We offer you an Ocean of Possibilities. Join our family. The role The objective of the proposed internship is to review the characteristics (e.g. wear, corrosion and performance) of components subject to varying slurry pipe system
Physics-informed machine learning for variable amplitude loading in fatigue crack growth Marknesse Master Thesis Background Fatigue in metallic structures is still considered a major threat to the continuing airworthiness of aircraft. Existing models to predict the
Overview Develop analytical solutions that translate complex operational data into decisions supporting mission readiness within the Defense Capability Management unit at ILIAS A&D BV. Work with data from aircraft, naval systems and sensor‑driven environments to support