ReviewPolymers2020
Self-Healing Mechanisms for 3D-Printed Polymeric Structures: From Lab to Reality.
Review in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Three-Dimensional Printing and CAD/CAM Milling in Prosthodontics: A Scoping Review of Key Metrics Towards Future Perspectives.Journal of clinical medicine · 2025Review
- 4D printing polymeric biomaterials for adaptive tissue regeneration.Bioactive materials · 2025Review
- From Stents to Smart Implants Employing Biomimetic Materials: The Impact of 4D Printing on Modern Healthcare.Biomimetics (Basel, Switzerland) · 2025Review
- Review
- Three-Dimensional Printing of Multifunctional Composites: Fabrication, Applications, and Biodegradability Assessment.Materials (Basel, Switzerland) · 2023Review
- Article
- Article
- Article
- A Comparative Study on the Self-Healing Characterizations and Formulation Optimization of Polyurea Coating.Polymers · 2022Article
- Influence of Printing Parameters on Self-Cleaning Properties of 3D Printed Polymeric Fabrics.Polymers · 2022Article
- Strain Release Behaviour during Crack Growth of a Polymeric Beam under Elastic Loads for Self-Healing.Polymers · 2022Article
- Mini-Review of Self-Healing Mechanism and Formulation Optimization of Polyurea Coating.Polymers · 2022Review
- Article
- Article
- Smart and Biomimetic 3D and 4D Printed Composite Hydrogels: Opportunities for Different Biomedical Applications.Biomedicines · 2021Review
- Design of Kinematic Connectors for Microstructured Materials Produced by Additive Manufacturing.Polymers · 2021Article
- On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion.Polymers · 2020Article
- Effects of Carbonyl Iron Powder (CIP) Content on the Electromagnetic Wave Absorption and Mechanical Properties of CIP/ABS Composites.Polymers · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Existing self-healing mechanisms are still very far from full-scale implementation, and most published work has only demonstrated damage cure at the laboratory level. Their rheological nature makes the mechanisms for damage cure difficult to implement, as the component or structure is expected to continue performing its function. In most cases, a molecular bond level chemical reaction is required for complete healing with external stimulations such as heating, light and temperature change. Such requirements of external stimulations and reactions make the existing self-healing mechanism almost impossible to implement in 3D printed products, particularly in critical applications. In this paper, a conceptual description of the self-healing phenomenon in polymeric structures is provided. This is followed by how the concept of self-healing is motivated by the observation of nature. Next, the requirements of self-healing in modern polymeric structures and components are described. The existing self-healing mechanisms for 3D printed polymeric structures are also detailed, with a special emphasis on their working principles and advantages of the self-healing mechanism. A critical discussion on the challenges and limitations in the existing working principles is provided at the end. A novel self-healing idea is also proposed. Its ability to address current challenges is assessed in the conclusions.
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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.