Details
| Translated title of the contribution | Automated modeling for quality assurance in industrial production |
|---|---|
| Original language | German |
| Pages (from-to) | 192-202 |
| Number of pages | 11 |
| Journal | AVN Allgemeine Vermessungs-Nachrichten |
| Volume | 128 |
| Issue number | 4 |
| Publication status | Published - 2021 |
Abstract
The following article describes a process with which the manufacturing process of the surface finish of luxury yachts can be optimized and thus made more efficient. For this purpose, a method was developed for the reconstruction of ship surfaces from point clouds, taking into account the construction data and aesthetic requirements. This method was developed for processing large amounts of data. The aim is to develop a target model for the coating of ship surfaces that is optimized in terms of requirements. For this purpose, a laser scanner point cloud is automatically cleaned of disruptive elements and classified. A curvature-based grid is created that serves as the basis for the automated modeling. Using construc-tional and aesthetic specifications, a design model is deformed and the point cloud is approximated. The surfaces created in this way can then be used for quality assurance of the filler application. By using the developed methods, a reduction of the evaluation time of more than 60 % can be achieved.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Social Sciences(all)
- Geography, Planning and Development
- Earth and Planetary Sciences(all)
- Earth and Planetary Sciences (miscellaneous)
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In: AVN Allgemeine Vermessungs-Nachrichten, Vol. 128, No. 4, 2021, p. 192-202.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Automatisierte Modellierung als Beitrag für die Qualitätssicherung in der industriellen Produktion
AU - Gierschner, Fabian
AU - Kenneweg, Robert
AU - Ambrosat, Tina
AU - Böß, Volker
AU - Geist, Michael
AU - Hartmann, Jens
AU - Flügge, Wilko
AU - Denkena, Berend
PY - 2021
Y1 - 2021
N2 - The following article describes a process with which the manufacturing process of the surface finish of luxury yachts can be optimized and thus made more efficient. For this purpose, a method was developed for the reconstruction of ship surfaces from point clouds, taking into account the construction data and aesthetic requirements. This method was developed for processing large amounts of data. The aim is to develop a target model for the coating of ship surfaces that is optimized in terms of requirements. For this purpose, a laser scanner point cloud is automatically cleaned of disruptive elements and classified. A curvature-based grid is created that serves as the basis for the automated modeling. Using construc-tional and aesthetic specifications, a design model is deformed and the point cloud is approximated. The surfaces created in this way can then be used for quality assurance of the filler application. By using the developed methods, a reduction of the evaluation time of more than 60 % can be achieved.
AB - The following article describes a process with which the manufacturing process of the surface finish of luxury yachts can be optimized and thus made more efficient. For this purpose, a method was developed for the reconstruction of ship surfaces from point clouds, taking into account the construction data and aesthetic requirements. This method was developed for processing large amounts of data. The aim is to develop a target model for the coating of ship surfaces that is optimized in terms of requirements. For this purpose, a laser scanner point cloud is automatically cleaned of disruptive elements and classified. A curvature-based grid is created that serves as the basis for the automated modeling. Using construc-tional and aesthetic specifications, a design model is deformed and the point cloud is approximated. The surfaces created in this way can then be used for quality assurance of the filler application. By using the developed methods, a reduction of the evaluation time of more than 60 % can be achieved.
KW - Laser scanning
KW - Modeling
KW - Point cloud processing
KW - Quality assurance
UR - http://www.scopus.com/inward/record.url?scp=85114235197&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:85114235197
VL - 128
SP - 192
EP - 202
JO - AVN Allgemeine Vermessungs-Nachrichten
JF - AVN Allgemeine Vermessungs-Nachrichten
SN - 0002-5968
IS - 4
ER -