A Comparative Study on Power Calculation Methods for Conveyor Belts in Mining Industry
| dc.contributor.author | Koken, Ekin | |
| dc.contributor.author | Lawal, Abiodun Ismail | |
| dc.contributor.author | Onifade, Moshood | |
| dc.contributor.author | Ozarslan, Ahmet | |
| dc.date.accessioned | 2025-09-25T10:38:20Z | |
| dc.date.available | 2025-09-25T10:38:20Z | |
| dc.date.issued | 2021-07-29 | |
| dc.description | Koken, Ekin/0000-0003-0178-329X; | en_US |
| dc.description.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 (P-c, kW) was measured directly on motorised head-pulleys. The P-c 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 P-c. | en_US |
| dc.description.sponsorship | RULMECA | |
| dc.description.sponsorship | The authors are greatly indebted to anonymous mining companies who provided their facilities during the field measurements and shared the quantitative data of the investigated CBSs. Special thanks are due to RULMECA, who enabled the corresponding author to use their online calculation system. Last but not least, special thanks are due to the anonymous reviewers and the handling editor for constructive comments and suggestions that improved the study. | |
| dc.identifier.doi | 10.1080/17480930.2021.1949859 | |
| dc.identifier.issn | 1748-0930 | |
| dc.identifier.issn | 1748-0949 | |
| dc.identifier.scopus | 2-s2.0-85111685880 | |
| dc.identifier.uri | https://doi.org/10.1080/17480930.2021.1949859 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/3036 | |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor & Francis Ltd | en_US |
| dc.relation.ispartof | International Journal of Mining Reclamation and Environment | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Conveyor Belt | en_US |
| dc.subject | Mining | en_US |
| dc.subject | Power Calculation | en_US |
| dc.subject | Regression Algorithms | en_US |
| dc.subject | Gene Expression Programming | en_US |
| dc.title | A Comparative Study on Power Calculation Methods for Conveyor Belts in Mining Industry | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Koken, Ekin/0000-0003-0178-329X | |
| gdc.author.scopusid | 57193992490 | |
| gdc.author.scopusid | 57209584188 | |
| gdc.author.scopusid | 57201993675 | |
| gdc.author.scopusid | 16319829100 | |
| gdc.author.wosid | Onifade, Moshood/G-5346-2019 | |
| gdc.author.wosid | Lawal, Abiodun/Aal-9241-2021 | |
| gdc.author.wosid | Köken, Ekin/Aaa-5063-2020 | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C4 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | Abdullah Gül University | en_US |
| gdc.description.departmenttemp | [Koken, Ekin] Abdullah Gul Univ, Dept Nanotechnol Engn, Kayseri, Turkey; [Lawal, Abiodun Ismail] Fed Univ Technol Akure, Dept Min Engn, Akure, Nigeria; [Onifade, Moshood] Univ Nambia, Dept Civil & Min Engn, Ongwediva, Namibia; [Ozarslan, Ahmet] Zonguldak Bulent Ecevit Univ, Dept Min Engn, Zonguldak, Turkey | en_US |
| gdc.description.endpage | 45 | en_US |
| gdc.description.issue | 1 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q2 | |
| gdc.description.startpage | 26 | en_US |
| gdc.description.volume | 36 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.description.wosquality | Q2 | |
| gdc.identifier.openalex | W3187290543 | |
| gdc.identifier.wos | WOS:000679202400001 | |
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| gdc.oaire.keywords | 0210 nano-technology | |
| gdc.oaire.keywords | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.keywords | 02 engineering and technology | |
| gdc.oaire.keywords | 7. Clean energy | |
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