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'2. 5 0 :-.o: I.II 1:01:'1� I '5 2 '5 1>:2,(:75 \ :O1·.2.z. 15 2. 5 o:��··"' 0�'5, :14 -z_":, :,S o·so:70 I ; I '2: 1.125 ':)S O:4�•.o:: 1:0,:t.t NIA AJ/A Volume Flow Rate (Average) Q (m3/sec)Rate of Change of Force Momentum rhU0 Exp. Theo. (kg.m/sec2) Experiment titleAE: 341 Fluid Mechanics Laboratory.Section 0AuthorJohn DoeInstructorCourse InstructorFebruary 24, 2017 Experiment titleJohn Doe2IntroductionThe introduction begins by stating the name of the experiment. The objective statement from the experiment handout is repeated, preceded by “The purpose of this lab is……”The name of the person performing the experiment is stated along with the location and date. The fact that it was a requirement for this course is stated. (1)TheoryThis section discusses the theory and accepted empirical data used for the experiment, briefly but completely. All equations used are included, with definition of all terms. The way in which the lab results are used to compare with the theory is described.Derivations of equations from textbooks are not included. However, if you derive the equations by yourself, you need to list the derivation in the Appendix section (1).The equations must be typed, do not use photos, scans from equations, generated by a mathematical interpreter of your preference; also they must be numbered. For example equation1 is a very important equation, and equation 2 is a more general form of Equation.⃗F=m∙⃗aequation 1⃗F=d(m∙⃗V)dtequation 2Figure 1: H1D Volumetric Hydraulic Bench.. Adapted from ref. (2) Figure 1 shows the H1D volumetric hydraulic bench manufactured by TecEquipment. Only show a picture is not enough, other information may be relevant for the experiment for example: Experiment titleJohn Doe3Results and discussionIf required, Reynolds number based on the characteristic length and the associated flow speed tested needs to be presented. Experimental results are described, usually by referring to appropriately labeled graphs or tables. Reason for deviation from expected values are discussed. Important features such as scatter, bias and slope should also be addressed (1).When showing your data by means of graphs keep in mind that most of times people will print your report using black and white colors or grayscale, if the only distinction among your data is line color it may become undistinguishable when printed.Figure 2 is an example of a bad formatted figure. You can see the borders contain information not relevant to present the data, as Matlab® figure headers and computer background information. In order to avoid this unwanted information use the options for export or save the figures provided by the software. Other important problems you may notice on Figure 2 are listed below:1.There is no legend, it is not possible to know what each curve represents.2.There is no title.3.The axis has no label nor units.4.Axis ticks are bad formatted, it makes the data harder to read. Experiment titleJohn Doe4Figure 2: This is a bad formatted plot.Figure 3 presents a better formatted figure. The figure has a clean presentation and some points are highlighted:Data: The theoretical curve is represented by a dashed line and the regression line is presented by a solid line making them distinguishable even if printed in black and white. The experimental data points are presented by circles and the regression line equation are also presented and is linked to the regression curve by an arrow. Note that the number of digits for the equation must be adequate for the experiment accuracy. Experiment titleJohn Doe5Legend: The legend must describe in very short space the data and symbols used on the figure, also must be placed easy to find and with the least interference with data.Axis: It must be labeled in a meaningful way and must have the units used to represent the data. The axis tick labels must be easy to read too many ticks and/or too many digits make harder to a fast data assessment, grid lines, not excessively dense, are useful to assess data.For more information on how to present figures and tables see reference (3) and for more information about structuring and writing a report see reference (4).Put a sample calculation of one run, show how you obtain the different quantities required to have one point in the graphFigure 3: Better formatted plot. Shows theoretical curve, experimental data points, regression curve and its equation. There is a title and axis are labeled. Experiment titleJohn Doe6ConclusionBriefly summarize your conclusion or concluding remarks. If you have suggestions on the improvement of the experiment, briefly stated in this section (1).When presenting your conclusions, and results, avoid words and sentences as: “great accuracy”, “good results”, “minimal error”, and, “results are good. You need to be objective and support your conclusions using your experimental results and calculations.