Page 61 - SAEINDIA Magazine December 2020

LIGHTWEIGHT

Feature

require from now till the time they How AI is working for us is that all and also the precision of the
can hit big volumes is that they the solutions today we are offering solution that is going to come out
need to accelerate technology and through the Henkel-RLE alliance is is also going to be much enhanced.
infrastructure development to hit that we are putting all those data At present, our development cycle
the cost point that they want to points that come through a data for a new material takes anywhere
achieve. server. We map the structural data between 12-18 months; now with
Can you let us know about points to the material that we have AI, we can crunch all that to a
some interesting developments built and therefore that correlates maximum three-four months.
happening at Henkel? and creates references. That’s the new timeline we are
talking about. The material card
There is one more interesting thing The next time we come up with a that will come out of AI is going to
happening at Henkel, as we are problem from an OEM, all that we do significantly crunch the time that
going towards enhancing the crash is put the design in and the AI will we will be able to produce new
resistance for vehicles and making tell us what is the type of chemistry technologies and new products
noise levels more comfortable that we need to build through to be and also eliminate the stage of
for passengers to sit through. As able to provide the strength needed prototyping, because as these
EV penetration becomes more for that type of BIW. We have tied up cards go through the finite element
significant in the market, there with Uncountable, a Silicon Valley- analysis that gives feedback that
would be more silence; the only based AI start-up. What it would do this is insufficient and that goes
noise would be the other motorists that is our speed to market would be back and the Artificial Intelligence
honking. It would be a noiseless significantly enhanced. Our ability to synthesises that further to provide
kind of a cabin so the one exciting produce the right formulas the first the most optimal material card and
thing we are doing is to utilise AI time itself will significantly reduce therefore the accuracy level that we
significantly. the overall development timeframe are looking at is 99 percent.

automakers too have started focussing on making their
vehicles comply with the global benchmarks, which has
resulted in some popular passenger vehicles like the
Mahindra XUV300, Tata Altroz and Tata Nexon bagging a
coveted 5-star GNCAP rating.

Speaking on growing demand by OEMs to attain the
five-star GNCAP rating, “It is changing on a daily basis.
They have old platforms for which they will have to
manage with the current ratings that they have but it
is significantly rapidly changing; because of the move
towards e-vehicles, they have no option but to comply
with Global NCAP. Even the GNCAP is now getting
slightly modified. In fact, earlier the GNCAP crash test
was done on a stationary vehicle; now they conduct it on
a moving vehicle at a speed of 65kph. In the past, it was
then fill those sections with our hybrid materials inside just a stationary unit and hit by a moving object at 50kph
which expand as they are heated and provide two times speed. We see there is a greater interest and pretty much
the strength of the steel,” points out Bharadwaj. that’s the work that we get. Everyone is interested to

When one talks about vehicle safety, the Global NCAP get this towards the latest GNCAP, at least for their 2023
rating has been for long considered an international platforms,” signs off an optimistic Bharadwaj.
benchmark to provide the vehicle safety ranking. Indian Courtesy: Autocar Professional

MOBILITY ENGINEERING DECEMBER 2020 59