Affiliation:
1. BANDIRMA ONYEDİ EYLÜL ÜNİVERSİTESİ
2. OSMANİYE KORKUT ATA ÜNİVERSİTESİ
Abstract
Understanding and optimizing the CO2 laser cutting process of thermoplastic materials is critical for improving product quality, reducing waste, and achieving efficient manufacturing processes. This study aimed to investigate the effects of a number of input parameters (i.e., material type, power, and cutting speed) on the key output parameters (i.e., kerf width and heat affected zone) in CO2 laser cutting of thermoplastic materials. The laser cutting process was performed based on the Taguchi L18 (21x32) orthogonal array design. The effects of cutting parameters on the outputs were calculated by using the signal-to-noise (S/N) ratio and analysis of variance (ANOVA) techniques. Furthermore, first and second-degree mathematical models were established by using regression analysis to estimate the values of kerf width and heat affected zone. The optimum laser cutting parameters for kerf width and heat affected zone were determined as and Polyvinyl Chloride (PVC) material type, 80 W power, and 15 mm/s cutting speed. The ANOVA results showed that the most efficient parameter on kerf width was power with 53.99% while the most efficient parameter on heat affected zone was material type with 40.96%. In addition, the coefficient of determination (R2) values for the regression equations developed for the outputs are significantly high. The R2 values of the first- and second-degree regression equations for KW are 97.26% and 99.71%, respectively, whereas 93.43% and 98.18% for HAZ.
Funder
Osmaniye Korkut Ata University Scientific Research Projects Coordination Unit
Publisher
Journal of Materials and Mechatronics: A
Reference40 articles.
1. Akkuş H., Yaka H. Optimization of Turning Process by Using Taguchi Method. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 (5), 1444-1448, 2018.
2. Akovali G. Plastic Materials: Polyvinyl Chloride (PVC). In Toxicity of Building Materials. Woodhead Publishing, Sawston, UK, pp. 23-53, 2012.
3. Basar G., Kirli Akin H., Kahraman F., Fedai Y. Modeling and Optimization of Face Milling Process Parameters for AISI 4140 Steel. Tehnički Glasnik 12 (1), 5-10, 2018.
4. Bilge T., Motorcu A.R., Ivanov A. Kompakt Laminat Kompozit Malzemenin Tungsten Karbür Takımlarla Delinmesinde Delaminasyon Faktörünün Değerlendirilmesi. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 23 (4), 427-436, 2017.
5. Callister W.D. Materials Science and Engineering: An Introduction, 2nd Edition, Jr John Wiley & Sons, New York, 1991.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献