In-situ optimization of thermoset composite additive manufacturing via deep learning and computer vision

Wright, William; Darville, Joshua; Celik, Nurcin; Koerner, Hilmar; Çelik, Emrah

doi:10.1016/j.addma.2022.102985

Cited by 11 publications

(2 citation statements)

References 53 publications

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“…It is not recommended to print with a layer height greater than the nozzle diameter, as misaligned roads can create defects that severely weaken the composite's mechanical performance. [ 36 ] Additional details on this experiment can be found in Section 4 (Supporting Information).…”

Section: Resultsmentioning

confidence: 99%

In Situ Electrical Network Activation and Deactivation in Short Carbon Fiber Composites via 3D Printing

Wright

Çelik

2023

Adv Funct Materials

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Prior studies on carbon‐filler based, conductive polymer composites have mainly investigated how conductive filler morphology and concentration can tailor a material's electrical conductivity and overlooks the effects of filler alignment due to the difficulty to control and quickly quantify the filler alignment. Here, direct ink write 3D printing's unique ability is utilized to control carbon fiber alignment with a single process parameter, velocity ratio, to instantaneously activate or deactivate the electrical network in composites. Maximum electrical conductivity is achieved by randomly aligning carbon fibers that enhances the chance of direct fiber‐to‐fiber contact and, thus, activating the electrical network. However, aligning the fibers by increasing the velocity ratio disrupts the electrical network by minimizing fiber‐to‐fiber contact that resulted in a drastic decrease in electrical conductivity by as much as five orders of magnitude in both short and long carbon fiber composites. With this study, this study demonstrates that electrically conductive or insulative composites can be fabricated sequentially with a single ink. This novel ability to instantaneously control the electrical conductivity of carbon fiber reinforced composites allow to directly embed conductive pathways into designs to 3D print multifunctional composites that are capable of localized heating and self‐sensing.

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Section: Resultsmentioning

confidence: 99%

In Situ Electrical Network Activation and Deactivation in Short Carbon Fiber Composites via 3D Printing

Wright

Çelik

2023

Adv Funct Materials

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“…The composite film of energy harvesters can be formed by printing a raster pattern with appropriate road distance. An optimum road distance ensures slight overlap between the printed roads, effectively eliminating gaps within layers and achieving a uniform structure through surface tension [28]. To determine the best road distance, four options were considered: 1.4 mm, 1.2 mm, 1 mm, and 0.8 mm.…”

Section: D Printingmentioning

confidence: 99%

3D-printed wearable BaTiO3/PDMS piezoelectric nanogenerator for self-powered body movement sensing

Shi,

Sun,

Tian

et al. 2023

Flex. Print. Electron.

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Flexible piezoelectric nanogenerators used in body movement real-time monitoring are of great interest for their wide application potential such as in the field of smart healthcare. In this work, a self-powered BaTiO3/Polydimethylsiloxane piezoelectric nanogenerator for body movement sensing was successfully fabricated by extrusion 3D printing. Matrix system composed of different ratios of Polydimethylsiloxane was selected based on the rheological property of materials. Experimental investigations were conducted to examine the impact of printing pressure and speed on the linewidth. Subsequently, the extrusion parameters for nanogenerators were determined based on the printed linewidth. The composite showed good ferroelectric property. After polarization, the nanogenerators exhibited an improvement in output performance of up to 55.2%. Additionally, the device demonstrated a good linear relationship between voltage and tapped force test by an electromechanical vibrator. Successful detection of body or muscle movement signals was achieved when the nanogenerator was mounted on the human finger, throat, or foot using a wearable sock, highlighting its potential for applications in self-powered wearable devices for smart healthcare.

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Enhancing additive manufacturing with computer vision: a comprehensive review

Yu,

Li,

et al. 2024

Int J Adv Manuf Technol

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In-situ optimization of thermoset composite additive manufacturing via deep learning and computer vision

Cited by 11 publications

References 53 publications

In Situ Electrical Network Activation and Deactivation in Short Carbon Fiber Composites via 3D Printing

In Situ Electrical Network Activation and Deactivation in Short Carbon Fiber Composites via 3D Printing

3D-printed wearable BaTiO3/PDMS piezoelectric nanogenerator for self-powered body movement sensing

Enhancing additive manufacturing with computer vision: a comprehensive review

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