An infrared thermography-based method for the evaluation of the thermal response of tooling for composites manufacturing

被引:10
|
作者
Zobeiry, Navid [1 ]
Park, John [1 ]
Poursartip, Anoush [1 ]
机构
[1] Univ British Columbia, Dept Mat Engn, Composites Res Network, 309-6350 Stores Rd, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Infrared imaging; advanced composites; autoclave processing; out-of-autoclave processing; tooling; AUTOCLAVE; OPTIMIZATION;
D O I
10.1177/0021998318798444
中图分类号
TB33 [复合材料];
学科分类号
摘要
The manufacture of large complex aircraft structures made of advanced composites is done by heating the parts on complex, thermally massive tools using convective heating inside autoclaves. In recent years, numerical simulation of the process has shown great value, but lack of knowledge of the convective heat transfer boundary conditions remains a major obstacle to widespread adoption. An infrared thermography method is presented, suitable for evaluating the thermal response of these processing conditions. The method is based on increasing the emissivity of a tool surface with a painted vacuum bag before thermal imaging. Accurate readings with an average temperature difference of 1.1celcius compared to thermocouple data were achieved. The benefit of the thermography method is the highly detailed surface temperature map. Three tools with very similar geometries but made of Invar, aluminum and carbon fibre composite, respectively, were tested, and results interpreted using analytical solutions for the different tooling feature and convective boundary condition combinations. Analytical simulations, which were validated by comparison to numerical models, explain well the effect of autoclave airflow, tooling material and sub-structure variation on the temperature profiles measured by this infrared thermography method.
引用
收藏
页码:1277 / 1290
页数:14
相关论文
共 50 条
  • [41] Evaluation of infrared thermography as a non-invasive method of measuring the autonomic nervous response in sheep
    Sutherland, Mhairi A.
    Worth, Gemma M.
    Dowling, Suzanne K.
    Lowe, Gemma L.
    Cave, Vanessa M.
    Stewart, Mairi
    PLOS ONE, 2020, 15 (05):
  • [42] Alternative data evaluation methodology for infrared thermography analogous to the Shock Response Spectrum analysis method
    Yagdjian, Harutyun
    Gurka, Martin
    NDT & E INTERNATIONAL, 2024, 146
  • [43] Evaluation Condition of Transformer Based on Infrared Thermography Results
    Utami, N. Y.
    Tamsir, Y.
    Pharmatrisanti, A.
    Gumilang, H.
    Cahyono, B.
    Siregar, R.
    ICPADM 2009: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON PROPERTIES AND APPLICATIONS OF DIELECTRIC MATERIALS, VOLS 1-3, 2009, : 1055 - 1058
  • [44] Infrared thermography as a method for energy absorption evaluation of metal foams
    Krstulovic-Opara, Lovre
    Vesenjak, Matej
    Duarte, Isabel
    Ren, Zoran
    Domazet, Zeljko
    MATERIALS TODAY-PROCEEDINGS, 2016, 3 (04) : 1025 - 1030
  • [45] AN AUTOMATED METHOD FOR THE EVALUATION OF BREAST CANCER USING INFRARED THERMOGRAPHY
    Morales-Cervantes, Antony
    Samuel Kolosovas-Machuca, Eleazar
    Guevara, Edgar
    Maruris Reducindo, Mireya
    Bello Hernandez, Alix Berenice
    Ramos Garcia, Manuel
    Javier Gonzalez, Francisco
    EXCLI JOURNAL, 2018, 17 : 989 - 998
  • [46] Evaluation of thermal pattern distributions in racehorse saddles using infrared thermography
    Soroko, Maria
    Zaborski, Daniel
    Dudek, Krzysztof
    Yarnell, Kelly
    Gorniak, Wanda
    Vardasca, Ricardo
    PLOS ONE, 2019, 14 (08):
  • [47] Impact of the thermal afterglow effect on infrared thermography data evaluation methods
    Yagdjian, Harutyun
    Gurka, Martin
    INFRARED PHYSICS & TECHNOLOGY, 2024, 139
  • [48] Evaluating thermal properties of sugarcane bagasse-based composites by using active infrared thermography and terahertz imaging
    Chulkov, A. O.
    Sfarra, S.
    Zhang, H.
    Osman, A.
    Szielasko, K.
    Stumm, C.
    Sarasini, F.
    Fiorelli, J.
    Maldague, X. P., V
    Vavilo, V. P.
    INFRARED PHYSICS & TECHNOLOGY, 2019, 97 : 432 - 439
  • [49] Performance Evaluation of Thermography-Based Computer-Aided Diagnostic Systems for Detecting Breast Cancer: An Empirical Study
    Gupta, Trasha
    Agrawal, R. K.
    Sangal, Rishu
    Rao, S. avinash
    ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE, 2024, 5 (04):
  • [50] ESTIMATION OF LIQUID VOLUME FRACTION AND DROPLET NUMBER DENSITY IN AUTOMOTIVE PAINT SPRAY USING INFRARED THERMOGRAPHY-BASED VISUALIZATION TECHNIQUE
    Akafuah, Nelson K.
    Salazar, Abraham J.
    Saito, Kozo
    ATOMIZATION AND SPRAYS, 2009, 19 (09) : 847 - 861