Haojie Li

ORCID: 0009-0005-0820-5195
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About
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Research Areas
  • Fluid Dynamics and Mixing
  • Nuclear Engineering Thermal-Hydraulics
  • Advancements in Battery Materials
  • Recycling and Waste Management Techniques
  • Advanced Sensor and Control Systems
  • Water Systems and Optimization
  • Extraction and Separation Processes
  • Advanced Algorithms and Applications
  • Fault Detection and Control Systems
  • Data Stream Mining Techniques
  • Time Series Analysis and Forecasting

Qingdao University of Science and Technology
2014-2018

Abstract Efficient recycling of lithium metasilicate (Li 2 SiO 3 ) from lithium-containing slag via a pyrometallurgical route demands comprehensive understanding its solidification process in the reactor. A simulation framework is developed to predict heterogeneous phase distribution Li , temperature and velocity fields considering density changes solidifying melt, on apparatus scale. This integrates thermodynamic models calculation diagrams with enthalpy-porosity technique volume fluid...

10.1007/s11705-025-2543-4 article EN cc-by Frontiers of Chemical Science and Engineering 2025-04-13

Based on the conductance fluctuating signals of gas–liquid two-phase flow measured in a vertical upward pipe, multi-scale order recurrence quantification analysis method is used to research dynamic characteristics typical patterns. We obtain each scale signal by ensemble empirical mode decomposition, and then draw plot (ORP) signal. In test effect ORP, we conduct quantitative ORP through averaged diagonal length. The results show that can characterize pattern. Compared with (RP), clearly...

10.1177/0142331214546881 article EN Transactions of the Institute of Measurement and Control 2014-08-29

In this paper, the base-scale entropy and root mean square energy analysis method are combined to present a simple quick strategy extract features of gas–liquid two-phase flow characterize different patterns. order verify effectiveness extracted features, we calculate their separability measure values. The experimental results show that proposed in paper can not only distinguish patterns but also complement each other.

10.1080/21642583.2018.1547884 article EN cc-by Systems Science & Control Engineering 2018-09-21

Fuzzy entropy algorithm is a new approach that proposed based on approximate and sample entropy. In this paper, we use these three methods to analyze the characteristics of flow patterns gas-liquid two phase flow, are also employed as comparison. The study shows relative entropy, fuzzy method has better gathering results, it can distinguish typical clearly. This provides way for flow.

10.1109/chicc.2015.7259833 article EN 2015-07-01
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