Director of Business Development at Convergent Science Inc
San Antonio, Texas Area
- Current
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- Director of Business Development, Co-owner at Convergent Science Inc
- Past
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- Senior Account Manager at ANSYS Inc
- Consulting Engineer at Fluent Inc
- Engineer at Honeywell Inc
- Education
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- University of Wisconsin-Madison
- Texas A&M University
- Texas A&M University
- Recommended
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2 people have recommended Daniel - Connections
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68
connections
- Industry
- Automotive
- Websites
Daniel Lee’s Experience
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Director of Business Development, Co-owner
Convergent Science Inc
(Automotive industry)
February 2008 — Present (1 year 6 months)
Convergent Science Inc. (CSI) specializes in the field of computational fluid dynamics (CFD). CSI has developed the CONVERGE code to make Navier Stokes CFD analysis fast and accurate.
With CONVERGE, a high quality mesh is generated automatically at runtime, thus eliminating all user meshing time (even for moving body applications). This translates into huge cost savings for CONVERGE users:
1) Eliminates all engineering costs associated with meshing
2) Eliminates all fees associated with meshing software
With the meshing bottleneck completely eliminated, what took days or weeks with traditional CFD tools now takes hours or minutes with CONVERGE.
There are many accuracy benefits of CONVERGE as well, including using a stationary and orthogonal mesh in the interior of the domain where the grid density automatically varies to resolve gradients using adaptive mesh refinement (AMR). With CONVERGE, obtaining grid independent results has never been easier and faster.
CONVERGE is loaded with advanced physical models for phenomena such as turbulence, spray and combustion.
Historically, CSI has focused on internal combustion engine design and analysis. However, we are constantly extending our technology into new application areas including Aerospace, gas turbines, external aerodynamics and much more. The benefits of CONVERGE extend to almost any application. -
Senior Account Manager
ANSYS Inc
(Public Company; 501-1000 employees; Aviation & Aerospace industry)
January 2002 — March 2008 (6 years 3 months)
Manage multiple and diverse Aerospace and Department of Defense accounts. The main objective of this position is to efficiently and effectively meet client computational fluid dynamics/simulation needs including training, consulting and software. This involves meeting with engineers and upper level management, presenting solutions to identified needs, and negotiating contracts. Performance targets relate to the retention and growth of existing customers and identification and expansion to new customers.
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Consulting Engineer
Fluent Inc
(Public Company; 501-1000 employees; Aviation & Aerospace industry)
December 1999 — January 2002 (2 years 2 months)
Responsible for assisting clients in the use of Fluent CFD software to design and analyze Aerospace and Marine thermal/fluid systems. Specialized in the simulation of the two phase turbulent reacting flows found within propulsion systems such as gas turbine engines. Assisted development team in the incorporation of advanced spray and combustion models applicable to internal combustion engines. Responsible for training customers in both fundamentals and advanced topics in computational fluid dynamics (turbulence, multiphase flows, user defined subroutines).
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Engineer
Honeywell Inc
(Public Company; 1001-5000 employees; Renewables & Environment industry)
June 1994 — June 1996 (2 years 1 month)
Engineered energy and controls retrofits for commercial buildings and power plants. In charge of overseeing the complete process from the design layout stage to installation. Responsibilities included designing the system layout, selecting equipment, and generating system software.
Daniel Lee’s Education
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University of Wisconsin-Madison
Ph.D. , Mechanical Engineering , 1996 — 1999
Mathematics Minor
Research Assistant, Engine Research Center
Thesis: Incorporating Advanced Combustion and Turbulence Models to Investigate Power Density in IC Engines
Used the KIVA CFD code to simulate diesel engines in attempt to achieve maximum power density with minimal pollution formation. Incorporated advanced PDF combustion models and LES turbulence models to accurately model the diesel combustion process. -
Texas A&M University
MS , Mechanical Engineering , 1992 — 1994
GPA: 3.7/4.0
Research Topics:
Experimentally investigated selective non-catalytic NO reduction using FTIR spectrometer and chemiluminesence NO analyzer.
Experimentally investigated the heat transfer properties of a prototypical high efficiency gas burning nozzle. Assisted in assembling test rig, running experiments and analyzing data. -
Texas A&M University
BS , Mechanical Engineering , 1988 — 1992
GPA: 3.7/4.0
Additional Information
Daniel Lee’s Websites:
Daniel Lee’s Groups:
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Computational Fluid Dynamics Group -
Engine Research Center (ERC) Alumni
Daniel Lee’s Honors:
Publications
Theoretical Investigation of Autoignition of Combustible Gas Mixtures in Rapid Compression Machines, Shi, S. and Lee, D., Presented at IC Engine Division of ASME 2002 Fall Technical Conference, September 8-11, 2002. New Orleans, Louisiana
PDF Combustion Modeling of Diesel Engines, Lee, D. and Rutland, C., Combustion Science and Technology, 174(10):19-54, 2002
Modeling Diesel Engines using LES Turbulence and PDF Combustion Models, SAE Technical Paper 2002-01-2779
Three-Dimensional Flow and Droplet Impingement Calculations on an Unstructured Mesh, Schowalter, D. and Lee, D., Presented at 2001 ASME Fluids Engineering Conference, New Orleans
Numerical Simulations of Internal Flow in a Simplex Atomizer, Steinthorsson, E. and Lee, D., Eighth International Conference on Liquid Atomization and Spray Systems, July 2000
Multidimensional Modeling of a Six Mode Diesel Test Cycle using a PDF Combustion Model, Lee, D. and Rutland, C., SAE Technical Paper 2000-01-0585
Daniel Lee’s Contact Settings
Interested In:
- career opportunities
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- job inquiries
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