Matching a Welding Robot Coordinate System With Technological Equipment During the Assembly of Aircraft Pipes

Трушников, В. Е.; Grishin, M. V.; Pavlov, Pavel Yu.

doi:10.1088/1755-1315/194/2/022041

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For artificial neural networks, there has been a very defined increase lately in the applications of deep learning solutions [19]. An alternative method for welded workpiece displacement correction are reference system adaptation algorithms-this approach was presented in [20] and concerned the welding of tubular workpieces for jet engines. To solve the problem of improving the quality of welds, not only were complex neuron algorithms used, but also elements of virtual reality (VR) [21], where the welding process was optimized using its digital 'twin' [16].…”

Section: Introductionmentioning

confidence: 99%

Automatic Evaluation of the Robotic Production Process for an Aircraft Jet Engine Casing

Uliasz¹,

Ornat²,

Burghardt

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

This paper investigated the design of a system to monitor the status of the robotic welding process of thin-walled components for an aircraft jet engine. Opportunities to measure and log processing parameters, such as welding speed, current, and voltage, on the existing production cell were taken. The acquired data were processed using elements of descriptive statistics. Obtained indicators were matched with physical inspection results of the weld’s quality. The adopted methodology was used to identify an essential parameter determining the presence of defined weld defects. The developed solution was implemented in the production cell.

show abstract