Mechanical Engineering Industrial Systems Engineering (ISE) MS Project Presentation by Mr. Jason T. Galary
When: Tuesday,
May 10, 2016
1:00 PM
-
3:00 PM
Where: Textiles Building 101E
Description: Mechanical Engineering Industrial Systems Engineering (ISE)
MS Project Presentation by Mr. Jason T. Galary
May 10, 2016
1:00 p.m. 3:00 p.m.
Textile Building, Room 101E
TOPIC:
A Response Surface Methodology and Central Composite Design for the Optimization of a Fluorocarbon Gel Manufacturing Process
ABSTRACT:
In this study a Design of Experiments (DOE) methodology combined with a Central Composite Response Surface Design was employed to optimize the manufacturing process of a fluorocarbon gel. The manufacturing of a fluorocarbon gel is a chemical process where polyalphaolefin is gelled with polytetrafluoroethylene (PTFE) to create a material used in the lubrication of automotive steering shafts and other components. The current manufacturing process that is being optimized suffers from high variability which is caused by the lack of understanding and control of process variables. Through linear regression, an empirical model was constructed and used with a cost equation in a multi-objective optimization simulation in Matlab. This simulation used a Genetic Evolutionary Algorithm to determine the optimal conditions for the manufacturing process and was compared to the results from the DOE.
ADVISOR:
Dr. Wenzhen Huang
COMMITTEE MEMBERS:
Dr. Farhad Azadivar, Dr. Vijaya Chalivendra
Open to the public.
All MNE students are encouraged to attend.
Please contact Dr. Wenzhen Huang for more information (whuang@umassd.edu, 508-910-6568).
Thank you,
Sue Cunha
Administrative Assistant
MS Project Presentation by Mr. Jason T. Galary
May 10, 2016
1:00 p.m. 3:00 p.m.
Textile Building, Room 101E
TOPIC:
A Response Surface Methodology and Central Composite Design for the Optimization of a Fluorocarbon Gel Manufacturing Process
ABSTRACT:
In this study a Design of Experiments (DOE) methodology combined with a Central Composite Response Surface Design was employed to optimize the manufacturing process of a fluorocarbon gel. The manufacturing of a fluorocarbon gel is a chemical process where polyalphaolefin is gelled with polytetrafluoroethylene (PTFE) to create a material used in the lubrication of automotive steering shafts and other components. The current manufacturing process that is being optimized suffers from high variability which is caused by the lack of understanding and control of process variables. Through linear regression, an empirical model was constructed and used with a cost equation in a multi-objective optimization simulation in Matlab. This simulation used a Genetic Evolutionary Algorithm to determine the optimal conditions for the manufacturing process and was compared to the results from the DOE.
ADVISOR:
Dr. Wenzhen Huang
COMMITTEE MEMBERS:
Dr. Farhad Azadivar, Dr. Vijaya Chalivendra
Open to the public.
All MNE students are encouraged to attend.
Please contact Dr. Wenzhen Huang for more information (whuang@umassd.edu, 508-910-6568).
Thank you,
Sue Cunha
Administrative Assistant
Topical Areas: Faculty, General Public, Students, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars