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Role: Powertrain NVH CAE Simulation & Evaluation.
Responsibilities:
.Prepare Powertrain FE model using Hypermesh/SimLab: Structural & Acoustics meshing, connection, assembly, constraints, load setting for Engine & sub-systems.
.Powertrain modal and FRF simulation using NASTRAN
.Powertrain MBD analysis in AVL Excite, Engine Acoustics analysis in ACTRAN
.Interpretation of results, comprehending failure modes shapes and providing directions for countermeasures.
.Report preparation: Communication with design and testing for implementation of countermeasures.
Interact with testing teams for analyzing failures, correlation of CAE results with physical testing results and improvement in CAE methodology.
Technical/ Functional:
.Basic knowhow of Main engine parts and its sub systems.
.Hands on experience on using Hypermesh, SimLab, Nastran, Actran, AVL Excite.
.Sound knowledge of Fundamental Vibration & Acoustics, Powertrain and Driveline NVH, Engine mounting vibration
.Basic knowhow of NVH tests and ISO Test standards - Modal testing, Engine anechoic test, Intake/Exhaust Muffler NVH tests.
.Knowledge of E-motor NVH, Battery mount vibration will be an added advantage.
.Knowledge of 1D Noise analysis in GT Power will be an added advantage.
.Problem solving and data interpretation skills are required.
.Exposure to physical testing and ability to understand test conditions and its representation in CAE will be preferred.
Knowledge of Scripting (Python, VB) will be desired.
Behavioral: Communication & presentation skills, Problem solving skills, Achievement oriented, Team player, Learnability, Networking skills
Maruti Suzuki India Limited, formerly known as Maruti Udyog Limited, is an Indian automobile manufacturer, based in New Delhi. It was founded in 1981 and owned by the Government of India until 2003, when it was sold to the Japanese automaker Suzuki Motor Corporation. As of February 2022 Maruti Suzuki has a market share of 44.2 percent in the Indian passenger car market.
Job ID: 149178133
Skills:
Machine Learning, Ansa, Nastran, Hypermesh, ACTRAN
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