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Article type: Research Article
Authors: Yu, Luo-Jiana; b | Tong, Xina; b; *
Affiliations: [a] College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, Fujian 361021, China | [b] School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou, Fujian 350108, China
Correspondence: [*] Corresponding author: Xin Tong, College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, Fujian 361021, China. E-mail: [email protected].
Abstract: In the field of concrete materials in the construction industry, manufactured sand gradually replaces natural sand in order to cope with the shortage of natural sand resources, thus leading to the problem of energy consumption in producing manufactured sand. In this paper, single particle shear crushing test of three kinds of manufactured sand aggregates of granite, limestone and diabase were taken as the research object. The energy consumption in single particle shear crushing was measured and the fractal theory was introduced to analyze the mass distribution of crushed particles. With the help of crushing specific energy consumption, a fractal prediction model of crushing energy consumption was established, and R-R model was used to correct the model. Finally, this paper verified the effectiveness of the corrected model by a series of tests that compare actual measured values, predictive values from the uncorrected model and predictive values from the corrected model. The method is well worth considering and learning from when it comes to energy saving in producing manufactured sand.
Keywords: Manufactured sand, shear crushing, energy consumption prediction model, crushing specific energy consumption
DOI: 10.3233/JCM-204523
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 2, pp. 409-421, 2021
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