Effects of using subcooled liquid and slush hydrogen fuels on space vehicle design and performance

1967 ◽  
Author(s):  
C. KELLER
Keyword(s):  
Space Vehicle ◽  
Vehicle Design ◽  
Subcooled Liquid ◽  
And Performance ◽  
Hydrogen Fuels

Human Factors in space vehicle design

2013 ◽  
Vol 92 (1) ◽  
pp. 110-118 ◽  
Author(s):  
Kritina L. Holden ◽  
Jennifer L. Boyer ◽  
Neta Ezer ◽  
Keith Holubec ◽  
Anikó Sándor ◽  
...  
Keyword(s):  
Human Factors ◽  
Space Vehicle ◽  
Vehicle Design

A reusable space vehicle design study exploring sharp leading edges

2001 ◽  
Author(s):  
James Reuther ◽  
David Kinney ◽  
Stephen Smith ◽  
Dean Kontinos ◽  
Peter Gage ◽  
...  
Keyword(s):  
Space Vehicle ◽  
Vehicle Design ◽  
Design Study ◽  
Leading Edges

Conceptual comparison of the ecogeography-based algorithm, equilibrium algorithm, marine predators algorithm and slime mold algorithm for optimal product design

2021 ◽  
Vol 63 (4) ◽  
pp. 336-340
Author(s):  
Betül Sultan Yıldız ◽  
Vivek Patel ◽  
Nantiwat Pholdee ◽  
Sadiq M. Sait ◽  
Sujin Bureerat ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Performance Enhancement ◽  
Slime Mold ◽  
Vehicle Design ◽  
Shape Design ◽  
Marine Predators ◽  
Component Design ◽  
Vehicle Component ◽  
Optimal Product Design ◽  
And Performance

Abstract Vehicle component design is crucial for developing a vehicle prototype, as optimum parts can lead to cost reduction and performance enhancement of the vehicle system. The use of metaheuristics for vehicle component optimization has been commonplace due to several advantages: robustness and simplicity. This paper aims to demonstrate the shape design of a vehicle bracket by using a newly invented metaheuristic. The new optimizer is termed the ecogeography-based optimization algorithm (EBO). This is arguably the first vehicle design application of the new optimizer. The optimization problem is posed while EBO is implemented to solve the problem. It is found that the design results obtained from EBO are better when compared to other optimizers such as the equilibrium optimization algorithm, marine predators algorithm, slime mold algorithm.

Unmanned aerial vehicle derivative design optimization based on light sport aircraft

2016 ◽  
Vol 231 (3) ◽  
pp. 485-496 ◽  
Author(s):  
Hyeong-Uk Park ◽  
Joon Chung ◽  
Jae-Woo Lee ◽  
Daniel Neufeld
Keyword(s):  
Design Optimization ◽  
Unmanned Aerial Vehicle ◽  
Design Process ◽  
Optimization Technique ◽  
Optimization Method ◽  
Vehicle Design ◽  
Baseline Design ◽  
Aerial Vehicle ◽  
Design Requirements ◽  
And Performance

Manufacturers often develop new products by modifying and extending existing products in order to achieve new market demands while minimizing development time and manufacturing costs. In this research, an efficient derivative design process was developed to efficiently adapt existing aircraft designs according to new requirements. The proposed design process was evaluated using a case study that derives an unmanned aerial vehicle design from a baseline manned 2-seatlight sport aircraft. Multiple unmanned aerial vehicle operational scenarios were analysed to define the requirements of the derivative aircraft. These included patrol, environmental monitoring, and communications relay missions. Each mission has different requirements and therefore each resulting derivative unmanned aerial vehicle design has different geometry, devices, and performance. The derivative design process involved redefining the design requirements and identifying the minimum design variable set that needed to be considered in order to efficiently adapt the baseline design. Uncertainty was considered as well to enhance the reliability of the optimized result when it considered different conditions for each mission. An optimization method based on the possibility based design optimization was proposed to handle uncertainty that arises in the design requirements for the multi-role nature of unmanned aerial vehicles. In this paper, the possibility based design optimization method was implemented with multidisciplinary design optimization technique to derive the derivative unmanned designs based on originally manned aircraft. This approach prevented constraint violation via uncertainty variations in the operating altitude and payload weight for each. The unmanned aerial vehicle derivative designs satisfying the requirements of three different missions were derived from the proposed design process.

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