Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Modern jet engine turbines: each blade a single crystal (2015)

americanscientist.org

Post reply on HN
Print view View original

31–34 of 34 posts

Re: Modern jet engine turbines: each blade a single crystal (2015)

#31

Post by icegreentea2 »

heavenlyblue wrote: post #30
icegreentea2 wrote: post #16

Earlier quoted context omitted.

This might be interesting: https://www.nationalacademies.org/read/23490/chapter/6 Thermodynamic efficiency (which is what turbine blades enable) has increased from ~30 to 55% over the last 50-60 years. The book estimates that the practical limit of for thermodynamic efficiency is in the 65-70% range.

Is there a curve for how much an efficiency gain translate in max distance?

From https://web.mit.edu/16.unified/www/FALL/thermodynamics/notes...

All other things equal, range varies proportionately with efficiency. Ie, if you have 500km range at 50% overall efficiency, then at 65% overall efficiency, you have 650km range.

Re: Modern jet engine turbines: each blade a single crystal (2015)

#32

Post by chii »

applied_heat wrote: post #25
trogdor wrote: post #17

Earlier quoted context omitted.

If a company has a specific knowledge advantage regarding the design or manufacture of turbine blades, wouldn’t they patent it?

Patents expire Patents are difficult to enforce internationally Where would coke be if the recipe was patented instead of trade secret ?

While your point is completely true, the specific example of coke is ironic because Coke's dominance is more related to marketing than their formula!

Re: Modern jet engine turbines: each blade a single crystal (2015)

#33

Post by class3shock »

foobar10000 wrote: post #18
class3shock wrote: post #13

Earlier quoted context omitted.

No one is "corresponding" trade secrets outside of their company. I recommend reading up on ITAR and the resulting culture it has created around aerospace info.

Note that google cloud has an itar-compatible gemini pro and google drive / docs - so, people do talk to it - and google is of course contractually obligated to not export it, nor to learn from it. This is very different that AWS fed-gov bedrock thingie - where AWS promises that the models are running on hardware dedicated to you, with no external logging, etc.

Maybe a better way to say it would be, no one is talking to AI that isn't on company serves, managed by that company personnel.

My overall point being, no one is submitting design files to ChatGPT for analysis or emailing their friends in China test reports to get a second opinion on the experimental results.

Post reply on HN