Towards spatially varying gloss reproduction for 3D printing

Piovarči, Michal; Foshey, Michael; Babaei, Vahid; Rusinkiewicz, Szymon; Matusik, Wojciech; Didyk, Piotr

doi:10.1145/3414685.3417850

Cited by 14 publications

(5 citation statements)

References 44 publications

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“…In order to guarantee a repeatable and reproducible printing process, a fine control of the volume and shape of the ink drop is required through the tuning of the printing parameters. As confirmed in [36], [37], the shape and size of the formed droplets depend on the piezoelectric force produced by the piezo actuator through the tappet and the pneumatic force generated by the pressure inside the syringe, and thus on the energy transferred to the droplet during the printing process.…”

Section: Printing Parameter Settingmentioning

confidence: 77%

Optimization of Piezo-Driven Jet Valve Dispensing Process for the Geometrical Control of Printed Sensors Based on Silver and MXene Inks

Borghetti,

Nicolosi,

Sardini

et al. 2024

IEEE Trans. Instrum. Meas.

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Printed sensors offer unique benefits -highly customizable designs, low-cost prototyping, and a wide range of materials and properties -which can be exploited. Piezo-driven Jet Valve Dispensing is a printing technique suitable for the fabrication of sensors and electronics directly on the surfaces (both 2D and 3D) of smart objects and devices but needs additional analysis and study. In this work, we studied the influence of printing parameters on the performance of the Nordson PICO Jetting system mounted on the Neotech PJ15X machine by depositing a silver ink, typically used for the fabrication of sensors and interconnections, and a Ti3C2Tx ink, a very promising 2D material in the sensing and electronics fields for its extraordinary physical, electrical, chemical, and mechanical properties. A tuning approach was proposed to tune the printing parameters correctly. The profiles of the crosssections of printed lines were evaluated, including the process variability, when the values of the printing parameters were changed. In the case of Ti3C2Tx, the improper setting of the printing setup caused undesired spots and irregular lines. The optimal settings for the printing setup were found for each ink, reaching a variability in the profile of 1.5%.

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Section: Printing Parameter Settingmentioning

confidence: 77%

Optimization of Piezo-Driven Jet Valve Dispensing Process for the Geometrical Control of Printed Sensors Based on Silver and MXene Inks

Borghetti,

Nicolosi,

Sardini

et al. 2024

IEEE Trans. Instrum. Meas.

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“…Translucency fabrication was further formalized by Urban et al [2019], who provide a physically and perceptually meaningful definition of the alpha channel to create a device-independent standard for 3D printing translucency. Work was also done in controlling the surface reflectance of 3Dprintouts, either by directly printing microgeometry [Luongo et al 2020;Rouiller et al 2013], or based on a controlled application of varnishes [Piovarči et al 2020]. Recently, Zheng et al [2020] used neural networks and end-to-end optimization to create static 4D light fields that can then be fabricated with inkjet 3D printers.…”

Section: Full-color Fabricationmentioning

confidence: 99%

“…Extended Ink-set. Introducing a new (specialized) printing material is useful for increased color accuracy and spectral reproduction [Shi et al 2018], controlling reflectance [Piovarči et al 2020], and co-optimizing mechanical and optical parameters [Morovič et al 2019]. In our pipeline, the optical properties of new materials are simply added to the available set with material mixing (Eq.…”

Section: Applicationsmentioning

confidence: 99%

A gradient-based framework for 3D print appearance optimization

et al. 2021

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In full-color inkjet 3D printing, a key problem is determining the material configuration for the millions of voxels that a printed object is made of. The goal is a configuration that minimises the difference between desired target appearance and the result of the printing process. So far, the techniques used to find such a configuration have relied on domain-specific methods or heuristic optimization, which allowed only a limited level of control over the resulting appearance. We propose to use differentiable volume rendering in a continuous material-mixture space, which leads to a framework that can be used as a general tool for optimising inkjet 3D printouts. We demonstrate the technical feasibility of this approach, and use it to attain fine control over the fabricated appearance, and high levels of faithfulness to the specified target.

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“…Although digital fabrication technologies, such as multi-material 3D printers, have a limited number of channels, there is a vast array of materials that can fill those channels. Consequently, the question of which subset of materials is optimal for a given task (also known as material selection) is becoming a recurrent question [Ansari et al 2020;Piovarči et al 2020;Nindel et al 2021].…”

Section: Materials Selectionmentioning

confidence: 99%