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Monday, November 7, 2016
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1:00 PM
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1:50 PM
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ARC/Writing & Reading Center's Academic Reading Workshop
- Location: Liberal Arts Building 220
- Contact: Writing and Reading Center
- Description: Looking to get more information out of your class materials? Want to improve your reading comprehension and retention? Then come to the Academic Reading Strategies Workshop to learn new skills and techniques to better understand and utilize your class readings!
To sign up, come by the Writing & Reading Center,
call us at 508-999-8710, or arrive at a date & time listed.
- Topical Areas: University Community, Writing and Reading Center
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2:30 PM
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4:30 PM
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Mechanical Engineering MS Thesis Defense by Mr. Bolong Shi
- Location: Textiles Building 101E
- Contact: Mechanical Engineering Department
- Description: Mechanical Engineering MS THESIS DEFENSE by Mr. Bolong Shi
November 22, 2016
2:30 p.m. 4:30 p.m.
Textile Building, Room 101E
TOPIC:
Statistical GD&T Tolerance Verification by Predictive
Confidence Interval
ABSTRACT:
Flatness, surface profile and straightness are three of the most fundamental GD&T (Geometri Dimensioning and Tolerancing) tolerances for evaluating dimensional and geometrical characteristics on critical features of a part. The wildly accepted tolerance verification methods are Least Square Method (LSM) and Minimum Zone Method (MZM). However, the limitations of these methods hindered their application in some important aspects, for example, they are not able to ensure the complete conformance of GD&T tolerances even when a feature passed their verification. This is caused by the paradox of the finite and limited measurement samples and the complete conformance verification of a continuous feature in a tolerance zone. In this work, a Statistical GD&T Tolerance Verification Method (SVM), based on cosine discrete transform (DCT) regression and statistical predictive interval estimation, has been proposed and developed to verify the GD&T tolerances. The core idea of the new method is to predict the variation range of all measured/unmeasured locations with predefined confidence level, i.e. resolving the paradox with statistical inference method. Simulation experiments are designed and the algorithms are developed for validation. The results showed its efficiency and effectiveness. This method can also be extended for verification of other GD&T tolerances with minor modifications.
ADVISOR:
Dr. Wenzhen Huang, Mechanical Engineering Dept.
(whuang@umassd.edu, 508-910-6568)
COMMITTEE MEMBERS:
Dr. Vijaya B. Chalivendra, Mechanical Engineering Dept.
Dr. Jun Li, Mechanical Engineering Dept.
Open to the public.
All MNE students are encouraged to attend.
- Topical Areas: Faculty, General Public, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars
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5:00 PM
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6:00 PM
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Interfaith Spiritual Mindfulness Meditation
- Location: MacLean Campus Center, Reflection Room, Room 233
, 285 Old Westport Road, Dartmouth, MA
- Contact: Athletics
- Description: A opportunity to explore the mystical and meditative traditions. Perfect for those with no spiritual or meditative experience.
All are welcome to attend.
- Topical Areas: Center for Religious and Spiritual Life, University Community, Religious & Spiritual
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Online Teaching and Learning Strategies
- Location: Online
- Contact: CITS Instructional Development
- Description: In this course, we will introduce you to current research and best practices for online teaching as well as showcase examples of successful teaching strategies for the online environment.
Throughout the course you will work both independently and collaboratively with your peers to gain valuable online course transition experience and develop your own strategies for online teaching and learning. As a participant, you will learn both pedagogical aspects of teaching online as well as how to use and incorporate many of the tools available in the myCourses Learning Management System used at UMassD.
The ultimate goal of the course is to have you begin planning, organizing, and building the online course you eventually plan to teach. In addition, this course will introduce you to techniques that will teach you how to self-assess course site design to ensure student ease of access to course content and to facilitate more streamlined student learning and increase retention.
- Topical Areas: Training, Workshop, audience: Faculty, topic: Faculty Development
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12:00 PM
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2:00 PM
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MASTER OF SCIENCE THESIS DEFENSE BY: Steven Brown
- Location: Textiles Building 101E
- Cost: free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: TOPIC: MEASURING DEFLECTION OF A ROAD SURFACE
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Due to an event known as the frost-thaw cycle, roadways in colder climates are susceptible to damage caused by heavy vehicles driving on asphalt supported by soft, water-logged soil. The soft road underbed is unable to properly support the asphalt, and cracks may form leading to further road damage. Civil engineers attempt to prevent this damage by implementing Seasonal Load Restrictions (SLRs) on heavy trafficked roads when weather conditions predict that the soil may become too soft under roads. To assist civil engineers in assessing the accuracy of weather-impacted predictions, a sensor system designed to measure the temperature gradient underneath roadways was developed by a team of graduate students at the University of Massachusetts Dartmouth, under a federal Department of Transportation grant awarded to Dr. Paul Fortier of the College of Engineering Electrical and Computer Engineering Department. During the development stage of this project, the desire arose to directly measure the impact heavy vehicles have on vulnerable roadways.
It is to this end that the development of a sensor capable of measuring roadway deflection was commissioned. By directly measuring the movement of asphalt when a vehicle passes over it, the efficacy of an SLR could be quantified, leading to refinements of the methods used in determining the conditions necessary to warrant an SLR, which can have impact on local travel and commerce. Utilizing micro-electromechanical systems (MEMS) components and low-power microcontrollers allows integration of a deflection sensor into the existing temperature-measuring system with little need for reconfiguration of the prebuilt systems.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Paul Fortier
Committee Members: Dr. Hong Liu and Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Heather J. Miller, Department of Civil Engineering
*For further information, please contact Dr. Paul J. Fortier at 508.999.8544, or via email at pfortier@umassd.edu.
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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