Integrating Additive Manufacturing into Dental Production: Innovations, Applications and Challenges
Abstract
1. Introduction
2. Additive Manufacturing Technologies in Dentistry
2.1. Metal Additive Manufacturing Dentistry (SML/DMLS Applications)
- Feed piston—supplies unsintered metal powder.
- Recoater—spreads a uniform thin powder layer onto the build platform.
- Build piston—area where the part is formed layer by layer.
- Laser + scanning system—melts powder in predefined regions based on the sliced CAD data.
- Inert atmosphere (argon)—protects the melt pool from oxidation.
- Heating elements—ensure thermal stability and consistent layer formation.
2.2. Ceramic Additive Manufacturing for Dental Components
2.3. Hybrid and Composite Materials in Dental 3D Printing
2.4. Design and Manufacturing of Porous Dental Implants
2.5. Comparison of Additive Manufacturing Methods in Dental Applications
3. Descriptive Overview of Publication Trends
3.1. Web of Science
3.2. Scopus
4. Challenges and Future Directions in Additive Dental Manufacturing
- Water sorption: Modern 3D-printed dental resins typically show W_sp ≈ 24–26 µg/mm3, while modified formulations may reach ~28 µg/mm3; higher sorption increases the risk of internal stresses and microcracks during long-term exposure to oral fluids [108].
- Color stability: Color change assessed by ΔE indicates that ΔE ≈ 3.3 is generally considered the clinically acceptable threshold. Some resin formulations exceed this value after accelerated aging, depending on composition and post-curing [109].
- Mechanical changes during artificial aging: Thermocycling and water storage frequently reduce flexural strength by ~10–30%, with decreases up to ~27% documented in certain formulations [110].
- Microdefects such as microcracks, insufficient compaction, weak intergranular bonding, and lack-of-fusion defects can significantly affect strength. In ZrO2 studies, flexural strength varied from 789 MPa to 423 MPa depending on sintering orientation, showing 30–50% reductions under suboptimal processing [111].
- Digital thread and versioning: No unified machine-readable format exists for mandatory metadata such as print parameters, CAD versions, material batches, or machine settings.
- Process validation and real-time monitoring: No harmonized acceptance criteria exist for in situ monitoring methods across technologies and manufacturers [121].
- Metrics for microdefects and non-destructive evaluation: No uniform protocols exist for µCT/SEM-based quantification of porosity, cracks, or lack-of-fusion defects.
- Introduce a mandatory digital footprint for AM parts (metadata such as CAD version, slicer settings, material batch, machine parameters, timestamps) stored in a standardized JSON/XML format [120].
- Establish harmonized material qualification criteria for input powders and resins (particle size, contamination, moisture, mechanical behavior) with standardized test methods [122].
- Develop standardized protocols for process validation and in situ monitoring, including reference geometries and validated analytical software tools.
- Define uniform µCT protocols (resolution, thresholding) and reporting metrics for defect quantification [123].
- Clarify regulatory guidelines for documenting personalized and custom-made components within MDR requirements [124].
