A Novel Algorithm for Evaluating the Accuracy of In-Cylinder Convective Heat Transfer Coefficient Estimation Models in Port Water-Injected Diesel Engine / (Record no. 614933)

000 -LEADER
fixed length control field 04427nam a22001577a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Janjua, Asad Asghar
245 ## - TITLE STATEMENT
Title A Novel Algorithm for Evaluating the Accuracy of In-Cylinder Convective Heat Transfer Coefficient Estimation Models in Port Water-Injected Diesel Engine /
Statement of responsibility, etc. Asad Asghar Janjua
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Islamabad :
Name of producer, publisher, distributor, manufacturer SMME- NUST;
Date of production, publication, distribution, manufacture, or copyright notice 2025.
300 ## - PHYSICAL DESCRIPTION
Extent 118p.
Other physical details Soft Copy
Dimensions 30cm
500 ## - GENERAL NOTE
General note This research study focuses on evaluating the accuracy of three classical empirical<br/>models (Eichelberg, Woschni, and Hohenberg Models) commonly used to estimate the<br/>in-cylinder gas-to-wall spatially-averaged-instantaneous-convective heat transfer<br/>coefficient (HTC) in a four-stroke high-speed diesel (HSD) engine. The investigation<br/>specifically examines effects of port water injection on HTC at low, part, and high load<br/>conditions using a retrofitted port water injection system capable of generating variable<br/>water injection rates. The absence of a reliable accuracy determination experimental<br/>methodology for HTC models in port water injected-diesel engines has prompted the<br/>development of an algorithm. This approach utilizes a novel model-based, sequential<br/>flow approach using experimental data to develop an algorithm for determination the<br/>accuracy of HTC models. The primary data source consists of 36000 experimentally<br/>measured in-cylinder pressure values, obtained at 0.36-degree intervals. Separate pressure<br/>measurements were conducted for each of the three loading conditions, with six<br/>variations in water injection rates within each condition. The algorithm follows a twostep process. First, thermodynamic models are employed to derive essential parameters<br/>such as in-cylinder volume, temperature, internal energy, thermodynamic work, and<br/>exhaust heat. In the second step, the algorithm calculates the in-cylinder convective heat<br/>transfer coefficients using the Eichelberg, Woschni, and Hohenberg models. Notably,<br/>these models yield different HTC values for identical engine operating conditions and<br/>water injection rates. Using the derived HTC values, the algorithm calculates the heat<br/>loss to the cylinder walls, enabling the determination of the engine's cumulative heat<br/>release based on thermodynamic relations involving internal energy, work, exhaust heat,<br/>and heat loss. By comparing the fuel cumulative heat release with the engine cumulative<br/>heat release, the algorithm calculates the engine's combustible efficiency. To identify the<br/>heat transfer coefficient model that closely matches a reference value of 98% for engine<br/>combustible efficiency, the algorithm compares the calculated values from all testing<br/>conditions. The model that generates the highest number of occurrences closest to the<br/>referenced 98% is considered the most accurate heat transfer coefficient estimation model<br/>xix<br/>for high-speed diesel engines utilizing port water injection. The algorithm was<br/>implemented on the data obtained from three operating conditions. Each operating<br/>condition was tested without water injection and five water injections rates using<br/>successive increase in water mass. Total of 36000 in-cylinder pressure values were used<br/>for each operating condition and at each water injection rate to obtain all thermodynamic<br/>values used in the research. This led to 54 engine combustible values. These engine<br/>combustible values then provided 18 most accurate values corresponding to 18 water<br/>injection rates for three engine operating conditions. The accuracy of each HTC model<br/>was estimated by algorithm at each operating condition and for entire engine operation as<br/>well. According to reference value of 98% combustible efficiency; the algorithm<br/>calculated that at low and high loading conditions, Hohenberg model estimated most<br/>accurate HTC values with 66.66% and 100% accuracy. At medium loading condition,<br/>Woschni model estimated most accurate HTC values with 66.66% accuracy. According<br/>to algorithm, Hohenberg model estimated HTC values with 67% accuracy for overall<br/>engine operation. This research addresses a critical gap in accurately estimating HTC in<br/>water-injected diesel engines and provides valuable insights for optimizing engine<br/>performance.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PhD in Mechanical Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Supervisor : Dr. Waqas Khalid
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://10.250.8.41:8080/xmlui/handle/123456789/54838">http://10.250.8.41:8080/xmlui/handle/123456789/54838</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
Holdings
Withdrawn status Permanent Location Current Location Shelving location Date acquired Full call number Barcode Koha item type
  School of Mechanical & Manufacturing Engineering (SMME) School of Mechanical & Manufacturing Engineering (SMME) E-Books 09/29/2025 621 SMME-Phd-38 Thesis
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