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Evaluation of a Zero-Dimensional HDDI Diesel Combustion Model
2014 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Simulations are a natural part of the product development process within the automotive industry and provide important input to concept selections, design analysis and verification. An important part of the procedure is the continuous evaluation and development of these simulation models.Volvo Powertrain Engineering develops and designs heavy-duty diesel engines for a range of applications within the Volvo Group. An essential part of their development process of new engines is the utilization of various computer simulation models. The ability of these models to accurately make predictions over a wide range of operating conditions is crucial.New legislation such as the Euro 6 standard which will come into force during 2014, will set higher demands on emissions such as nitrogen oxides, carbon monoxide and particulates. As the emissions from a diesel engine are directly linked to the combustion, a lot of effort is made to analyze, predict and control this process.This thesis focuses on the in-house simulation model known as VCATO, which is used to predict the characteristics of the combustion process in heavy-duty diesel engines. The aim has been to analyze and evaluate the model in order to provide important information for further development of said model. The project has been carried out in three different phases during the spring of 2014. The first phase revolved around analyzing and rewriting the model from FORTRAN to MATLAB code. During this analysis an extensive literature review was also performed, which provided a lot of fundamental knowledge around the structure and components of the model. The following phase was to perform simulations using in the simulation environment ICES, where the current version of the model is a standard component. The last phase consisted of evaluating the simulation results towards measurement data collected from a test engine to be able detect the areas where the prediction accuracy was questionable.

Place, publisher, year, edition, pages
2014. , p. 67
Keyword [en]
Technology
Keyword [sv]
Teknik, diesel, förbränning, modellering, simulering
Identifiers
URN: urn:nbn:se:ltu:diva-52942Local ID: a037a99a-b5ce-4657-9878-3bec7ee803faOAI: oai:DiVA.org:ltu-52942DiVA, id: diva2:1026315
External cooperation
Subject / course
Student thesis, at least 30 credits
Educational program
Sustainable Energy Engineering, master's level
Examiners
Note
Validerat; 20140922 (global_studentproject_submitter)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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  • Other locale
More languages
Output format
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