Prathamesh Korgaonkar Email & Phone Number

Evanston, Il, Us

Evanston, Illinois, United States

Focus Areas: Advanced Manufacturing and Machine LearningThesis Topic: "𝗙𝗲𝗮𝘁𝘂𝗿𝗲-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗣𝗕𝗙 𝗣𝗿𝗶𝗻𝘁𝗲𝗱 𝗣𝗮𝗿𝘁𝘀 𝗨𝘀𝗶𝗻𝗴 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹."- Conducted cutting-edge research at the intersection of Advanced Manufacturing and Machine Learning to enhance the prediction and optimization of part density in metal additive manufacturing.- Performed extensive experiments using the DMG MORI Lasertec 12 SLM machine, optimizing critical process parameters such as laser power, scan speed, and hatch spacing to achieve superior part properties.- Developed and evaluated predictive machine learning models, leveraging data-driven insights to identify optimal manufacturing settings.- Applied Design of Experiments (DOE) methodology to systematically explore and validate parameter combinations for improved part density and quality.Keywords:Metal Additive Manufacturing, Selective Laser Melting (SLM), DMG MORI Lasertec 12, Machine Learning, Design of Experiments (DOE), Predictive Modeling, Process Optimization, Advanced Manufacturing, Laser Parameters, Material Science

Davis, California, United States

Key accomplishments include:- Developed a systematic workflow for the design of a powder delivery system for a new generation 3D printing machine using Creo Parametric and Ansys, resulting in $50k savings per machine.- Achieved an 18% reduction in production line downtime through the implementation of efficient design methodologies and rapid prototyping techniques during the project lifecycle.- Conducted comprehensive Design of Experiments to optimize system performance, leading to improved reliability and efficiency in additive manufacturing processes.- Collaborated with cross-functional teams to integrate advanced manufacturing technologies, enhancing overall project outcomes and fostering innovation within the engineering department.Skills: Powder Delivery System Design, Additive Manufacturing, CAD Software (Creo Parametric, Ansys), Design of Experiments, Rapid Prototyping

Pune, Maharashtra, India

Key accomplishments include:- Spearheaded a Kaizen workshop that integrated Navisworks and CET Maestro with project management tools like Jira and SAP ERP, streamlining warehouse modeling processes and achieving a 30% reduction in product transportation time for Amazon and Walmart warehouse projects.- Optimized material flow layouts by evaluating simulation tools and implementing lean manufacturing principles and supply chain optimization strategies, resulting in a 15% reduction in handling time and a 20% improvement in operational efficiency.- Managed two concurrent Amazon warehouse automation projects, collaborating with North American engineering teams to design and optimize conveyor system layouts, ensuring seamless implementation and improved throughput.Employed Root Cause Analysis to address inefficiencies in conveyor guide rail systems, reducing order processing redundancies and enhancing overall system reliability.Skills: Warehouse Automation, Lean Manufacturing, Process Optimization, Project Management (Jira, SAP ERP, Navisworks, CET Maestro), Root Cause Analysis, Supply Chain Optimization, Conveyor System Desig

Pune, Maharashtra, India

Key accomplishments include:- Applied Computational Fluid Dynamics (CFD) to analyze velocity distribution in hydraulic systems, eliminating installation errors for flow meters, and conducted advanced data analysis using LabVIEW and Python.- Drafted and modeled valve designs in SolidWorks adhering to ISO 4411:2008 standards, resulting in a 60% performance improvement for hydraulic systems.- Co-authored and published a 48-page report and two conference research papers in well-recognized Elsevier Scopus Index journals, showcasing innovative research findings in hydraulic system optimization.Skills: Computational Fluid Dynamics (CFD), Valve Design, Hydraulic Systems, SolidWorks, ISO Standards Compliance, Data Analysis (Python, LabVIEW), Research Writing

Pune, Maharashtra, India

Key accomplishments include:- Directed a diverse team of 50 design engineers to develop high-performance racing cars in a university workshop, conducting design reviews, managing strict deadlines, and securing sponsorships with minimal guidance.- Implemented Finite Element Analysis (FEA) with HyperMesh and Rapid Prototyping (polymer 3D printing) to simulate and test vehicle components, achieving an optimized weight-to-strength ratio and improving brake performance metrics by 18%.- Played a pivotal role in earning qualification for Formula Student Germany, the largest Formula Student event, and secured $30K in university funding to support team activities.Skills: Leadership, Vehicle Design, Finite Element Analysis (FEA), Rapid Prototyping, Sponsorship Management, Design Reviews, High-Performance Automotive Engineering

Master Of Science, Mechanical Engineering, 3.8/4

Activities and Societies: POMwear- (University funded startup), Indian Graduate Student Association (IGGSA), Teaching Assistant- Theory.

Bachelor Of Engineering, Mechanical Engineering, 3.6/4

Activities and Societies: Team Lead - Formula Student Team (University Club), Volunteered in Blood Donation campaignCoursework.

Diploma, Mechanical Engineering, A+ With Destinction

In the last year of my diploma, I got 92.75 % and stood 5th in the mechanical engineering department. I got a patent for my final year.