Journal Article10.1007/BF03221013
Developing intelligent control for spray forming processes
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TL;DR: In this article, a real-time sensing and control of spray-formed preform conditions is implemented at the David Taylor Research Center, where sensors and control technologies are used to monitor critical process conditions and modify operational parameters during spray forming of components.
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Abstract: A program to implement real-time sensing and control of spray-formed preform conditions is underway at the David Taylor Research Center. The objective of the program is to develop sensor and control technologies that can be used to monitor critical process conditions and modify operational parameters during the spray forming of components. This task has been divided into two phases. The first entails developing sensors and controls to monitor and correct simulated process conditions. In the second phase, the selected sensors and controls will be combined with actuators, thereby integrating research center equipment and enabling the production of nonsymmetric preforms.
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Citations
The production and application of metal matrix composite materials
TL;DR: The most widely applied methods for the production of composite materials and composite parts are based on casting techniques such as the squeeze casting of porous ceramic preforms with liquid metal alloys and powder metallurgy methods.
942
Evolution of interaction domain microstructure during spray deposition
X. Liang,Enrique J. Lavernia +1 more
TL;DR: In this paper, microstructural evolution in the interaction domain was rationalized by quantitative analyses of the solid fraction of semisolid metal, the extent of deformation and deformation strain rate, and the solidification cooling rate.
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•Book
Spray Simulation: Modeling and Numerical Simulation of Sprayforming metals
Udo Fritsching
- 01 Jan 2004
TL;DR: In this paper, the authors provide an introduction to the various modelling and simulation techniques employed in spray forming, and show how they are applied in process analysis and development, wherever possible, they discuss theoretical results with reference to experimental data.
54
Spray Forming Quality Predictions via Neural Networks
TL;DR: In this paper, neural networks accurately predicted trends in spray forming process outputs based on variations in process inputs and graphs generated by the neural network prediction help to define the optimal operating region for the Spray forming process and indicate the effect of changing input process parameters on final part quality.
19
Size distribution of spray atomised aluminium alloy powders produced during linear atomisation
TL;DR: In this article, the influence of operating variables, such as atomising gas pressure and linear gas atomiser slit width, on the mass median diameter were investigated for linear spray atomisation and deposition of 3003 aluminium alloy.
7
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Spray Forming Alloy 625 Marine Piping
Angela L. Moran,William A. Palko +1 more
TL;DR: In this paper, Osprey spray forming has proven to be a viable alternative for Alloy 625 piping, showing uniform, equiaxed microstructures and mechanical properties approaching those of wrought via spray forming.
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Spray Deposition: A Fundamental Study of Droplet Impingement, Spreading and Consolidation
Diran Apelian,Alan Lawley,P. Mathur +2 more
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TL;DR: In this article, mathematical models have been developed to describe droplet-gas interactions in flight and droplet behavior on impact with the substrate to predict droplet velocity and temperature as a function of flight distance, the extent of droplet solidification on arrival at the substrate, and temperature distribution in the consolidated material during deposition.
A Fundamental Study of Droplet Impingement, Spreading and Consolidation.
Diran Apelian,Alan Lawley,G Gillen,P Mathur +3 more
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TL;DR: In this paper, the authors developed a fundamental processing science base for spray forming in the Osprey mode, a process in which gas atomized molten metal droplets are interrupted in flight by impingement on a substrate to form a relatively thick deposit.
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