Develop a Weight Distribution Sensor System Efficacy

This project aims to develop and validate an advanced transportation weight measurement system capable of accurately determining total load and load distribution across multiple support points in transportation platforms. Across transportation sectors, inaccurate weight estimation and load imbalance remain persistent challenges, leading to safety risks, reduced operational efficiency, increased fuel consumption, and accelerated structural wear. Existing methods are often based on static assumptions or indirect estimations, limiting their reliability under real operating conditions.
Safran Landing Systems (SLS), a leader in system design and measurement technologies, is looking to advance a high-precision load-sensing approach into a scalable transportation solution. The main challenge is to accurately measure load distribution in systems subject to nonlinear mechanical behaviour, including friction, hysteresis, and dynamic loading effects.
This project will design and experimentally validate a modular, sensing system that integrates pressure-based measurement with controlled actuation mechanisms to improve accuracy and repeatability. The system will be tested under representative loading scenarios to evaluate performance and robustness.
The anticipated outcomes include a validated prototype and calibration methodologies enabling accurate real-time load monitoring. The expected benefits are significant: improved operational safety through enhanced load awareness, reduced costs through optimized load management and maintenance, and improved energy efficiency leading to lower emissions. This project will strengthen the SLS position in intelligent transportation technologies and contribute to Canada’s leadership in advanced measurement and monitoring systems.

Faculty Supervisor:

Eric Blaise

Student:

Partner:

Safran Landing Systems

Discipline:

Engineering

Sector:

Manufacturing

University:

Centennial College of Applied Arts and Technology

Program: