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Implementation of an Integrative MATLAB Engine Model as a Final Project in an Internal Combustion Engines Course.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Implementation of an Integrative MATLAB Engine Model as a Final Project in an Internal Combustion Engines Course./
作者:	White, Theron.
面頁冊數:	1 online resource (84 pages)
附註:	Source: Masters Abstracts International, Volume: 77-12.
Contained By:	Masters Abstracts International77-12.
標題:	Automotive engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781339740911

Implementation of an Integrative MATLAB Engine Model as a Final Project in an Internal Combustion Engines Course.
White, Theron.

Implementation of an Integrative MATLAB Engine Model as a Final Project in an Internal Combustion Engines Course. - 1 online resource (84 pages)

Source: Masters Abstracts International, Volume: 77-12.

Thesis (M.S.)--University of Idaho, 2016.

Includes bibliographical references

There is insufficient time within a single technical elective to learn principles of internal combustion engine operation as well as specialized simulation tools such as GT Suite or Kiva. A number of authors have recognized this constraint, and they have structured their internal combustion engine text around use of programming languages such as FORTRAN, C++, and MATLAB®. This paper reports on how the capabilities of MATLAB® have been synergized with learning activities and homework assignments to set the stage for a successful final engine simulation project. The MATLAB ® code involved in this effort can accept basic input parameters such as bore, stroke, compression ratio, spark advance, throttle position, RPM, air/fuel equivalence ratio, and volumetric efficiency and output power and torque using the Wiebe function and bulk temperature. In addition to power and torque predictions, the model described here uses a two-zone heat release model to predict brake specific fuel consumption as well as volumetric emissions. An engine-specific volumetric efficiency map is suggested to ensure accurate results at all throttle positions. Students are pleasantly surprised at how well their customized MATLAB® model is able to match published performance data from a diversity of applications: mopeds, racing motorcycles, sedans, and SUVs. The model has been used successfully by students for simulating engine results from 50 cm3 to 5 liters. These simulations produced power and torque results very close to the actual outputs of the engine based on factory engine data. These simulations also yield brake specific fuel consumption and brake specific emissions maps that agree with empirical data. A positive impact on professional skill development is demonstrated through a series of course surveys.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9781339740911Subjects--Topical Terms:

1104081
Automotive engineering.
Subjects--Index Terms:

KivaIndex Terms--Genre/Form:

554714
Electronic books.

Implementation of an Integrative MATLAB Engine Model as a Final Project in an Internal Combustion Engines Course.
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502 $a Thesis (M.S.)--University of Idaho, 2016.
504 $a Includes bibliographical references
520 $a There is insufficient time within a single technical elective to learn principles of internal combustion engine operation as well as specialized simulation tools such as GT Suite or Kiva. A number of authors have recognized this constraint, and they have structured their internal combustion engine text around use of programming languages such as FORTRAN, C++, and MATLAB®. This paper reports on how the capabilities of MATLAB® have been synergized with learning activities and homework assignments to set the stage for a successful final engine simulation project. The MATLAB ® code involved in this effort can accept basic input parameters such as bore, stroke, compression ratio, spark advance, throttle position, RPM, air/fuel equivalence ratio, and volumetric efficiency and output power and torque using the Wiebe function and bulk temperature. In addition to power and torque predictions, the model described here uses a two-zone heat release model to predict brake specific fuel consumption as well as volumetric emissions. An engine-specific volumetric efficiency map is suggested to ensure accurate results at all throttle positions. Students are pleasantly surprised at how well their customized MATLAB® model is able to match published performance data from a diversity of applications: mopeds, racing motorcycles, sedans, and SUVs. The model has been used successfully by students for simulating engine results from 50 cm3 to 5 liters. These simulations produced power and torque results very close to the actual outputs of the engine based on factory engine data. These simulations also yield brake specific fuel consumption and brake specific emissions maps that agree with empirical data. A positive impact on professional skill development is demonstrated through a series of course surveys.
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