Mining and Minerals Engineering

CSMM120 - Physical Separation Technologies (2012)

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MODULE TITLEPhysical Separation Technologies CREDIT VALUE15
MODULE CODECSMM120 MODULE CONVENERDr Richard Pascoe (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS
Number of Students Taking Module (anticipated) 24
DESCRIPTION - summary of the module content
AIMS - intentions of the module

This course has been designed to develop a systematic understanding of the unit processes used in mineral processing and an appreciation of how these unit processes are combined to produce an overall treatment system.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
SYLLABUS PLAN - summary of the structure and academic content of the module

(a) Week 1-3 Process and equipment developments in mineral processing Comminution: impact and high pressure rolls crushers, autogenous mills, fine grinding equipment, testing of grinding media, methods of circuit control. Sensor-based ore sorting. Gravity concentration: centrifugal separators, spiral concentrator design. Magnetic separation: super conducting magnetic separation. Eddy current separators: application in waste treatment. Flotation: development of new reagents, advances in flotation cell design, electrochemical nature of sulfide flotation; collector-less flotation and the importance of Eh, methods of evaluating surface reactions in flotation. Methods for recovery of ultrafine particles; selective flocculation, shear flocculation and oil agglomeration. (b) Week 4-5 Surface phenomena in mineral processing Stability of particle suspensions – DLVO theory, measurement of zeta potential, the gas-liquid interface, surface tension and contact angle measurement, physical adsorption of flotation collectors, modelling and scale-up of the flotation process. (c) Week 6-7 Application of mineral processing techniques Influence of mineralogy, process flowsheet options. A range of mineral and material types to be considered including: complex sulfides, iron ores, clays and carbonates. (d) Week 1-6 Sampling and uncertainty management Determination of uncertainty. Calculation of the sample variance. Decision-making based on statistical inference. Determination of optimum configuration for sampling a process. Determination of optimum sample size.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities Guided Independent Study Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
SUMMATIVE ASSESSMENT (% of credit)
Coursework 40 Written Exams 60 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
RE-ASSESSMENT NOTES
RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Reading list for this module:

There are currently no reading list entries found for this module.

CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) M (NQF Level 7) AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Monday 12 March 2012 LAST REVISION DATE Wednesday 17 October 2012
KEY WORDS SEARCH None Defined