| 629 - 633 |
Some factors that affect beneficiation of sulphide nickel-copper ores
Kirjavainen V, Heiskanen K |
| 634 - 645 |
Review of theory and practice of measuring proton activity and pH in concentrated chloride solutions and application to oxide leaching
Senanayake G |
| 646 - 652 |
Modeling of energy loss to the environment from a grinding mill. Part I: Motivation, literature survey and pilot plant measurements
Kapakyulu E, Moys MH |
| 653 - 661 |
Modeling of energy loss to the environment from a grinding mill. Part II: Modeling the overall heat transfer coefficient
Kapakyulu E, Moys MH |
| 662 - 669 |
Use of rock mechanical properties to predict the Bond crushing index
Refahi A, Rezai B, Mohandesi JA |
| 670 - 674 |
Enhanced leaching of copper from chalcopyrite in hydrogen peroxide-glycol system
Mahajan V, Misra M, Zhong K, Fuerstenau MC |
| 675 - 683 |
Effects of high Mg2+ concentration on KCl flotation: Part I - Laboratory research
Weedon D, Grano S, Akroyd T, Goncalves K, Moura R |
| 684 - 693 |
Recovery of titanium compounds from molten Ti-bearing blast furnace slag under the dynamic oxidation condition
Zhang L, Zhang LN, Wang MY, Li GQ, Sui ZT |
| 694 - 700 |
Simulated small-scale pilot plant heap leaching of low-grade oxide zinc ore with integrated selective extraction of zinc
Qin WQ, Li WZ, Lan ZY, Qui GZ |
| 701 - 709 |
Effect of grinding parameters on the rheology of pyrite-heptane slurry in a laboratory stirred media mill
Ding ZY, Yin ZL, Liu L, Chen QY |
| 710 - 715 |
Operating parameters that affect the carrying capacity of column flotation of a zinc sulfide mineral
Uribe-Salas A, Perez-Garibay R, Nava-Alonso F |
| 716 - 721 |
Effects of high magnesium ion concentration on KCl flotation: Part II -Plant research
Weedon D, Grano S, Akroyd T, Goncalves K, Moura R |
| 722 - 728 |
Recovery of copper, nickel and cobalt from acidic pressure leaching solutions of low-grade sulfide flotation concentrates
Huang K, Li QW, Chen J |
| 729 - 737 |
Prediction of cyanide recovery from silver leaching tailings with AVR using multivariable regression analysis
Vapur H, Bayat O |
