Molina-Moya, M.Á.; García-Martínez, E.; Miguel, V.; Coello, J.; Martínez-Martínez, A.
Experimental Analysis and Application of a Multivariable Regression Technique to Define the Optimal Drilling Conditions for Carbon Fiber Reinforced Polymer (CFRP) Composites. Polymers 2023, 15, 3710.
https://doi.org/10.3390/polym15183710
AMA Style
Molina-Moya MÁ, García-Martínez E, Miguel V, Coello J, Martínez-Martínez A.
Experimental Analysis and Application of a Multivariable Regression Technique to Define the Optimal Drilling Conditions for Carbon Fiber Reinforced Polymer (CFRP) Composites. Polymers. 2023; 15(18):3710.
https://doi.org/10.3390/polym15183710
Chicago/Turabian Style
Molina-Moya, Miguel Ángel, Enrique García-Martínez, Valentín Miguel, Juana Coello, and Alberto Martínez-Martínez.
2023. "Experimental Analysis and Application of a Multivariable Regression Technique to Define the Optimal Drilling Conditions for Carbon Fiber Reinforced Polymer (CFRP) Composites" Polymers 15, no. 18: 3710.
https://doi.org/10.3390/polym15183710
APA Style
Molina-Moya, M. Á., García-Martínez, E., Miguel, V., Coello, J., & Martínez-Martínez, A.
(2023). Experimental Analysis and Application of a Multivariable Regression Technique to Define the Optimal Drilling Conditions for Carbon Fiber Reinforced Polymer (CFRP) Composites. Polymers, 15(18), 3710.
https://doi.org/10.3390/polym15183710
