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The Silent Revolution on road : Why Vehicle NVH Matters More Than Ever

The Silent Revolution on road : Why Vehicle NVH Matters More Than Ever banner
Self-paced Beginner

The Silent Revolution on road : Why Vehicle NVH Matters More Than Ever

4(115)
13 enrolled
669 views
FREE
56 min
Anytime
English
669 views
MILIND AMBARDEKAR
MILIND AMBARDEKARConsultant
  • Lifetime access
  • Certificate of completion
  • Foundational Learning
  • Access to Study Materials
Volume pricing for groups of 5+

Why enroll

Participants join this NVH course to master vehicle noise, vibration, and harshness for better design and performance. They gain insights into EV and autonomous vehicle NVH challenges. The course provides exposure to cutting-edge tools, techniques, and industry regulations. Learners also benefit from real-world case studies and expert guidance.

Is this course for you?

You should take this if

  • You work in Automotive
  • You're a Mechanical Engineering professional
  • You prefer self-paced learning you can revisit

You should skip if

  • You need a different specialisation outside Mechanical Engineering
  • You need live interaction with an instructor

Course details

This seminar aims to highlight the growing importance of Vehicle Noise, Vibration, and Harshness (NVH) in modern automotive design. It will provide insights into how NVH refinement enhances driving comfort, meets regulatory requirements, and contributes to reducing environmental noise pollution—all while balancing other performance attributes like fuel efficiency, weight, and cost. This course offers an in-depth exploration of vehicle noise and vibration (NVH), covering the full spectrum of sources from road and tire noise to powertrain excitations.

Participants will examine the trade-offs between NVH refinement and key performance factors such as cost, weight, and durability, while gaining insights into the science of controlling both air-borne and structure-borne noise in modern vehicles. The session highlights how CAE simulations, AI/ML, and advanced optimization techniques are transforming NVH engineering, and addresses the unique challenges presented by Electric Vehicles (EVs) and Autonomous Vehicles. Additionally, the seminar covers the latest noise regulations, including CMVR, alongside current industry practices. Through real-world case studies and expert insights, attendees will acquire a strategic understanding of NVH essential for engineers, designers, and decision-makers.

Course suitable for

Key topics covered

  • The Silent Revolution on road : Why Vehicle NVH Matters More Than Ever

Course content

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

1 lectures56 min
  1. The Silent Revolution on road : Why Vehicle NVH Matters More Than Ever
    56 min

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Questions and Answers

A: B sounds tempting if you’re thinking isolation equals stiffness, but isolation works the other way around at low frequency. C borrows a fix from imbalance problems; adding mass masks symptoms and usually shifts resonances into another customer-visible band. D ignores tolerance stack and system behavior — NVH doesn’t wait for red ink on a drawing. A accepts that stiffness moves eigenfrequencies and pushes you to check order tracking before throwing damping at it.

A: B and C feel reasonable if you lump all NVH together, but the dash mat never sees those load paths. D mixes friction noise with airborne paths. A separates airborne from structure-borne, which is where engineers get burned when safeguards are credited for problems they can’t physically influence.

A: B fits hot exhaust thinking, but cold start plus salt points away from creep. C borrows a steel failure mode and misapplies it to elastomers. D sounds general but ignores the shielded underbody location. A lines up environment, material, and the observed cracking that frees the hanger to excite the body.

A: B jumps to a fix that treats the cabin, not the source. C assumes NVH is binary with failure, which doesn’t survive real testing. D mixes subsystems and burns time. A keeps cause and effect aligned and buys data without knee‑jerk design churn hours before cameras roll.