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Sravan K K Karri

from Dunlap, IL
Age ~40
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Also known as:
Sravan K Karri, Karri Kumar Kiran Sravan, Kiran Kumar Karri Sravan, Kiran Karri Sravan, Sravan Kiran Kumar Karri
Related to:
Sumit Kumar Arigapudi, 44
Connected to:
Custr Karri, 53Saiprashanth N Karri, 30Sarojini D Karri, 55Seetha R Karri, 46Carl R Karrick, 92Cynthia S Karrick, 63Hailey D Karrick, 27Joshua Karrick, 46Michele Karrick, 49Molly E Karrick, 29

Sravan Karri Phones & Addresses

  • Dunlap, IL
  • Peoria, IL

Work

Company: Caterpillar inc. Dec 2009 Position: Senior design and project engineer

Education

Degree: Master of Science, Masters School / High School: Bradley University 2007 to 2009 Specialities: Mechanical Engineering

Skills

Development • Cad/Cam • Industrial Engineering • Ptc Creo • Root Cause Analysis • Matlab • Data Validation • Design Engineering • Data Analysis • Cad • Abaqus • Validation • Engineering • Product Design • Teamcenter • Gd&T • Mechanical Engineering • Geometric Dimensioning • Ms Excel Pivot Tables • Design For Manufacturing • Remote Monitoring • Design • Project Management • Continuous Improvement • Services • Fatigue Analysis • Analysis

Ranks

Certificate: Engineer In Training (Fe/Eit) - Mechanical Engineering

Industries

Mechanical Or Industrial Engineering

Resumes

Resumes

Sravan Karri Photo 1

Senior Design And Project Engineer

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Location:
Peoria, IL
Industry:
Mechanical Or Industrial Engineering
Work:
Caterpillar Inc.
Senior Design and Project Engineer
Education:
Bradley University 2007 - 2009
Master of Science, Masters, Mechanical Engineering P.g. College of Law, Basheerbagh 2005 - 2007
Master of Science, Masters, Mechanical Engineering Acharya Nagarjuna University 2001 - 2005
Bachelor of Engineering, Bachelors, Mechanical Engineering
Skills:
Development
Cad/Cam
Industrial Engineering
Ptc Creo
Root Cause Analysis
Matlab
Data Validation
Design Engineering
Data Analysis
Cad
Abaqus
Validation
Engineering
Product Design
Teamcenter
Gd&T
Mechanical Engineering
Geometric Dimensioning
Ms Excel Pivot Tables
Design For Manufacturing
Remote Monitoring
Design
Project Management
Continuous Improvement
Services
Fatigue Analysis
Analysis
Certifications:
Engineer In Training (Fe/Eit) - Mechanical Engineering

Publications

Us Patents

Method And System For Wear Estimation

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US Patent:
20210123376, Apr 29, 2021
Filed:
Oct 25, 2019
Appl. No.:
16/663774
Inventors:
- Peoria IL, US
Sravan K. KARRI - Dunlap IL, US
Assignee:
Caterpillar Inc. - Peoria IL
International Classification:
F02B 77/08
F02D 41/38
F02D 41/22
Abstract:
A method for estimating wear of at least one component of an internal combustion engine includes receiving sensor information and fuel commands indicative of an amount of fuel supplied to at least one combustion chamber of the internal combustion engine and determining an incremental increase in an amount of wear of at least one component of the internal combustion engine based on at least the sensor information and the fuel commands. The method also includes determining an updated amount of wear based on the incremental increase in the amount of wear, and outputting a notification indicative of the updated amount of wear.

Turbocharger Speed Anomaly Detection

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US Patent:
20170298810, Oct 19, 2017
Filed:
Apr 14, 2016
Appl. No.:
15/098665
Inventors:
- Peoria IL, US
Sravan Karri - Dunlap IL, US
Michael Joseph Campagna - Chillicothe IL, US
Assignee:
Caterpillar Inc. - Peoria IL
International Classification:
F02B 37/12
F02B 37/00
F02B 39/16
F02B 37/12
Abstract:
A process for monitoring turbocharger operation in a machine is disclosed. The machine includes a power source having an intake manifold for supplying the power source with air and a plurality of turbochargers. Each turbocharger includes an air inlet passageway to receive air, a plurality of pressure sensors arranged within the inlet passageway, a compressor configured to pressurize air, an air outlet passageway to direct pressurized air from the compressor to the intake manifold, and an exhaust turbine operably driven by exhaust gas from the power source and coupled to the compressor by a turbine shaft. The process includes monitoring the differential pressure across the air inlet passageway for each turbocharger, comparing the differential pressures for each turbocharger and indicating an anomaly in turbocharger speed when the differential pressure for one turbocharger exceeds the differential pressure for another turbocharger by a threshold amount.
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Sravan K K Karri from Dunlap, IL, age ~40 Get Report