Atharva Patil

About

Mechanical engineering student at Symbiosis Institute of Technology, Pune, with a minor in Artificial Intelligence & Machine Learning. Focused on CAD, CFD, finite element analysis, and applied machine learning through academic projects and technical research.

Education

• Bachelor of Technology (B.Tech.)
  Symbiosis Institute of Technology, Pune
  Mechanical Engineering · 2023 – 2027

Skills

• Deep Learning <3 months
• Python <3 months
• Machine Learning <3 months
• Classification <3 months
• Feature Engineering <3 months
• Matplotlib <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• Technical Writing <3 months
• Engineering Data Analysis <3 months
• Assembly <3 months
• Stress Analysis <3 months
• FEA <3 months
• CATIA V5 <3 months
• Regression <3 months
• Topology Optimization <3 months
• Computer-Aided Design <3 months
• Hyperparameter Tuning <3 months
• Computational Fluid Dynamics <3 months
• Pressure drop calculation <3 months
• Literature Reviews <3 months

Tools / apps / platforms

• Ansys Fluent <3 months
• ANSYS Mechanical <3 months
• Autodesk AutoCAD <3 months
• Autodesk Fusion 360 <3 months
• OnShape <3 months
• The MathWorks MATLAB <3 months

Projects

• Design of a Solar Powered Mobile Charger
  Simulink

  Designed and simulated a solar-powered charger using a solar PV array and MPPT charge controller achieving an output voltage of 5.028 V.

• Surface Defect Detection in Metal Components using Deep Learning
  EfficientNet-B0, NEU Surface Defect Dataset

  Developed a deep learning model that classified steel surface defects into 6 categories with test accuracy of 95% using the NEU Surface Defect Dataset.

• FSI Simulation on a Boeing 777 Wing
  ANSYS Fluent, Transient Structural, System Coupling

  Performed a two-way Fluid-Structure Interaction (FSI) analysis on a Boeing 777 wing using ANSYS Fluent, Transient Structural and System Coupling to predict aerodynamic loading, structural deformations and induced stresses at cruising velocity.

• Flow Boiling in Microchannels

  Authored a review article discussing the principles, evolution and applications of multiphase microchannel heat exchangers.

• Microchannel Heat Exchangers
  ANSYS Fluent

  Designed a cross-flow type internal microchannel heat exchanger with 208 parallel channels with tapered headers and performed laminar flow pressure drop CFD simulations using ANSYS Fluent to evaluate header performance across inlet velocities of 0.25-0.5 m/s.

• Design of a Solar Powered Mobile Charger
  Simulink

  Designed and simulated a solar-powered charger using a solar PV array and MPPT charge controller achieving an output voltage of 5.028 V.

• Surface Defect Detection in Metal Components using Deep Learning
  EfficientNet-B0, NEU Surface Defect Dataset

  Developed a deep learning model that classified steel surface defects into 6 categories with test accuracy of 95% using the NEU Surface Defect Dataset.

• FSI Simulation on a Boeing 777 Wing
  ANSYS Fluent, Transient Structural, System Coupling

  Performed a two-way Fluid-Structure Interaction (FSI) analysis on a Boeing 777 wing using ANSYS Fluent, Transient Structural and System Coupling to predict aerodynamic loading, structural deformations and induced stresses at cruising velocity.

• Flow Boiling in Microchannels

  Authored a review article discussing the principles, evolution and applications of multiphase microchannel heat exchangers.

• Microchannel Heat Exchangers
  ANSYS Fluent

  Designed a cross-flow type internal microchannel heat exchanger with 208 parallel channels with tapered headers and performed laminar flow pressure drop CFD simulations using ANSYS Fluent to evaluate header performance across inlet velocities of 0.25-0.5 m/s.