Effect of overlap and overscan number in laser surface texturing of medical needles

Xingsheng Wang*, Youqiang Xing, Marco Giovannini

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Micro-features are frequently created on medical needles to improve the visibility and friction behavior in ultrasound-guided percutaneous procedures. Ultra-short pulsed laser ablation is the front runner among the current material micro-processing technologies. In this paper, the effect of process parameters in laser surface texturing (LST) of medical needles was studied by experiments based on Taguchi methodology. The evolution of ablation dimension and surface roughness with different process parameters was measured by optical microscope. Based on response surface regression, mathematical models for correlating the machined depth and surface roughness with the overlap and overscan number were developed. Analysis of variance (ANOVA) was carried out to access the adequacy of the developed mathematical models. The results indicate that the developed mathematical models can predict the machined depth and surface roughness during LST operation satisfactorily. Analyses were made to study the effect of the process parameters on the machined micro-channel. From the analysis, it was found that the overlap and overscan number have great influences on the machined depth and surface roughness.

Original languageEnglish (US)
Pages (from-to)229-238
Number of pages10
JournalApplied Physics A: Materials Science and Processing
Volume120
Issue number1
DOIs
StatePublished - Jul 10 2015
Externally publishedYes

ASJC Scopus subject areas

  • General Chemistry
  • General Materials Science

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