Product Design Mechanical Engineering

AVINASH CHANDRASEKARAN

+1-860-***-**** ********@****.*** Avinash Chandrasekaran - LinkedIn Portfolio EDUCATION

Master of Science, Mechanical Engineering North Carolina State University, Raleigh [August 2022-May 2024]

[Engineering Design Optimization; Mechatronics Design; Product Design; Design of Electromechanical Systems; Vibration Analysis] Bachelor of Technology, Mechanical Engineering Christ University, Bangalore[Jul 2016-Jun 2020]

[Kinematics and Dynamics of Machines; Thermal Analysis ; CFD; FEA; Design of Machine Elements; Applied Thermodynamics ] WORK EXPERIENCE

Trainee Engineer [Product Design Visualization] Herman Miller (MillerKnoll), Bangalore [Jan 2021-July 2022]

• Developed custom 2D and 3D product extensions for space planning solutions, integrating smart and automatic behaviors into graphical objects, ensuring accurate Bill of Materials (BOM) and costing for product configurations.

• Applied CAD model rendering tools to visualize,simulate and evaluate product design, enabling data driven design decisions.

• Drafted 2D drawings from AutoCAD models and conducted tolerance analysis, utilized GD&T enhancing design accuracy.

• Worked extensively in object-oriented programming (C++) to create efficient, scalable software solutions for design visualization.

• Harnessed data cursor actions using Python for the automation of repetitive tasks, enhancing design process efficiency by 17%.

• Applied agile development methodologies (Scrum) to manage iterative development cycles, closely working with QA and prod- uct teams to ensure timely feature delivery.

Graduate Research Assistant, [Subsonic Wind Tunnel Lab] NCSU-Raleigh [December 2023-May 2024]

• Performed design calculations and modeled 3D CAD sheet metal models using Solidworks for various stiffeners shapes and sizes.

• Utilized FEA Study in Ansys to understand load distribution for different configurations of stiffeners and joining methods.

• Conducted data-drivenanalysistoselectandintegrateoptimalmetaljoiningprocesses,material selection for sheetmetalpanels.

• Conducted comprehensive axial load testing of stiffeners, both individually and integrated with aluminum sheet, using strain gauges and UTM, collecting data via LabView for testing and validating the design in a laboratory environment. Mechanical Design Engineer Intern LBS Automation Systems, Bangalore [Dec 2019-Mar 2020]

• Performed detailed stress and thermal analysis using FEA tools Hypermesh and ANSYS to identify critical stress points, optimizing thickness configurations to balance strength and weight. Delivered actionable insights that led to a 12% reduce in failure rate.

• Performed CFD analysis to understand heat distribution within the hydraulic actuation system to analyze performance and integration, emphasizing reliability and safety within the overall component architecture.

• Optimized the design of horizontal baling machine to reduce material usage and cost while maintaining structural strength.

• Conducted root cause analysis of recurring issues, leading to a 8% improvement in overall compliance to QMS. PROJECTS

Range Extended (Hybrid) Electric Vehicle (SAE-REEV) CATIA,Solidworks, Python,C++,Ansys,MS Project

• Led a 25-member team in the successful design, development, and Manufacturing of a series Hybrid Electric Vehicle (HEV), overseeing all phases from initial concept to final testing and validation.

• Led the design and crash analysis of critical vehicle components, using advanced CAD (CATIA and Solidworks) and FEA tools to ensure structural integrity and compliance with SAE and ASME regualtory and safety standards.

• Managed the complete project lifecycle, including Planning, resource allocation, vendor coordination and team collaboration, ensuring on-time delivery of all project milestones in collaboration with General Motors.

• Programmed and integrated Motor Control Modules (MCM) into the vehicle’s electrical architecture, troublshooting electrical circuit improving system efficiency and contributing to the overall performance optimization of the hybrid powertrain. Wearable and Real-time Kinematics System to analyze joint dynamics Raspberry Pi, CREO, IMUs, OpenSim, Python, MATLAB

• Designed and developed a low-cost, wearable motion capture system using IMUs to estimate joint kinematics in real time, en- abling motion capture outside traditional lab environments for applications in biomechanics and rehabilitation.

• Modeled and 3D-printed a custom packaging to integrate PCBs and other electronic components and wiring.

• Utilized a musculoskeletal model and inverse kinematics solver fromOpenSimtocomputejointanglesandvelocitiesinreal-time, enabling scalable, off-the-shelf system assembly with flexible software configurations for body segment tracking and analysis.

• Developed a recurrent neural network-based activity classifier for precise motion data activity identification. Automation of Sorting Conveyor System RSLogix,Components Connected Workbench,CAN,Python, Solidworks

• Designed and implementated a PLC-based component sorting system using Allen Bradley Micro 850 PLC, enhancing operational efficiency through precise control of conveyor systems, sensors, and actuators.

• Programmed ladder logic using RSLogix, facilitating modbus communication between robotic arms and the PLC for part handling enabling synchronized operation and real-time data exchange for enhanced system responsiveness and reliability.

• Integrated photoelectric and inductive proximity sensors on custom modelled mounts significantly improving sensor accuracy.

• Designed and prototyped mechanical models to test and validate automation processes, ensuring robust system performance. SKILLS

Design and Analysis Tools CREO, CATIA V5, Solidworks, ANSYS, NX CAD, AutoCAD, GD&T,COMSOL, BOM Technical Softwares and Programming Microsoft Office, RS logix,Python, C/C++, Matlab,Simulink, LABview, Tableau, ROS,MySQL Others Rapid Prototyping, FMEA, PLC, Thermal Analysis, Six Sigma,8D Principles, Agile

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