Study on the detection and suppression methods of carbon laying defects in auto fiber placement (AFP) process
School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China
Abstract

This paper proposes an optimal control strategy for process parameters aimed at addressing layup defects, achieving defect recognition and localization, and maintaining temperature stability on the actual layup surface. Infrared thermography is employed to identify defects during the carbon fiber layup process, and by integrating path control, the identification and localization of defects during the layup are effectively achieved. The minimum edge detection rate on both sides of a single layer reaches 94.3%, and the interlayer gap measurement is below 10%. Considering that temperature instability on the layup surface can lead to defects, a dynamic temperature control model has been established, and the infrared lamp’s temperature rise coefficient is determined, reducing defects caused by temperature fluctuations during the layup process. The results indicate that infrared thermography technology is feasible for the detection and reduction of defects in CFRP composites.

Keywords

Infrared thermography; laying defects; constant temperature control; automated fiber placement; damage localization

Preview
References
  • [1]Yang D, Dong S, Hong C, Zhang X. Preparation, modification, and coating for carbon-bonded carbon fiber composites: a review. Ceram. Int. 2022, 48(11):14935–58.
  • [2]Nsengiyumva W, Zhong S, Lin J, Zhang Q, Zhong J. Advances, limitations and prospects of nondestructive testing and evaluation of thick composites and sandwich structures: A state-of-the-art review. Compos. Struct. 2021, 256:112951.
  • [3]Stawiarski A. The nondestructive evaluation of the GFRP composite plate with an elliptical hole under fatigue loading conditions, Mech. Syst. Signal Process. 2018, 112:31–4
  • [4]Rocha H, Semprimoschnig C, Nunes JP. Sensors for process and structural health monitoring of aerospace composites: A review. Eng. Struct. 2021, 237:112231.
  • [5]Zhang J, Yao D, Wang R, Xiao X. Vibro-acoustic modelling of high-speed train composite floor and contribution analysis of its constituent materials. Compos. Struct. 2021, 256:113049.
  • [6]Huang L, Zeng L, Lin J, Luo Z. An improved time reversal method for diagnostics of composite plates using lamb waves. Compos. Struct. 2018, 190 :10–19.
  • [7]Ren Y, Qiu L, Yuan S, Fang F. Gaussian mixture model and delay-and-sum based 4D imaging of damage in aircraft composite structures under time-varying conditions. Mech. Syst. Signal Process. 2020, 135:106390.
  • [8]Gholizadeh S. A review of non-destructive testing methods of composite materials. Procedia Struct. Integrity 2016, 1:50–57.
  • [9]Duchene P, Chaki S, Ayadi A, Krawczak P. A review of non-destructive techniques used for mechanical damage assessment in polymer composites. J. Mater. Sci. 2018, 53(11):7915–7938.
  • [10]Memmolo V, Monaco E, Boffa ND, Maio L, Ricci F. Guided wave propagation and scattering for structural health monitoring of stiffened composites. Compos. Struct. 2018, 184:568–580.
  • [11]Cui R, Wiggers de Souza C, Katko BJ, Lanza di Scalea F, Kim H. Non-destructive damage localization in built-up composite aerospace structures by ultrasonic guided-wave multiple-output scanning. Compos. Struct. 2022, 292:115670.
  • [12]Wang B, Zhong S, Lee TL, Fancey KS, Mi J. Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review. Adv. Mech. Eng. 2020, 12(4):1–28.
  • [13]Broberg P. Surface crack detection in welds using thermography. NDT&E Int. 2013, 57:69–73.
  • [14]Keo SA, Brachelet F, Breaban F, Defer D. Defect detection in CFRP by infrared thermography with CO2 Laser excitation compared to conventional lock-in infrared thermography. Compos. Part B Eng. 2015, 69:1–5.
  • [15]Schlichting J, Maierhofer C, Kreutzbruck M. Crack sizing by laser excited ther-mography. NDT&E Int. 2012, 45:133–40.
  • [16]Roemer J, Uhl T, Pieczonka Ł. Laser spot thermography for crack detection in aluminum structures. In 7th International Symposium on NDT in Aerospace—We.5. A.5, Bremen, Germany, November 16–18, 2015.
  • [17]Pech-May NW, Oleaga A, Mendioroz A, Salazar A. Fast characterization of the width of vertical cracks using pulsed laser spot infrared thermography. J. Nondestr. Eval. 2016, 35:22.
  • [18]Fedala Y, Streza M, Sepulveda F, Roger JP, Tessier G, et al. Infrared Lock-in Thermography Crack Localization on Metallic Surfaces for Industrial Diagnosis. J. Nondestr. Eval. 2014, 33(3):335–341.
  • [19]Lukaszewicz DHJA. Optimisation of high-speed automated layup of thermoset carbon-fibre preimpregnates. Bristol: University of Bristol, 2011.
  • [20]Hulcher AB, Banks III WI, Pipes RB, Tiwari SN, Cano RJ, et al. Automated fiber placement of PEEK/IM7 composites with film interleaf layers. NASA Report. 2001, 46(1):1998–2012.
  • [21]Aized T, Shirinzadeh B. Robotic fiber placement process analysis and optimization using response surface method. Int. J. Adv. Manuf. Technol. 2011, 55(1):393–404.
  • [22]Mehrabian M, Boukhili R. 3D-DIC strain field measurements in bolted and hybrid bolted-bonded joints of woven carbon-epoxy composites. Compos. Part B Eng. 2021, 218:108875.
  • [23]Doshvarpassand S, Wu C, Wang X. An overview of corrosion defect characterization using active infrared thermography. Infrared Phys. Technol. 2019, 96:366–389.
  • [24]He Y, Deng B, Wang H, Cheng L, Zhou K, et al. Infrared machine vision and infrared thermography with deep learning: A review. Infrared Phys. Technol. 2021, 116:103754.
  • [25]Rippa M, Pagliarulo V, Lanzillo A, Grilli M, Fatigati G, et al. Active thermography for non-invasive inspection of an artwork on poplar panel: Novel approach using principal component thermography and absolute thermal contrast. J. Nondestr. Eval. 2021, 40:21.
  • [26]Nelson ES, Reddy DR. Green aviation reduction of environmental impact through aircraft technology and alternative fuels. Florida: CRC Press, 2020.
  • [27]A Gardziella, LA. Pilato, A Knop. Phenolic Resins: Chemistry, Applications, Standardization, Safety and Ecology. Berlin: Springer, 2000.
  • [28]Smith RP, Qureshi Z, Scaife RJ, El-Dessouky HM. Limitations of processing carbon fibre reinforced plastic/polymer material using automated fibre placement technology. J. Reinf. Plast. Compos. 2016, 35(21):1527–1542.
  • [29]Budelmann D, Schmidt C, Meiners D. Prepreg tack: A review of mechanisms, measurement, and manufacturing implication. Polym. Compos. 2020, 41:3440–3458.
  • [30]Li Y, Zhu F, Xiao J. The affection of additions component on viscosity of up resin. Hi-Tech Fiber & Appl. 2002, 27(3):28–