Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ)
Multi-material jetting (CerAM MMJ, previously T3DP) enables the additive manufacturing of ceramics, metals, glass and hardmetals, demonstrating comparatively high solid contents of the processed materials. The material is applied drop by drop onto a substrate. The droplets can be adapted to the comp...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Journal of Manufacturing and Materials Processing |
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| Online Access: | https://www.mdpi.com/2504-4494/4/3/74 |
| _version_ | 1797561777536368640 |
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| author | Valentin Lang Steven Weingarten Hajo Wiemer Uwe Scheithauer Felix Glausch Robert Johne Alexander Michaelis Steffen Ihlenfeldt |
| author_facet | Valentin Lang Steven Weingarten Hajo Wiemer Uwe Scheithauer Felix Glausch Robert Johne Alexander Michaelis Steffen Ihlenfeldt |
| author_sort | Valentin Lang |
| collection | DOAJ |
| description | Multi-material jetting (CerAM MMJ, previously T3DP) enables the additive manufacturing of ceramics, metals, glass and hardmetals, demonstrating comparatively high solid contents of the processed materials. The material is applied drop by drop onto a substrate. The droplets can be adapted to the component to be produced by a large degree of freedom in parameterization. Thus, large volumes can be processed quickly and fine structures can be displayed in detail, based on the droplet size. Data-driven methods are applied to build process knowledge and to contribute to the optimization of CerAM MMJ manufacturing processes. As a basis for the computational exploitation of mass sensor data from the technological process chain for manufacturing a component with CerAM MMJ, a data management plan was developed with the help of an engineering workflow. Focusing on the process step of green part production, droplet structures as intermediate products of 3D generation were described by means of droplet height, droplet circularity, the number of ambient satellite particles, as well as the associated standard deviations. First of all, the weighting of the factors influencing the droplet geometry was determined by means of single factor preliminary tests, in order to be able to reduce the number of factors to be considered in the detailed test series. The identification of key influences (falling time, needle lift, rising time, air supply pressure) permitted an optimization of the droplet geometry according to the introduced target characteristics by means of a design of experiments. |
| first_indexed | 2024-03-10T18:19:24Z |
| format | Article |
| id | doaj.art-f5c3afc34ba54d2a92c9ebee21f96661 |
| institution | Directory Open Access Journal |
| issn | 2504-4494 |
| language | English |
| last_indexed | 2024-03-10T18:19:24Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Manufacturing and Materials Processing |
| spelling | doaj.art-f5c3afc34ba54d2a92c9ebee21f966612023-11-20T07:31:11ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942020-07-01437410.3390/jmmp4030074Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ)Valentin Lang0Steven Weingarten1Hajo Wiemer2Uwe Scheithauer3Felix Glausch4Robert Johne5Alexander Michaelis6Steffen Ihlenfeldt7Institute of Mechatronic Engineering, Technische Universität Dresden, 01069 Dresden, GermanyFraunhofer Institute for Ceramic Technologies and Systems IKTS, 01277 Dresden, GermanyInstitute of Mechatronic Engineering, Technische Universität Dresden, 01069 Dresden, GermanyFraunhofer Institute for Ceramic Technologies and Systems IKTS, 01277 Dresden, GermanyInstitute of Mechatronic Engineering, Technische Universität Dresden, 01069 Dresden, GermanyFraunhofer Singapore, Singapore 639798, SingaporeFraunhofer Institute for Ceramic Technologies and Systems IKTS, 01277 Dresden, GermanyInstitute of Mechatronic Engineering, Technische Universität Dresden, 01069 Dresden, GermanyMulti-material jetting (CerAM MMJ, previously T3DP) enables the additive manufacturing of ceramics, metals, glass and hardmetals, demonstrating comparatively high solid contents of the processed materials. The material is applied drop by drop onto a substrate. The droplets can be adapted to the component to be produced by a large degree of freedom in parameterization. Thus, large volumes can be processed quickly and fine structures can be displayed in detail, based on the droplet size. Data-driven methods are applied to build process knowledge and to contribute to the optimization of CerAM MMJ manufacturing processes. As a basis for the computational exploitation of mass sensor data from the technological process chain for manufacturing a component with CerAM MMJ, a data management plan was developed with the help of an engineering workflow. Focusing on the process step of green part production, droplet structures as intermediate products of 3D generation were described by means of droplet height, droplet circularity, the number of ambient satellite particles, as well as the associated standard deviations. First of all, the weighting of the factors influencing the droplet geometry was determined by means of single factor preliminary tests, in order to be able to reduce the number of factors to be considered in the detailed test series. The identification of key influences (falling time, needle lift, rising time, air supply pressure) permitted an optimization of the droplet geometry according to the introduced target characteristics by means of a design of experiments.https://www.mdpi.com/2504-4494/4/3/74data managementadditive manufacturingceramicsmulti-material jettingdesign of experiments |
| spellingShingle | Valentin Lang Steven Weingarten Hajo Wiemer Uwe Scheithauer Felix Glausch Robert Johne Alexander Michaelis Steffen Ihlenfeldt Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ) Journal of Manufacturing and Materials Processing data management additive manufacturing ceramics multi-material jetting design of experiments |
| title | Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ) |
| title_full | Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ) |
| title_fullStr | Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ) |
| title_full_unstemmed | Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ) |
| title_short | Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ) |
| title_sort | process data based knowledge discovery in additive manufacturing of ceramic materials by multi material jetting ceram mmj |
| topic | data management additive manufacturing ceramics multi-material jetting design of experiments |
| url | https://www.mdpi.com/2504-4494/4/3/74 |
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