A
Alan P. Prosser
Researcher at University of New South Wales
Publications - 5
Citations - 80
Alan P. Prosser is an academic researcher from University of New South Wales. The author has contributed to research in topics: Heap (data structure) & Reaction rate. The author has an hindex of 4, co-authored 5 publications receiving 78 citations.
Papers
More filters
Journal ArticleDOI
Review of uncertainty in the collection and interpretation of leaching data
TL;DR: In this article, the authors reviewed the literature on the determination of mechanisms of mineral leaching reactions to identify the sources of uncertainty about the conclusions drawn and to illustrate good practices and achievements in reducing the uncertainty.
Journal ArticleDOI
A general model for the reaction of several minerals and several reagents in heap and dump leaching
John C. Box,Alan P. Prosser +1 more
TL;DR: In this paper, the rate of recovery of metal values from heap and dump leach operations has been stimulated by mathematically modelling reactions among several minerals and reagents, including those which involve substances generated within the heap.
Journal ArticleDOI
Predicting the rates of recovery from selective chemical reaction of ores — A specific example: Leaching of chalcopyrite in acid with oxygen
TL;DR: In this article, the rate of recovery of copper from lumps of porphyry ore by selective leaching of chalcopyrite was calculated using the mineralogical data used.
Journal ArticleDOI
Predicting the efficiency of chemical processes in the treatment of ores and low-grade concentrates
TL;DR: In this paper, the relationship between process efficiency factors and the mineralogical features of low-grade concentrates has been developed from both a theoretical analysis and experimental measurements, and the correlations are of potential use in process selection and preliminary design.
Journal ArticleDOI
A Generalised Investigation of Adaptive Optimisation in the Chemical Processing of Minerals
TL;DR: In this paper, the authors investigated the adaptive optimisation strategy of adjusting operating conditions to maintain optimum process performance as the feed quality varies by computer simulation of chemical processes for the treatment of ores.