Non-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting
The investment casting method supported with 3D-printing technology, allows the production of unit castings or prototypes with properties most similar to those of final products. Due to the complexity of the process, it is very important to control the dimensions in the initial stages of the process...
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2021
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oai:doaj.org-article:026c1affefa6483fa65995b44596c32c2021-11-25T18:13:19ZNon-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting10.3390/ma142267581996-1944https://doaj.org/article/026c1affefa6483fa65995b44596c32c2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1944/14/22/6758https://doaj.org/toc/1996-1944The investment casting method supported with 3D-printing technology, allows the production of unit castings or prototypes with properties most similar to those of final products. Due to the complexity of the process, it is very important to control the dimensions in the initial stages of the process. This paper presents a comparison of non-contact measurement systems applied for testing of photopolymer 3D-printed injection die used in investment casting. Due to the required high quality of the surface parameters, the authors decided to use the DPP (Daylight Polymer Printing) 3D-printing technology to produce an analyzed injection die. The X-ray CT, Structured blue-light scanner and focus variation microscope measurement techniques were used to avoid any additional damages to the injection die that may arise during the measurement. The main objective of the research was to analyze the possibility of using non-contact measurement systems as a tool for analyzing the quality of the surface of a 3D-printed injection die. Dimensional accuracy analysis, form and position deviations, defect detection, and comparison with a CAD model were carried out.Arkadiusz KromaMichał MendakMichał JakubowiczBartosz GapińskiPaweł PopielarskiMDPI AGarticleDPP3D printingX-CTfocus variation microscopystructured blue-light scannerinvestment castingTechnologyTElectrical engineering. Electronics. Nuclear engineeringTK1-9971Engineering (General). Civil engineering (General)TA1-2040MicroscopyQH201-278.5Descriptive and experimental mechanicsQC120-168.85ENMaterials, Vol 14, Iss 6758, p 6758 (2021) |
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DPP 3D printing X-CT focus variation microscopy structured blue-light scanner investment casting Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 |
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DPP 3D printing X-CT focus variation microscopy structured blue-light scanner investment casting Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 Arkadiusz Kroma Michał Mendak Michał Jakubowicz Bartosz Gapiński Paweł Popielarski Non-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting |
description |
The investment casting method supported with 3D-printing technology, allows the production of unit castings or prototypes with properties most similar to those of final products. Due to the complexity of the process, it is very important to control the dimensions in the initial stages of the process. This paper presents a comparison of non-contact measurement systems applied for testing of photopolymer 3D-printed injection die used in investment casting. Due to the required high quality of the surface parameters, the authors decided to use the DPP (Daylight Polymer Printing) 3D-printing technology to produce an analyzed injection die. The X-ray CT, Structured blue-light scanner and focus variation microscope measurement techniques were used to avoid any additional damages to the injection die that may arise during the measurement. The main objective of the research was to analyze the possibility of using non-contact measurement systems as a tool for analyzing the quality of the surface of a 3D-printed injection die. Dimensional accuracy analysis, form and position deviations, defect detection, and comparison with a CAD model were carried out. |
format |
article |
author |
Arkadiusz Kroma Michał Mendak Michał Jakubowicz Bartosz Gapiński Paweł Popielarski |
author_facet |
Arkadiusz Kroma Michał Mendak Michał Jakubowicz Bartosz Gapiński Paweł Popielarski |
author_sort |
Arkadiusz Kroma |
title |
Non-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting |
title_short |
Non-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting |
title_full |
Non-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting |
title_fullStr |
Non-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting |
title_full_unstemmed |
Non-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting |
title_sort |
non-contact multiscale analysis of a dpp 3d-printed injection die for investment casting |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/026c1affefa6483fa65995b44596c32c |
work_keys_str_mv |
AT arkadiuszkroma noncontactmultiscaleanalysisofadpp3dprintedinjectiondieforinvestmentcasting AT michałmendak noncontactmultiscaleanalysisofadpp3dprintedinjectiondieforinvestmentcasting AT michałjakubowicz noncontactmultiscaleanalysisofadpp3dprintedinjectiondieforinvestmentcasting AT bartoszgapinski noncontactmultiscaleanalysisofadpp3dprintedinjectiondieforinvestmentcasting AT pawełpopielarski noncontactmultiscaleanalysisofadpp3dprintedinjectiondieforinvestmentcasting |
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1718411418286424064 |