HBM Prenscia

Durability engineering videos

Durability engineering videos

Improving Shaker Tests to Deliver Reliable Products

Vibration durability tests often use shaker profiles from standards, but it is also possible – and sometimes recommended - to create a vibration specification from actual measurements to ensure the test is representative of the real operational conditions. A combination of the two sources (standards and measurements) is the ideal solution to ensure both compliance with standards and accounting the real environment which the equipment must endure. The shaker test can be accelerated by manipulating the level of the stresses, all with the constraint of accumulating equivalent fatigue damage in the material.

A physical test can be modelled and virtualized using predictive CAE tools. This creates a digital twin of the device on test, which makes it possible to predict the vibrational responses, the levels of mechanical stresses, the fatigue life, etc. Finally, the purpose of a durability test is to ensure the robustness of a device under a given vibrational stress but what about its reliability? This presentation will also discuss how to deduce reliability figures from vibration tests.

Originally presented on July 23, 2020

Notes from the presenter

Thanks for watching - we hope that you identified ways to improve shaker testing’s ability to improve product reliability!  During the live webinar, we had a lively Q&A session with attendees – which raised a number of great points that I’d like to share here:

  1. Shaker profiles can come from many places – from existing standards or from measured service vibration. In fact, both sources can even be included: we can compare the severity of both and create an envelope shaker profile that meets both specifications.
  1. The phrase ‘digital twin’ means any analytical model that allows virtual prediction of product performance.  This could be a finite element model for stress analysis, or a fatigue model for durability analysis – or both, so multiple design criteria can be assessed virtually.
  1. The key to ensuring reliability is to recognize failure modes. FMEA (failure mode and effects analysis) is a great tool for identifying this risk. We can then use predictive tools like nCode to design against this failure mode.
  1. Reliability analysis allows us to extend beyond pass/fail into the statistics of the product’s life.  Mean time to failure is good to know but do you want half of your customers to have a broken part?




nCode products and services deliver solutions for understanding product life performance, mitigating risk, and ensuring durability. Stay up-to-date by subscribing today.