Ashutosh Roy

About Ashutosh Roy

Overall Research Background:My research focuses on Computational Solid Mechanics with a specialization in Tribology. This focuses on computational methods to analyze contact evolution in micro-asperity-based rough surfaces with materials like metal, rubber, and skin. This is a contribution towards understanding microscopic contact mechanics for enhanced design at the macroscopic level for various applications.Current Work: Design and development of contact Interfaces for next-gen electrical connectors using tribology principles and predictive models.PhD Thesis:An effort to understand the underlying biomechanics of complex contact interactions involving human skin with variations of physiological and morphological characteristics due to humidity, age, location, etc. I have developed algorithms to determine the directionality of rough surfaces or skin tension lines using statistical tools.Experience:•I have worked as an Intern CAE analyst with Innovative Numerics in the design and development phase of a camera product of Rylo, Inc.•I have worked as a Graduate Research Assistant with the University of Cincinnati Simulation Center on a Proctor & Gamble-funded project. My work involves handling experimental datasets, Non-Linear Material modeling, using user subroutines, Finite Element Analysis (FEA), and Automating scripts for Family Care Projects.• I have experience with Machine Learning projects for complex systems. This involves data classification from images and learning models to determine optimum operating conditions to generate surface roughness.Publication:1. Anisotropy Characterization using Abbott-Firestone curves, ASME\'s Journal of Tribology.2. Testing the validity of Greenwood and Tripp\'s Sum Surface Assumption for Elastic-Plastic Contact, ASME\'s Journal of Tribology. A Non-invasive Computational Method to Determine the Directionality of Skin Tension Lines, STMP4. Fractal Surface-Based Modeling to Study the Role of Morphology and Physiology in Human Skin Friction, STMPProfessional Service - STLE TLT, Holm and various tribology journalsTECHNICAL SKILLS:• Cad tools: Catia, Solidworks, Autocad• Simulation software: Abaqus, Ansys• Languages: Matlab, Fortran, C, Python• Parallelizing tools: MPI, OpenMP• Preprocessing tools: Meshmixer, Hypermesh, Meshlab• Material Models: Plasticity, Hyperelasticity, Damage mechanics• Artificial Intelligence: Neural Network-Based Algorithms, Self-Organizing Methods• OS: Windows, Linux• Miscellaneous: LATEX, Microsoft OfficeContact: r••••@mail.uc.edu

Experience

1. Subject Matter Expert, Contact Physics & Tribology

   Molex

   Apr 2023 — Present · Rochester Hills, MI, US

   Project Leader for Technology Development working with global teams to deliver next generation electrical connectors- Using solid mechanics with tribology/ contact physics principles and predictive modeling to design separable interfaces with the right shape, material, lubrication, etc to meet performance requirements- Leading failure analysis, owning technology roadmaps and using analytics to create and sustain electrical contacts.

Education

• University of Cincinnati

  Doctor of Philosophy - PhD, Mechanical Engineering

  2019

• Savitribai Phule Pune University

  Bachelor of Engineering (B.Eng.), Mechanical Engineering

  2012 — 2016

• University of Cincinnati

  Master of Science (M.S.), Mechanical Engineering

  2016 — 2019

Skills

• Writing
• Microsoft Word
• Abaqus
• Hypermesh
• Python
• Catia
• Matlab
• Project Management
• Technology Management
• Microsoft Office
• Research and Development (R&D)
• Microsoft Powerpoint
• Social Media
• High Performance Computing (Hpc)
• Social Networking
• Management
• Microsoft Excel
• Powerpoint
• Robotics
• Mastercam
• Lean Six Sigma
• Leadership
• Public Speaking
• Ansys
• Fortran
• C