Conical Pick Cutter Wear Conditions of the Cutting Tool on Specific Energy and Dust Generation

This dataset contains experimental results on bit wear condition, specific energy consumption, and dust generation during the linear cutting of coal. The data was collected using a Linear Cutting Machine (LCM) under controlled conditions, simulating the cutting process in underground mining. The dataset includes measurements of tool wear characteristics, energy requirements for cutting, and dust particle size distributions. These results are critical for understanding the relationships between cutting parameters and the efficiency and safety of coal mining operations. The data supports the manuscript by providing empirical evidence to evaluate cutting performance and its implications for operational optimization and health and safety in underground coal mines.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-11
DOI
https://doi.org/10.5281/zenodo.14397130
Primary Topic
Tunneling and Rock Mechanics
Type
article
Field-Weighted Citation Impact
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article

Conical Pick Cutter Wear Conditions of the Cutting Tool on Specific Energy and Dust Generation

Zenodo (CERN European Organization for Nuclear Research)
Tunneling and Rock Mechanics
article

Conical Pick Cutter Wear Conditions of the Cutting Tool on Specific Energy and Dust Generation

article en

Abstract

This dataset contains experimental results on bit wear condition, specific energy consumption, and dust generation during the linear cutting of coal. The data was collected using a Linear Cutting Machine (LCM) under controlled conditions, simulating the cutting process in underground mining. The dataset includes measurements of tool wear characteristics, energy requirements for cutting, and dust particle size distributions. These results are critical for understanding the relationships between cutting parameters and the efficiency and safety of coal mining operations. The data supports the manuscript by providing empirical evidence to evaluate cutting performance and its implications for operational optimization and health and safety in underground coal mines.

Zenodo (CERN European Organization for Nuclear Research)
Colorado School of Mines (US)
Affordable and clean energy
Openalex Percentile: Top 57%
Tunneling and Rock Mechanics
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