Evidence map›Paper›PMID 38116216›Full record

Article3D printing and additive manufacturing2023

Light Distribution in 3D-Printed Thermoplastics.

Ina Cheibas, Valeria Piccioni, Ena Lloret-Fritschi, Matthias Leschok, Arno Schlüter, Benjamin Dilllenburger, Fabio Gramazio, Matthias Kohler

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ina CheibasDepartment of Architecture, ETH Zürich, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-1109-9101
Valeria PiccioniDepartment of Architecture, ETH Zürich, Zürich, Switzerland.ORCID https://orcid.org/0000-0003-0119-8189
Ena Lloret-FritschiAcademy of Architecture, Università della Svizzera Italiana, Lugano, Switzerland.
Matthias LeschokDepartment of Architecture, ETH Zürich, Zürich, Switzerland.
Arno SchlüterDepartment of Architecture, ETH Zürich, Zürich, Switzerland.
Benjamin DilllenburgerDepartment of Architecture, ETH Zürich, Zürich, Switzerland.
Fabio GramazioDepartment of Architecture, ETH Zürich, Zürich, Switzerland.
Matthias KohlerDepartment of Architecture, ETH Zürich, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Daylight distribution is an essential performance parameter for building facades that aim to maximize user comfort while maintaining energy efficiency. This study investigates the feasibility of using 3D-printed thermoplastic to improve daylight distribution and transmission. To identify how geometry influences light distribution and transmission, 12 samples with various patterns were robotically fabricated. In a physical simulation of spring, summer, and winter, a robotic arm was used to direct light onto the samples in both the vertical and horizontal print pattern directions. In addition, three samples of conventional facade materials, including a polycarbonate panel, a polycarbonate sheet, and a single sheet of glass, were compared with the 3D-printed samples. All samples were examined and compared using high dynamic range imaging to qualitatively characterize luminance. The data analysis demonstrated that 3D-printed geometry can successfully generate customizable diffusive light distribution based on the needs of the user. Furthermore, the results showed that the vertical pattern direction had higher light transmission values than the horizontal pattern direction.

Indexed as

3D printingdaylightfacadelight distributionlight transmissionpattern

Identifiers

PMID38116216
PMCPMC10726176

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.