CAMP Lab at TU Delft Integrated approach to sustainable and high-performance composite manufacturing

Research projects

Learn more about our research.

Ongoing projects

Thermographic analysis of ultrasonic welded thermoplastic composites
Thermographic analysis of ultrasonic welded thermoplastic composites
member portrait Postdoctoral Researcher

In the manufacturing of aerospace structures, such as aircraft fuselage panels, ultrasonic welding (USW) is gradually adopted for joining fuselage sections. However, the high-frequency vibrations involved in the USW process can sometimes induce defects at the welded locations due to uneven energy input, causing non-uniform heating, material degradation, fiber misalignment, or void formation at the weld interface. Detecting these defects is essential for maintaining structural integrity and reliability.

Optimization of the mechanical performance of recycled polymers
Optimization of the mechanical performance of recycled polymers
member portrait Postdoctoral Researcher
member portrait Miguel Bessa PhD Student

Optimization of the mechanical performance of recycled composite polymers by Bayesian design with predictable uncertain behavior.

Bake it till you make it - Graph neural networks for composite cure modeling
Bake it till you make it - Graph neural networks for composite cure modeling
member portrait PhD Student

Motivated by the need to minimize the development time and production costs of aerospace composite parts without compromising their quality, this project focuses on leveraging the power of AI-based surrogates for modelling material behavior.

Closed-loop control for 3D printing
Closed-loop control for 3D printing
member portrait Kunal Masania PhD Student

The 3D printing process is prone to errors due to the complex nature of the various printing parameters and environmental uncertainties. Defects can appear in multiple ways, leading to failed prints or parts with compromised mechanical properties. This affects the reliability of the 3D printing process, and higher production rates of 3D-printed parts are challenging to achieve. This research focuses on developing methods that effectively monitor and control the 3D extrusion printing process. Desktop 3D printing and large-format 3D printing of thermoplastics and composites are considered within the scope of this research.

An image-based deep learning framework for flow field prediction in arbitrary-sized fibrous microstructures
An image-based deep learning framework for flow field prediction in arbitrary-sized fibrous microstructures
member portrait PhD Student
member portrait Postdoctoral Researcher

This project proposes a U-Net based framework to predict the flow field within fibrous medium.

Delft TapeLab
Delft TapeLab
member portrait PhD Student
member portrait Postdoctoral Researcher
member portrait Postdoctoral Researcher

The Delft TapeLab is a unique open research facility for unidirectional thermoplastic tapes and their applications. Its mission is to advance knowledge and innovation of unidirectional tapes and their applications through collaborative research at the intersection of materials science, advanced processing technologies and digitalization.

CAELESTIS: hyperconnected simulation ecosystem supporting probabilistic design and predictive manufacturing of next generation aircraft structures
CAELESTIS: hyperconnected simulation ecosystem supporting probabilistic design and predictive manufacturing of next generation aircraft structures
member portrait Postdoctoral Researcher
member portrait Postdoctoral Researcher

CAELESTIS is funded by the EU’s Horizon Europe programme and seeks to advance aviation through virtual prototyping, lightweight materials, and high-performance computing.

Past projects