High Performance Machining System- Optimization, Condition Monitoring and Control

The terminal objective of this cluster project is to achieve high performance machining of difficult-to-cut materials, in terms of reduced production cost, increased productivity, as well as achieving pre-defined part quality attributes and maximizing the utilization of the machine tool. To achieve this goal, an intelligent unmanned machining system need to be developed. The following three sub-projects were identified: (1) Development of a TRL-4 novel tool condition monitoring for failure characterization and process optimization, (2) Development of a TRL-5 adaptive control system for ‘machining time reduction to free machine capacity’, and (3) Development of a cryogenic deep hole drilling tool / process, to overcome the challenges of injecting liquid nitrogen (LiN) in a confined space through a rotating tool.

Faculty Supervisor:

Helmi Attia

Student:

Partner:

SECO Tools Canada Inc.

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services; Retail trade

University:

McGill University

Program: