Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
The growth in build volumes of additive manufacturing (AM) printers has enabled the manufacture of larger and more complex products, such as drones, known as unconstrained structures. This necessitates advanced optimisation techniques to achieve optimal designs. Inertia relief (IR) is a solution for analysing these structures by leveraging their inertial properties while considering concentrated non-structural masses. Unfortunately, designers often overlook the benefits of IR due to a lack of understanding, a preference for static techniques involving boundary conditions (BCs), or the absence of a methodology for IR. Existing literature lacks sufficient comparison and documentation of the mechanical performance losses resulting from the application of BCs instead of IR. Therefore, this study provides a detailed comparison of BC and IR designs, highlighting the advantages in terms of compliance, stress fields, and eigenfrequency performance. Additionally, based on the findings, it proposes a comprehensive design and optimization methodology tailored for IR + TO, demonstrating its advantages through a case study. Applied to the redesign of a drone structure, results reveal that IR-optimized designs achieve a mass saving of 13%, with up to 53% lower compliance and 12%–32% lower stress values compared to BC-optimized designs. Those significant differences highlight the crucial role of IR in achieving optimal designs for unconstrained systems. Besides, these findings underscore the enhanced mechanical performance and potential for material savings in IR + TO, bridging the gap between theoretical understanding and practical application. This research provides valuable insights and practical guidelines for engineers and designers aiming to optimize complex structures for AM.
The growth in build volumes of additive manufacturing (AM) printers has enabled the manufacture of larger and more complex products, such as drones, known as unconstrained structures. This necessitates advanced optimisation techniques to achieve optimal designs. Inertia relief (IR) is a solution for analysing these structures by leveraging their inertial properties while considering concentrated non-structural masses. Unfortunately, designers often overlook the benefits of IR due to a lack of understanding, a preference for static techniques involving boundary conditions (BCs), or the absence of a methodology for IR. Existing literature lacks sufficient comparison and documentation of the mechanical performance losses resulting from the application of BCs instead of IR. Therefore, this study provides a detailed comparison of BC and IR designs, highlighting the advantages in terms of compliance, stress fields, and eigenfrequency performance. Additionally, based on the findings, it proposes a comprehensive design and optimization methodology tailored for IR + TO, demonstrating its advantages through a case study. Applied to the redesign of a drone structure, results reveal that IR-optimized designs achieve a mass saving of 13%, with up to 53% lower compliance and 12%–32% lower stress values compared to BC-optimized designs. Those significant differences highlight the crucial role of IR in achieving optimal designs for unconstrained systems. Besides, these findings underscore the enhanced mechanical performance and potential for material savings in IR + TO, bridging the gap between theoretical understanding and practical application. This research provides valuable insights and practical guidelines for engineers and designers aiming to optimize complex structures for AM.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.