145
Views
0
CrossRef citations to date
0
Altmetric
Articles

Investigation of SOD control on leather carbonization in diode laser cutting

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 544-553 | Received 01 Jan 2022, Accepted 27 Jan 2022, Published online: 17 Feb 2022
 

ABSTRACT

Laser beam machining has a significant advantage over hand cutting of leather in terms of output rate and efficiency. The pulsed mode diode laser was chosen for leather cutting in this investigation owing to its controlled optical power and less power consumption while the continuous mode lasers are uncontrollable. There is no technique available in the field of adaptive control approach for Stand-off Distance (SOD) in diode laser leather cutting application. Hence an attempt has been made to investigate the effectiveness of SOD on leather surface carbonization using power diode-based laser beam machining approach. Chrome tanned goat leather was taken as workpiece due to its widespread application in the manufacture of footwear, apparel, and wallets. An adaptive controller has been developed using ultrasonic sensor which sets the standoff distance accordingly from the workpiece surface to the laser diode, which reduces the overall time consumption for manual setting of standoff distance and enhances the machining process. This study reports the carbonization values during leather cutting under the adaptive control of standoff distance.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 561.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.