[INVITED] Evaluation of process observation features for laser metal welding

Tenner, Felix; Klämpfl, Florian; Nagulin, K. Yu.; Schmidt, Michael

doi:10.1016/j.optlastec.2015.12.012

Search citation statements

Order By: Relevance

Paper Sections

Select...

Process Understanding 231 Process Observation1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

2020

Publication Types

Select...

Article4

Relationship

Self Cite1

Independent3

Authors

Journals

Cited by 4 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Observation by means of high speed imaging makes the process behavior accessible [57]. Due to the increased frame rates of modern high speed cameras process features with high fluctuations can be observed with high accuracy and reliability [257] and correlations between the different process features can be quantified [256]. In cutting processes flow characteristics of the melt at the cut front can be identified [198].…”

Section: Process Understanding 231 Process Observationmentioning

confidence: 99%