Abstract
Carbon fiber-reinforced polymer (CFRP) composites have been used extensively in the aerospace and automotive industries due to their high strength-to-weight and stiffness-to-weight ratios. Compared with conventional manufacturing processes for CFRP, additive manufacturing (AM) can facilitate the fabrication of CFRP components with complex structures. While AM offers significant advantages over conventional processes, establishing the structure–property relationships in additively manufactured CFRP remains a challenge because the mechanical properties of additively manufactured CFRP depend on many design parameters. To address this issue, we introduce a data-driven modeling approach that predicts the flexural strength of continuous carbon fiber-reinforced polymers (CCFRP) fabricated by fused deposition modeling (FDM). The predictive model of flexural strength is trained using machine learning and validated on experimental data. The relationship between three structural design factors, including the number of fiber layers, the number of fiber rings as well as polymer infill patterns, and the flexural strength of the CCFRP specimens is quantified.
Issue Section:
Research Papers
References
1.
Holmes
, M.
, 2014
, “Global Carbon Fibre Market Remains on Upward Trend
,” Reinf. Plast.
, 58
(6
), pp. 38
–45
. 10.1016/S0034-3617(14)70251-62.
Wang
, X.
, Jiang
, M.
, Zhou
, Z.
, Gou
, J.
, and Hui
, D.
, 2017
, “3D Printing of Polymer Matrix Composites: A Review and Prospective
,” Composites Part B
, 110
, pp. 442
–458
. 10.1016/j.compositesb.2016.11.0343.
Bakis
, C. E.
, Bank
, L. C.
, Brown
, V.
, Cosenza
, E.
, Davalos
, J.
, Lesko
, J.
, Machida
, A.
, Rizkalla
, S.
, and Triantafillou
, T.
, 2002
, “Fiber-Reinforced Polymer Composites for Construction—State-of-the-Art Review
,” J. Compos. Constr.
, 6
(2
), pp. 73
–87
. 10.1061/(ASCE)1090-0268(2002)6:2(73)4.
Kretsis
, G.
, 1987
, “A Review of the Tensile, Compressive, Flexural and Shear Properties of Hybrid Fibre-Reinforced Plastics
,” Composites
, 18
(1
), pp. 13
–23
. 10.1016/0010-4361(87)90003-65.
Ramakrishna
, S.
, Mayer
, J.
, Wintermantel
, E.
, and Leong
, K. W.
, 2001
, “Biomedical Applications of Polymer-Composite Materials: A Review
,” Compos. Sci. Technol.
, 61
(9
), pp. 1189
–1224
. 10.1016/S0266-3538(00)00241-46.
Machado
, J.
, Marques
, E.
, Campilho
, R.
, and da Silva
, L. F.
, 2017
, “Mode II Fracture Toughness of CFRP as a Function of Temperature and Strain Rate
,” Composites Part B
, 114
, pp. 311
–318
. 10.1016/j.compositesb.2017.02.0137.
Li
, T.
, and Wang
, L.
, 2017
, “Bending Behavior of Sandwich Composite Structures With Tunable 3D-Printed Core Materials
,” Compos. Struct.
, 175
, pp. 46
–57
. 10.1016/j.compstruct.2017.05.0018.
Keller
, T.
, and Schollmayer
, M.
, 2004
, “Plate Bending Behavior of a Pultruded GFRP Bridge Deck System
,” Compos. Struct.
, 64
(3-4
), pp. 285
–295
. 10.1016/j.compstruct.2003.08.0119.
Wang
, Z.
, Lauter
, C.
, Sanitther
, B.
, Camberg
, A.
, and Troester
, T.
, 2016
, “Manufacturing and Investigation of Steel-CFRP Hybrid Pillar Structures for Automotive Applications by Intrinsic Resin Transfer Moulding Technology
,” Int. J. Automot. Compos.
, 2
(3-4
), pp. 229
–243
. 10.1504/IJAUTOC.2016.08432210.
Ikpe
, A.
, Owunna
, I.
, and Satope
, P.
