3D printing in aerospace and defense: A review of technological breakthroughs and applications
Bibliographic record
Abstract
The integration of 3D printing technology in the aerospace and defense sectors has heralded a paradigm shift in manufacturing processes, design capabilities, and operational efficiency. This review explores the transformative impact of 3D printing on these industries, focusing on breakthroughs and applications that have reshaped traditional methodologies. Technological advancements in additive manufacturing have facilitated the production of complex geometries and intricate components that were once deemed impractical or impossible. Aerospace engineers and defense manufacturers are now leveraging 3D printing to create lightweight, high-strength structures, optimizing the balance between performance and fuel efficiency. This has led to enhanced aircraft design and functionality, as well as the development of unmanned aerial vehicles with unprecedented capabilities. Moreover, the ability to rapidly prototype and iterate designs has significantly reduced the time-to-market for new aerospace and defense systems. The review delves into case studies showcasing how 3D printing has streamlined the development process, enabling quicker adaptation to evolving threats and technological advancements. In the defense sector, the customization potential of 3D printing has revolutionized the production of weapons and equipment. Tailoring components to specific mission requirements enhances the effectiveness of military operations while reducing costs associated with mass production. The review also highlights the role of 3D printing in the development of advanced sensors, communication devices, and protective gear for defense personnel. However, challenges such as material limitations, standardization, and certification processes persist. The review provides insights into ongoing research and development efforts addressing these challenges, aiming to further unlock the full potential of 3D printing in aerospace and defense. This review offers a comprehensive overview of the current state of 3D printing in aerospace and defense, emphasizing its transformative impact on manufacturing, design, and operational capabilities. As the technology continues to evolve, its integration is poised to shape the future landscape of these critical industries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".