Szczegóły publikacji
Opis bibliograficzny
Multi-criteria optimization of roller selection for mining belt conveyors / Piotr KULINOWSKI, Piotr KASZA, Jacek ZARZYCKI // Mining Machines [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2719-3306 . — 2025 — vol. 43, s. 210–222. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 220–222, Abstr. — Publikacja dostępna online od: 2025-12-03
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165095 |
|---|---|
| Data dodania do BaDAP | 2026-01-08 |
| Tekst źródłowy | URL |
| DOI | 10.32056/KOMAG2025.18 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Mining Machines |
Abstract
The decision on the selection of rollers is often based on the results of tests conducted in accordance with the requirements of the standard. In order for the sample, the number of which depends on the size of the roller batch, to be compliant with the standard, it must pass all the tests included therein. Whether or not a roller sample meets the standard requirements often determines whether the entire batch is accepted or returned by the ordering party. The paper presents the experience gained during the performance of a series of tests of new roller samples conducted in accordance with the standard requirements. A comparative analysis of the test results with the standard requirements showed that the rejection of a roller sample was often determined by a parameter that slightly exceeded the tolerance and had little practical significance, while at the same time the overall quality of this roller sample was high. On this basis, it was found that the weight of individual parameters is not equal, especially in the aspect of the planned place of use, and consequently the operating conditions of the rollers. The authors proposed the use of the APEKS multi-criteria decision-making method, which allows, with established weights of standard parameters and other parameters determining the suitability of a given idler variant for the expected operating conditions, to select the best variant in the light of the adopted criteria.