, 2017
, “Design Optimization of a B-Pillar for Crashworthiness of Vehicle Side Impact
,” J. Mech. Eng. Sci.
, 11
(2
), pp. 2693
–2710
. 10.15282/jmes.11.2.2017.11.024511.
Parandoush
, P.
, and Lin
, D.
, 2017
, “A Review on Additive Manufacturing of Polymer-Fiber Composites
,” Compos. Struct.
, 182
, pp. 36
–53
. 10.1016/j.compstruct.2017.08.08812.
Tian
, X.
, Liu
, T.
, Yang
, C.
, Wang
, Q.
, and Li
, D.
, 2016
, “Interface and Performance of 3D Printed Continuous Carbon Fiber Reinforced PLA Composites
,” Composites Part A
, 88
, pp. 198
–205
. 10.1016/j.compositesa.2016.05.03213.
Li
, N.
, Li
, Y.
, and Liu
, S.
, 2016
, “Rapid Prototyping of Continuous Carbon Fiber Reinforced Polylactic Acid Composites by 3D Printing
,” J. Mater. Process. Technol.
, 238
, pp. 218
–225
. 10.1016/j.jmatprotec.2016.07.02514.
Ning
, F.
, Cong
, W.
, Wei
, J.
, Wang
, S.
, and Zhang
, M.
, 2015
, “Additive Manufacturing of CFRP Composites Using Fused Deposition Modeling: Effects of Carbon Fiber Content and Length
,” ASME 2015 International Manufacturing Science and Engineering Conference
, Charlotte, NC
, June 8–12
, American Society of Mechanical Engineers, p. V001T02A067.15.
Dickson
, A. N.
, Barry
, J. N.
, McDonnell
, K. A.
, and Dowling
, D. P.
, 2017
, “Fabrication of Continuous Carbon, Glass and Kevlar Fibre Reinforced Polymer Composites Using Additive Manufacturing
,” Addit. Manuf.
, 16
, pp. 146
–152
.16.
Ning
, F.
, Cong
, W.
, Qiu
, J.
, Wei
, J.
, and Wang
, S.
, 2015
, “Additive Manufacturing of Carbon Fiber Reinforced Thermoplastic Composites Using Fused Deposition Modeling
,” Composites Part B
, 80
, pp. 369
–378
. 10.1016/j.compositesb.2015.06.01317.
Love
, L. J.
, Kunc
, V.
, Rios
, O.
, Duty
, C. E.
, Elliott
, A. M.
, Post
, B. K.
, Smith
, R. J.
, and Blue
, C. A.
, 2014
, “The Importance of Carbon Fiber to Polymer Additive Manufacturing
,” J. Mater. Res.
, 29
(17
), pp. 1893
–1898
. 10.1557/jmr.2014.21218.
Hwang
, S.
, Reyes
, E. I.
, Moon
, K.-S.
, Rumpf
, R. C.
, and Kim
, N. S.
, 2015
, “Thermo-mechanical Characterization of Metal/Polymer Composite Filaments and Printing Parameter Study for Fused Deposition Modeling in the 3D Printing Process
,” J. Electron. Mater.
, 44
(3
), pp. 771
–777
. 10.1007/s11664-014-3425-619.
Wang
, Y. C.
, Wong
, P.
, and Kodur
, V.
, 2007
, “An Experimental Study of the Mechanical Properties of Fibre Reinforced Polymer (FRP) and Steel Reinforcing Bars at Elevated Temperatures
,” Compos. Struct.
, 80
(1
), pp. 131
–140
. 10.1016/j.compstruct.2006.04.06920.
Perez
, A. R. T.
, Roberson
, D. A.
, and Wicker
, R. B.
, 2014
, “Fracture Surface Analysis of 3D-Printed Tensile Specimens of Novel ABS-Based Materials
,” J. Failure Anal. Prev.
, 14
(3
), pp. 343
–353
. 10.1007/s11668-014-9803-921.
Yu
, T.
, Zhang
, Z.
, Song
, S.
, Bai
, Y.
