Title: Knowledge-based Optimization of Cold Spray for Aircraft Component Repair
Authors: Lewke, Marcel 
Nielsen, Sören
List, Alexander 
Gärtner, Frank 
Klassen, Thomas  
Fay, Alexander  
Language: en
Keywords: Cold Gas Spraying;Robotik
Subject (DDC): DDC::600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaften
Issue Date: Sep-2021
Document Type: Conference Object
Project: Computergesteuerte Bauteilaufarbeitung (CORE) 
Conference: 26th International Conference on Emerging Technologies and Factory Automation (ETFA) 2021 
Abstract: 
In recent years, cold spraying (CS) has emerged as a promising technology for repair applications, particularly for oxidation-sensitive materials. In order to obtain an optimum repair result that fulfills the highest requirements regarding material properties, simple geometric shape restoration is not sufficient. Any additive manufacturing process results in particular features in microstructure, possible defects and respective – potentially even anisotropic – mechanical properties. To systematically tailor these microstructures and properties to the specific component and geometry requires complex routines. This work proposes the design of a knowledge-based cold spray repair system that facilitates a complete individual repair procedure for aircraft components. This system includes the elements of (i) reverse engineering to analyze, classify and generate digital data of the damaged component, (ii) pre-processing to obtain the ideal conditions for the CS process, (iii) toolpath planning to optimize robotics for the CS process, (iv) on-line monitoring to ensure process quality, (v) post-processing and (vi) performance testing of the material properties to meet the challenging requirements of the aerospace industry. By using an industrial robot and computer-aided planning of the trajectories, components are to be repaired under cold spray and geometrical conditions for ideal material deposition. The goal is to obtain repaired components that fulfill the required property profile equally well as respective new parts.
Description: 
Dieser Konferenzbeitrag hat das Peer-Review-Qualitätssicherungsverfahren durchlaufen.
Organization Units (connected with the publication): Automatisierungstechnik 
DTEC.bw 
Werkstoffkunde 
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