Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Niklas Grambow
  • Lennart Hinz
  • Christian Bonk
  • Jörg Krüger
  • Eduard Reithmeier

Externe Organisationen

  • Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik (IPK)
  • Robert Bosch GmbH
  • Technische Universität Berlin
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)169-185
Seitenumfang17
FachzeitschriftMetrology
Jahrgang3
Ausgabenummer2
Frühes Online-Datum8 Mai 2023
PublikationsstatusVeröffentlicht - Juni 2023

Abstract

The increasing demand for electric drives challenges conventional powertrain designs and requires new technologies to increase production efficiency. Hairpin stator manufacturing technology enables full automation, and quality control within the process is particularly important for increasing the process capacity, avoiding rejects and for safety-related aspects. Due to the complex, free-form geometries of hairpin stators and the required short inspection times, inline reconstruction and accurate quantification of relevant features is of particular importance. In this study, we propose a novel method to estimate the creepage distance, a feature that is crucial regarding the safety standards of hairpin stators and that could be determined neither automatically nor accurately until now. The data acquisition is based on fringe projection profilometry and a robot positioning system for a highly complete surface reconstruction. After alignment, the wire pairs are density-based clustered so that computations can be parallelized for each cluster, and an analysis of partial geometries is enabled. In several further steps, stripping edges are segmented automatically using a novel approach of spatially asymmetric windowed local surface normal variation, and the creepage distances are subsequently estimated using a geodesic path algorithm. Finally, the approach is examined and discussed for an entire stator, and a methodology is presented that enables the identification of implausible estimated creepage distances.

ASJC Scopus Sachgebiete

Zitieren

Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction. / Grambow, Niklas; Hinz, Lennart; Bonk, Christian et al.
in: Metrology, Jahrgang 3, Nr. 2, 06.2023, S. 169-185.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Grambow, N, Hinz, L, Bonk, C, Krüger, J & Reithmeier, E 2023, 'Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction', Metrology, Jg. 3, Nr. 2, S. 169-185. https://doi.org/10.3390/metrology3020010
Grambow, N., Hinz, L., Bonk, C., Krüger, J., & Reithmeier, E. (2023). Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction. Metrology, 3(2), 169-185. https://doi.org/10.3390/metrology3020010
Grambow N, Hinz L, Bonk C, Krüger J, Reithmeier E. Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction. Metrology. 2023 Jun;3(2):169-185. Epub 2023 Mai 8. doi: 10.3390/metrology3020010
Grambow, Niklas ; Hinz, Lennart ; Bonk, Christian et al. / Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction. in: Metrology. 2023 ; Jahrgang 3, Nr. 2. S. 169-185.
Download
@article{feb4605c3db64228bae306a5085239be,
title = "Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction",
abstract = "The increasing demand for electric drives challenges conventional powertrain designs and requires new technologies to increase production efficiency. Hairpin stator manufacturing technology enables full automation, and quality control within the process is particularly important for increasing the process capacity, avoiding rejects and for safety-related aspects. Due to the complex, free-form geometries of hairpin stators and the required short inspection times, inline reconstruction and accurate quantification of relevant features is of particular importance. In this study, we propose a novel method to estimate the creepage distance, a feature that is crucial regarding the safety standards of hairpin stators and that could be determined neither automatically nor accurately until now. The data acquisition is based on fringe projection profilometry and a robot positioning system for a highly complete surface reconstruction. After alignment, the wire pairs are density-based clustered so that computations can be parallelized for each cluster, and an analysis of partial geometries is enabled. In several further steps, stripping edges are segmented automatically using a novel approach of spatially asymmetric windowed local surface normal variation, and the creepage distances are subsequently estimated using a geodesic path algorithm. Finally, the approach is examined and discussed for an entire stator, and a methodology is presented that enables the identification of implausible estimated creepage distances.",
keywords = "3D feature extraction, creepage distance, hairpin technology, production metrology",
author = "Niklas Grambow and Lennart Hinz and Christian Bonk and J{\"o}rg Kr{\"u}ger and Eduard Reithmeier",
year = "2023",
month = jun,
doi = "10.3390/metrology3020010",
language = "English",
volume = "3",
pages = "169--185",
number = "2",

}

Download

TY - JOUR

T1 - Creepage Distance Estimation of Hairpin Stators Using 3D Feature Extraction

AU - Grambow, Niklas

AU - Hinz, Lennart

AU - Bonk, Christian

AU - Krüger, Jörg

AU - Reithmeier, Eduard

PY - 2023/6

Y1 - 2023/6

N2 - The increasing demand for electric drives challenges conventional powertrain designs and requires new technologies to increase production efficiency. Hairpin stator manufacturing technology enables full automation, and quality control within the process is particularly important for increasing the process capacity, avoiding rejects and for safety-related aspects. Due to the complex, free-form geometries of hairpin stators and the required short inspection times, inline reconstruction and accurate quantification of relevant features is of particular importance. In this study, we propose a novel method to estimate the creepage distance, a feature that is crucial regarding the safety standards of hairpin stators and that could be determined neither automatically nor accurately until now. The data acquisition is based on fringe projection profilometry and a robot positioning system for a highly complete surface reconstruction. After alignment, the wire pairs are density-based clustered so that computations can be parallelized for each cluster, and an analysis of partial geometries is enabled. In several further steps, stripping edges are segmented automatically using a novel approach of spatially asymmetric windowed local surface normal variation, and the creepage distances are subsequently estimated using a geodesic path algorithm. Finally, the approach is examined and discussed for an entire stator, and a methodology is presented that enables the identification of implausible estimated creepage distances.

AB - The increasing demand for electric drives challenges conventional powertrain designs and requires new technologies to increase production efficiency. Hairpin stator manufacturing technology enables full automation, and quality control within the process is particularly important for increasing the process capacity, avoiding rejects and for safety-related aspects. Due to the complex, free-form geometries of hairpin stators and the required short inspection times, inline reconstruction and accurate quantification of relevant features is of particular importance. In this study, we propose a novel method to estimate the creepage distance, a feature that is crucial regarding the safety standards of hairpin stators and that could be determined neither automatically nor accurately until now. The data acquisition is based on fringe projection profilometry and a robot positioning system for a highly complete surface reconstruction. After alignment, the wire pairs are density-based clustered so that computations can be parallelized for each cluster, and an analysis of partial geometries is enabled. In several further steps, stripping edges are segmented automatically using a novel approach of spatially asymmetric windowed local surface normal variation, and the creepage distances are subsequently estimated using a geodesic path algorithm. Finally, the approach is examined and discussed for an entire stator, and a methodology is presented that enables the identification of implausible estimated creepage distances.

KW - 3D feature extraction

KW - creepage distance

KW - hairpin technology

KW - production metrology

UR - http://www.scopus.com/inward/record.url?scp=85183460026&partnerID=8YFLogxK

U2 - 10.3390/metrology3020010

DO - 10.3390/metrology3020010

M3 - Article

AN - SCOPUS:85183460026

VL - 3

SP - 169

EP - 185

JO - Metrology

JF - Metrology

IS - 2

ER -

Von denselben Autoren