In this study, ANalysis Of VAriance (ANOVA) and Response Surface Methodology were applied to characterize and optimize laser milling of Carbon Fiber Reinforced Polymer (CFRP) plates. The process was performed by means of a 30W Q-switched Yb:YAG fiber laser, working at the fundamental wavelength of 1064 nm. The machined material was a CFRP plate, 4 mm in thickness, obtained by autoclave cure. According to Design of Experiments (DoE) methodology and previous experiences, a Central Composite Design (CCD) was developed and applied. The investigated parameters were the scan speed, the pulse frequency, the number of repetitions of the geometric pattern and the hatch distance. The suitable milling conditions were obtained from the response surface model. The model allows to set the process parameters to obtain the desired depth with an error <3% and a MRR higher than 1.9 × 10−3g/s. POLYM. ENG. SCI., 57:595–605, 2017.

Genna, S., Tagliaferri, F., Papa, I., Leone, C., Palumbo, B. (2017). Multi-response optimization of CFRP laser milling process based on response surface methodology. POLYMER ENGINEERING AND SCIENCE, 57(6), 595-605 [10.1002/pen.24560].

Multi-response optimization of CFRP laser milling process based on response surface methodology

GENNA, SILVIO;
2017-01-01

Abstract

In this study, ANalysis Of VAriance (ANOVA) and Response Surface Methodology were applied to characterize and optimize laser milling of Carbon Fiber Reinforced Polymer (CFRP) plates. The process was performed by means of a 30W Q-switched Yb:YAG fiber laser, working at the fundamental wavelength of 1064 nm. The machined material was a CFRP plate, 4 mm in thickness, obtained by autoclave cure. According to Design of Experiments (DoE) methodology and previous experiences, a Central Composite Design (CCD) was developed and applied. The investigated parameters were the scan speed, the pulse frequency, the number of repetitions of the geometric pattern and the hatch distance. The suitable milling conditions were obtained from the response surface model. The model allows to set the process parameters to obtain the desired depth with an error <3% and a MRR higher than 1.9 × 10−3g/s. POLYM. ENG. SCI., 57:595–605, 2017.
2017
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-IND/16 - TECNOLOGIE E SISTEMI DI LAVORAZIONE
English
Con Impact Factor ISI
http://onlinelibrary.wiley.com/doi/10.1002/pen.24560/abstract
Genna, S., Tagliaferri, F., Papa, I., Leone, C., Palumbo, B. (2017). Multi-response optimization of CFRP laser milling process based on response surface methodology. POLYMER ENGINEERING AND SCIENCE, 57(6), 595-605 [10.1002/pen.24560].
Genna, S; Tagliaferri, F; Papa, I; Leone, C; Palumbo, B
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/188980
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