Thursday, April 4, 2019

Lift of a Flat Surface in Wind

hornswoggle of a Flat Surface in WindWhen working with organize, at that place argon some(prenominal) conceptsAR2that need to be considered, near prominently Bernoullis Principle. This principle, named for its creator Daniel Bernoulli, states that when an incompressible, smoothly returning fluid gains whet, internal pressure in the fluid decreases, and vice versa. (Hewitt, 2004) Put simply in terms of aerodynamics, Bernoulli states that when a fluids focal ratio increases, the pressure perpendicular to the flow of the fluid is decreased. For example, the Bernoulli Effect can be clearly observed in terms of a plane in flight. Planes are able to fly ar3beca practise their wings are knowing to cause agate line to flow faster over the top than the bottom. This creates lower are pressure in a higher place the wing, and the greater pressure below the wing pushes the plane up. This upward pressure is referred to as peak mightiness, or simply lift. (Actforlibraries.org, 2017) a r4 Lift is generated by deflecting give ventflow. By taking Newtons second law of motion (), it can be stated that the aerodynamic forces on a embody with 0 drag ar5relate hirely to the change in momentum of the fluid, which is equal to mass f number of the fluid. (H every last(predicate), 2015) An objects lift capabilities can be measured using the comparabilityW present =density, =velocity, = come area and=Coefficient of Lift. (Hodanbosi, 1996)Lift is dependent on velocity, air density, air viscosity/compressibility, the shape of the body and the bodys inclination in relation to the flow of air. The velocity variable quantity in the equation is, therefore doubling the velocity will quadruple the lift etc. Additionally, dependence on shape, viscosity/compressibility and inclination is convoluted to deal with these they are characterized as a single variable, known as the coefficient of lift. (Hall, 2015) The lift coefficient, utilise to object lesson the complex dependenc ies on lift, can be obtained using the equationWhere lift, the dynamic pressure ()and surface area.Therefor, expresses the proportionality of lift force to dynamic pressure times surface area. (Hall, 2015) It is about often found experimentally, provided the values for this experiment aim been taken from Aerospaceweb.com. (Jeff, 2003) Also, by using an International tired Atmosphere (ISA) table, the air density variable for this experiment shall be assumed to be 0.9337kgm3, based on an assumed tallness of approx. 691m above sea level. (Cavcar, N/A)Lift is dependent of several variables, including inclination. The shift between a surface and the airflow is referred to as the angle of attack. The angle of attack has a strong effect on the lift being produced. In terms of an airplane when an airplane is preparing to take off, it accelerates swiftly to r individually the necessary velocity. However, and before lifting off, the pilot tilts the wings, creating a greater angle o f attack and giving the airplane the required lift to leave the ground. In terms of surfaces such as thin aerofoils and ceilings, the coefficient of lift is directly proportional to the angle of attack, when the angle is within +/- 10. For bigger angles, the dependence becomes quite complex and is therefore defined by a coefficient of lift. (Hall, 2015)By using the above lift equation, supposed equations can be created to assist in the analysis of the outcome of the experiment, for exampleWhere 3.61ms-1 (calculated using the iOS app Wind Meter),the area of one of the roof put upsand the corresponding coefficient of liftAR6. at a lower place are the full results of the suppositional calculations performed for this experimentLift Applied to Roofs of Different Areas and Inclinations0.0025m20.01 m20.015265 m20.0225 m200.015N0.061N0.093N0.137N150.011N0.043N0.065N0.096N300.013N0.052N0.079N0.116N450.016N0.064N0.098N0.144N600.013N0.052N0.079N0.116NTable 1 (created usingJB7 MS Excel) Gra ph 1 (created using MS Excel) found on these calculations, it can be assumed that the lift force will always peak at around 45, reach the minimum around 15 and go over an identical pattern for each roof sizeAR8.Based on the above indorseground research, a hypothesis can be theorise regarding the factors affecting lift force. It can be hypothesized thatThe lift applied to a surface in confidential information is dependent on its surface area and angle relative to the airflow. This relationship peaks towards big angles and surface areas.AR9An electronic equilibrize was set up on a workbench and turned on, ensuring the units were set to grams. An electronic equilibrize was utilised for this experiment because lift, as a force, can be recorded by measuring how more than(prenominal) mass is being lifted away from the balance (in negatives) and converting this into Newtons. The fan was placed approximately 0.3m away from the electronic balance, ad rightful(prenominal)ed to dire ct the airflow directly above the balance. The base fleck of cardboard, measuring 0.1m by 0.15m (10cm2 by 15cm2), was attached to the balance with electrical tape, ensuring the edge (not the flat side) was directed at the fan. The first roof minute (measuring 0.0025m2, or 25cm2) was attached to the base piece, then the balance was TARED. The fan was turned on, set at speed 1. Three results were recorded from the balanceAR10 before the fan was turned off. The roof piece was removed, the first angled piece (at 15) attached the roof piece re- pertinacious. The balance was again TARED and the fan was then turned back on, three results recorded and turned off again. This process was repeated for every roof piece (measuring 0.0025m2/25cm2, 0.01m2/100cm2, 0.015265m2/156.25cm2 and 0.0225m2AR11/225cm2) fixed to every angled piece (at 15, 30, 45, 60 and 0). An average was later(prenominal) taken of each group of results, and these averages were graphed in Excel for further in-depth analysi s.There were several variables involved with this experiment. The self-employed person variables were the wind speed (which was controlled by using of the same fan), the roof area and the roof angle, and the dependent variable was the lift. The controlled variables included the use of the sameAR12 electronic balance, roof, angle and base pieces and the same speed setting on the fan, the postal service of the fan/airflow, the position of the scales and the position of the base piece and, by extension the roof twists.AR13 These variables were controlled to ensure that all results are viable and in agreement.In order to maintain safety in this experiment, the following procedures were implement Safety glasses were worn, the electronic equipment was kept away from water, the guard around the blades was not touched art object the fan was running, the cardboard was handled carefully so as not to cause paper sleep withs and, likewise, when the cardboard pieces were cut out the scisso rs were handled with care.AR14Lift Applied to Roofs of Different Areas and Inclinations0.0025 m20.01 m20.015265 m20.0225 m200.056N0.175N0.250N0.287N150.075N0.186N0.259N0.242N300.103N0.159N0.159N-0.640N450.111N-0.556N-0.620N-0.770N600.056N-0.631N-0.715N-0.787NTable 2 (created using MS Excel)Overall, the results of this experiment are plausible AR16at best. When comparing the empirical information to the theoretical entropy listed above, there are very few similarities and patterns. However, on close examination of the results there are several small connections. For example, even though each set of points has a different pattern, most of these patterns are similar in shape, and each set peaks at or before 45. However, from here the theoretical and empirical are completely different. A likely reason for the dramatic differences between the 2 sets of results is the conditions under which the experiment was performed. Despite the actions taken, there were still a number of uncontroll able variables that may have affected the outcomes recorded. For example, the air-conditioning unit operating on the roof may have disrupted the airflow, resulting in a less continuous stream and thence a more unpredictable add together of lift. Similarly, the fan used in the experiment may not have provided a strong enough direct flow of air to the structure, also causing anomalous resultsAR17.However, despite the obvious anomalies in results, the experiment still manages to envision the relationship between angle of attack, surface area and lift force. For three of the four data sets (excluding 0.0025m2) the graphs follow a very similar pattern, indicating that the results are accurate in terms of the relationship, not the actual data observed. In addition, all data sets drop off after they reach 45, showing that, just as observed in the theoretical results, lift force reaches its peak at around 45 inclination into the wind. The most likely reason for this is that past this in clination the structure presents a greater amount of its surface into the wind, allowing it to be pushed down. This phenomenon creates the positive mass results seen in the table above. This was not accounted for in the theoretical equations, which may have caused some of the anomalous results stated aboveAR18.Another prominent difference between empirical and theoretical results is the distinct differences between lift values in the theoretical data. These data sets remain at a fixed distance a detonate for the entire graph, directly opposed to the empirical data points which for the most part are plotted very close together. This illustrates a lower difference in lift force between different surface areas, however these results are likely due to the unstable nature of the structure used in the experiment. AR19Particularly in terms of the larger roof pieces, the structure became more unsteady, possibly resulting in the lower lift force recorded above. In terms of the patterns obser ved in the empirical data, the larger roof sizes do produce more lift, however past their peak they also create more downward force. While the smallest size does generate the greatest lift, the three larger sizes do produce an increase amount of lift, in comparison with each other.As mentioned previously, the structure used in the experiment, particularly with the larger roof piece attached, was very unstable. AR20This is a likely reason for the outlying point for the area of 0.0225m2 at an inclination of 