1 |
Fuzzy distributional chance-constrained programming for handling stochastic and epistemic uncertainties during flotation processes Liang Y, He DK, Wang QK, Lu XL Chemical Engineering Research & Design, 164, 248, 2020 |
2 |
비산재로부터 유용성분을 회수하는 청정부유선별공정 한광수, 김둘선, 이동근 Clean Technology, 26(3), 177, 2020 |
3 |
A novel regrinding circuit to deal with fluctuation in feed grade at the Sarcheshmeh copper complex Agheli S, Hosseini M, Shirazi HHA, Hassas BV Separation Science and Technology, 55(1), 98, 2020 |
4 |
A cascaded recognition method for copper rougher flotation working conditions Lu M, Xie DH, Gui WH, Wu LH, Chen CY, Yang CH Chemical Engineering Science, 175, 220, 2018 |
5 |
Recognition of flotation working conditions through froth image statistical modeling for performance monitoring Zhang J, Tang ZH, Liu JP, Tan Z, Xu PF Minerals Engineering, 86, 116, 2016 |
6 |
Approximate recovery values for each stage are sufficient to select the concentration circuit structures Cisternas LA, Jamett N, Galvez ED Minerals Engineering, 83, 175, 2015 |
7 |
A cost-effective strategy for marine microalgae separation by electro-coagulation-flotation process aimed at bio-crude oil production: Optimization and evaluation study Golzary A, Imanian S, Abdoli MA, Khodadadi A, Karbassi A Separation and Purification Technology, 147, 156, 2015 |
8 |
The use of global sensitivity analysis for improving processes: Applications to mineral processing Sepulveda FD, Cisternas LA, Galvez ED Computers & Chemical Engineering, 66, 221, 2014 |
9 |
Flotation process design based on energy input and distribution Gui XH, Liu JT, Cao YJ, Cheng G, Li SL, Wu L Fuel Processing Technology, 120, 61, 2014 |
10 |
A review of froth flotation control Shean BJ, Cilliers JJ International Journal of Mineral Processing, 100(3-4), 57, 2011 |