Research in Aerospace

Problem Statement

At ARL-MLS extensive investigations have been carried out towards the design, development and optimization of several aerospace systems and components for real world applications. We adopt state-of-the-art testing and manufacturing practices for developing real-time solutions in applications such as aeroengines, turbomachinery, avionic systems and aerostructures (Landing gear, wingbody, propellers, Cabin Acoustics, etc.). Our focus lies in developing novel lightweight, robust, reliable and resilient solutions while adopting concurrent engineering practices for easy industrial assimilation. Some of the challenges we overcome include:

  • Aviation capabilities of consumer grade Unmanned Aerial Vehicles (UAVs).
  • Improved turbomachinery performance for reliable and efficient functionality.
  • Precision manufacturing and operation of high-fidelity members.
  • Lightweight robust aerostructures for sustainable flight.
  • Noise and Vibration reduction for enhanced flight dynamics and control.
  • Computationally efficient and accurate systems modelling for simulations and analysis.
  • System / component health sustenance, monitoring and management.

Solutions

To overcome the many global challenges in the field of Aerospace Engineering, ARL – MLS has been actively developing cutting edge solutions such as:

  • Design of novel methodologies and structures for enhanced performance characterization and mapping of UAVs flight control.
  • Proposing improved models for analyzing high-speed rotor dynamics of aeroengines.
  • State of the art design and testing of squeeze filmed damper system to minimize engine induced vibrations and noise.
  • Multidisciplinary Design Optimization methodologies enacted to estimate and improvise aerostructure performance and design.
  • Development of novel aerospace structures targeting weight reduction and self controlling capabilities.
  • Nonlinear characterization of aero-engine casings for rapid detection and quantification.
  • Synthesizing real-time models for fast and accurate aerospace computational studies.

Projects