journal article·2018-11-01

Developing an algorithm for predicting depth as well as number of passes during CO2 laser machining on thermoplastic material

Arif M. Varsi, Abdul Hafiz Shaikh

Journal of Laser Applications· Volume 30· Issue 4
Publisher page

Abstract

Polymethylmethacrylate has an advantage of absorbing the maximum intensity of the radiation incident on it. This makes it suitable to be machined by a laser machining process for creating spherical and rectangular cavities. The most important parameter for achieving the required depth of the cavity is the number of passes of the laser probe along with laser power and scanning speed. This paper deals with the development of an algorithm for predicting the depth of cut for a given number of passes. Further, an attempt is made to develop an algorithm to predict a number of the laser beam passes for a required depth of cut. Both the proposed algorithms show good convergence with the experimental results. The major concern in both the proposed algorithms is the focused distance and depth of cut, which go on changing nonlinearly with an increase in the number of passes.
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Research context

OpenAlex topics: Laser Material Processing Techniques · Advanced machining processes and optimization · Advanced Measurement and Metrology Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

S. N. Patel Institute of Technology and Research Centre 1 , Bardoli 394 345, Gujarat, India

Sardar Vallabhbhai National Institute of Technology 2 , Surat 395 007, India

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