Descripción del proyecto
Piezas de motor de aviones impresas en 3D de alta calidad
Una alternativa de gran velocidad y bajo coste a las tecnologías actuales de procesamiento de materiales 3D en la industria aeroespacial es la deposición de alambre por láser. Este proceso de fabricación por adición utiliza un láser de alta potencia montado en un robot para crear un baño fundido en la superficie de un sustrato de titanio en el que se coloca el alambre de metal. El proyecto financiado con fondos europeos ASSALA está desarrollando unas herramientas numéricas novedosas para minimizar la probabilidad de obtener defectos indeseables durante el procesamiento del titanio. Los modelos informáticos avanzados y el «software» de control mejorarán la fiabilidad de las piezas del motor de aviación y reducirán los desperdicios. El objetivo es fabricar piezas de aviones complejas sin defectos con una menor proporción de material usado («ratio buy-to-fly») de titanio, un metal caro.
Objetivo
The main objective of the ASSALA project is to develop a methodology to predict defect generation likelihood induced by the interaction of robot inaccuracies and thermal effects during the Laser Wire Deposition (LWD) process of Titanium integrating deterministic and advanced statistical models applied on the manufacturing of new generation aero engine structures. The novel activities to carry out during the project will be based on:
- The development of a tool focused on the automatic path generation applied on to robotic LWD based on 5 degree of freedom deposition.
- A dynamic robot model to compensate and estimate through Monte Carlo simulation the temporal positioning accuracy.
- A fast and precise computation algorithm that will allow to solve the time consuming dynamic thermo-mechanical phenomena of the solidification process based on Finite Element Modelling through model order reduction strategies.
- Implementation of process monitoring (thermal and visible) and control tools (CAM correction) for the implementation of adaptive control strategies which will correct the component distortion.
- Integration of the developed algorithms in a methodology to predict the failure probability based on Monte Carlo statistical tools.
- Testing and validation of the developed simulation tools and implemented adaptive control strategies.
ASSALA aims at contributing to achieve more efficient and robust LWD processes provided that the end effector-to-component relative distance plays a major role in the stability of the process and in the generation of defects such as cracks or flaws that can induce the rejection of the deposits due to the critical structural nature of the aero engine components.
Ámbito científico
- natural scienceschemical sciencesinorganic chemistrytransition metals
- natural sciencescomputer and information sciencescomputational science
- natural sciencesmathematicsapplied mathematicsstatistics and probability
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
- natural sciencesphysical sciencesopticslaser physics
Programa(s)
Régimen de financiación
CS2-RIA - Research and Innovation actionCoordinador
20600 Eibar Guipuzcoa
España