1. JONIHE SANDOVAL
Bay Area
661-375-5667* jonihe.sandoval@sjsu.edu
ACHIEVEMENTS
 Gained solid understanding of Computational fluid Dynamics (CFD) in semester’s time frame
 Optimized motorcycle stand mass using ANSYS Mechanical by 5%, results were showcased to
ANSYS representatives and SJSU faculty.
 Detected and monitored bonfire for 30 minutes by designing and building unmanned Aerial Vehicle
(UAV) payload by selecting appropriate sensors required for task
EXPERIENCE
Adv. Finite Element Analysis-Wheel FEA Contact Analysis (Spring 2016)
San Jose State University
 Nonlinear contact analysis was conducted using ANSYS Mechanical in order to determine stresses
and deformations experienced by car wheel due to contact with hard surface
 Standard automobile rim and concrete bump block were modeled using SolidWorks. Geometry was
then imported to ANSYS as IGES file to perform Contact Analysis
 Different materials and angular velocities were analyzed which results demonstrated to be in good
agreement with expected outcomes based on theoretical calculations
Computational Fluid Dynamics – Airfoil Project (Spring 2016)
San Jose State University
 Performed computational fluid dynamics (CFD) analysis using ANSYS Fluent on NACA 0012 2D
airfoil design at various Reynolds numbers
 Purpose was to find optimal lift force by optimizing angle of attack
 Comparison between obtained CFD analysis results against NASA experimental data results was
conducted which concluded in 95% results similarity
Capstone Design - Unmanned Aerial Vehicle (UAV) Project (Fall 2013)
University of California, Merced
 Collaborated with team of four senior Mechanical Engineering students to design, built and validate
inexpensive payload that would detect, locate, and monitor forest fires with high degree of certainty
and reliability
 Student led project which involved presenting project progress multiple times to academic and
industry advisors in order to demonstrate research and achievements accomplished
 UAV payload was tested on man-made bonfire, developed system was able to detect fire within 1
minute and then was able to monitor for 30 minutes.
TECHNICAL SKILLS
 Pro/E  Machining  Microsoft Office Suite
 Matlab  Solid works  Proficient in English and Spanish
 ANSYS  CFD  Troubleshooting and repairing electronics
EDUCATION
Masters of Science in Mechanical Engineering (Fall 2015-Spring 2017)
San Jose State University: San Jose, CA. GPA: 3.04
Bachelors of Science in Mechanical Engineering (Fall 2010-Spring 2014)
University of California, Merced: Merced, CA. GPA: 3.34, Minor: Applied Mathematics.
Relevant Coursework: Adv. Heat Transfer, Adv. Finite Element Method, Adv. Mechanical Engineering
Analysis, Applied Stress Analysis, Computer-Aided Design, CFD for ME, Mechatronics, Aerodynamics,
Fluids Mechanics, Circuit Theory, Mechanics of Materials, Component Design, Thermodynamics,
Numerical Analysis, Vibrations and Controls, Engineering Economic Analysis, Machine Shop.