Mechanical Engineering MS Thesis Defense by Mr. Xuyang Wang
When: Tuesday,
October 18, 2016
3:30 PM
-
4:30 PM
Where: Textiles Building 101E
Description: Mechanical Engineering MS THESIS DEFENSE by Mr. Xuyang Wang
October 18, 2016
3:30 p.m. 5:30 p.m.
Textile Building, Room 101E
TOPIC:
Topography Sample Size Compression by Cantor Set Concept
ABSTRACT:
There are two crucial challenges in surface topography inspection for manufacturing quality control. The first one is to minimize the sample size that is usually extremely large and time consuming in acquisition and processing, and the second one is to make the topography characterization highly efficient. In this research, a new sampling strategy based on Cantor set concepts is proposed for minimizing the sample size of surface topography. The new method is designed to reduce the number of sampled data points and also makes sampling and signal processing easier. Meanwhile, it is also crucial to keep the key characteristics in the original signal for quality evaluation while reducing the sample size. In addition, the data retrieved from the AFM instrument was used to validate this new sampling method. Nevertheless, the results of this research demonstrate the effectiveness of this method in sample compression and topography characterization. This method could also benefit industrial companies by reducing quality cost.
ADVISOR:
Dr. Wenzhen Huang, Department of Mechanical Engineering
COMMITTEE MEMBERS:
Dr. Vijaya B. Chalivendra, UMD MNE
Dr. Sherif D. El Wakil, UMD MNE
Open to the public.
All MNE students are encouraged to attend.
For more information, please contact Dr. Wenzhen Huang (whuang@umassd.edu, 508-910-6568).
October 18, 2016
3:30 p.m. 5:30 p.m.
Textile Building, Room 101E
TOPIC:
Topography Sample Size Compression by Cantor Set Concept
ABSTRACT:
There are two crucial challenges in surface topography inspection for manufacturing quality control. The first one is to minimize the sample size that is usually extremely large and time consuming in acquisition and processing, and the second one is to make the topography characterization highly efficient. In this research, a new sampling strategy based on Cantor set concepts is proposed for minimizing the sample size of surface topography. The new method is designed to reduce the number of sampled data points and also makes sampling and signal processing easier. Meanwhile, it is also crucial to keep the key characteristics in the original signal for quality evaluation while reducing the sample size. In addition, the data retrieved from the AFM instrument was used to validate this new sampling method. Nevertheless, the results of this research demonstrate the effectiveness of this method in sample compression and topography characterization. This method could also benefit industrial companies by reducing quality cost.
ADVISOR:
Dr. Wenzhen Huang, Department of Mechanical Engineering
COMMITTEE MEMBERS:
Dr. Vijaya B. Chalivendra, UMD MNE
Dr. Sherif D. El Wakil, UMD MNE
Open to the public.
All MNE students are encouraged to attend.
For more information, please contact Dr. Wenzhen Huang (whuang@umassd.edu, 508-910-6568).
Topical Areas: Faculty, General Public, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars