The active use of crushers to control product requirements

Minerals Engineering

Volumn 11, Issue 9, 1998, Pages 849-859

  Bearman, R A ^a   Briggs, C A ^a  

^a NONE

Author keywords

Crushing; Process optimisation

Indexed keywords

COST EFFECTIVENESS; MACHINE DESIGN; MATHEMATICAL MODELS; OPTIMIZATION; PROCESS ENGINEERING; QUALITY CONTROL;

ACTIVE CRUSHING;

CRUSHERS;

EID: 0032163487     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0892-6875(98)00072-7     Document Type: Article

References (6)

1. Nelson, J., Personal Communication, ANI Bradken (1998).
2. Bond, F.C., Laboratory Equipment and Tests Help Predict Metal Consumption Crushing and Grinding Units, Eng. & Min. J., June, 165,(6), (1964).
3. Moshgbar, M., Bearman, R.A. & Parkin, R., Optimum Control of Cone Crushers Utilising an Adaptive Strategy for Wear Compensation, Minerals Engineering, 8,(4/5), 367-376 (1995).
4. Moshgbar, M., Bearman, R.A. & Parkin, R., Application of Fuzzy Logic and Neural Network Technologies in Cone Crusher Control, Minerals Engineering, 8, Nos. 1/2, 41-50 (1995).
5. Svensson, A. & Steer, J.F., New Cone Crusher Technology and Developments in Comminution Circuits, Minerals Engineering, 3, Nos. 1/2, 83-103 (1990).
6. Kojovic, T. & Bearman, R.A., Development of a Flakiness Model for the Prediction of Crusher Product Shape, Presented at Comminution '98, 16-18 Feb. 1998, Brisbane, Australia.