Additive Manufacturing of Porous Structures for Unmanned Aerial Vehicles Applications

Klippstein, Helge; Hassanin, Hany; Sanchez, Alejandro Diaz De Cerio; Zweiri, Yahya; Seneviratne, Lakmal

doi:10.1002/adem.201800290

Cited by 53 publications

(35 citation statements)

References 38 publications

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“…The samples, designed in accordance with the standard [7], had the following dimensions: diameter -13 mm and height -6.3 mm. The samples were made of two polymer resins: VeroWhite (1-9) and FullCure 720 (10)(11)(12)(13)(14)(15)(16)(17)(18). During the tests, the samples were subject to deformation equal to 10% of their height, i.e.…”

Section: Researchmentioning

confidence: 99%

“…This problem has been described in a number of publications related to both the mechanical properties of models and the accuracy of dimensions and shapes [3,4,11,17]. In the case of many additive technologies, such as SLS, PJM, and FDM, it is possible to build not only prototypes but also fully functional models, including the so-called overprints [1,2,5,[9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the rheological properties of photopolymers used in Polymer Jetting technology

2019

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The paper presents the results of tests related to relaxation of stresses in models of samples made using the technology of photo-curing of liquid polymer resins polyjet modeling (PJM). The models of the samples were made using two types of materials: VeroWhite and FullCure 720. The tests were performed on samples in compliance with the PN-EN ISO 3384 standard. The technological parameter whose impact was analyzed was the orientation of the models on the virtual building platform, which was defined with three variability levels (0°, 45°, and 90°). The tests demonstrated that the position of the models on the building platform has a significant impact on the relaxation of compressive stresses. Moreover, the most advantageous positions of the models on the building platform from the standpoint of relaxation of stresses were determined.

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Section: Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of the rheological properties of photopolymers used in Polymer Jetting technology

2019

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“…Additive manufacturing (AM) has been widely explored as a robust technology for the fabrication of complex geometrical structures reducing the manufacturing steps and constraints of conventional manufacturing technologies . Laser powder bed fusion (LPBF) is a metal AM technique, which builds up 3D components using a laser beam to selectively melt layers of metal powder according to a digital design.…”

Section: Introductionmentioning

confidence: 99%

Controlling the Properties of Additively Manufactured Cellular Structures Using Machine Learning Approaches

et al. 2020

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Cellular structures are lightweight‐engineered materials that have gained much attention with the development of additive manufacturing technologies. This article introduces a precise approach to predict the mechanical properties of additively manufactured lattice structures using deep‐learning approaches. Diamond‐shaped nodal lattice structures are designed by varying strut length, strut diameter, and strut orientation angle. The samples are manufactured using laser powder bed fusion (LPBF) of Ti−64 alloy and subjected to compression testing to measure the ultimate strength, elastic modulus, and specific strength. Machine learning approaches such as shallow neural network (SNN), deep neural network (DNN), and deep learning neural network (DLNN) are developed and compared to the statistical design of experiment (DoE) approach. The trained DLNN model show the highest performance when compared with DNN, DoE, and SNN with a mean percentage error of 5.26%, 14.60%, and 9.39% for the ultimate strength, elastic modulus, and specific strength, respectively. The DLNN model is used to create process maps, and is further validated. The results show that although deep learning is preferred for big data, the optimized DLNN model outperform the statistical DoE approach and can be a favorable tool for lattice structure prediction with limited data.

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“…The main advantage of UAVs is their ability to work at rugged places and dangerous environments [4,5]. When fire arises in a rugged region, it becomes very challenging for firefighters to combat the fire in a quickest possible manner.…”

Section: Introductionmentioning

confidence: 99%

The design of a rotary-wing unmanned aerial vehicles–payload drop mechanism for fire-fighting services using fire-extinguishing balls

2019

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This study aims to encourage the idea of utilizing unmanned aerial vehicles in the fire-fighting application. In this paper, we present a remote-controlled rotary-wing unmanned aerial vehicle made from metal alloys. This unmanned aerial vehicle, using a payload drop mechanism, can carry fire-extinguishing balls and release them to combat fires, especially in places not easily accessible by humans. The payload drop mechanism is a novel design that has an advantage of dropping two (maximum four) fire-extinguishing balls one at a time using one servo motor. Hence, the servo motor is controlled by one radio channel of the remote controller. Besides, comparing it to our (mechanism A) first designed mechanism, this payload drop mechanism shows smaller horizontal area for fitting most of the drones as well as less effect of vibrations during flight. The whole system is designed using Solidworks platform and manufactured with computer numerical control machining and three-dimensional printing. Thus, the potential use of unmanned aerial vehicles to carry out fire-fighting operations using the proposed payload drop mechanism is successfully examined.

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Additive Manufacturing of Porous Structures for Unmanned Aerial Vehicles Applications

Cited by 53 publications

References 38 publications

Evaluation of the rheological properties of photopolymers used in Polymer Jetting technology

Evaluation of the rheological properties of photopolymers used in Polymer Jetting technology

Controlling the Properties of Additively Manufactured Cellular Structures Using Machine Learning Approaches

The design of a rotary-wing unmanned aerial vehicles–payload drop mechanism for fire-fighting services using fire-extinguishing balls

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