Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Thesis.pdf (3.3 MB)

ETD Abstract Container

Abstract Header

Uncertainty Analysis of an Engine Test Cell

Kavathia, Kepin Bipin
http://rave.ohiolink.edu/etdc/view?acc_num=osu1532030837916798

Abstract Details

2018, Master of Science, Ohio State University, Mechanical Engineering.
Durability test has been increasingly important due to demand for the extended life of the vehicles and hence vehicle’s powertrain. When these long, time-consuming durability tests are running, there is a need for automated checks to assess if they are running as per the requirement. This requires us to know acceptable error range for each of the measured variables and performance parameters. Hence, the main objective is to find the exhaustive error band of the system’s important performance parameters through measured variables. A detailed uncertainty analysis, consisting of systematic and random uncertainty is calculated for performance parameters like Brake Mean Effective Pressure (BMEP), Brake Specific Fuel Consumption (BSFC), Air-Fuel Ratio (AFR), Indicative Mean Effective Pressure (IMEP) and air flow rate into the engine. The uncertainty in the performance parameters is calculated from the uncertainty of the measured variables. The effect of the environmental conditions like air temperature, humidity, and variation of part-to-part are also taken into consideration for calculating the uncertainty. The systematic uncertainty is calculated by the understanding of the system, i.e. the sensors and the actuators of the engine cell, while the random uncertainty is calculated using the data from GT-Power model simulations. Student’s t-distribution is used to calculate the uncertainty as for the true value of the mean and standard deviation of the data received is not known. Error bounds of the performance parameters are found using the GT-Power simulations. A list of performance parameters with the major contributing factors to their uncertainties is listed. Root cause analysis of the performance parameter is shown at the end of the literature.
Shawn Midlam-Mohler (Advisor)
Marcello Canova (Committee Member)
Punit Tulpule (Committee Member)
Raju Dantuluri (Committee Member)
122 p.
Mechanical Engineering

Recommended Citations

Citations

  • Kavathia, K. B. (2018). Uncertainty Analysis of an Engine Test Cell [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532030837916798

    APA Style (7th edition)

  • Kavathia, Kepin. Uncertainty Analysis of an Engine Test Cell. 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1532030837916798.

    MLA Style (8th edition)

  • Kavathia, Kepin. "Uncertainty Analysis of an Engine Test Cell." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532030837916798

    Chicago Manual of Style (17th edition)

osu1532030837916798
1,780
© 2018, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.