ABOUT US

We really, really like engineering and technology

 

Objective

Yanxiki was founded with the sole objective of using our collective expertise to solve difficult and challenging engineering problems. So far we have managed to work with clients in the field of numerical simulation for modeling different types of flows and physics. We are the most excited when challenged with problems which require us to collectively use our heads (and bang them, at times) to come up with innovative solutions. We have and would like to continue using different tools (mathematical modeling, numerical simulation, machine learning) to solve such problems. We would like to work with global R&D teams to jointly solve intractable problems, have fun doing so, and (hopefully) publish articles and papers while doing so.

When we don’t have the needed expertise within our team, we are more than happy to collaborate with experts from other teams. We have a healthy ecosystem of expert consultants in different domains and fields which we regularly work with as and when needed.

 

Core team


 
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Multidisciplinary R&D | Numerical simulation | Design optimization | AI/ML

Anurag started his career with Fluent (now Ansys) as an external aerodynamics consultant working with different automotive sports teams. He then worked as an meshing algorithms developer for TGrid and GAMBIT. In 2003, he founded Tetrahedrix Engineering, an engineering services company which provided software development consultancy to various global clients. In 2009 he co-founded Quadio Devices, a medical devices company which developed high-tech hearing aid technology for the developing markets, where he led the technology team and successfully delivered multiple hardware and software products to the market. He currently provides industrial R&D consultancy to multiple global teams using CFD and ML tools.


Education


Expertise

  • Aerospace systems (aerodynamics, propulsion)

  • CFD and numerical modeling

  • Algorithm optimization and programming (Python, C++, Matlab)

  • Computational geometry |mesh generation | geometric modeling

  • Machine learning and artificial intelligence


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Systems modeling | Non-linear dynamics | Controls | Combustion modeling

AKN has more than 25 years of experience in the aerospace and aviation sector in academic and commercial R&D, teaching, industrial consultancy, and project and personnel management. He has an extensive teaching experience as a faculty member at IIT Bombay (aerospace engineering, where he received the excellence in teaching award in 2000), California Institute of Technology (aeronautics), and research professor at KAIST (aerospace systems). His research on panic button algorithm was featured as one of the top-four scientific works in India in 2005. He has authored two textbooks and published more than 100 papers in refereed journals and conferences.


Education


Expertise

  • Aerospace systems modeling, simulation and design

  • Flight dynamics and controls

  • Propulsion and combustion systems

  • Non-linear dynamics and bifurcations


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Combustion modeling | Turbulence modeling | Design optimization | CFD

Rajat is an expert in numerical modeling of complex thermo-mechanical systems in the energy industry. He is the founder and CEO of FMCT Consulting, LLC, based in USA. He has worked on many projects involving intricate heat transfer systems involving modeling of combustion, radiation, conjugate heat transfer, ,multi-species reacting flows, and multi-phase and discrete-phase fluid flows. He currently works as an external consultant and advisor to Yanxiki for projects involving such physical models.


Education


Expertise

  • Combustion modeling

  • Radiation modeling

  • Conjugate heat transfer and turbulence modeling

  • Multi-species, multi-phase and discrete-phase flows


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Engine health monitoring | Aero-thermodynamics | Propulsion system design

Education

  • B.Tech., M.Tech. and PhD in Aerospace engineering (IIT Bombay)


Expertise

  • Aero-thermodynamics and preliminary design of air-breathing propulsion systems

  • Thermodynamic modeling and digital simulation of aero engines for estimating steady state and dynamic performance

  • Engine operability

  • Engine test results analysis

  • Engine health monitoring

  • Aircraft performance estimation and mission analysis

  • System synthesis - conceptual aircraft sizing and optimum engine cycle selection

  • Preliminary engine gas flow path layout and weight estimate