News & Press Releases

Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs via Zoom on Fridays from 2-3pm for help filing your FAFSA and learning more about financial aid. https://umassd.zoom.us/j/96235213250?pwd=ZE1FSWtNek05dnNEQWVqdnZyNHVDUT09 Contact Mark Yanni myanni@umassd.edu

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Mechanical Engineering MS Project Presentation by Mr. Noah Whitney DATE: May 3, 2024 TIME: 3:00 P.M. - 5:00 P.M. LOCATION: Zoom link: https://umassd.zoom.us/j/93989772725?pwd=Ulk5ME9KYnpvMGhBU2toZ1dKeHE3dz09 (Contact scunha@umassd.edu for Meeting ID# and Passcode) TOPIC: Ion Beam Figuring Prototype for Guiding the Polishing Process of Optical Substrates ABSTRACT: For high efficiency optical components, substrate surface smoothness is critical. This project aims to create a polishing method for substrates that can be performed at Plymouth Grating Laboratory, for the purpose of creating ultra-high efficiency diffraction gratings. Traditional polishing methods, such as pitch polishing and lap polishing, use an abrasive slurry to mechanically smooth substrate surfaces. This method can be quite expensive and often fails for large scale optics. Therefore, a non-mechanical polishing technique called Ion Beam Figuring is proposed as an alternative method for substrate polishing. This method can be achieved on site at Plymouth Grating Laboratory while simultaneously reducing cost and increasing the likelihood of a successful polish. To achieve this method of polishing, a framework is developed for experimentally profiling a radio frequency ion source, via broadband spectroscopy. Next, a prototype 1-dimensional Ion Beam Figuring method is created using a custom MATLAB program. This program yields a dwell time map, which guides the figuring process by determining the position and time for which the ion beam etches the substrate. This prototype Ion Beam Figuring program will be based on a Fourier transform deconvolution method. Once this program was created, initial validations were performed using test case surface profiles to ensure the program properly computes parameters used in the IBF process. This project provides a foundation to produce large polished substrates with higher reliability and a significantly decreased cost. This is a key step in creating high efficiency meter class diffraction gratings to be used in some of the highest power laser systems in the world. These laser systems can be used in fusion, biomedical, defense, and semiconductor industries. ADVISOR: - Dr. Jun Li, Assistant Professor, Department of Mechanical Engineering, UMass Dartmouth COMMITTEE MEMBERS: - Dr. Wenzhen Huang, Professor, Department of Mechanical Engineering, UMass Dartmouth - Dr. Alfa Heryudono, Associate Professor, Department of Mathematics, UMass Dartmouth Open to the public. All MNE students are encouraged to attend. For more information, please contact Dr. Jun Li (jun.li@umassd.edu).

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SMAST East 101-103 and Via Zoom Abstract: A baseline assessment of crustacean has many applications, it can used to quantify organisms for comparisons throughout years, as a pilot study to determine best practices for abundance surveys, or to explore species distribution and aggregation. Windfarms and climate change have the potential to be major drivers of environmental change on the continental shelf. Estimating the absolute abundance, distribution, and preferences of these species will allow researchers, years from now, to quantify the environmental changes and discern population patterns. This baseline assessment discerned that hermit crabs were the most common crustacea in the survey, Atlantic rock crabs had the largest biomass, crustaceans aggregate at a wide range of distances in similar locations over time, and temperature, competitors, and sediment have the biggest influence in distribution.

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Mechanical Engineering MS Thesis Defense by Ms. Stephanie DeCarvalho DATE: May 10, 2024 TIME: 1:00 P.M. - 3:00 P.M. LOCATION: ZOOM link: https://umassd.zoom.us/j/91399406281?pwd=aUNpWS8ybFQ5eFNIWlVmRGNjbmlaZz09 (Contact scunha@umassd.edu for Meeting ID and PassCode) TOPIC: Computational Modeling of Materials and Structures for Biomedical Applications: from 3D Printed Implants to Tissue Growth ABSTRACT: Computational modeling has been increasingly used to aid and improve engineering design, fabrication, and manufacturing. In the biomedical field, scientists and clinicians could use computational models to better understand biological phenomena and develop more precise treatment strategies. This thesis employs computational modeling of materials and structures to study two examples in biomedical applications: the development of a patient-specific additively manufactured knee implant and the prediction of an embryonic chick in its first stages of growth. Additive manufacturing (AM) has emerged as an innovative way of manufacturing products of complicated and customized geometries. Bioengineering has a special interest in AM as the possibility of creating patient specific implants that can help increase satisfaction and comfort with procedures. This study explores the use of patient data in combination with finite element modeling and analysis to evaluate the performance of an AM knee implant. The approach is demonstrated on a distal femur replacement for a 50-year-old male patient from the open-access Natural Knee Data. The performance of the implant is influenced by the printing process parameters that are used to print the part. The results show that build orientations have a significant impact on both shape distortions and residual stresses. Understanding the developmental growth from a single cell into a more complex multicellular structure contributes to topics such as tissue engineering and growth defects as well as developing individual treatments. In combination with experimental results, computational analysis can increase the understanding of the behavior of organisms. Morphomechanics are used to create a computational model to simulate the tissue growth in the embryonic chick during the early stages of its development. As the chick embryo develops, the behavior and positioning of the embryo is affected by the membrane in which it develops. The effects of the growth and its surroundings result in a series of coupled bending and twisting of the embryonic body. Using computational modeling in personalized medical implants and developmental biology, this study contributes to the goals of advancing precision health initiatives. Patient-specific implants that are created to be a perfect fit would increase the probability of more patients recovering with diminished pain, increased mobility, and an improvement in their quality of life. The deformation and behavior of biological development supports the research of quantifying health conditions that may result from environmental, developmental, or genetic influences. Understanding these factors supports the advancement of preventative medical research to preserve the health of patients. ADVISOR: - Dr. Jun Li, Assistant Professor of Mechanical Engineering, College of Engineering, UMass Dartmouth COMMITTEE MEMBERS: - Dr. Wenzhen Huang, Professor of Mechanical Engineering, College of Engineering, UMass Dartmouth - Dr. Alfa Heryudono, Associate Professor of Department of Mathematics, UMass Dartmouth Open to the public. All MNE students are encouraged to attend. For more information, please contact Dr. Jun Li (jun.li@umassd.edu).

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Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs via Zoom on Fridays from 2-3pm for help filing your FAFSA and learning more about financial aid. https://umassd.zoom.us/j/96235213250?pwd=ZE1FSWtNek05dnNEQWVqdnZyNHVDUT09 Contact Mark Yanni myanni@umassd.edu

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UMass Dartmouth celebrates African American, Latino, Asian and Native American graduates of color. 10:00 A.M. to 1:00 P.M. Marketplace Contact: Donna Moore, dmoore@umassd.edu or 508-999-9222 Sponsored by the Frederick Douglass Unity House & BH4S

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