, and Wu
, D.
, 2019
, “Tensile and Flexural Behaviors of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites
,” Compos. Struct.
, 225
, p. 111147
. 10.1016/j.compstruct.2019.11114722.
Zhou
, Z.-H.
, 2012
, Ensemble Methods: Foundations and Algorithms
, CRC Press
, Boca Raton, FL
.23.
Sun
, T.
, and Zhou
, Z.-H.
, 2018
, “Structural Diversity for Decision Tree Ensemble Learning
,” Frontiers Computer Sci.
, 12
(3
), pp. 560
–570
. 10.1007/s11704-018-7151-824.
Friedman
, J.
, Hastie
, T.
, and Tibshirani
, R.
, 2001
, The Elements of Statistical Learning
, Springer Series in Statistics
, New York
.25.
James
, G.
, Witten
, D.
, Hastie
, T.
, and Tibshirani
, R.
, 2013
, An Introduction to Statistical Learning
, Springer
, New York
.26.
Friedman
, J. H.
, 1991
, “Multivariate Adaptive Regression Splines
,” Ann. Stat.
, 19
(1
), pp. 1
–67
. 10.1214/aos/117634796327.
Hastie
, T. J.
, and Tibshirani
, R.J.
, 1990
, Generalized Additive Models
, Vol. 43
, CRC Press
, Boca Raton, FL
.28.
Wood
, S. N.
, 2017
, Generalized Additive Models: An Introduction With R
, CRC Press
, Boca Raton, FL
.29.
Weinberger
, K. Q.
, and Saul
, L. K.
, 2009
, “Distance Metric Learning for Large Margin Nearest Neighbor Classification
,” J. Mach. Learn. Res.
, 10
(Feb
), pp. 207
–244
.30.
Drucker
, H.
, Burges
, C. J.
, Kaufman
, L.
, Smola
, A. J.
, and Vapnik
, V.
, 1996
, “Support Vector Regression Machines
,” Neural Information Processing Systems
, Denver, CO
, Dec. 3–5
.31.
Karatzoglou
, A.
, Meyer
, D.
, and Hornik
, K.
, 2006
, “Support Vector Machines in R
,” J. Stat. Softw.
, 15
(9
), pp. 1
–28
.32.
Geurts
, P.
, Ernst
, D.
, and Wehenkel
, L.
, 2006
, “Extremely Randomized Trees
,” Mach. Learn.
, 63
(1
), pp. 3
–42
. 10.1007/s10994-006-6226-133.
Chen
, T.
, and Guestrin
, C.
, 2016
, “Xgboost: A Scalable Tree Boosting System
,” 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining
, San Francisco, CA
, Aug. 13–17
, ACM, pp. 785
–794
.34.
Khakalo
, S.
, Balobanov
, V.
, and Niiranen
, J.
, 2018
, “Modelling Size-Dependent Bending, Buckling and Vibrations of 2D Triangular Lattices by Strain Gradient Elasticity Models: Applications to Sandwich Beams and Auxetics
,” Int. J. Eng. Sci.
, 127
, pp. 33
–52
. 10.1016/j.ijengsci.2018.02.00435.
ASTM International
, 2017
, D6272-17 Standard Test Method for Flexural Properties of Unreinforced and Reinforced Plastics and Electrical Insulating Materials by Four-Point Bending
, ASTM International
, West Conshohocken, PA
.36.
Wuest
, T.
, Weimer
, D.
, Irgens
, C.
, and Thoben
, K.-D.
, 2016
, “Machine Learning in Manufacturing: Advantages, Challenges, and Applications
,” Prod. Manuf. Res.
, 4
(1
), pp. 23
–45
. 10.1080/21693277.2016.119251737.
Liu
, X.
, Liu
, Z.
, Wang
, G.
, Cai
, Z.
, and Zhang
, H.
, 2017
, “Ensemble Transfer Learning Algorithm
,” IEEE Access
, 6
, pp. 2389
–2396
. 10.1109/ACCESS.2017.2782884Copyright © 2020 by ASME
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