Process dynamics


The research focuses on multiphysics processes, including welding, riveting and grinding.


Projects related to the dynamics of machines are listed below:

Residual welding stress (H. Champliaud)

Residual welding stress research is of ongoing interest in aeronautics, and is the object of a new CRIAQ5 project led by Professor H. Champliaud, in collaboration with Pratt & Whitney Canada and Bombardier Aeronautics. Professors H. Champliaud and M. Thomas are still working together on this, carrying out a digital and experimental analysis of residual stress effects on modal parameters in a bid to develop a non-destructive approach to stress relaxation efficiency (O. Charette, Master’s degree).

Robotic grinding (Z. Liu, H. Champliaud and M. Thomas)

In about three years, Hydro-Québec will be able to improve the quality of its machined surfaces by reducing vibration, even though the robot will be flexible enough to penetrate restricted access areas, thanks to Liu Z., Champliaud H. and Thomas M.'s studies on the robotic grinding process [8]. Issues related to grinding and robotics will also be addressed. One of the innovation opportunities provided will be the study of the possibility of detecting chatter using cyclostationarity analysis. One post-doctoral fellow (F. Girardin), a Master’s student (F. Totti) and a Doctorate student (F. Rafieian) are working on this.

New hydraulic turbine manufacturing processes (H. Champliaud)

Professor Champliaud is also working on developing new manufacturing processes such as hydroforming. In the longer term, a new project led by H. Champliaud, Dao T.M., Le V.N. and Liu Z., in collaboration with Alstom (NSERC-CRD), will enable the design of new hydraulic turbine manufacturing approaches (rolling, spinning, etc.).

Manufacturing operation scheduling optimisation using a metaheuristic approach (T-M. Dao)

Production scheduling is complex, particularly when problems associated with mixed-model and large-scale production are present. Scheduling optimisation is essential to production management activities, and greatly affects corporate performance. Metaheuristic techniques with outstanding modeling flexibility and capable of quickly performing large numbers of computations provide a promising alternative insofar as resolving complex optimisation problems is concerned.

Multiple-criteria maritime transport optimisation: Application to maritime transport and manufacturing sector (T-M. Dao)

Maritime network design and management are often aimed at optimising several critical, though sometimes contradictory, performance criteria for increasing network viability. These approaches, which are geared toward achieving optimum distribution of network activities, depend not only on the infrastructure traffic protocol, but also on network control mechanisms. The project is aimed at identifying a multi-criteria simulation model for optimising transport and maritime distribution networks. The model will subsequently be evaluated using an efficient multi-criteria resolution engine.

Semi-Markov process and production planning and production system maintenance (T-M. Dao)

Uncertainties surrounding market demand and operational system reliability are typical of today’s production systems, and while these phenomena are unpredictable, production system performance still depends on them. This project is aimed at finding a method/approach to optimise production system performance. Stochastic optimal system control is the tool used in modeling, and constitutes a viable solution.

The optimal Manufacturing Line (ML) design model based on the Lean Manufacturing(LM) concept (T-M. Dao)

For companies operating in today's competitive environment, reducing the costs in new product introductions requires the implementation of Lean Manufacturing (LM) tools and concepts which focus on eliminating waste as part of a manufacturing model. Decisions often need to be made regarding the implementation of a New Model Line ( NML) or the modification of Current Manufacturing Line (CML). The main purpose of this project is to study and build up a manufacturing-focused process design model in Manufacturing Facilities(MF), applying lessons learned in automobile manufacturing plants as well as other industries, particularly among medical and electrical devices manufactures. A computerized decision making system tested in a case study will be a practical tool for the optimization of manufacturing processes.

Design optimisation and implementation of a manufacturing system/process in a flexible manufacturing context (T-M. Dao)

Flexible or cellular manufacturing design modulation will be used to design and implement a new manufacturing system/process. This research project will also address the cost model associated with the system/process implementation and operation. The second module of this project will focus on refining all these models through an optimisation process using various metaheuristic techniques (GA, Ant colony, Tabu search, Neurone systems, Fuzzy, etc.) to obtain optimal models which will subsequently be validated and/or verified by a practical or real model (or models).


Upcoming projects

Optimisation of the dynamic behaviour of aircraft wings during turbulence (Director:  Ruxandra Botez, Co-Director: T. My Dao)

As part of this project, the wind tunnel situated in the Mechanical Engineerind Department will be used to set up experiments aimed at validating proposed models.