Abstract
Temperature gradients across tooling surfaces and within parts during the compression molding process represent a major contributor to warpage patterns. The main objective of the current study was to analyze the limitations of thermography as a method to be used for the measurement of part surface temperature. Comparisons performed against simulation and thermocouple data revealed that while thermography is a relatively accurate method, reflectivity and environmental radiation could cause errors of up to 8%. Nonetheless, since thermography data remains precise with respect to the relative temperature distribution, it was used for the assessment of the effect of compression molding process parameters on part ejection temperatures. In this regard, it was found that mold temperature has an overwhelming influence on final part temperature, whereas hold time has a less significant, but still measurable influence. Other parameters such as pressure, charge temperature, and charge orientation exhibited no practical significance. It was also found that parts exhibited strong temperature nonuniformities and gradients of nearly 25 °C within patterns that were largely consistent among parts. Given that this study also suggested that simulation yields reasonable temperature field predictions in compression molding, these results are expected to guide future warpage reduction efforts with possible effects on a wider adoption of composite components in automotive industry.
Similar content being viewed by others
Availability of data and material
Not applicable.
Code availability
Not applicable.
References
Rännar L-E (2008) On optimization of injection molding cooling. Ph.D. Thesis, Engineering Design and Materials, Norwegian University of Science and Technology.
Saifullah A, Masood SH (2011) An investigation on warpage analysis in plastic injection moulding. In: Advanced Materials Research. Trans Tech Publications Ltd., 264-265 pp 433-438
Krause W, Henning F, Tröster S, Geiger O, Eyerer P (2003) LFT-D—a process technology for large scale production of fiber reinforced thermoplastic components. J Thermoplast Compos Mater 16(4):289–302
Depolo WS, Baird D (2006) Flow-induced warpage of injection-molded TLCP fiber-reinforced polypropylene composites. Polym Compos 27(3):239–248
Frados J (1976) Plastics engineering handbook (4th ed), Van Nostrand Reinhold, New York.
Bula K, Różański L, Marciniak-Podsadna L, Wróbel D (2016) The use of IR thermography to show the mold and part temperature evolution in injection molding. Arch Mech Technol Mater 36(1):40–43
Schwalme G (2014) Inline infrared thermography applied for quality gates and for mould temperature control in the injection moulding process. In Proceedings of the 58th Ilmenau Scientific Colloquium, Technische Universität Ilmenau, Germany, 08–12 September.
Whiteside B, Babenko M, Tuinea-Bobe C, Brown E, Coates P (2016) Ultrasonic injection moulding: A study of thermal behaviour and nanofeature replication. In: Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, Nottingham, UK, 30 May–3 June 2016.
Lin Y-W, Li H-M, Chen S-C, Shen C-Y (2005) 3D numerical simulation of transient temperature field for lens mold embedded with heaters. Int Commun Heat Mass Transfer 32(9):1221–1230
Miller K, Ramani K (1998) Analysis of an inductively heated compression molding process. Adv Polymer Technol: J Polymer Proc Inst 17(3):251–257
Ti401 PRO, Ti480 PRO, TiX501 and TiX580 Infrared Cameras. (2019) Technical Data Sheet, Fluke Corporation, Everett, Washington, United States. March, 2019. https://dam-assets.fluke.com/s3fs-public/6012099a-en-ti401-tix501-ds-w.pdf?lL9b8ezj.RP56TUS0Zu2DVP_bVjGiTze. Accessed May 10 2020
Taimarov M, Garifullin F, Rusev K (1986) Directional emissivity of structural materials. J Eng Phys 49(2):939–942
Litwa M (2010) Influence of angle of view on temperature measurements using thermovision camera. IEEE Sensors J 10(10):1552–1554
Muniz PR, Cani SP, Magalhaes RS (2013) Influence of field of view of thermal imagers and angle of view on temperature measurements by infrared thermovision. IEEE Sensors J 14(3):729–733
Bergman TL, Incropera FP, DeWitt DP, Lavine AS, 7th Ed. (2011) Fundamentals of heat and mass transfer. John Wiley & Sons, New York.
Nunak T, Rakrueangdet K, Nunak N, Suesut T (2015) Thermal image resolution on angular emissivity measurements using infrared thermography. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, March 18 - 20, Hong Kong, China. pp 323-327.
Moldex3D R17 Help. (2019) Technical Manual, CoreTech System Co., Ltd. Zhubei, Taiwan. October 29, 2019. http://support.moldex3d.com/r17/en/index.html. Accessed September 17, 2021.
Bower KM (2000) Analysis of Variance (ANOVA) using MINITAB. Sci Comput Instrum 17:64–65
Fisher RA (1925) Statistical methods for research workers. Oliver & Boyd, Edinburgh, UK.
Knoerzer K, Buckow R, Versteeg C (2010) Adiabatic compression heating coefficients for high-pressure processing–a study of some insulating polymer materials. J Food Eng 98(1):110–119
Casulli K, Dhakal S, Sandeep K, Balasubramaniam V (2017) Compression heating of selected polymers during high-pressure processing. J Food Process Eng 40(2):e12417
Zuidema H, Peters G, Meijer H (2001) Influence of cooling rate on pVT-data of semicrystalline polymers. J Appl Polym Sci 82(5):1170–1186
Wang J, Hopmann C, Röbig M, Hohlweck T, Kahve C, Alms J (2020) Continuous two-domain equations of state for the description of the pressure-specific volume-temperature behavior of polymers. Polymers 12(2):409
Martin E, Tutunea-Fatan OR, Gergely R, Okonski D (2021) Repeatability and accuracy of laser scanning-based reverse engineering for warped composite components. Computer-Aided Design Appl 18:1018–1034. https://doi.org/10.14733/cadaps.2021.1018-1034
Martin E, Tutunea-Fatan R, Gergely R, Okonski D (2021) Quantitative characterization of warpage for composite components. Accepted for publication in Computer-Aided Design and Applications.
Parlevliet PP, Bersee HE, Beukers A (2006) Residual stresses in thermoplastic composites—A study of the literature—part I: formation of residual stresses. Compos A: Appl Sci Manuf 37(11):1847–1857
Acknowledgements
The work presented in this study is the result of the collaboration between Western University (London, Ontario, Canada) and General Motors of Canada. The authors would like to acknowledge the collective efforts of the entire team of Fraunhofer Project Centre for Composites Research for its assistance with the experimental trials as well as Dr. Andrew Hrymak — principal investigator for the grants supporting this work — for his insightful comments and leadership throughout the entire project.
Funding
Financial support was provided by Ontario Centers of Excellence (OCE), Natural Sciences, Engineering Research Council (NSERC) of Canada, General Motors of Canada, and Western University.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Knezevic, D., Tutunea-Fatan, O.R., Gergely, R. et al. Thermographic analysis of a long fiber–reinforced thermoplastic compression molding process. Int J Adv Manuf Technol 119, 6119–6133 (2022). https://doi.org/10.1007/s00170-021-08115-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-021-08115-x