Sustainability and Material Innovations in Additive Manufacturing of Dental Implants
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AI | Artificial Intelligence |
| AM | Additive Manufacturing |
| BIC | Bone–Implant Contact |
| CAD | Computer-Aided Design |
| CAM | Computer-Aided Manufacturing |
| cHA | Calcium Hydroxyapatite |
| cHAP | Calcium Hydroxyapatite Powder |
| CNC | Computer Numerical Control |
| DLP | Digital Light Processing |
| DMLS | Direct Metal Laser Sintering |
| FDA | Food and Drug Administration |
| FDM | Fused Deposition Modeling |
| ISO | International Organization for Standardization |
| PBF | Powder Bed Fusion |
| PDLA | Poly(D-Lactic Acid) |
| PLA | Polylactic Acid |
| PLLA | Poly(L-Lactic Acid) |
| RBC | Resin-Based Composite |
| rGO | Reduce Graphene Oxide |
| SLA | Stereolithography |
| SLM | Selective Laser Melting |
| UV | Ultraviolet |
| XCT | X-ray Computed Tomography |
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| Study (Year) | Material Type/Technology | Pore Size (µm) | Porosity (%) | Model (In Vivo/In Vitro) | Main Results (BIC, BV/TV, Ingrowth) |
|---|---|---|---|---|---|
| Taniguchi et al., 2015 [94] | Ti6Al4V, SLM | 300, 600, 900 | ~65% | in vivo (rabbit) | 600 µm showed the best fixation after 2 weeks; greater vascularization with larger pores |
| Li et al., 2016 [93] | Porous Ti6Al4V, AM | 100–600 | 60–75% | in vivo | BV/TV and BIC highest at 300–500 µm; small pores promote BIC, larger pores improve tissue penetration |
| Deering et al., 2023 [96] | Ti6Al4V, functionally graded AM | 300–600 (gradient) | 50–70% | in vivo | Higher BV/TV at 300–400 µm inside the implant; larger pores promote vascularization |
| He et al., 2024 [97] | 3D-printed porous Ti | 100–600 | 55–80% | in vivo + review | Pores of 300–500 µm are considered optimal for bone growth and vascularization |
| Alkentar et al., 2023 [98] | Ti6Al4V lattices, AM | 400–600 optimal | 50–90% | Review | Pores of 400–600 µm provide a balance between mechanical strength and osseointegration |
| McGregor et al., 2021 [99] | Ti6Al4V, PBF | 300–700 | 50–70% | in vitro + modeling | Correlation between grid architecture and natural bone parameters |
| Carroll et al., 2022 [100] | Ti implant | 350–650 | 50–75% | in vivo | Improved osteoid formation in larger pores of 500–650 µm |
| Criterion | SLM/DMLS | EBM | SLA/DLP | Material Jetting | Binder Jetting | FDM/MEX |
|---|---|---|---|---|---|---|
| Material type | Metals (Ti-6Al-4V, Co-Cr) | Metals (Ti-6Al-4V) | Photopolymers, biocompatible resins | Multimaterial photopolymers | Ceramics, metals (often without infiltration) | Thermoplastics (PLA, PEEK) |
| Resolution | 30–80 µm | 50–150 µm | 20–50 µm | 16–32 µm | 50–200 µm | 150–400 µm |
| Surface roughness | High (Ra 8–25 µm) | Very high (Ra 20–50+ µm) | Low (Ra 2–5 µm) | Very low (1–3 µm) | Medium to high | High (Ra 10–40 µm) |
| Mechanical properties | Excellent-suitable for implants (high fatigue strength) | Excellent-comparable to wrought metal | Medium-dependent on resin | Low-unsuitable for functional parts | Medium (High after infiltration) | Highly variable |
| Accuracy/Dimensional stability | High, but dependent on thermal stress | Lower than SLM (electron beam scatter) | Very high | Very high | Limited by porosity | Low without post-processing |
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Yeromina, M.; Duplak, J.; Torok, J.; Duplakova, D.; Torokova, M. Integrating Additive Manufacturing into Dental Production: Innovations, Applications and Challenges. Inventions 2026, 11, 7. https://doi.org/10.3390/inventions11010007
Yeromina M, Duplak J, Torok J, Duplakova D, Torokova M. Integrating Additive Manufacturing into Dental Production: Innovations, Applications and Challenges. Inventions. 2026; 11(1):7. https://doi.org/10.3390/inventions11010007
Chicago/Turabian StyleYeromina, Maryna, Jan Duplak, Jozef Torok, Darina Duplakova, and Monika Torokova. 2026. "Integrating Additive Manufacturing into Dental Production: Innovations, Applications and Challenges" Inventions 11, no. 1: 7. https://doi.org/10.3390/inventions11010007
APA StyleYeromina, M., Duplak, J., Torok, J., Duplakova, D., & Torokova, M. (2026). Integrating Additive Manufacturing into Dental Production: Innovations, Applications and Challenges. Inventions, 11(1), 7. https://doi.org/10.3390/inventions11010007

