Acoustic Emission of Engine Valve Train / (Record no. 607321)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02309nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mustafa, Atta ul |
| 245 ## - TITLE STATEMENT | |
| Title | Acoustic Emission of Engine Valve Train / |
| Statement of responsibility, etc. | Atta ul Mustafa |
| 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 | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 55p. ; |
| Other physical details | Soft Copy |
| Dimensions | 30cm. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This study presents the use of acoustic emission (AE) analysis in combination with signal<br/>processing and LabVIEW software for monitoring 4 different types of oils in different conditions.<br/>AE signals were collected using a free filed microphone 4188 with good frequency range placed<br/>near the valve train, and the signals were conditioned using a signal conditioner to amplify the<br/>signal. The amplified signals were then processed using Fast Fourier Transform (FFT) analysis<br/>with National Instruments DAQ cards and LabVIEW software to extract features related to valve<br/>train behavior i.e. engine sound, frictional torque etc. The results showed that AE analysis using<br/>LabVIEW and signal processing techniques can effectively detect and characterize valve train<br/>behavior under various operating conditions. Then investigates the effect of different engine oils<br/>on the behavior of engine valve trains using acoustic emission (AE) analysis and FFT analysis<br/>with LabVIEW software. Four different types of engine oils of the same grades were tested on a<br/>single-cylinder four-stroke engine with four valves. AE signals were collected using a microphone<br/>and amplified using a signal conditioner, and then analyzed using FFT analysis with National<br/>Instruments DAQ cards and LabVIEW software to extract peak values related to valve train<br/>behavior. The results show that the different types of engine oils have a significant effect on the<br/>peak values of the AE signals, which is indicative of valve train behavior and from this behavior<br/>the frictional torque can be find out[1]. The study demonstrates the potential of AE analysis and<br/>FFT analysis with LabVIEW software as a valuable tool for evaluating the performance of engine<br/>oils on engine valve train behavior.<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Mechanical Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Prof. Dr. Riaz Ahmed Mufti |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/34903">http://10.250.8.41:8080/xmlui/handle/123456789/34903</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| 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 | 12/12/2023 | 621 | SMME-TH-879 | Thesis |