Recruitment Specialist at TekPillar
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CFD Modeler (1-3 yrs)
We are seeking talented CFD Modelers who are passionate about automotive engineering and possess an expert-level understanding of ANSA for fluid dynamics and thermal system modeling. As a valued member of our team, you will play a pivotal role in advancing automotive technology by utilizing your specialized skills to develop and refine simulations for some of the most critical components in vehicle design. This is an exciting opportunity to work on cutting-edge projects that push the boundaries of automotive engineering.
Job Role: CFD Modeler
Experience: 1-2 years
Location: Chennai
Qualification: B.E / B.Tech in Automobile or Mechanical Engineering
Key Skills:
- ANSA CFD Modeling
- Thermal System Modeling
- CAD Cleanup & Meshing
- Fluid Dynamics & Heat Transfer
Key Responsibilities:
- Hands-on experience with ANSA to perform high-quality CFD modeling. Proficiency in mesh generation, geometry preparation, and simulation setups is essential.
- Responsible for modeling under-hood thermal systems, focusing on heat transfer simulations for components such as radiators, hoses, and exhaust systems.
- Expertise in modeling rubber and plastic components that are thermally sensitive, ensuring they are accurately represented within the system.
- Perform CAD cleanup, stitching, and meshing of extracted surfaces (outer and inner) for simulation. This includes refining mesh, especially for thermally sensitive regions.
- Manage part structures within ANSA, ensuring proper integration into the overall model, following design specifications.
- Take accountability for delivering high-quality models within prescribed timelines. Time management, attention to detail, and meeting deadlines are essential.
- Collaborate with design, engineering, and simulation teams to track progress, resolve issues, and incorporate feedback into model development.
- Provide regular updates on model progress, identify potential issues, and offer solutions. Report to senior team members and assist in resolving modeling challenges.