Controlling the Ground Particle Size and Ball Mill Load Based on Acoustic Signal, Quantum Computation Basis, and Least Squares Regression, Case Study: Lakan Lead-Zinc Processing Plant
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 76
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شناسه ملی سند علمی:
JR_IECO-6-3_005
تاریخ نمایه سازی: 10 آبان 1402
چکیده مقاله:
Grinding in a ball mill is a process with high energy consumption; therefore, a slight improvement in its performance can lead to great economic benefit in the industry. The softness of the product of the grinding circuits prevents loss of energy in the subsequent processes. In addition, controlling the performance of a ball mill is a challenging issue due to its complex dynamic characteristics. The main purpose of this article is to use the ground particle size diagram and acoustic signal in ball mill control, and model their relationship based on least squares method. As a result, by extracting useful data from the the acoustic signal, the optimal condition of the ball mill_ in terms of ground particle size and ball mill load (normal, low, high)_ can be achieved. In doing so, this goal, in this article, innovative ideas such as adaptive quantum basis, sparse representation, SVD and PCA-based methods were used. The proposed method has been practically implemented on the ball mill of Lakan lead-zinc processing plant. Also, a prototype of the device was built. The test results show that the optimal load for the studied ball mill is ۱۰t/h. In this case, the ground particle size is ۱۱۰-۱۲۰ microns which is ideal for the purposes of this plant. Also, the power spectrum is in the middle frequency band (frequency range of ۳۰۰-۷۰۰ Hz). According to the analysis and results, the proposed method will increase the efficiency of the studied ball mill.
کلیدواژه ها:
Least squares ، Quantum computation ، Ball mill system identification ، Acoustic signal ، Ball mill control
نویسندگان
Sadegh Kalantari
Department of Electrical Engineering, Tafresh University
Ali Madadi
Department of Electrical Engineering, Tafresh University
Mehdi Ramezani
department of mathematics, Tafresh Univrsity
Abdolmotaleb Hajati
Department of Mining Engineering,Arak University of Technology
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