Evidence map›Paper›PMID 40538577›Full record

Article3D printing and additive manufacturing2025

Redesigning Aerospace Components Using a Coupled Topology Optimization and Lattice Generation Approach.

Ramon William-Sobers, Uchechukwu O Agwu, Soji Yamakawa, Kenji Shimada

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ramon William-SobersComputational, Engineering, and Robotics Lab (CERLAB), Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Uchechukwu O AgwuComputational, Engineering, and Robotics Lab (CERLAB), Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8793-6260
Soji YamakawaComputational, Engineering, and Robotics Lab (CERLAB), Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Kenji ShimadaComputational, Engineering, and Robotics Lab (CERLAB), Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aerospace industry consistently prioritizes researching optimization methods for reducing component weight, meeting structural and thermal requirements, and enhancing product quality and efficiency. This work explores a design method that combines topology optimization (TO) and lattice generation to redesign three components: a jet engine bracket, an airplane bearing bracket, and an optical instrument mounting structure to satisfy their various structural and thermal loading requirements. Redesign and optimization methods for aircraft components such as jet engines and airplane bearing brackets have led to promising results, however, these components only have structural loading requirements. Spacecraft components such as mounting structures for optical instruments are needed for any space observation mission. Due to launch loads and the harsh space environment, they experience multiphysics loading requirements, including extreme stiffness for optical pointing precision, thermal resistance, and structural stability. The combination of loads and constraints poses challenges for the sole utilization of a single method or tool for optimizing mounting structures. Although TO and lattice generation methods are commonly used to create lightweight and optimized designs, each method has its limitations. Highly topology-optimized components may fail at unexpected loads, and many lattice generation methods are limited in controlling their geometric parameters. Combining these two methods would aid in balancing their respective shortcomings, leading to an effectively optimized component. In this study, TO software is coupled with a unique bubble-mesh-based lattice generation method that allows for variation in the following three parameters: cell size/lattice density, strut intersection rounding, and strut diameter. This coupled design process led to final designs that met the essential loading requirements of each component with the following weight reductions: mounting structure: 81.8%, jet engine bracket: 62.4%, and airplane bearing bracket: 52.5%.

Indexed as

aircraft and spacecraft applicationsdesign for additive manufacturingfinite element analysislattice generationtopology optimization

Identifiers

PMID40538577
PMCPMC12174845

What OpenQuestion holds

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Registered trials

None linked

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.