CAD integrated automatic recognition of weld paths

In this paper, a CAD integrated method is proposed for automatic recognition of potential weld locations in large assembly structures predominantly comprised of weld joints. The intention is to reduce the total man-hours spent on manually locating, assigning, and maintaining weld-related information...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of advanced manufacturing technology Ročník 115; číslo 7-8; s. 2145 - 2159
Hlavní autoři: Tran, Tuan Anh, Lobov, Andrei, Kaasa, Tord Hansen, Bjelland, Morten, Midling, Ole Terje
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Springer London 01.08.2021
Springer Nature B.V
Témata:
ISSN:0268-3768, 1433-3015
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:In this paper, a CAD integrated method is proposed for automatic recognition of potential weld locations in large assembly structures predominantly comprised of weld joints. The intention is to reduce the total man-hours spent on manually locating, assigning, and maintaining weld-related information throughout the product life cycle. The method utilizes spatial analysis of extracted stereolithographic data in combination with available CAD functions to determine whether the accessibility surrounding a given intersection edge is sufficient for welding. To demonstrate the method, a system is developed in Siemens NX using their NXOpen Python API. The paper presents the application of the method to real-life use cases in varying complexity in cooperation with industrial partners. The system is able to correctly recognize almost all weld lines for the parts considered within a few minutes. Some exceptions are known for particular intersection lines located deep within notched joints and geometries weldable through sequential assembly, which are left as a subject to further works.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-021-07186-0