Modeling and Characterization of Friction Stir Fabricated Coatings on Al6061 and Al5083 Substrates

We have created a three-dimensional, implicit finite difference model that can accurately calculate temperatures within the bulk of a sample during a friction stir fabrication process. The model was written in Wolfram Mathematica® 7 for Students, and allows for time-efficient calculation of thermal...

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Main Author: Gray, David T.
Other Authors: Materials Science and Engineering
Format: Others
Language:en_US
Published: Virginia Tech 2017
Subjects:
Online Access:http://hdl.handle.net/10919/77288
http://scholar.lib.vt.edu/theses/available/etd-12182009-135408/
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-772882020-09-29T05:31:28Z Modeling and Characterization of Friction Stir Fabricated Coatings on Al6061 and Al5083 Substrates Gray, David T. Materials Science and Engineering Kampe, Stephen L. Schultz, Jeffery P. Hendricks, Robert W. Reynolds, William T. Jr. Mathematica Finite Difference Al6061 Al5083 Friction Stir Aluminum Thermal Model We have created a three-dimensional, implicit finite difference model that can accurately calculate temperatures within the bulk of a sample during a friction stir fabrication process. The model was written in Wolfram Mathematica® 7 for Students, and allows for time-efficient calculation of thermal profiles. The non-dimensionality of the model allows for accurate refinement of the temporospatial mesh, and provides portability across material types. The model provides insight as to the mechanism of heat generation by qualifying the fraction of mechanical energy converted to thermal energy for different material types and sample geometries. Finally, our model gives an understanding of the effects of the heat transfer at the boundaries of the workpiece and suggests a backside heat loss localized at the center of the tool due to a decrease in thermal contact resistance. We have explored the effects of processing parameters on the performance of the friction stir fabrication process. The process has four stages; tool insertion, warm-up, bead formation, and steady-state translation. The tool insertion phase is characterized by a rapid increase in system horsepower requirements. During the warm-up phase, the mechanical energy of the rotating tip is converted to thermal energy. Once enough thermal energy has been transferred to the workpiece, the volume between the tip and the workpiece is filled by feedstock material. Finally, the tool is translated under relatively steady-state conditions. The success or failure of the process is dependent on adequate material delivery to the system. The horsepower requirements of the process depend on the material type and the rate of material delivery. We have explored the effect of processing parameters on the microstructure of the processed samples. Optical microscopy shows that the stratification of layers within the weld and the depth of the weld are both dependent on the processing parameters. EBSD analysis coupled with Vicker's microhardness measurements of the processed pieces show that the grain size within the weld nugget is constant over the range of processing parameters available to the system. Data also show that pressure and heat inherent in friction stir processing of strain-hardened Al5083 counteract strengthening of the temper of the alloy. Ph. D. 2017-04-06T15:44:31Z 2017-04-06T15:44:31Z 2009-12-09 2009-12-18 2016-09-30 2010-01-15 Dissertation Text etd-12182009-135408 http://hdl.handle.net/10919/77288 http://scholar.lib.vt.edu/theses/available/etd-12182009-135408/ en_US In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf application/pdf Virginia Tech
collection NDLTD
language en_US
format Others
sources NDLTD
topic Mathematica
Finite Difference
Al6061
Al5083
Friction Stir
Aluminum
Thermal Model
spellingShingle Mathematica
Finite Difference
Al6061
Al5083
Friction Stir
Aluminum
Thermal Model
Gray, David T.
Modeling and Characterization of Friction Stir Fabricated Coatings on Al6061 and Al5083 Substrates
description We have created a three-dimensional, implicit finite difference model that can accurately calculate temperatures within the bulk of a sample during a friction stir fabrication process. The model was written in Wolfram Mathematica® 7 for Students, and allows for time-efficient calculation of thermal profiles. The non-dimensionality of the model allows for accurate refinement of the temporospatial mesh, and provides portability across material types. The model provides insight as to the mechanism of heat generation by qualifying the fraction of mechanical energy converted to thermal energy for different material types and sample geometries. Finally, our model gives an understanding of the effects of the heat transfer at the boundaries of the workpiece and suggests a backside heat loss localized at the center of the tool due to a decrease in thermal contact resistance. We have explored the effects of processing parameters on the performance of the friction stir fabrication process. The process has four stages; tool insertion, warm-up, bead formation, and steady-state translation. The tool insertion phase is characterized by a rapid increase in system horsepower requirements. During the warm-up phase, the mechanical energy of the rotating tip is converted to thermal energy. Once enough thermal energy has been transferred to the workpiece, the volume between the tip and the workpiece is filled by feedstock material. Finally, the tool is translated under relatively steady-state conditions. The success or failure of the process is dependent on adequate material delivery to the system. The horsepower requirements of the process depend on the material type and the rate of material delivery. We have explored the effect of processing parameters on the microstructure of the processed samples. Optical microscopy shows that the stratification of layers within the weld and the depth of the weld are both dependent on the processing parameters. EBSD analysis coupled with Vicker's microhardness measurements of the processed pieces show that the grain size within the weld nugget is constant over the range of processing parameters available to the system. Data also show that pressure and heat inherent in friction stir processing of strain-hardened Al5083 counteract strengthening of the temper of the alloy. === Ph. D.
author2 Materials Science and Engineering
author_facet Materials Science and Engineering
Gray, David T.
author Gray, David T.
author_sort Gray, David T.
title Modeling and Characterization of Friction Stir Fabricated Coatings on Al6061 and Al5083 Substrates
title_short Modeling and Characterization of Friction Stir Fabricated Coatings on Al6061 and Al5083 Substrates
title_full Modeling and Characterization of Friction Stir Fabricated Coatings on Al6061 and Al5083 Substrates
title_fullStr Modeling and Characterization of Friction Stir Fabricated Coatings on Al6061 and Al5083 Substrates
title_full_unstemmed Modeling and Characterization of Friction Stir Fabricated Coatings on Al6061 and Al5083 Substrates
title_sort modeling and characterization of friction stir fabricated coatings on al6061 and al5083 substrates
publisher Virginia Tech
publishDate 2017
url http://hdl.handle.net/10919/77288
http://scholar.lib.vt.edu/theses/available/etd-12182009-135408/
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