Title: Smart Roller: Real-Time Measurement Of Pressure Distribution At Nip Point Of Automated Fiber Placement Process
Authors: Charles Picciotto, Xiulun Yin, John Madden, Adam Clare, Anoush Poursartip
DOI:
Abstract: Automated Fiber Placement (AFP) is a highly complex manufacturing process that enables ‘lights out’ production of advanced composite components, and requires understanding of materials, design, and process planning to ensure the highest part quality. An important aspect of AFP is the tack between prepreg layers, governed by compaction pressure, temperature, and deposition speed. Prepreg tack is the primary mechanism that resists defect formation in composite layups, making precise control of the process parameters important to part quality. To support this need, this paper presents a Smart AFP Compaction Roller which measures, in realtime, the pressure distribution directly under the compaction roller as material is deposited. The Smart Roller is highly customizable in dimensions, mechanical compliance, and sensor arrangement, allowing it to be adapted to different AFP machines and operating conditions. An array of sensors embedded in the compaction roller provide real-time measurements of the pressure distribution across the compaction roller, providing a data stream which helps deepen the understanding of process-material interactions. Case studies are presented to illustrate how this data can be applied to balance rollers when installed on AFP equipment, identify process instabilities, and quantify prepreg tack. The results of these case studies demonstrate the potential of the Smart Roller to provide AFP users with insight to improve process reliability and part quality.
References: [1] “Commercial Market Outlook.” Accessed: Jan. 12, 2026. [Online]. Available: https://www.boeing.com/content/theboeingcompany/us/en/commercial/market/commercialmarket-outlook [2] T. Rudberg, J. Nielson, M. Henscheid, and J. Cemenska, “Improving AFP Cell Performance,” SAE Int. J. Aerosp., vol. 07, no. 2, pp. 317–321, Sep. 2014, doi: 10.4271/2014-01-2272. [3] M. Zemzemoglu, M. Unel, and L. T. Tunc, “Enhancing automated fiber placement process monitoring and quality inspection: A hybrid thermal vision based framework,” Compos. Part B Eng., vol. 285, p. 111753, Oct. 2024, doi: 10.1016/j.compositesb.2024.111753. [4] R. W. Engelbart, M. R. Chapman, B. A. Johnson, K. A. Soucy, R. Hannebaum, and S. Schrader, “Systems and methods enabling automated return to and/or repair of defects with a material placement machine,” US7039485B2, May 02, 2006 Accessed: Jan. 12, 2026. [Online]. Available: https://patents.google.com/patent/US7039485B2/en [5] “Composites Manufacturing Technology - Electroimpact.” Accessed: Jan. 12, 2026. [Online]. Available: https://electroimpact.com/products/compositesmanufacturing/technology.aspx [6] A. Brasington, C. Sacco, J. Halbritter, R. Wehbe, and R. Harik, “Automated fiber placement: A review of history, current technologies, and future paths forward,” Compos. Part C Open Access, vol. 6, p. 100182, Oct. 2021, doi: 10.1016/j.jcomc.2021.100182. [7] J. Jiang, Y. He, and Y. Ke, “Pressure distribution for automated fiber placement and design optimization of compaction rollers,” J. Reinf. Plast. Compos., vol. 38, no. 18, pp. 860–870, Sep. 2019, doi: 10.1177/0731684419850896. [8] L. Miao et al., “An analytical model for pressure distribution in automated fiber placement on irregular surfaces and its application in aeronautical manufacturing,” J. Manuf. Process., vol. 106, pp. 102–116, Nov. 2023, doi: 10.1016/j.jmapro.2023.09.057. [9] M. Kheradpisheh and M. Hojjati, “A novel compaction roller with variable pressure distribution and contact time for automated fiber placement: Experimental and numerical analysis,” Compos. Part Appl. Sci. Manuf., vol. 190, p. 108684, Mar. 2025, doi: 10.1016/j.compositesa.2024.108684. [10] Y. Duan and X. Yan, “Effect of material and shape of compaction roller on the voids and compaction uniformity in fiber placement process,” Acta Aeronaut. Astronaut. Sin., vol. 35, pp. 1173–1180, 2014, doi: 10.7527/S1000-6893.2013.0363. [11] R. Pederson, N. Bakhshi, A. Clare, and A. Poursartip, “Investigation of Defect Formation in Automated FIber Placement Using a Tabletop AFP Simulator,” in Proceedings for the 40th ASC Technical Conference, Dayton, OH, 2025. 15 [12] X. Yin et al., “Smart Roller: Soft Sensor Array for Automated Fiber Placement,” Adv. Sens. Res., vol. 2, no. 9, p. 2200074, Sep. 2023, doi: 10.1002/adsr.202200074. [13] N. Bakhshi, “Investigation of Prepreg Tack Through Development of an AFP Simulator Using In-Situ Sensing and Physics-Based Simulation,” University of British Columbia, 2023. [Online]. Available: https://open.library.ubc.ca/media/stream/pdf/24/1.0438302/3 [14] A. Poursartip, J. Madden, X. Yin, Z. Chen, and N. Bakhshi, “Exploring Science-Based Automation Using a Small AFP Demonstrator,” in Proceedings of the Society for the Advancement of Material and Process Engineering (SAMPE) Conference & Exhibition, 2023, Seattle, WA: NA SAMPE, 2023. doi: 10.33599/nasampe/s.23.0189. [15] A. Poursartip, N. Bakhshi, O. Tong, Z. Chen, M. S. Sarwar, and Madden, John Dw, “Science-Based Automation of Composites Manufacturing,” The University of British Columbia, Report 1, 2021. [16] A. Poursartip, N. Bakhshi, O. Tong, Z. Chen, M. S. Sarwar, and Madden, John Dw, “Science-Based Automation of Composites Manufacturing,” The University of British Columbia, Report 2, 2022. [17] R. Harik, C. Saidy, S. J. Williams, and Z. Gurdal, “Automated fiber placement defect identity cards: cause, anticipation, existence, significance, and progression.,” in Proceedings of the Society for the Advancement of Material and Process Engineering (SAMPE) Conference & Exhibition, 2018, Long Beach, CA, 2018.
Conference: SAMPE 2026
Publication Date: 2026/04/27
SKU: 142
Pages: 16
Price: $32.00
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