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Chen, G.X., Li, Y.G., Liu, X. and Yang, B. (2021) Physics-Informed Bayesian Inference for Milling Stability Analysis. International Journal of Machine Tools and Manufacture, 167, Article ID: 103767.
https://doi.org/10.1016/j.ijmachtools.2021.103767

has been cited by the following article:

• TITLE: Study and Modeling of the Grinding Kinetics of Reactive Rocks in a Cement Laboratory

  AUTHORS: Seke Vangu Max, Pongo Pongo Charles, Pongo Pongo Kalang Hochéà, Musuamba Kabengele Nathalie, Kisonga Manuku Eric, Mungyeko Bisulandu Baby-Jean Robert

  KEYWORDS: Cementitious Materials, Blaine, Grindability, Modeling, Rittinger, Van Der Waals

  JOURNAL NAME: Journal of Minerals and Materials Characterization and Engineering, Vol.11 No.6, November 8, 2023

  ABSTRACT: This article focuses on the study of crushing rocks that can replace clinker in low-carbon cement. A laboratory ball mill was used, varying the duration of the grinding. It has been observed that the specific surface of rocks changes in a nonlinear way with time, due to the agglomeration of particles. To this end, a mathematical model describing this evolution, which considers van der Waals forces, has been proposed. And finally, the model was adjusted regarding the experimental data. The results found show that the present model is more accurate than the classical models, because it considers the agglomeration phenomenon.