Investigation of Aerodynamic Capabilities of Flying Fish in Gliding Flight

2009 ◽  
pp. 27-33
Author(s):  
H. Park ◽  
H. Choi
Keyword(s):  
Flying Fish ◽  
Gliding Flight

scholarly journals Aerodynamic characteristics of flying fish in gliding flight

2010 ◽  
Vol 213 (19) ◽  
pp. 3269-3279 ◽  
Author(s):  
H. Park ◽  
H. Choi
Keyword(s):  
Aerodynamic Characteristics ◽  
Flying Fish ◽  
Gliding Flight

Numerical prediction of aerodynamic performance for a flying fish during gliding flight

2019 ◽  
Vol 14 (4) ◽  
pp. 046009 ◽  
Author(s):  
Jian Deng ◽  
Lingxin Zhang ◽  
Zhiyou Liu ◽  
Xuerui Mao
Keyword(s):  
Aerodynamic Performance ◽  
Numerical Prediction ◽  
Flying Fish ◽  
Gliding Flight

Flying Fish- The Way It Has Done

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Pushpakumara Sanjeewa
Keyword(s):  
Flying Fish ◽  
The Way

STABILITAS HARGA IKAN DI KOTA AMBON MELALUI PERAN COLD STORAGE, OPTIMASI PRODUKSI DAN EFISIENSI TEKNIS

2018 ◽  
Vol 2 (2) ◽  
pp. 74-84
Author(s):  
Stevanus Marelly Siahainenia ◽  
Dionisius Bawole ◽  
Eygner Gerald Talakua
Keyword(s):  
Cold Storage ◽  
Secondary Data ◽  
Raw Material ◽  
Primary Data ◽  
Survey Method ◽  
Production Factors ◽  
Flying Fish ◽  
Qualitative Descriptive ◽  
Installed Capacity ◽  
Space Capacity

The purpose of this study was to find out the function of cold storage in stabilizing fish prices in Ambon City, analyzing optimal production levels of various types of dominant fish, and analyzing the level of efficiency of utilization of cold storage and auxiliary machinery. This study uses the survey method. Primary data collection through questionnaires is built empirically while secondary data is obtained from several agencies related to this study. The research sample was drawn by exhausting sampling, amounting to 6 cold storage units in Ambon City. The role of cold storage to stabilize fish prices was analyzed using a qualitative descriptive approach, while the quantitative techniques used included analysis of optimization of cold storage production with linear programming and analysis of the efficiency of utilization of cold storage. The results of the study show that cold storage has not played a role properly to stabilize fish prices in Ambon City. To achieve optimal use of production factors, the cold storage management needs to reduce the raw material by 24,915.9 kg / month; 7 HOK / month workforce; cold storage storage space capacity of 2.09 kg / month; and demand for flying fish 1,402.6 kg / month, while the use of production factors efficiently (fully utulized) is the capacity of the freezing machine, demand for tuna, skipjack, and cob. The level of technical efficiency of the utilization of cold storage facilities is reached, the total use of installed capacity must be proportional to the capacity used.

Using Ansys for Design and Numerical Study of a Specific Fixed Wing UAV

2018 ◽  
Vol 55 (4) ◽  
pp. 652-657 ◽  
Author(s):  
Gabriel Murariu ◽  
Razvan Adrian Mahu ◽  
Adrian Gabriel Murariu ◽  
Mihai Daniel Dragu ◽  
Lucian P. Georgescu ◽  
...  
Keyword(s):  
Numerical Simulations ◽  
Unmanned Aerial Vehicle ◽  
Numerical Study ◽  
Flight Time ◽  
Cluster System ◽  
Numerical Results ◽  
Operational Performance ◽  
Gliding Flight ◽  
Aerial Vehicle ◽  
Constant Altitude

This article presents the design of a specific unmanned aerial vehicle UAV prototype own building. Our UAV is a flying wing type and is able to take off with a little boost. This system happily combines some major advantages taken from planes namely the ability to fly horizontal, at a constant altitude and of course, the great advantage of a long flight-time. The aerodynamic models presented in this paper are optimized to improve the operational performance of this aerial vehicle, especially in terms of stability and the possibility of a long gliding flight-time. Both aspects are very important for the increasing of the goals� efficiency and for the getting work jobs. The presented simulations were obtained using ANSYS 13 installed on our university� cluster system. In a next step the numerical results will be compared with those during experimental flights. This paper presents the main results obtained from numerical simulations and the obtained magnitudes of the main flight coefficients.

Aerodynamic effects of wing corrugation at gliding flight at low Reynolds numbers

2013 ◽  
Vol 25 (7) ◽  
pp. 071905 ◽  
Author(s):  
Xue Guang Meng ◽  
Mao Sun
Keyword(s):  
Reynolds Numbers ◽  
Low Reynolds Numbers ◽  
Gliding Flight ◽  
Low Reynolds

The Flight of the California Flying-Fish (Cypselurus californicus)

Copeia ◽  
1918 ◽  
pp. 85 ◽  
Author(s):  
Carl L. Hubbs
Keyword(s):  
Flying Fish

THE "FLIGHT" OF FLYING FISH

Science ◽  
1936 ◽  
Vol 83 (2150) ◽  
pp. 260-261 ◽  
Author(s):  
L. B. Loeb
Keyword(s):  
Flying Fish

Gliding Flight of the Dog-Faced Bat Rousettus Aegyptiacus Observed in a Wind Tunnel

1971 ◽  
Vol 55 (3) ◽  
pp. 833-845 ◽  
Author(s):  
C. J. PENNYCUICK
Keyword(s):  
Wind Tunnel ◽  
Lift Coefficient ◽  
Trailing Edge ◽  
Number Range ◽  
High Speeds ◽  
Gliding Flight ◽  
Speed Range ◽  
Simple Regression Analysis ◽  
Drag Analysis ◽  
Very High

1. A bat was trained to fly in a tilting wind tunnel. Stereoscopic photographs were taken, both by reflected and by transmitted light, and measurements of best gliding angle were made. 2. Variation of wing span and area at different speeds was much less than in birds. This is attributed to the construction of the wing, which prevents the bat from folding back the manus in flight, because this would lead to collapse of the plagiopatagium. 3. The trailing edge of the wing is normally deflected upwards in flight, at least in the distal parts. This is interpreted as providing longitudinal stability. The plagiopatagialis proprii muscles appear to act as an elevator, by deflecting the trailing edge of the plagiopatagium upwards. 4. The speed range over which the bat could glide was 5·3-11·0 m/s. Its maximum lift coefficient was 1·5, and its best glide ratio 6·8:1. The Reynolds number range, based on mean chord, was 3·26 x 104 to 6·79 x 104. 5. A simple regression analysis of the glide polar indicated a very high span efficiency factor (k) and low wing profile drag coefficient (Cdp). On the other hand, a drag analysis on the assumption that k = 1 leads to an improbably large increase in the estimated Cdp at low speeds. It is suggested that the correct interpretation probably lies between these extremes, with k ≊ 1·5; Cdp would then be about 0·02 at high speeds, rising to somewhat over 0·1 at the minimum speed. 6. It would appear that the bat is not so good as a pigeon at fast gliding, but better at low-speed manoeuvring. On most points of performance, however, the two are remarkably similar.

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