Analytical and Numerical Temperature Prediction in Direct Metal Deposition of Ti6Al4V
Direct Metal Deposition (DMD) is an additive manufacturing (AM) process capable of producing large components using a layer by layer deposition of molten powder. DMD is increasingly investigated due to its higher deposition rate and the possibility to produce large structural components specifically...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-07-01
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| Series: | Journal of Manufacturing and Materials Processing |
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| Online Access: | https://www.mdpi.com/2504-4494/1/1/3 |
| _version_ | 1818024665193381888 |
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| author | Benoit de La Batut Omar Fergani Vegard Brotan Markus Bambach Mohamed El Mansouri |
| author_facet | Benoit de La Batut Omar Fergani Vegard Brotan Markus Bambach Mohamed El Mansouri |
| author_sort | Benoit de La Batut |
| collection | DOAJ |
| description | Direct Metal Deposition (DMD) is an additive manufacturing (AM) process capable of producing large components using a layer by layer deposition of molten powder. DMD is increasingly investigated due to its higher deposition rate and the possibility to produce large structural components specifically for the aerospace industry. During fabrication, a complex thermal history is experienced in different regions of the workpiece, depending on the process parameters and part geometry. The thermal history induces residual stress accumulation in the buildup, which is the main cause of distortions. In order to control the process and enhance the product quality, the understanding of the workpiece temperature is substantial. In this study, two methods to predict temperature evolution during the DMD process are introduced based on analytical and finite element methods. The objective is to compare these methods to experimental results and to provide more insights about their capabilities to predict accurately the temperature gradient, the cooling rate, and the melt pool geometry. A comparison of the computational time is also provided. Based on the results of the investigation, It appears that the analytical method provides an effective and accurate method to understand the influence of the process on the workpiece temperature. |
| first_indexed | 2024-12-10T04:03:49Z |
| format | Article |
| id | doaj.art-1e46aadc7fbe4932a5644fbc3fa14fb1 |
| institution | Directory Open Access Journal |
| issn | 2504-4494 |
| language | English |
| last_indexed | 2024-12-10T04:03:49Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Manufacturing and Materials Processing |
| spelling | doaj.art-1e46aadc7fbe4932a5644fbc3fa14fb12022-12-22T02:02:54ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942017-07-0111310.3390/jmmp1010003jmmp1010003Analytical and Numerical Temperature Prediction in Direct Metal Deposition of Ti6Al4VBenoit de La Batut0Omar Fergani1Vegard Brotan2Markus Bambach3Mohamed El Mansouri4Ecole Centrale de Lyon, 69134 Ecully Cedex, FranceDepartment of Mechanical and Industrial Engineering, NTNU, Richard Birkeland’s vei 2B, 7010 Trondheim, NorwaySINTEF Manufacturing, 7010 Trondheim, NorwayChair for Mechanical Design and Manufacturing, BTU Cottbus-Senftenberg, 03046 Cottbus, GermanyENSAM, MSMP Laboratory (EA-7350), 2 cours des Arts et Métiers, 13617 Aix-en-Provence, FranceDirect Metal Deposition (DMD) is an additive manufacturing (AM) process capable of producing large components using a layer by layer deposition of molten powder. DMD is increasingly investigated due to its higher deposition rate and the possibility to produce large structural components specifically for the aerospace industry. During fabrication, a complex thermal history is experienced in different regions of the workpiece, depending on the process parameters and part geometry. The thermal history induces residual stress accumulation in the buildup, which is the main cause of distortions. In order to control the process and enhance the product quality, the understanding of the workpiece temperature is substantial. In this study, two methods to predict temperature evolution during the DMD process are introduced based on analytical and finite element methods. The objective is to compare these methods to experimental results and to provide more insights about their capabilities to predict accurately the temperature gradient, the cooling rate, and the melt pool geometry. A comparison of the computational time is also provided. Based on the results of the investigation, It appears that the analytical method provides an effective and accurate method to understand the influence of the process on the workpiece temperature.https://www.mdpi.com/2504-4494/1/1/3additive manufacturingdirect metal depositiontemperaturepredictionanalyticalfinite elementmelt pool |
| spellingShingle | Benoit de La Batut Omar Fergani Vegard Brotan Markus Bambach Mohamed El Mansouri Analytical and Numerical Temperature Prediction in Direct Metal Deposition of Ti6Al4V Journal of Manufacturing and Materials Processing additive manufacturing direct metal deposition temperature prediction analytical finite element melt pool |
| title | Analytical and Numerical Temperature Prediction in Direct Metal Deposition of Ti6Al4V |
| title_full | Analytical and Numerical Temperature Prediction in Direct Metal Deposition of Ti6Al4V |
| title_fullStr | Analytical and Numerical Temperature Prediction in Direct Metal Deposition of Ti6Al4V |
| title_full_unstemmed | Analytical and Numerical Temperature Prediction in Direct Metal Deposition of Ti6Al4V |
| title_short | Analytical and Numerical Temperature Prediction in Direct Metal Deposition of Ti6Al4V |
| title_sort | analytical and numerical temperature prediction in direct metal deposition of ti6al4v |
| topic | additive manufacturing direct metal deposition temperature prediction analytical finite element melt pool |
| url | https://www.mdpi.com/2504-4494/1/1/3 |
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