Search Results - "Pan, Renhu"

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  1. 1

    Numerical simulation of fluidized dense-phase pneumatic conveying of powders to develop improved model for solids friction factor by Kaur, Baldeep, Mittal, Anu, Mallick, S.S., Pan, Renhu, Jana, Soumendu

    Published in Particuology (01-12-2017)
    “…Accurate prediction of the solids friction factor through horizontal straight pipes is important for the reliable design of a pneumatic conveying system, but…”
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    Journal Article
  2. 2

    Validated scale-up procedure to predict blockage condition for fluidized dense-phase pneumatic conveying systems by Setia, G., Mallick, S.S., Wypych, P.W., Pan, Renhu

    Published in Particuology (01-12-2013)
    “…This paper presents results of an ongoing investigation into modelling fluidized dense-phase pneumatic conveying of powders. For the reliable design of…”
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    Journal Article
  3. 3

    An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization by Xu, Dejun, Jiang, Min, Hu, Weizhen, Li, Shaozi, Pan, Renhu, Yen, Gary G.

    “…Real-world multiobjective optimization problems usually involve conflicting objectives that change over time, which requires the optimization algorithms to…”
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    Journal Article
  4. 4

    On developing improved modelling for particle velocity and solids friction for fluidized dense-phase pneumatic transport systems by Sharma, Kapil, Mallick, S.S., Mittal, Anu, Pan, Renhu

    Published in Powder technology (01-06-2018)
    “…Pneumatic transport of fine powders in fluidized dense-phase pneumatic conveying of powders has become popular in several industries because it offers various…”
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    Journal Article
  5. 5

    Pneumatic Conveying Characteristics of Fine and Granular Bulk Solids by Pan, Renhu, Mi, Bo, Wypych, Peter

    Published in KONA Powder and Particle Journal (1994)
    “…Fine and granular products possess significantly different pneumatic conveying characteristics. Fine products usually have smooth conveying characteristic…”
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    Journal Article
  6. 6

    Hybrid Estimation of Distribution Based on Knowledge Transfer for Flexible Job-shop Scheduling Problem by Cao, Lulu, Jiang, Min, Feng, Liang, Lin, Qiuzhen, Pan, Renhu, Chen Tan, Kay

    “…In this work, we introduce a new method called G-EDA for solving flexible job-shop scheduling problems (FJSP). Based on the investigation of current works, it…”
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    Conference Proceeding
  7. 7

    An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization by Xu, Dejun, Jiang, Min, Hu, Weizhen, Li, Shaozi, Pan, Renhu, Yen, Gary G

    Published 24-02-2021
    “…Real-world multiobjective optimization problems usually involve conflicting objectives that change over time, which requires the optimization algorithms to…”
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    Journal Article