Laeeque K. Daneshmend, B.Sc., Ph.D, D.I.C.

Professor

Department of Mining Engineering

Cross-appointed to:

Department of Mechanical and Materials Engineering

Noranda-Falconbridge Chair in Mine-Mechanical Engineering

Affiliated wth Queen's Cutural Studies

 

 

Competitive pressures have dictated that the mining industry move to larger mobile equipment with more advanced equipment mechanization, with higher levels of autonomous operation of machines, and longer periods between access by maintenance personnel. Such new equipment is of necessity more complex than existing designs, and hence machine reliability has become a key issue in progressing towards advanced mining equipment designs.

Current research attacks the issue of reliability and maintenance of mobile mining equipment on several fronts:

  1. reliability modeling to enhance decision making for condition based maintenance.
  2. utilization of production monitoring information from the equipment to enhance the understanding of operational failures.
  3. systems analysis of mine maintenance management to formulate information systems requirements and optimize decision making.
  4. reliability based design/redesign of mobile equipment for operational scenarios at various levels of autonomous operation. Recently completed research has focused on the mechanization and automation of mining equipment and systems.

This has resulted in significant advances in:

  1. production monitoring and control systems for primary production equipment (cable shovels and blast-hole drills) in surface mining.
  2. modelling, simulation, and control of production drilling in underground mining.
  3. sensing and perception of the rock/geology with which the mining production equipment must interact - based on various sensing modalities: including measurable machine responses, machine vision , as well as ground penetrating radar.

Much of the above surface mining research has led to significant commercial spin-offs, through Aquila Mining Systems Ltd. (www.aquilamsl.com), and the underground production drilling work has resulted in a patent.


Courses:

  • Mine Maintenance Management
  • Advanced Material Handling
  • Maintenance Engineering
  • Mine Mechanization and Automation

 

To link to Dr. Daneshmends Queen's Cultural Studies page click here.


Funding:

INCO, Institute for Robotics and Intelligent Systems, NSERC, Syncrude

Publications