Optimal design of Vertical-Taking-Off-and-Landing UAV wing using multilevel approach

Yue, Hao; Bassir, David; Medromi, Hicham; Hua, Dengxin; Abouzaid, Khaoula

doi:10.1051/smdo/2020020

Cited by 4 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, design of experiment method was used to create the pool of the initial solutions that are evaluated using CFD method (using Fluent software) to get more accurate points of the estimation. After this first loop, a surface response is then built to mimic the mechanical response of the wing under the external loading (1,11). It is very useful in such case to reduce the cost and the time consuming.…”

Section: Multicriteria Optimization Approchmentioning

confidence: 99%

Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber

Bassir,

Yue,

Abouzaid

et al. 2023

AIP Conference Proceedings

Self Cite

View full text Add to dashboard Cite

The purpose of this work is the optimal conception of a wing built using fused deposition modeling (FDM), which is one of the main additive manufacturing (AM) process. PLA reinforced with carbon fiber was selected for the filament as we have defined their mechanical properties in previous work. The optimization approach use hybrid strategy based on surface response method with kriging model and a heuristic method to avoid to be trapped in local minimization/maximization. The objective functions for this optimization are the weight, the drag (functions to minimize) and the lift (function to maximize) with respect to the failure criteria of the composite material used to build the fuselage. The challenge for this kind of optimization is the multilevel aspect, as it requires firstly to get the optimal parameters of the model before getting the optimal distribution of thicknesses.

show abstract

Section: Multicriteria Optimization Approchmentioning

confidence: 99%

Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber

Bassir,

Yue,

Abouzaid

et al. 2023

AIP Conference Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…Aeronautics; Calabrese et al gave insights into its practical benefits by emphasizing its applications in designing machining fixtures for aeronautical thin-walled components, hinting at broader aerospace applications [11]. In the realm of UAVs, Yue et al explored the optimal design for Vertical-Taking-Offand-Landing UAV wings using a multilevel approach, further emphasizing the impact of topology optimization [12]. Architecture; Osanov and Guest expanded on the architectural horizon of these techniques by exploring its potential in the development of state-of-the-art materials [13].…”

Section: Introductionmentioning

confidence: 99%

Topology optimization methods for additive manufacturing: a review

El Khadiri,

Zemzami,

Nguyen

et al. 2023

Int. J. Simul. Multidisci. Des. Optim.

View full text Add to dashboard Cite

Topology optimization is widely recognized for its ability to determine the best distribution of material in a structure to optimize its stiffness. This process often leads to creative configurations that produce complicated geometries challenging to construct using traditional techniques. Additive manufacturing has recently received a lot of interest from academics as well as industry. When compared to traditional methods, additive manufacturing or 3D printing offers considerable benefits (direct manufacture, time savings, fabrication of complex geometries, etc.). Recently, additive manufacturing techniques are increasingly being employed in industry to create complex components that cannot be produced using standard methods. The primary benefit of these techniques is the amount of creative flexibility they give designers. Additive manufacturing technology with higher resolution output capabilities has created a wealth of options for bridging the topology optimization and product application gap. This paper is a preliminary attempt to determine the key aspects of research on the integration of topology optimization and additive manufacturing, to outline topology optimization methods for these aspects with a review of various scientific and industry applications during the last years.

show abstract

“…It involved optimization techniques based on Box-Behnken design of experiments and response surface methodologies. Yue [15] presented a multi-objective optimization, based on response surface methodology. The two-step optimization approach focused on developing an optimal conceptual design of a delta and canard wing configuration to achieve maximum lift and reduced drag.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of crashworthiness parameters for design optimization of an automotive crash-box

Prabhaharan

Balaji²,

Annamalai

2022

Int. J. Simul. Multidisci. Des. Optim.

View full text Add to dashboard Cite

Automotive manufacturers rely on rigorous testing and simulations to construct their vehicles durable and safe in all aspects. One such vital factor is crash safety, otherwise known as crashworthiness. Crash tests are conventional forms of non-destructive methods to validate the vehicle for its crashworthiness and compatibility based on different operating conditions. The frontal impact test is the most primary form of crash test, which focuses on improving passenger's safety and comfort. According to NHTSA, a vehicle is rated based on these safety criteria, for which automobile manufacturers conduct a plethora of crash-related studies. Numerical simulation aids them in cutting down testing time and overall cost endured by providing a reliable amount of insights into the process. The current study is aimed at improving the crashworthiness of a crash box in a lightweight passenger car, such that it becomes more energy absorbent in terms of frontal impacts. All necessary parameters such as energy absorption, mean crush force, specific energy absorption, crush force efficiencies are evaluated based on analytical and finite element methods. There was a decent agreement between the analytical and simulation results, with an accuracy of 97%. The crashworthiness of the crash box was improved with the help of DOE-based response surface methodology (RSM). The RSM approach helped in improving the design of the crash box with enhanced EA & CFE by 30% and 8.8% respectively. The investigation of design variables on the energy absorption capacity of the thin-walled structure was also done. For the axial impact simulations, finite element solver Virtual Performance Solution − Pam Crash from the ESI group is used.

show abstract

Optimal design of Vertical-Taking-Off-and-Landing UAV wing using multilevel approach

Cited by 4 publications

References 24 publications

Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber

Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber

Topology optimization methods for additive manufacturing: a review

Numerical simulation of crashworthiness parameters for design optimization of an automotive crash-box

Contact Info

Product

Resources

About