A Layer-Dependent Analytical Model for Printability Assessment of Additive Manufacturing Copper/Steel Multi-Material Components by Directed Energy Deposition
Copper/steel bimetal, one of the most popular and typical multi-material components (MMC), processes excellent comprehensive properties with the high strength of steel and the high thermal conductivity of copper alloy. Additive manufacturing (AM) technology is characterized by layer-wise fabrication...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c49f48e1e0344a87bdb0a86297d30f9a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:c49f48e1e0344a87bdb0a86297d30f9a |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:c49f48e1e0344a87bdb0a86297d30f9a2021-11-25T18:23:38ZA Layer-Dependent Analytical Model for Printability Assessment of Additive Manufacturing Copper/Steel Multi-Material Components by Directed Energy Deposition10.3390/mi121113942072-666Xhttps://doaj.org/article/c49f48e1e0344a87bdb0a86297d30f9a2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1394https://doaj.org/toc/2072-666XCopper/steel bimetal, one of the most popular and typical multi-material components (MMC), processes excellent comprehensive properties with the high strength of steel and the high thermal conductivity of copper alloy. Additive manufacturing (AM) technology is characterized by layer-wise fabrication, and thus is especially suitable for fabricating MMC. However, considering both the great difference in thermophysical properties between copper and steel and the layer-based fabrication character of the AM process, the optimal processing parameters will vary throughout the deposition process. In this paper, we propose an analytical calculation model to predict the layer-dependent processing parameters when fabricating the 07Cr15Ni5 steel on the CuCr substrate at the fixed layer thickness (0.3 mm) and hatching space (0.3 mm). Specifically, the changes in effective thermal conductivity and specific heat capacity with the layer number, as well as the absorption rate and catchment efficiency with the processing parameters are considered. The parameter maps predicted by the model have good agreement with the experimental results. The proposed analytical model provides new guidance to determine the processing windows for novel multi-material components, especially for the multi-materials whose physical properties are significantly different.Wenqi ZhangBaopeng ZhangHaifeng XiaoHuanqing YangYun WangHaihong ZhuMDPI AGarticledirected energy depositionadditive manufacturingbimetalanalytical modelprintability mapsMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1394, p 1394 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
directed energy deposition additive manufacturing bimetal analytical model printability maps Mechanical engineering and machinery TJ1-1570 |
spellingShingle |
directed energy deposition additive manufacturing bimetal analytical model printability maps Mechanical engineering and machinery TJ1-1570 Wenqi Zhang Baopeng Zhang Haifeng Xiao Huanqing Yang Yun Wang Haihong Zhu A Layer-Dependent Analytical Model for Printability Assessment of Additive Manufacturing Copper/Steel Multi-Material Components by Directed Energy Deposition |
description |
Copper/steel bimetal, one of the most popular and typical multi-material components (MMC), processes excellent comprehensive properties with the high strength of steel and the high thermal conductivity of copper alloy. Additive manufacturing (AM) technology is characterized by layer-wise fabrication, and thus is especially suitable for fabricating MMC. However, considering both the great difference in thermophysical properties between copper and steel and the layer-based fabrication character of the AM process, the optimal processing parameters will vary throughout the deposition process. In this paper, we propose an analytical calculation model to predict the layer-dependent processing parameters when fabricating the 07Cr15Ni5 steel on the CuCr substrate at the fixed layer thickness (0.3 mm) and hatching space (0.3 mm). Specifically, the changes in effective thermal conductivity and specific heat capacity with the layer number, as well as the absorption rate and catchment efficiency with the processing parameters are considered. The parameter maps predicted by the model have good agreement with the experimental results. The proposed analytical model provides new guidance to determine the processing windows for novel multi-material components, especially for the multi-materials whose physical properties are significantly different. |
format |
article |
author |
Wenqi Zhang Baopeng Zhang Haifeng Xiao Huanqing Yang Yun Wang Haihong Zhu |
author_facet |
Wenqi Zhang Baopeng Zhang Haifeng Xiao Huanqing Yang Yun Wang Haihong Zhu |
author_sort |
Wenqi Zhang |
title |
A Layer-Dependent Analytical Model for Printability Assessment of Additive Manufacturing Copper/Steel Multi-Material Components by Directed Energy Deposition |
title_short |
A Layer-Dependent Analytical Model for Printability Assessment of Additive Manufacturing Copper/Steel Multi-Material Components by Directed Energy Deposition |
title_full |
A Layer-Dependent Analytical Model for Printability Assessment of Additive Manufacturing Copper/Steel Multi-Material Components by Directed Energy Deposition |
title_fullStr |
A Layer-Dependent Analytical Model for Printability Assessment of Additive Manufacturing Copper/Steel Multi-Material Components by Directed Energy Deposition |
title_full_unstemmed |
A Layer-Dependent Analytical Model for Printability Assessment of Additive Manufacturing Copper/Steel Multi-Material Components by Directed Energy Deposition |
title_sort |
layer-dependent analytical model for printability assessment of additive manufacturing copper/steel multi-material components by directed energy deposition |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/c49f48e1e0344a87bdb0a86297d30f9a |
work_keys_str_mv |
AT wenqizhang alayerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT baopengzhang alayerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT haifengxiao alayerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT huanqingyang alayerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT yunwang alayerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT haihongzhu alayerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT wenqizhang layerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT baopengzhang layerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT haifengxiao layerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT huanqingyang layerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT yunwang layerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition AT haihongzhu layerdependentanalyticalmodelforprintabilityassessmentofadditivemanufacturingcoppersteelmultimaterialcomponentsbydirectedenergydeposition |
_version_ |
1718411222600122368 |