Karan Ganjigatti

1.Developed CFD methodology to evaluate under hood cooling package performance for Volvo and Mack trucks 2. CFD methodology for better thermal management of BEV trucks. 3.Turbulence modelling including k- omega and DES for accuracy and fast turn around of results. 4.Actively involved with test engineers to identify gaps in current methodology and devise plans for enhancing existing methodology. 5.Proficient in leveraging Linux clusters for computational tasks, optimizing job submissions across multi thread nodes to achieve expedited run times.

1.Design and Development of diesel engine after treatment system architecture confirming to the BS6, BS6 phase 2 and Euro 7 norms for commercial vehicles like Daimler, Volvo, Navistar, Ashok Leyland, Tata Motors and Mahindra. 2. Formulation of DVP&R for design validation of the after-treatment systems through CAE simulations and validation tests with prototypes 3. Responsible for risk analysis, engineering gate review clearance and having detailed Engineering sign off with customer. 4. VAVE idea generation and implementation after thorough evaluation by simulation methods 5.Multiphase CFD analysis to predict Ammonia uniformity over substrates and to predict likely regions of deposit formation. 6. New mixer concepts for better mixing of urea and its further optimization. Patent applied for a new type of mixer for BS 6.2 LV project. Patent No. CA 10674,10677 and 10678 7.Development of entirely new mixer for CTOH truck application 8.Development of a common mixer for two different CV applications hence leading to huge cost benefits. 9.Correlation studies between CFD and test bench and also improvement in CFD methodologies based on results obtained. 10.Prediction of pressure drop in the entire system 11.Conjugate heat transfer simulation to predict skin temperature over the entire system 12. Building Java macros to help automate the process as much as possible to decrease time required for CFD simulation. 13. Building parametric models of mixers to decrease the lead team required for mixer concepts. 14.Development of new testing methodology for DPF blocking.

Numerical simulation of magnus instability of fin stabilised Artillery Rocket 1. CFD analysis using Ansys Fluent to predict drag and lift forces and planer and wrapped around fin rocket 2. Predicting magnus instability force that was generated in rocket for different mach numbers 3. C+ code to predict skin temperature of rocket at different altitudes and at different mach numbers