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CAE [computer aided engineering] analysis of NVH of ICE & Electric vehicles

1 enrolled

CAE [computer aided engineering] analysis of NVH of ICE & Electric vehicles banner
Preview this course
Self-paced Intermediate

CAE [computer aided engineering] analysis of NVH of ICE & Electric vehicles

4(9)
1 enrolled
1870 views
₹ 999
318 min
Anytime
English
MILIND AMBARDEKAR
MILIND AMBARDEKARConsultant
  • 7-day money-back guarantee
  • Lifetime access
  • Certificate of completion
Volume pricing for groups of 5+

Why enroll

With automotive NVH becoming more complex, CAE has become indispensable in predicting, diagnosing, and solving issues before a physical prototype is built.

This course is ideal for NVH engineers, CAE analysts, and vehicle development professionals looking to master industry-standard simulation techniques for refining ICE and EV designs.

Whether optimizing body stiffness, acoustic insulation, or powertrain structural modal performance, this training offers cutting-edge methodologies to achieve the world-class refinement in modern vehicles.

Is this course for you?

You should take this if

  • You work in Automotive or Rail & Transport
  • You're a Mechanical / Noise & Vibration professional
  • You have some foundational knowledge in the subject
  • You prefer self-paced learning you can revisit

You should skip if

  • You're looking for an introductory overview course
  • You need a different specialisation outside Mechanical
  • You need live interaction with an instructor

Course details

To provide a comprehensive understanding of CAE techniques for NVH analysis, covering structural, acoustic, and multi-physics simulations to optimize both ICE and EV vehicle performance.

This course explores how CAE is revolutionizing NVH refinement, from modelling millions of Degrees of Freedom (DOFs) in Finite Element Analysis (FEA) to advanced acoustic and vibration simulations.

It covers panel contribution analysis, structure-fluid coupling, and Boundary Element Method (BEM) for mid-frequency NVH issues. Participants will gain expertise in Pass-By Noise simulations, high-frequency SEA (Statistical Energy Analysis) methods, and fatigue durability assessments for high cycle loads

Additionally, CFD (computational fluid dynamics) -based flow-induced acoustics and MBD (Multi-Body Dynamics) for Vehicle NVH will be introduced. The course will conclude with optimization strategies to balance NVH performance with other critical vehicle attributes like cost, weight, durability and handling stability.

Course suitable for

Key topics covered

  • Fundamentals and Strategic Role

  • Structural and Dynamic Analysis

  • Acoustic Simulation Strategies

  • Durability and Performance Optimization

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

6 lectures5 hr 18 min

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Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

What learners say about this course

Moin  Mujawar
Moin Mujawar CAE analyst
Apr 9, 2026

The Course structure was very constructive. Milind Sir has extensive experience in NVH & Acoustics domain. The way he explained NVH and acoustics concepts made even complex topics easy to understand and apply. His practical insights and structured approach added great value to the learning experience. I truly found this course to be highly informative and beneficial, and I would strongly recommend

Prem Kumar
Prem Kumar PCB
Mar 4, 2026

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Namdev Gaikwad
Namdev Gaikwad Student
Feb 25, 2026

Initially, I wasn’t sure what to expect from this course, given I’ve already dealt with vibration issues on real programs. Coming from an automotive background, the sections on BSR, rough-road excitation, and hydro-mount tuning directly mirrored problems seen during vehicle launch phases. The link between FFT-based signal processing and order tracking finally closed a gap that had been mostly handled by trial-and-error on past projects. The aerospace examples around rotor dynamics and modal testing were also useful, especially when comparing high-speed rotating assemblies to driveline torsional vibration cases. Even the agriculture-related references, like vibration exposure on tractor powertrains and operator comfort, felt grounded and not academic. One challenge was keeping up with the depth of the FE eigenvalue methods combined with multi-body dynamics; that took a couple of replays to digest. A practical takeaway was a clearer workflow for vibration root-cause analysis, from measurement through transfer path analysis, instead of jumping straight to hardware fixes. Some concepts, like non-linear vibration behavior, pushed outside daily work, but they helped explain issues that never quite fit linear models. The content felt aligned with practical engineering demands.

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LOGESH VC
Feb 25, 2026

This course turned out to be more technical than I anticipated. The depth around resonance management and damping modeling went beyond the usual textbook treatment, especially when finite element eigenvalue analysis was tied directly to experimental modal testing. That linkage mirrors how we actually validate models in automotive NVH work, not how it’s often idealized. One area that stood out was the treatment of driveline torsional vibrations and order tracking. In automotive and agricultural machinery, those low-order excitations are where most field complaints live, yet they’re often oversimplified. The discussion around edge cases—like speed-dependent mode coupling and mount nonlinearity—was refreshingly honest. On the aerospace side, the contrast between vibration dose values and fatigue-driven design practices highlighted how different industries prioritize risk. A real challenge was keeping the signal processing concepts straight once FFT, TPA, and rotor balancing were layered together. The examples helped, but it still required revisiting some fundamentals to avoid misinterpreting spectra in transient conditions. A practical takeaway was a clearer workflow for root-cause vibration investigations, from measurement strategy through system-level mitigation, rather than jumping straight to component fixes. That mindset aligns well with industry practice and avoids costly rework. It definitely strengthened my technical clarity.

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Questions and Answers

Q: You're reviewing a pass-by noise CAE report after a homologation fail and searching "pass-by noise CAE trend drifting but within limit"; the last three runs show +1.2 dB(A) per build while the current result is 3% outside the acceptance limit at 74.3 dB(A) vs a 72 dB(A) target—what response best protects programme sign-off?

A: A. Freezing the model hides a systematic drift and risks a non-repeatable homologation outcome. B. Forcing a correction masks the physical cause and will break correlation at the next build. C. Local mesh refinement ignores the system-level contributors driving the trend. D. Updating DFMEA and linking the trend to panel contribution shifts addresses root cause before another expensive test.