| 1 |
A comprehensive analysis for second law attributes of spiral heat exchanger operating with nanofluid using two-phase mixture model: Exergy destruction minimization attitude
Bahiraei M, Mazaheri N
Advanced Powder Technology, 32(1), 211, 2021 |
| 2 |
Two-phase analysis of nano fl uid fl ow within an innovative four-layer microchannel heat exchanger: Focusing on energy ef fi ciency principle
Mazaheri N, Bahiraei M, Razi S
Powder Technology, 383, 484, 2021 |
| 3 |
Modeling nanofluid droplet impingement on a superheated surface
Pournaderi P, Deilami M
Powder Technology, 381, 68, 2021 |
| 4 |
Privacy-preserving distributed parameter estimation for probability distribution of wind power forecast error
Jia MS, Huang SW, Wang ZW, Shen C
Renewable Energy, 163, 1318, 2021 |
| 5 |
Mixture robust L1 probabilistic principal component regression and soft sensor application
Zhu PB, Yang XQ, Zhang H
Canadian Journal of Chemical Engineering, 98(8), 1741, 2020 |
| 6 |
Effects of porous material on transient natural convection heat transfer of nano-fluids inside a triangular chamber
Izadi M
Chinese Journal of Chemical Engineering, 28(5), 1203, 2020 |
| 7 |
Multimodal process monitoring based on transition-constrained Gaussian mixture model
Chen ST, Jiang QC, Yan XF
Chinese Journal of Chemical Engineering, 28(12), 3070, 2020 |
| 8 |
Growth Sources of Green Economy and Energy Consumption in China: New Evidence Accounting for Heterogeneous Regimes
Liu GC, Liu YY, Lee CC
Energy Journal, 41(6), 33, 2020 |
| 9 |
Remote State Estimation With Stochastic Event-Triggered Sensor Schedule and Packet Drops
Xu L, Mo YL, Xie LH
IEEE Transactions on Automatic Control, 65(11), 4981, 2020 |
| 10 |
A Robust Infinite Gaussian Mixture Model and Its Application in Fault Detection of Nonlinear Multimode Processes
Pan Y, Xie L, Su HY, Luo L
Journal of Chemical Engineering of Japan, 53(12), 758, 2020 |
