Performance and Assessment of Jaw Crusher in a Cement Manufacturing Plant

Jaw crushers are essential apparatus in cement production facilities, principally utilized for pulverizing raw materials such as limestone, clay, and other minerals. The dependability of jaw crushers strongly influences production efficiency and maintenance expenses. This research examines the repair and failure rates of jaw crushers in a cement factory, assessing prevalent failure types, their underlying causes, and maintenance solutions to enhance equipment uptime. Data was gathered from maintenance logs over a two-year duration, and statistical analysis was conducted to ascertain Mean Time between Failures (MTBF) and Mean Time to Repair (MTTR). The results indicate that wear-related failures, such as jaw plate wear and bearing failures, constitute more than 60% of breakdowns, whereas lubrication problems contribute to 25% of failures. The use of predictive maintenance and the utilization of premium replacement parts can substantially save downtime and operating expenses.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2025-04-08
DOI
https://doi.org/10.52783/cana.v32.4855
Citations
1
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
0.71
Controls
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article

Performance and Assessment of Jaw Crusher in a Cement Manufacturing Plant

Suresh Kumar Sahani
1 citations
Communications on Applied Nonlinear Analysis
Mineral Processing and Grinding
0.71
article

Performance and Assessment of Jaw Crusher in a Cement Manufacturing Plant

Suresh Kumar Sahani
article en
1 citations

Abstract

Jaw crushers are essential apparatus in cement production facilities, principally utilized for pulverizing raw materials such as limestone, clay, and other minerals. The dependability of jaw crushers strongly influences production efficiency and maintenance expenses. This research examines the repair and failure rates of jaw crushers in a cement factory, assessing prevalent failure types, their underlying causes, and maintenance solutions to enhance equipment uptime. Data was gathered from maintenance logs over a two-year duration, and statistical analysis was conducted to ascertain Mean Time between Failures (MTBF) and Mean Time to Repair (MTTR). The results indicate that wear-related failures, such as jaw plate wear and bearing failures, constitute more than 60% of breakdowns, whereas lubrication problems contribute to 25% of failures. The use of predictive maintenance and the utilization of premium replacement parts can substantially save downtime and operating expenses.

Communications on Applied Nonlinear AnalysisVol. 32(3)
Openalex Percentile: Top 34%
Mineral Processing and Grinding
0.71
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