30. This surface area is the largest used, and it was very unstable atop the base piece, often slide to the side and not remaining square with the base. Most likely, this instability is what has caused such an obvious anomaly, as the roof piece sliding may have exposed a larger surface area to the airflow, thus created more downward force and less upward lift.Therefore, with the above considerations it mind, and despite the severe anomalies between theoretical and empirical data, the hypothesis ofThe lift applied to a surface in wind is dependent on its surface area and angle relative to the airflow. This relationship peaks towards larger angles and surface areas.Is supported by this experiment.AR21When playing an experiment, there are always a multitude of variables that affect the outcome, and a variety of ways in which the processes can be improved upon to achieve a better result. For example, in this experiment an ordinary fellowship fan was used to generate the required airflow. Such a device is designed to provide air to an entire room, not to provide a direct flow of air such as is required to make this experiment a success. To make the experiment more successful, a more direct airflow should be utilised, possibly by making use of a wind tunnel, or even a hair dryerAR22.Similarly, the electronic balance used to take measurements was only a small, relatively simple piece of equipment. Also, as previously mentioned, the air-conditioning unit in the ro om was likely disrupting the already-unsteady airflow. This, along with the experiments position next to the door and the other people in the room, may have been the cause of the discrepant results, which often differed by up to 0.0015kg. To solve this, the experiment could be re-conducted in a controlled environment with zero affecting the more direct airflow. Additionally, a more accurate electronic balance could be usedAR23. A more accurate balance would a piece of equipment connected to a computer that records all results for each set of tests and identifies an accurate average.The most prominent issue with the experiment was the results created by the electronic balance. The results were greatly varied, as stated above, suggesting that there were several uncontrolled variables at play, affecting the data. There are several methods that could be employed to rectify this, including those already mentioned. Performing the experiment in an isolated area where all variables can be controlled so nothing can interfere with the results is the most likely way to generate more accurate results. This, coupled with the use of a more stable structure (i.e. made from a sturdier material and fixed for effectively), a more accurate airflow and more sophisticated measuring technologies, is the best course to re-perform the experiment and give more viable results.ReferencesActforlibraries.org, 2017. Bernoullis Principle of Lift. Online accessible at http//network.actforlibraries.org/bernoullis-principle-of-lift-4/Accessed 04 certify 2017.Aerodynamics for Students, 2016. Lift and Lift Coefficient. Online open at http//s6.aeromech.usyd.edu.au/aerodynamics/index.php/sample-page/aircraft-performance/lift-and-lift-coefficient/Accessed 04 March 2017.Benson, T., 2014. Lift Formula. Online easy at https//www.grc.nasa.gov/www/k-12/WindTunnel/Activities/lift_formula.htmlAccessed 09 March 2017.Cavcar, M., N/A. The International Standard Atmosphere. Online Available at http//hom e.anadolu.edu.tr/mcavcar/common/ISAweb.pdfAccessed 04 March 2017.Hall, N., 2015. Inclination Effects on Lift. Online Available at https//www.grc.nasa.gov/www/k-12/airplane/incline.htmlAccessed 19 March 2017.Hall, N., 2015. Lift Equation. Online Available at https//www.grc.nasa.gov/www/k-12/airplane/vel.htmlAccessed 02 March 2017.Hall, N., 2015. The Lift Coefficient. Online Available at https//www.grc.nasa.gov/www/k-12/airplane/liftco.htmlAccessed 04 March 2017.Hall, N., 2015. Velocity Effects on Aerodynamic Forces. Online Available at https//www.grc.nasa.gov/www/k-12/airplane/vel.htmlAccessed 02 March 2017.Hewitt, P. G., 2004. Bernoullis Principle. Online Available at http//www.nsta.org/publications/news/story.aspx?id=49598Accessed 02 March 2017.Hodanbosi, C., 1996. Lift Formula. Online Available at https//www.grc.nasa.gov/www/k-12/WindTunnel/Activities/lift_formula.htmlAccessed 02 March 2017.HyperPhysics, N/A. Bernoulli Equation. Online Available at http//hyperphysics.phy-astr.gsu. edu/hbase/pber.htmlAccessed 02 March 2017.Jeff, S., 2003. Airfoils at High Angles of Attack. Online Available at http//www.aerospaceweb.org/question/airfoils/q0150b.shtmlAccessed 04 March 2017.Physics Forum, 2011. Fluid mechanics Lift Force on a Roof Bernoullis Equation. Online Available at https//www.physicsforums.com/threads/fluid-mechanics-lift-force-on-a-roof-bernoullis-equation.533145/Accessed 02 March 2017.Scott, J., 2003. Airfoils at High Angle of Attack. Online Available at http//www.aerospaceweb.org/question/airfoils/q0150b.shtmlAccessed 04 March 2017.Scott, J., 2003. Lift Coefficient Thin Airfoil Theory. Online Available at http//www.aerospaceweb.org/question/aerodynamics/q0136.shtmlAccessed 04 March 2017.

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