Multiple-objective optimization in precision laser cutting of different thermoplastics

Tamrin, K. F. and Nukman, Y. and Choudhury, A. and Shirleya, S. (2015) Multiple-objective optimization in precision laser cutting of different thermoplastics. Optics and Lasers in Engineering, 67. pp. 57-65. ISSN 0143-8166

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Thermoplastics are increasingly being used in biomedical, automotive and electronics industries due to their excellent physical and chemical properties. Due to the localized and non-contact process, use of lasers for cutting could result in precise cut with small heat-affected zone (HAZ). Precision laser cutting involving various materials is important in high-volume manufacturing processes to minimize operational cost, error reduction and improve product quality. This study uses grey relational analysis to determine a single optimized set of cutting parameters for three different thermoplastics. The set of the optimized processing parameters is determined based on the highest relational grade and was found at low laser power (200 W), high cutting speed (0.4 m/min) and low compressed air pressure (2.5 bar). The result matches with the objective set in the present study. Analysis of variance (ANOVA) is then carried out to ascertain the relative influence of process parameters on the cutting characteristics. It was found that the laser power has dominant effect on HAZ for all thermoplastics.

Item Type: Article
Uncontrolled Keywords: Laser cutting, Thermoplastic, Grey relational analysis, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education Optimization, research, Universiti Malaysia Sarawak
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 25 Sep 2017 03:38
Last Modified: 25 Sep 2017 03:38

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