Experimental Investigation on Laser Transmission Welding of Polycarbonate and Acrylic

Experimental Investigation on Laser Transmission Welding of Polycarbonate and Acrylic

Dhiraj Kumar, Sudipta Paitandi, Arunanshu Shekhar Kuar, Dipankar Bose
ISBN13: 9781799836247|ISBN10: 179983624X|ISBN13 Softcover: 9781799836254|EISBN13: 9781799836261
DOI: 10.4018/978-1-7998-3624-7.ch010
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MLA

Kumar, Dhiraj, et al. "Experimental Investigation on Laser Transmission Welding of Polycarbonate and Acrylic." Machine Learning Applications in Non-Conventional Machining Processes, edited by Goutam Kumar Bose and Pritam Pain, IGI Global, 2021, pp. 160-180. https://doi.org/10.4018/978-1-7998-3624-7.ch010

APA

Kumar, D., Paitandi, S., Kuar, A. S., & Bose, D. (2021). Experimental Investigation on Laser Transmission Welding of Polycarbonate and Acrylic. In G. Bose & P. Pain (Eds.), Machine Learning Applications in Non-Conventional Machining Processes (pp. 160-180). IGI Global. https://doi.org/10.4018/978-1-7998-3624-7.ch010

Chicago

Kumar, Dhiraj, et al. "Experimental Investigation on Laser Transmission Welding of Polycarbonate and Acrylic." In Machine Learning Applications in Non-Conventional Machining Processes, edited by Goutam Kumar Bose and Pritam Pain, 160-180. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3624-7.ch010

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Abstract

This chapter presents the effect of various process parameters, namely laser power, pulse frequency, and welding speed, on the weld shear strength and weld width using a diode laser system. Here, laser transmission welding of transparent polycarbonate and black carbon filled acrylic each of 2.8 mm thickness have been performed to create lap joint by using low power laser. Response surface methodology is applied to develop the mathematical model between the laser welding process parameters and the responses of weld joint. The developed mathematical model is tested for its adequacy using analysis of variance and other adequacy measures. It has been observed that laser power and welding speed are the dominant factor followed by frequency. A confirmation test has also been conducted to validate the experimental results at optimum parameter setting. Results show that weld strength of 34.3173 N/mm and weld width of 2.61547 mm have been achieved at optimum parameter setting using desirability function-based optimization technique.

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