Nagaraju Pashikanti

Experience

• 

  Bharat Heavy Electricals Limited

  Jun 2016 - Jun 2016

  Student Internship

  • Developed an in-depth understanding of turbine blade manufacturing processes: casting, machining, and surface treatment techniques• Supported turbine blade design process by collaborating with the engineering team, assisting in CAD modeling and analysis

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  Gokaraju Rangaraju Institute of Engineering and Technology

  Oct 2016 - Apr 2017

  Bachelor Thesis

  • Designed a functional prototype in Catia V5, incorporating all components into a compact and efficient design• Static structural FE simulations and fatigue analysis on Spot- welder design in ANSYS under dynamic loading conditions• Facilitated material testing and fabricated a spot-welding machine to enhance production efficiency

• 

  A.V.R Tecnosoft Solutions PVT. LTD.

  Jul 2017 - Aug 2018

  Design Engineer

  • Designed individual CAD models of parts , assemblies, and system components• Collaborated with various departments and customers to communicate design concepts, gather feedback, and incorporate necessary changes• Generated production-friendly technical documents, including detailed drawings, bills of materials, and assembly instructions• Conducted analysis of site data to inform design decisions and ensure optimal performance of solar panel mounting systems

• 

  Paderborn University

  Jun 2020 - May 2021

  Research Assistant

  • Designed CAD model of Selective Laser Sintering (SLS) camera Housing using SolidWorks• Improved the failure detection accuracy by utilizing Super Annotate• 3D printed CAD models to examine the influence of powder flaws• Evaluated the impact of powder failures on part properties

• 

  Universität Paderborn - Paderborn University

  Mar 2022 - Aug 2022

  Master Thesis

  • Utilized SolidWorks to design and optimize a CAD model of a Mounting Brackets• Investigated the powder flaw formation in the laser-sintering machine by varying process parametersEnhanced the quality of 3D printing for low-flow powders by optimizing the LS process• Conducted tests on PA2200 powder and used Python for in-depth data analysis to identify key factors contributing to powder flaws• Enhanced the quality of 3D printing for low-flowable powders by optimizing the LS process Show less