Develop a predictive identification matrix for material hardness and thickness correlation

The ability to quantify materials hardness and thickness co relationship ensures quality assurance. There is a strong demand in quantifying composite joint on the go. Common Non destructive test methods, such as ultrasonic, radiographic inspection and acoustic resonance testing are used in the indus...

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Main Author: Si, Jonathan Wei Zhong.
Other Authors: Lye Sun Woh
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/54002
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-540022023-03-04T18:55:46Z Develop a predictive identification matrix for material hardness and thickness correlation Si, Jonathan Wei Zhong. Lye Sun Woh School of Mechanical and Aerospace Engineering DRNTU::Engineering The ability to quantify materials hardness and thickness co relationship ensures quality assurance. There is a strong demand in quantifying composite joint on the go. Common Non destructive test methods, such as ultrasonic, radiographic inspection and acoustic resonance testing are used in the industry to quantify quality. Furthermore, these market available test devices were expensive and bulky. In this report, a previous designed device for evaluating composite joint by another FYP student was reviewed. The shortfall of the device was enhanced and further improved with a new and better design. The concept behind the new device was based on the acoustic resonance testing fundamentals. The design concept was then being evaluated and examined. The Final product was designed with the aid of “solidWork”, 3-D modeling software. The detailed drawing was then sent to an external vendor for fabrication. The student innovates through the combination of easy available component to build the device, instead of reinventing the whole thing. This report covers the review process of the previous test device through a systematic engineering approach. The student explored and evaluates the concept of the new designed device with the help of a decision matrix based on the requirement specified. The report also consists of the engineering design process, where the student did research, conceptual evaluation, feasibility assessment, embodiment design, detailed design and finally the production of the final design. Lastly, experiments were carried out to endorse the validity of the new device. The relationship based on the readings and different environment parameters were formulate through various experiments. The validity of the establishment model was backed by theoretical hypostasis and experimental data collected. Finally, with all the comprehensive assessment carried out, the new design test device was able to meet all the objective and specification stated in this project. Bachelor of Engineering (Mechanical Engineering) 2013-06-11T06:12:07Z 2013-06-11T06:12:07Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54002 en Nanyang Technological University 64 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Si, Jonathan Wei Zhong.
Develop a predictive identification matrix for material hardness and thickness correlation
description The ability to quantify materials hardness and thickness co relationship ensures quality assurance. There is a strong demand in quantifying composite joint on the go. Common Non destructive test methods, such as ultrasonic, radiographic inspection and acoustic resonance testing are used in the industry to quantify quality. Furthermore, these market available test devices were expensive and bulky. In this report, a previous designed device for evaluating composite joint by another FYP student was reviewed. The shortfall of the device was enhanced and further improved with a new and better design. The concept behind the new device was based on the acoustic resonance testing fundamentals. The design concept was then being evaluated and examined. The Final product was designed with the aid of “solidWork”, 3-D modeling software. The detailed drawing was then sent to an external vendor for fabrication. The student innovates through the combination of easy available component to build the device, instead of reinventing the whole thing. This report covers the review process of the previous test device through a systematic engineering approach. The student explored and evaluates the concept of the new designed device with the help of a decision matrix based on the requirement specified. The report also consists of the engineering design process, where the student did research, conceptual evaluation, feasibility assessment, embodiment design, detailed design and finally the production of the final design. Lastly, experiments were carried out to endorse the validity of the new device. The relationship based on the readings and different environment parameters were formulate through various experiments. The validity of the establishment model was backed by theoretical hypostasis and experimental data collected. Finally, with all the comprehensive assessment carried out, the new design test device was able to meet all the objective and specification stated in this project.
author2 Lye Sun Woh
author_facet Lye Sun Woh
Si, Jonathan Wei Zhong.
format Final Year Project
author Si, Jonathan Wei Zhong.
author_sort Si, Jonathan Wei Zhong.
title Develop a predictive identification matrix for material hardness and thickness correlation
title_short Develop a predictive identification matrix for material hardness and thickness correlation
title_full Develop a predictive identification matrix for material hardness and thickness correlation
title_fullStr Develop a predictive identification matrix for material hardness and thickness correlation
title_full_unstemmed Develop a predictive identification matrix for material hardness and thickness correlation
title_sort develop a predictive identification matrix for material hardness and thickness correlation
publishDate 2013
url http://hdl.handle.net/10356/54002
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