ArticleScientific reports2022
Sequential process optimization for a digital light processing system to minimize trial and error.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- Biphasic Co-Delivery of Curcumin and 5-FU using 3D-Printed Dissolving Microneedles for Skin Cancer Therapy.Advanced healthcare materials · 2026Article
- Development of Reversible Color-Changing Three-Dimensional Structures Using a Thermochromic Resin in Digital Light Processing-Based Vat Photopolymerization.ACS applied materials & interfaces · 2025Article
- Review
- Step Test for Rapid Screening of Material and Process Parameters for Resin Development in DLP 3D Printing.Angewandte Chemie (International ed. in English) · 2025Article
- A Comparative Study between Thiol-Ene and Acrylate Photocrosslinkable Hyaluronic Acid Hydrogel Inks for Digital Light Processing.Macromolecular bioscience · 2025Article
- Design considerations for digital light processing bioprinters.Applied physics reviews · 2024Review
- Vat photopolymerization 3D printed microfluidic devices for organ-on-a-chip applications.Lab on a chip · 2023Review
- Poly(ethylene glycol)-Norbornene as a Photoclick Bioink for Digital Light Processing 3D Bioprinting.ACS applied materials & interfaces · 2023Article
- The rise of mechanical metamaterials: Auxetic constructs for skin wound healing.Journal of tissue engineeringReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In additive manufacturing, logical and efficient workflow optimization enables successful production and reduces cost and time. These attempts are essential for preventing fabrication problems from various causes. However, quantitative analysis and integrated management studies of fabrication issues using a digital light processing (DLP) system are insufficient. Therefore, an efficient optimization method is required to apply several materials and extend the application of the DLP system. This study proposes a sequential process optimization (SPO) to manage the initial adhesion, recoating, and exposure energy. The photopolymerization characteristics and viscosity of the photocurable resin were quantitatively analyzed through process conditions such as build plate speed, layer thickness, and exposure time. The ability of the proposed SPO was confirmed by fabricating an evaluation model using a biocompatible resin. Furthermore, the biocompatibility of the developed resin was verified through experiments. The existing DLP process requires several trials and errors in process optimization. Therefore, the fabrication results are different depending on the operator's know-how. The use of the proposed SPO enables a systematic approach for optimizing the process conditions of a DLP system. As a result, the DLP system is expected to be more utilized.
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Registered trials
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.