Identification of Potential Causes of Clogging and Development of a Machine Learning-based Prediction Model
Year: 2025
Type: article
Abstract: The purpose of this article is to provide a solution for cement mill clogging. Our research is grounded in a methodical approach, whereby we have developed a deeper understanding of the cement grinding process to produce reliable theories. Then, by evaluating factors such clinker feed fluctuation and grindability problems, we conducted a number of comprehensive studies to support or contradict these theories. By creating a thorough RCA model, we were able to determine the underlying reasons of clogs thanks to the outcomes of these experiments. Simultaneously, using the data gathered throughout our investigation, we investigated the application of machine learning to forecast the phenomena of tampering.
Author: Academic Journal of Manufacturing Engineering
Institution: Politehnica University of Timisoara
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911805916
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