A methodology for the conceptual design of concentration circuits: Group contribution method

Abstract This paper presents a new methodology for the conceptual design of concentration circuits based on the group contribution method. The methodology includes three decision levels: (1) definition and analysis of the problem, (2) synthesis and screening of alternatives, and (3) final design. In this manuscript, the emphasis is on the description of the methodology, justification of the assumptions, and group contribution method. The group contribution models were developed to estimate the global recovery in concentration circuits. The procedure is general and can be applied to any circuit consisting of stages that generate two product streams: concentrate and tail. The developed models can be applied to estimate the recoveries in concentration circuits with a maximum of six stages. The models were fitted using mass balance data from 46 circuits, generating 35 process groups. Case studies were used to illustrate the methodology.

[1]  Edelmira D. Gálvez,et al.  Modeling of grinding and classification circuits as applied to the design of flotation processes , 2009, Comput. Chem. Eng..

[2]  D. Hamby A review of techniques for parameter sensitivity analysis of environmental models , 1994, Environmental monitoring and assessment.

[3]  Edelmira D. Gálvez,et al.  Effect of the objective function in the design of concentration plants , 2014 .

[4]  Gianni Schena,et al.  A method for a financially efficient design of cell-based flotation circuits , 1996 .

[5]  Edelmira D. Gálvez,et al.  Methodology for process analysis and design with multiple objectives under uncertainty: Application to flotation circuits , 2013 .

[6]  D. G. Hulbert Optimization of counter-current flotation circuits , 1995 .

[7]  Luis A. Cisternas,et al.  Design of Flotation Circuits Including Uncertainty and Water Efficiency , 2012 .

[8]  Massimiliano Zanin,et al.  Procedures for the automatic design of flotation networks , 1997 .

[9]  Edelmira D. Gálvez,et al.  A MILP model for the design of mineral flotation circuits , 2004 .

[10]  Luis A. Cisternas,et al.  On the design of crystallization‐based separation processes: Review and extension , 2006 .

[11]  E. D. Gálvez A shortcut procedure for the design of mineral separation circuits , 1998 .

[12]  Edelmira D. Gálvez,et al.  Global sensitivity analysis of a mineral processing flowsheet , 2013 .

[13]  Juan Yianatos,et al.  Short-cut method for flotation rates modelling of industrial flotation banks , 2006 .

[14]  Luis A. Cisternas,et al.  Optimal design of crystallization-based separation schemes , 1999 .

[15]  a Gupta,et al.  Mineral processing design and operation , 2006 .

[16]  G. Barbery,et al.  Engineering Aspects of Flotation in the Minerals Industry: Flotation Machines, Circuits and their Simulation , 1984 .

[17]  S. Mehrotra,et al.  Design of optimal flotation circuits — a review , 1988 .

[18]  Edelmira D. Gálvez,et al.  Separation Circuits Analysis and Design, Using Sensitivity Analysis , 2011 .

[19]  Luis A. Cisternas,et al.  Process designs for fractional crystallization from solution , 1993 .

[20]  Edelmira D. Gálvez,et al.  A MILP model for design of flotation circuits with bank/column and regrind/no regrind selection , 2006 .

[21]  Edelmira D. Gálvez,et al.  Arsenic-rejection flotation circuit design and selection based on a multiple-objective evaluation , 2013 .

[22]  Rafiqul Gani,et al.  A computer-aided molecular design framework for crystallization solvent design , 2006 .

[23]  R. Gani,et al.  Group contribution based process flowsheet synthesis, design and modelling , 2005 .

[24]  Santosh K. Gupta,et al.  Simultaneous optimization of the performance of flotation circuits and their simplification using the jumping gene adaptations of genetic algorithm , 2005 .

[25]  Jon C. Yingling Parameter and configuration optimization of flotation circuits, part I. A review of prior work , 1993 .

[26]  D. G. Hulbert The optimum distribution of cell capacities in flotation circuits , 2001 .

[27]  Chandan Guria,et al.  Multi-objective optimal synthesis and design of froth flotation circuits for mineral processing using the Jumping gene adaptation of genetic algorithm , 2005 .

[28]  Jürgen Gmehling,et al.  Potential of thermodynamic tools (group contribution methods, factual data banks) for the development of chemical processes , 2003 .

[29]  Jon C. Yingling Parameter and configuration optimization of flotation circuits, part II. A new approach , 1993 .

[30]  S. Banisi,et al.  Optimisation of the performance of flotation circuits using a genetic algorithm orientated by process-based rules , 2011 .

[31]  Edelmira D. Gálvez,et al.  State of the art in the conceptual design of flotation circuits , 2009 .

[32]  James M. Douglas,et al.  A hierarchical decision procedure for process synthesis , 1985 .

[33]  Krist V. Gernaey,et al.  A model-based methodology for simultaneous design and control of a bioethanol production process , 2010, Comput. Chem. Eng..