In-situ Thermal Monitoring of Printed Components During Rapid Prototyping by Fused Deposition Modeling

Pooladvand, Koohyar; Salerni, Antony D.; Furlong, Cosme

doi:10.1007/978-3-030-30098-2_20

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…Figure 9 shows that the emissivity coefficient of ABS is 0.91, which is close to the range reported in previous studies (Pooladvand et al , 2020; Morgan et al , 2017).…”

Section: Materials and Equipmentsupporting

confidence: 89%

“…The corresponding experimental setup and results are shown in Figures 8 and 9, respectively. Figure 9 shows that the emissivity coefficient of ABS is 0.91, which is close to the range reported in previous studies (Pooladvand et al, 2020;Morgan et al, 2017).…”

Section: Emissivity Coefficientsupporting

confidence: 88%

“…A flat plate with dimensions of 75 × 45 × 1 mm was printed on the build platform to determine the emissivity coefficient of the material. Emissivity is a temperature-dependent material property that decreases with temperature as reported by Pooladvand et al (2020). The emissivity of white ABS decreased from 0.92 to 0.86 as the temperature increased from room temperature to 200°C.…”

Section: Materials and Equipmentmentioning

confidence: 69%

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In-situ adaptive thermal simulation method for predicting and avoiding hotspots in material extrusion processes

Driezen¹,

Herrmann²

2022

RPJ

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Purpose This study aims to design a novel strategy to avoid thermal defects in three-dimensional (3D) printing processes. A combination of subroutines and utility routines allows for in situ variations of the key process parameters (KPP) in the thermal simulation and produces by post-processing the output an updated machine code for enhanced quality of the printed part in a single iteration. Design/methodology/approach The input data for the thermal simulation were obtained by characterising an acrylonitrile butadiene styrene filament and calibrating an Ultimaker S5 printer. Abaqus subroutines were used to accurately simulate the continuous deposition of molten material. A utility routine extracted the nodal temperatures during simulation and detected regions that were prone to overheating. We developed a method, enabling the introduction of variable process parameters in the thermal simulation and validated it by printing several test geometries. Findings The results of the thermal simulation indicate that decreasing the print speed enhances the amount of heat dissipated to the environment. Therefore, it is an efficient way to avoid overheating of the printed geometry. The validation geometries showed improvements when adapting the print speed. Originality/value This approach is the first to demonstrate the potential of variable process parameters using implemented routines in the thermal process simulation. Here, the focus is on predicting and avoiding thermal hotspots. However, more potential can be obtained by enabling the prediction and adaptation of KPP to ensure mechanical performance. This would be an alternative way to tackle the cost- and time-inefficient post-processing of 3D-printed parts.

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“…Figure 9 shows that the emissivity coefficient of ABS is 0.91, which is close to the range reported in previous studies (Pooladvand et al , 2020; Morgan et al , 2017).…”

Section: Materials and Equipmentsupporting

confidence: 89%

Section: Emissivity Coefficientsupporting

confidence: 88%

Section: Materials and Equipmentmentioning

confidence: 69%

See 1 more Smart Citation

In-situ adaptive thermal simulation method for predicting and avoiding hotspots in material extrusion processes

Driezen¹,

Herrmann²

2022

RPJ

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“…Another source of uncertainty is the emissivity of the deposited material changing with temperature. A study on acrylonitrile butadiene styrene (ABS) found that this effect led to a misread of 36 • C at a 240 • C readout temperature [21]. However, this is above the melting temperature of ABS, and a finished layer of a print will have cooled down when being measured.…”

Section: Methods and Resultsmentioning

confidence: 99%

Thermal Layer Design in Fused Filament Fabrication

et al. 2022

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The current limitations of design for additive manufacturing (DfAM) are the state of knowledge on materials and the effects of production parameters. As more engineering-grade polymers become available for fused filament fabrication (FFF), the designs and processes must be adapted to fully utilize the structural properties of such materials. By studying and comparing the production parameters of a material test specimen and a component, the effects of layer temperature on the strength, surface roughness, and dimensional accuracy of PA6-CF were found. As the cross-section increases in component manufacturing, maintaining the layer temperature becomes a major challenge. From the findings, the concept of thermal layer design (TLD) was introduced as a way of increasing strength via temperature in selected regions after presenting the effect of layer temperature. TLD proved to have a major effect on layer temperature and heat distribution. Depending on the investigated layer temperature, from 147 °C to 193 °C the UTS of PA6-CF increased from 42 MPa to 73 MPa. Implementing TLD in DfAM represents a big leap for designing high-performance polymer components.

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In-process thermal imaging to detect internal features and defects in fused filament fabrication

AbouelNour,

Gupta

2023

Int J Adv Manuf Technol

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In-situ Thermal Monitoring of Printed Components During Rapid Prototyping by Fused Deposition Modeling

Cited by 9 publications

References 16 publications

In-situ adaptive thermal simulation method for predicting and avoiding hotspots in material extrusion processes

In-situ adaptive thermal simulation method for predicting and avoiding hotspots in material extrusion processes

Thermal Layer Design in Fused Filament Fabrication

In-process thermal imaging to detect internal features and defects in fused filament fabrication

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