J. D. Miller , Professor University of Utah SLC, UT 84112 USA An alternative approach to the conventional washing and flotation techniques for de-inking of mixed office waste (MOW) is magnetic separation. The use of magnetic de-inking has great potential to improve the efficiency of ink removal due to the magnetic content of toners. It is shown experimentally that the magnetic susceptibility of...

The research is aimed at study of the probable recovery iron from tailings Olcon mining company located in north-western Arctic zone Russia. Material composition a sample dump was analysed. authors have developed separation production technology to recover magnetite-hematite concentrate tailings. A processing flowsheet includes magnetic separation, milling and gravity concentration methods. pro...

Algorithms for classification and taxonomy based on criteria such as information entropy and its production are proposed. As an example, the feasibility of replacing a given anaesthetic by similar ones in the composition of a complex drug is studied. Some local anaesthetics currently in use are classified using characteristic chemical properties of different portions of their molecules. Many cl...

This paper introduces a novel simultaneous optimization and heat integration approach, which can be used directly with the rigorous models in process simulators. In this approach, the overall process is optimized utilizing external derivative-free optimizers, which interact directly with the process simulation. The heat integration subproblem is formulated as an LP model and solved simultaneous...

The Chalmers grouped actinide extraction (CHALMEX) process is focused on the co-separation of actinides from all other elements in spent nuclear fuel solution, with ultimate purpose transmuting into shorter-lived and less radiotoxic elements. Based solvent equilibrium distribution data fission products, a preliminary flowsheet was developed tested batch mode. consists one step CHALMEX FS-13 (25...

This paper presents a new and efficient method, based on stochastic annealing, to identify optimal design configurations from a large number of process alternatives, considering the effects of uncertainty. Case studies of an integrated coal gasification combined cycle (IGCC) power plant are presented to illustrate this method. For this case, the new stochastic synthesis framework reduced comput...