Engineering Homework Help

– The goal of this lab is to analyze a Kohler Model CH20S spark–ignition (SI) engine to characterizeits performance. The engine is connected to an instrumented brake (i.e., an eddy–current dynamometer) controlled by a Dyn–Loc IV digital dynamometer controller. The output of the dynamometer controller is torque, speed, and power.We will control the speed and measure the torque and power.Twovideosshowing the experimental setup and brief examples of the measurements is provided in the assignment.Data Collection Procedures:The dynamometer control unit wasused to control engine load (and speed) by varying the dynamometerspeed from 1100 RPM to 500 RPM in 100 RPM increments. Note that the engine speed is 3.16x the speed of the dynamometer as a result of the transmission between the engine and the load. The torque produced by the engine is 3.16x smaller than the dynamometer reading.

– Deliverables:Your reportmust be submitted as a single pdf. The site https://smallpdf.com/merge–pdfis a no–download, no–cost way to combine pdfs. It will probably be easier to copy and paste the tables, figures, and code into a Word documentand then export it as a pdf. The reportmustconsist of plots and tables followed by the Matlab code you developed for deliverable 4 and possibly 5. All plots must be properly labelled and have a descriptive figure caption. Remember to use symbols for discretely obtained data unless the data is so densely obtained that the symbols overlap (deliverable 4should not have symbols, deliverable 2and 3should use symbolsconnected by lines).All tables must have properly displayed units in the column title and no more than 4 significant figures. Using Excel will enable you to control the number of significant figures. Most tables should fill the width of the text area. Make sure the width of each column is such that the title is not too hard to read. (Highlightingthe top of the column, right click, and select column width will allow you to set the column width. Using right–click, Format Cells, Alignment, Wrap Text will help you decide how wide to make a columnto make the column titles look good.)

1.Table1(15%)Eightcolumn table with (1) engineRPM, (2) beginning fuel weight in kg, (3) ending fuel weight in kg, (4)fuel consumption rate in kg/s, (5) available power from fuel in kW, (6) brake power from dynamometerin kW, (7) brake thermal efficiency, (8) enginetorque in N–m(remember the impact of the transmission).2.Plot1 (15%) Create a plot of brake torque (N–m) vs engine speed (RPM) and brake power vs. engine speed on the same plot. List the maximum torque (N–m)and maximum power (kW) on the plot. You must use a yy vs. t plot where the y axes are separate. Carefully indicate which axis each data set refers to. Use symbols for the discretely obtained data and connect the symbols with a line.3.Plot 2(15%)Create a plot of brake thermal efficiency vs. engine speed.Use symbols for the discretely obtained data and connect the symbols with a line.4.Data files of optical sensor output vs. time and pressure sensor voltagevs. time will be posted for each engine speed.Use this data for the a.Plot 3(20%)Create, three properly sized(y:x aspect ratio somewhere between 1:1 and 3:4), vertically registered plots for five cycles of a singleengine speed. The first plot should be optical sensor and crank angle (in radians) vs. time.The second plot should be optical sensor voltage and cylinder volume in m3vs. time. The third plot should be optical sensor voltageand pressure in MPa vs.time.You can either scale the optical sensor voltage so that both signals fill the plot area or use a yy vs. t plot.(10% for plot quality only, points for errors will be taken off later)b.Plot 4(10 %)Pressure(MPa)vs. cylinder volume (m3) for a single, representative cycle at a single engine speed(5% for plot quality only, points for numerical errors will be taken off later)c.Plot 5 (5%)Pressure vs. cylinder volume for all cycles in a data set at a single engine speed.(5% for plot quality only, points for errors will be taken off later)5.Table 2(20%) Integrate the PV diagram for ten single engine cycles to determine the average work per cycle per cylinder. Create a seven–column table (using Excel or Matlab) to summarize these results and subsequent calculations.a.Column 1 and 2 should have the average work per cycle per cylinderand the standard deviation in J/cycle/cylinderb.Column 3 and 4 should have the average power per cycle per cylinder and the standard deviation in kW.c.Column 5 should have the power measured by the dynamometer in kW.d.For column 6, use the average power per cycle per cylinder to calculate the average mechanical power from the p–V work inthe piston for the engineassuming two cylinders.e.Compute the mechanical conversion efficiency by dividing the dynamometer power by the power calculated in part d.

– The Excel file contains the data you would have recorded by reading the scale and the dynamometer output. Ignore the 400 RPM data (attached in dynamometer output file).

– The heat content of the fuel is QHV = 44 MJ/kg.

– The data files are a different format than the ones you would get now. Ivo provided dtaload.m and lvm_import.m to read the files into Matlab. The lvm_import is a function that must be in the same directory. You may want to copy some code from dtaload but you should not feel obligated to use all of it. The names of the different files are self explanatory. They refer to the dynamometer, not the engine, RPM.(See Data files file attached).

– Also, you can refer to lecture notes under the lecture notes file attached.

– I could not attach the videos of the experiment, so here are links to the videos, please let me know if you can access them:

https://nam12.safelinks.protection.outlook.com/?ur…

https://nam12.safelinks.protection.outlook.com/?ur…

Due: Mon Mar 1, 2021 11:59pm (Eastern US time)