Articles by Mehdi Irannajad
 

Column flotation performance prediction: PCA, ANN and image analysis-based approaches
Fardis Nakhaei, Mehdi Irannajad, Sima Mohammadnejad
Physicochem. Probl. Miner. Process. 2019;55(5):1298–1310
DOI: https://doi.org/10.5277/ppmp19054
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Simultaneous optimization of flotation column performance using genetic evolutionary algorithm
Fardis Nakhaei, Mehdi Irannajad, Majid Yousefikhoshbakht
Physicochem. Probl. Miner. Process. 2016;52(2):874–893
DOI: https://doi.org/10.5277/ppmp160228
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Adsorption of Zn2+, Cd2+ and Cu2+ on zeolites coated by manganese and iron oxides
Mehdi Irannajad, Hossein Kamran Haqhighi, Mehrdad Soleimanipour
Physicochem. Probl. Miner. Process. 2016;52(2):894–908
DOI: https://doi.org/10.5277/ppmp160229
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Application of D-optimal design for optimizing copper-molybdenum sulphides flotation
Fardis Nakhaei, Mehdi Irannajad, Abbas Sam, Ali Jamalzadeh
Physicochem. Probl. Miner. Process. 2016;52(1):252–267
DOI: https://doi.org/10.5277/ppmp160122
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Finite Element Method Based Simulation of Electrical Breakage of Iron-Phosphate Ore
Seyed Mohammad Razavian, Bahram Rezai, Mehdi Irannajad
Physicochem. Probl. Miner. Process. 2015;51(1):137–150
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Effect of oxidation roasting on ilmenite flotation
Akbar Mehdilo, Mehdi Irannajad, Bahram Rezai
Physicochem. Probl. Miner. Process. 2014;50(2):493–505
DOI: https://doi.org/10.5277/ppmp140206
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Investigation of effective parameters for molybdenite recovery from porphyry copper ores in industrial flotaion circuit
Fardis Nakhaei, Mehdi Irannajad
Physicochem. Probl. Miner. Process. 2014;50(2):477–491
DOI: https://doi.org/10.5277/ppmp140205
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Prediction of on-line froth depth measurement errors in industrial flotation columns: A promising tool for automatic control
Fardis Nakhaei, Mehdi Irannajad
Physicochem. Probl. Miner. Process. 2013;49(2):757–768
DOI: https://doi.org/10.5277/ppmp130232
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Characterization and beneficiation of iranian low-grade manganese ore
Akbar Mehdilo, Mehdi Irannajad, Mohammad Reza Hojjati-Rad
Physicochem. Probl. Miner. Process. 2013;49(2):725–741
DOI: https://doi.org/10.5277/ppmp130230
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Comparison between neural networks and multiple regression methods in metallurgical performance modeling of flotation column
Fardis Nakhaei, Mehdi Irannajad
Physicochem. Probl. Miner. Process. 2013;49(1):255–266
DOI: https://doi.org/10.5277/ppmp130123
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Separation of nickel and zinc ions in a synthetic acidic solution by solvent extraction using D2EHPA and Cyanex 272
Mahdi Gharabaghi, Mehdi Irannajad, Amir Reza Azadmehr
Physicochem. Probl. Miner. Process. 2013;49(1):233–242
DOI: https://doi.org/10.5277/ppmp130121
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Flotation of zinc oxide ore using cationic and cationic-anionic mised collectors
Akbar Mehdilo, Mehdi Irannajad, Hossein Zarei
Physicochem. Probl. Miner. Process. 2013;49(1):145–156
DOI: https://doi.org/10.5277/ppmp130114
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Iron removing from titanium slag for synthetic rutile
Akbar Mehdilo, Mehdi Irannajad
Physicochem. Probl. Miner. Process. 2012;48(2):425–439
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Acidic leaching of cadmium from zinc plant residue
Mahdi Gharabaghi, Mehdi Irannajad, Amir Reza Azadmehr
Physicochem. Probl. Miner. Process. 2011;47(1):91–104
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Facilitated transport of germanium from acidic medium through supported liquid membrane using Cyanex 301 as mobile carrier
Hossein Kamran Haghighi, Mehdi Irannajad, Davood Moradkhani
Physicochem. Probl. Miner. Process. 2019;55(1):225–236
DOI: https://doi.org/10.5277/ppmp18124
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A new approach in separation process evaluation. Efficiency ratio and upgrading curves
Mehdi Irannajad, Omid Salmani Nuri, Ebrahim Allahkarami
Physicochem. Probl. Miner. Process. 2018;54(3):847–857
DOI: https://doi.org/10.5277/ppmp1886
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