- Title
- Estimating the mean cutting force of conical picks using random forest with salp swarm algorithm
- Creator
- Zhou, Jian; Dai, Yong; Tao, Ming; Khandelwal, Manoj; Zhao, Mingsheng; Li, Qiyue
- Date
- 2023
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/194472
- Identifier
- vital:18376
- Identifier
-
https://doi.org/10.1016/j.rineng.2023.100892
- Identifier
- ISSN:2590-1230 (ISSN)
- Abstract
- Conical picks are widely used as cutting tools in shearers and roadheaders, and the mean cutting force (MCF) is one of the important parameters affecting conical pick performance. As MCF depends on a number of parameters and due to that the existing empirical and theoretical formulas and numerical modelling are not sufficient enough and reliable to predict MCF in a proficient manner. So, in this research, a novel intelligent model based on a random forest algorithm (RF) and a heuristic algorithm called the salp swarm algorithm (SSA) have been applied to determine the optimal hyper-parameters in RF, and root mean square error is used as a fitness function. A total of 188 data samples including 50 rock types and seven parameters (tensile strength of the rock
- Publisher
- Elsevier B.V.
- Relation
- Results in Engineering Vol. 17, no. (2023), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by-nc-nd/4.0/
- Rights
- Copyright © 2023 The Authors
- Rights
- Open Access
- Subject
- 40 Engineering; Conical pick; Machine learning; Mean cutting force; Random forest; Rock cutting; Salp swarm algorithm
- Full Text
- Reviewed
- Funder
- This research was funded by the National Science Foundation of China ( 42177164 ), the Distinguished Youth Science Foundation of Hunan Province of China ( 2022JJ10073 ), the Innovation-Driven Project of Central South University (No. 2020CX040 ), and the Fundamental Research Funds for the Central Universities of Central South University ( 2022ZZTS0480 ).
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