RAKSHITH SRINIVASA

ac0w1a@r.postjobfree.com +1-978-***-**** https://www.linkedin.com/in/rakshithsrinivasa EDUCATION

Master of Science, Mechanical Engineering May 2017 University of Massachusetts, Lowell, MA

Courses: Design of Machine Elements, Cooling of Electronic Equipment, Finite Element Analysis, Design of Experiments Bachelor of Engineering, Mechanical Engineering June 2014 Visvesvaraya Technological University (VTU), Belgaum, India TECHNICAL SKILLS

Software: Solid Edge V19, Ansys V12, Abaqus, Catia V5 Primer, AutoCAD, SOLIDWORKS, Microsoft Office, Autodesk Revit

Machine: Lathes, Mill, Drill Press, CNC, Injection Molding, Extrusion PROJECTS

Capability/RQL Study of Glow Plugs in Assembly Line (Dia 5 and Dia 6) at Bosch Limited, Bangalore, India

Conducted machine capability by taking a sample of 50 glow plugs which were part of a continuous production and concluded that machine capability is a vital tool in determining quality problems and solving them in an industry.

Air Cooling System for Thermal Management of Intel i7-5960x Processor

Designed a thermal management system based on the air cooling to achieve effective cooling of Intel i7-5960x processor.

Conducted parametric calculations for TIM (Thermal Interface Material), heat sink and fan used for the design.

Plots for Temperature vs Location (Resistances) to examine the performance of the cooling system. Analysis of Stress in Trusses Bowstring, Waddell “A” Truss, Warren & Howe

Analysis of stress in trusses to find the best option for assumed load conditions.

Bowstring, Waddell “A”, Warren & Howe were subjected to a distributed load of 200lb/ft over a 200ft long each.

Element considered was beam. Analysis was run for the trusses using Abaqus.

Warren truss, among the four trusses was found to be the best one taking into consideration maximum stress and minimum deflection.

Reliability of Spark Plug using Reliability Engineering Techniques

Calculated Risk Priority Number, tabulated FMEA and calculated MTBF and failure rate.

Reliability of the present system was calculated which was found to be 92.38%.

Steps were taken to create a new system, to which the new Risk Priority Number, FMECA and MTBF was calculated.

Reliability of the new system was calculated which was found to be 94.67%, in turn improving the reliability of the whole engine.

PROFESSIONAL EXPERIENCE

Automobile Servicing and Maintenance Trainee, Geedee Automobile Training Institute of Technology, Coimbatore, India. (May 2013 – July 2013)

Practically studied and worked on variety of diesel and petrol engines.

Dismantling engines for servicing and maintenance.

Identified and rectified faulty parts.

Industrial Trainee (Assembly and Overhaul, Engine division), Hindustan Aeronautics Limited, Bangalore, India (April 2012 - July 2012)

Disassembled and assembled turbine engines such as Artouste III B, Garrett331-5, Dart 533-2, Gnome 1400 IT and Adour 804 E, and studied the parts in detail.

Checked for oil and fuel leaks, vibration, the engine rpm fluctuation of Artouste III B. Trainee, Bosch-Rexorth Centre of competence in Automation Technology, Mysore. India.

(Dec 2011 – Feb 2012)

Trained and conducted numerous experiments on the basic hydraulic and pneumatic machinery

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