Dalton Stein

  • Ph.D. Candidate in Mechanical Engineering and Applied Mechanics
  • Department of Mechanical, Industrial and Systems Engineering
  • Email: daltonstein98@uri.edu
  • Office Location: 270 Facitelli Center for Advanced Engineering
  • Website

Research

Conceptual development and experimental implementation of multivariate data analysis algorithms for the purpose of modal parameter identification and structural health monitoring in mechanical systems.

Education

B.S. in Mechanical Engineering, Summa Cum Laude.
The University of Rhode Island, Kingston Campus, September 2016 – May 2020.

Industrial Experience

Electro Standards Laboratory, Cranston RI
Position: Mechanical Design Engineer. Duration: May–September 2020
Production: Designed and CNC machined enclosures for switching, data acquisition, and control products. Constructed detailed drawings for quality assurance inspection and cable management assemblage.
R&D: Mechanical design and heat transfer analysis of energy storage cabinets containing Lithium-ion Super Capacitors.

Gerber Technology, Tolland CT
Position: Summer Mechanical Engineering Internship. Duration: June–August 2019
Coordinated with a senior principal engineer on a solution to prevent overlay plastic film from jamming on an automated cutting table.
Assisted in the design and analysis of a mechanism to apply constant tension on the film; ultimately pulling it over the jam location. Proposed and prototyped an electrical approach using a current limiting circuit with current sense feedback using shunt resistor.

Mechanical Skills

• CAD (SolidWorks & Siemens NX)
• Finite Element Methods (Abaqus, LS Dyna)
• CNC Programming, Milling, and Lathe operation.
• 3D Printing and G-Code Modification.

Electrical Skills

• Technician level digital and analog circuit design for prototype instrumentation. Strong familiarity with oscilloscopes, multimeters, and other diagnostic equipment.
• Control and data acquisition applications using Atmel AVR architecture. Applications Interface with EEPROMs, actuators, and various digital sensors using communication protocols (Serial, SPI, I2C).

Softwar Skills

Python (Intermediate), MATLAB/SIMULINK (Proficient), C (Intermediate). Comfortable in Linux and Windows environments.