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Deep Learning Augmented Intelligent Grinding Mill Simulation and Design

Deep Learning Augmented Intelligent Grinding Mill Simulation and Design
深度学习增强智能磨机仿真与设计
批准号:
LP190100378
负责人:
Prof Craig Wheeler
金额:
$38.22万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Linkage Projects
财政年份:
2021
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2021-05-17 至 2024-05-16

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中文摘要
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英文摘要
Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.
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Developing a Step Change in Bulk Material Handling and Transportation
  • 批准号:
    IM240100197
  • 项目类别:
    Mid-Career Industry Fellowships
  • 资助金额:
    $73.56万
  • 财政年份:
    2024
  • 负责人:
    Prof Craig Wheeler
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Development of a High Capacity Steep Angle Belt Conveying System
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  • 项目类别:
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  • 财政年份:
    2010
  • 负责人:
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  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
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    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
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  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
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  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: