two...
As a combination of the conventional reactive distillation (RD) and diving-wall column, column (RDWC) is highly thermally integrated process that has advantages higher thermodynamic efficiency, lower capital cost, smaller equipment size. In this study, conceptual design four different RD processes, i.e., RD, RDWC, heat-integrated RDWC (HIRDWC), vapor recompression heat-pump-assisted (VRHP-RDWC), was presented for production n-propyl acetate via esterification n-propanol with acetic acid. The...
Large amounts of gas mixtures CO2 and hydrocarbons are generated in the CO2-enhanced oil recovery (CO2-EOR) process, their separation is very challenging due to formation a minimum-boiling azeotrope ethane. Hence, this work, an intensified triple-column extractive distillation (ITCED) based on process proposed by Ebrahimzadeh et al. [ Appl. Therm. Eng. 2016, 96, 39−47], developed optimized using mixed-integer nonlinear programming (MINLP) method terms minimal total annual cost (TAC) separate...
The optimal design of TriPower shovel attachment remains a challenging task although face excavators work well in mines all over the world. To address this issue, we establish multiobjective optimization model attachment, which sets three kinematic indicators and two mechanical as objective functions. An improved evolutionary algorithm (MOEA) based on decomposition is proposed to solve problem, outperforms several representative MOEAs case study, lot nondominated solutions are obtained....
To mitigate problems concerning small-sized spots on apple leaves and the difficulties associated with accurate detection of spot targets exacerbated by complex backgrounds orchards, this research used alternaria leaf spots, rust, brown gray frog eye as object proposed use a high-accuracy model YOLOv5-Res (YOLOv5-Resblock) lightweight YOLOv5-Res4 (YOLOv5-Resblock-C4). Firstly, multiscale feature extraction module, ResBlock (residual block), was designed combining Inception multi-branch...