A COMPARATIVE STUDY ON POWER CALCULATION METHODS FOR CONVEYOR BELTS IN MINING INDUSTRY. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Köken, Ekin; Lawal, Abiodun Ismail; Onifade, Moshood; Özarslan, Ahmet
• Is Part Of: International journal of mining, reclamation and environment. Volume 36:Issue 1(2022)
• Page Start: 26
• Page End: 45
• Publication Date: 2022-01-02
• Subjects: Conveyor belt -- mining -- power calculation -- regression algorithms -- gene expression programming; Mining engineering -- Periodicals; Mineral industries -- Environmental aspects -- Periodicals; Abandoned mined lands reclamation -- Periodicals; 622.292
• DOI: 10.1080/17480930.2021.1949859
• Languages: English
• ISSNs: 1748-0930

Abstract

ABSTRACT: This paper covers different methods to evaluate the power consumption of several conveyor belt systems (CBSs) used in the Turkish Mining Industry (TMI). Based on each CBS's operational features, the power consumption (Pc, kW) was measured directly on motorised head-pulleys. The Pc was investigated through several conventional, statistical, and machine learning methods. This study shows that the DIN 22, 101 could be the most convenient conventional method for the investigated CBSs. On the other hand, based on the nonlinear regression (NLR) and genetic expression programming (GEP) models, two new approaches were suggested for the design and optimisation of the Pc .