CHAVVA NITHISH

Key Profile Summary – GM Technical Center India (GMTCI)

Detail-oriented CAE Engineer with strong expertise in structural simulation and design validation of BIW and trim components. Specialized in part handling, form and pierce analysis, fatigue and vibration assessments, and container studies. Skilled in interpreting simulation results and delivering design recommendations that enhance durability, manufacturability, and assembly performance in automotive environments.

Core Competencies

• Linear and Non-linear Static Analysis
• Fatigue and Random Vibration Analysis
• GD&T and Tolerance Stack-up Evaluation
• Manufacturing Feasibility and Assembly Ergonomics
• Trim and BIW Structural Assessment
• Design Collaboration with Cross-functional Teams

Software Tools

ANSA, HyperMesh, OptiStruct, Nastran, Abaqus, LS-DYNA, nCode

Key Projects Handled

1. Hood Inner Panel – Part Handling Study

• Assessed structural integrity during handling and transport
• Optimized fixture points to reduce local deformation

2. Fascia and Mounting Brackets – Form and Pierce Study

• Simulated stress distribution during pierce operations
• Suggested material and geometry changes for improved formability

3. Golden Bracket – Fatigue and Random Response

• Performed PSD-based vibration and fatigue life simulations
• Recommended design improvements to enhance durability

4. Toy Tab – Trim Fixation Study

• Evaluated snap-fit strength and rattle performance
• Proposed design changes to improve stiffness and assembly ease

5. Subsystem Packaging – Container Study

• Simulated stacking, tilting, and transport loads
• Optimized container structure for safety and space efficiency

Key Profile Summary

Results-driven CAE Analyst with 2 years of experience at Satyam Venture Engineering Services Satven, specializing in crash, NVH, durability, and static simulations for automotive components. Skilled in meshing, model setup, FMVSS compliance checks, and simulation debugging using ANSA, LS-DYNA, and OptiStruct. Strong track record of delivering accurate and actionable simulation results for interior trims, seats, doors, and structural components.

Core Competencies

• Crash and Safety Analysis FMVSS 207 to 210, 214, 225
• NVH Modeling and Modal or FRF Analysis
• Linear and Non-linear Static Simulations
• Seating System and Trim Integration
• Ball Impact and Rigidity Simulations for Instrument Panel
• CAE Deck Setup, Contact Definitions, and Simulation Debugging
• Test Correlation and Technical Reporting

Software Proficiency

• Pre and Post Processing: ANSA, HyperView, GNS Animator
• Solvers: LS-DYNA, OptiStruct

Key Projects at Satven

1. Instrument Panel and Trim – Crash and Rigidity Analysis

• Meshed instrument panel components and performed FMVSS head impact and ball impact simulations
• Verified thickness, contact definition, and mesh quality
• Tools Used: ANSA, LS-DYNA, OptiStruct

2. Cross Car Beam – NVH and Modal Analysis

• Performed modal and frequency response simulations
• Correlated CAE results with physical test data
• Tools Used: ANSA, OptiStruct, HyperView

3. Seat Assembly – Crash and Strength Analysis

• Simulated FMVSS tests including Seat Belt Pull, Child Anchorage, and Luggage Retention
• Focused on seat structure durability and crash compliance
• Tools Used: ANSA, LS-DYNA, HyperView

4. Door Assemblies – Side Impact Analysis

• Developed FE model for front and rear door systems
• Conducted FMVSS 214 side impact simulations and static load cases
• Tools Used: ANSA, LS-DYNA

5. CAE Deck Debugging and Quality Improvement

• Resolved simulation issues such as negative volumes, penetrations, contact errors
• Improved simulation quality and ensured convergence

• Designing and Analysis of Electric Power weeder with 8 hours battery backup that can work effectively in different soils like clay soil, loamy soil etc.
• Responsibilities: Electric power weeder structure design, Electric motor design suitable for tough soils, Battery design with 8 hours backup.
• Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
• Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
• Analyzed problems and worked with teams to develop solutions.