Mill relining optimization through discrete event simulation using filmed data

"For many years, optimizing the relining of hard rock grinding mills has been complicated by the large number of variables, the low frequency of relines (resulting in a slow relining experience assessment and review cycle), and the potential economic risk associated with some changes to relining equipment or work practices. A technology that has its roots in the automotive manufacturing industry is being utilized to construct a statistically accurate, configurable, and dynamic simulation of the mill relining process. The detailed effects of various mechanization and process changes can be rapidly modeled and compared. Application of this discrete event analysis technology in the mineral processing industry delivers a range of benefits to many industry stakeholders. For example, mill maintenance managers and contract relining companies can embrace the opportunity to benchmark current performance against world’s best practice. Concentrator plant designers and mill manufacturers, informed by this technology’s scientifically defensible data set, can accurately plan for maximum plant efficiency when designing an infrastructure and equipment combination that truly maximizes annual plant availability. Time-motion studies of grinding mill reline data at mills of varying dimensions, liner configurations, mill relining equipment, operator and tool variables, have been integral to the development of this dynamic simulation tool and its associated data set. Access to mill relining simulation technology will enable mineral processing industry professionals to take advantage of an increased capacity to develop mineral concentrator performance optimisation initiatives within the given financial, physical and technological constraints of the individual concentrator plant."