Spray pattern analysis in TWAS using photogrammetry and digital image correlation
- 1. Lehrstuhl für Werkstofftechnologie, TU-Dortmund (Germany)
- 2. Institut für Forschung und Transfer, RIF e.V. (Germany)
Description
In terms of arc spraying processes, the spray plume characteristic is mainly affected by the flow characteristic of the atomization gas at the nozzle inlet and intersection point of the wire tips, which in turn affect the particle distribution at the moment of impact when molten spray particles splash onto the substrate. With respect to the route of manufacturing of near net-shaped coatings on complex geometries, the acquisition of the spray patterns is pressingly necessary to determine the produced coating thickness. Within the scope of this study, computer fluid dynamics (CFD) simulations were carried out to determine the distribution of spray particles for different spray parameter settings. The results were evaluated by three-dimensional spray spot analyses using an optical measurement based on photogrammetry and digital image correlation. The optical measurement represents a promising and much faster candidate to measure spray patterns compared to the tactile measurement system but with an equal accuracy. For given nozzle configurations and spray parameter settings, numerous spray patterns were examined to their shape factors, demonstrating the potential of an online analysis, which encompasses a "fast sample loop" and a data processing system to generate a three-dimensional surface of the spray spot profile. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/373/1/012014Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 373
- Journal Issue
- 1
- Journal Page Range
- [8 p.]
- ISSN
- 1757-899X
Conference
- Title
- 20. Chemnitz Seminar on Materials Engineering
- Dates
- 14-15 Mar 2018
- Place
- Chemnitz (Germany)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52090098
- Subject category
- S36: MATERIALS SCIENCE; S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACCURACY; ATOMIZATION; COATINGS; COMPUTERIZED SIMULATION; DATA PROCESSING; FLUID MECHANICS; GEOMETRY; NOZZLES; PRESSING; SPRAYS; SUBSTRATES; THREE-DIMENSIONAL CALCULATIONS
- Descriptors DEC
- FABRICATION; MATERIALS WORKING; MATHEMATICS; MECHANICS; PROCESSING; SIMULATION