Dr. Phil Metzger Profile picture
May 11, 2021 14 tweets 5 min read Read on X
A paper just came out analyzing rocket exhaust blowing lunar soil. It is important for at least 2 reasons. 1/n

Reference: Chinnapan et al., "Modeling of dusty gas flows due to plume impingement on a lunar surface," Physics of Fluids 33, 053307 (2021) aip.scitation.org/doi/full/10.10….
2/n First, there is great uncertainty in how *fast* the lunar dust goes. It is hard to model rocket exhaust physics on the Moon because fluid flow equations break down as the gas spreads into vacuum. The relevant equation is the Navier-Stokes equation. (screenshot from Wikipedia)
3/n In that equation, the constant μ is gas viscosity. It is not really a fundamental thing in nature. It was invented by averaging lots of molecules bouncing in a small volume of space. It tells us how much the momentum from one volume diffuses into nearby volumes.
4/n The averaging process that invents "viscosity" assumes the molecules will actually collide within those volumes. But when the gas spreads too far into lunar vacuum, the "mean free path length" (the average distance between collisions) is too big. So viscosity "breaks down."
5/n Lots of work has been done to create new physics models of gas blowing into vacuum, but the models have flaws. They do not have good turbulence models. They do not handle boundary conditions well enough. Etc. The predictions have some uncertainty, which is normally OK. But...
6/n ...it turns out that these gaps in our physics models produce a lot of uncertainty in how fast the dust particles get lifted off the surface of the Moon and how fast they end up going. Different models predict between 200 m/s up to 3000 m/s. A huge difference!
7/n We can't tell how fast the dust particles are going by looking at the Apollo or Chang'e landing videos because it all looks like a continuous cloud.
8/n This new paper is significant in part because it uses a good method that handles dust in lunar vacuum fairly well (Direct Simulation Monte Carlo) using realistic parameters, and it predicts the dust goes close to lunar escape velocity -- about 2.38 km/s.
9/n That velocity happens when the lander is still 15 m above the lunar surface, and the dust goes even faster as the lander descends. So we expect dust will be blown completely off the Moon. This validates earlier work that had used simpler approximations.
10/n A 2nd reason this new paper is cool is because it tests the sensitivity of "2-way coupling" between the gas and dust in the physics model. It is vastly easier to do "1-way coupling": to model just the gas flow by itself and then use those results to calculate the dust speed.
11/n In order to do 2-way coupling your model has to use increments of time that are correct for the gas molecules (very fast) and the dust particles (very slow). It is hard to put both into the same model. Most of our past work used 1-way coupling, assuming it was good enough.
12/n We used various tricks to validate the 1-way coupling was good enough, but questions remained. Some folks claimed this made our models predict velocities that are too high. The new work tests the difference between 1-way & 2-way coupling and they showed almost no difference!
13/n So I am excited over this new paper in the Physics of Fluids journal. It validates that we have a pretty good grasp of how rocket exhaust blows soil during lunar landings. This improves requirements for lunar landing pads. (This pic is for a particular case.)
14/14 However, there is another entire problem that has not been solved. That is when rocket exhaust is able to dig a deep hole in the soil. We haven't solved how to model that part of the physics, yet. @mastenspace is working on that problem right now.

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More from @DrPhiltill

Apr 28
Untrue. This does touch on something related that actually happened, which people have apparently distorted and used to prop up the dumb conspiracy theory. I will explain… 1/N
2/ First I’ll tell you what I know about the videos, then the telemetry.

When I analyzed the plume effects of the lunar landings, starting in the late 1990s and early 2000s, I tracked down the original data. One of the guys on my team worked with Houston to get the videos.
3/ The originals had been converted to digital and this was more convenient for us to use, since we wouldn’t need reel-to-reel NTSC video equipment, so this is what we got. I had high resolution copies of all the landing videos. There was no lost video. It all exists.
Read 15 tweets
Apr 18
NASA now building a flight-ready lunar excavator for a resource utilization pilot plant (not a demonstration — the actual pilot plant) on the Moon.
Discussing the challenges of reoeatably setting up the correct lunar soil conditions (compaction, rocks) for testing the lunar excavator on Earth. Image
3/ The robot will not be joystick-operated from Earth due to time delay and bandwidth limits. It will have software for autonomous mining & roving.
Read 8 tweets
Apr 10
I'm tired of reading in the news people proclaim that starting a city on another planet is economically ridiculous when clearly they are just guessing. So I'm finally starting to write a paper on the analysis I did a few years ago that found (to my surprise) it is quite feasible.
The main thing ppl don't seem to grasp is that the cost of the extra stuff for Mars, like building a dome, recycling air, using mass for radiation shielding, washing perchlorates from dirt, etc., are utterly trivial compared to the cost of frivolous things we do in our economy.
The 2nd main point that ppl don't seem to grasp is that you don't need any particular advantage from being on Mars to make it economically viable. Mars doesn't need special minerals or anything. Any location becomes economically viable simply by there being enough humans there.
Read 4 tweets
Mar 31
Part 2. Another thing I think is cool in the papers I linked a few days ago. The quoted thread was about the granular physics of gas digging craters in small experiments, which I thought was cool. This new thread is about lunar geology. 🧵 1/N
2/ The papers described how those small experiments give physics insight that leads to a new equation predicting erosion rate when there is no saltation. I took that new equation and applied it to the Apollo Lunar Modules to predict how much soil was blowing.
Image
Image
3/ We can compare the theory’s predictions to the images looking out the Lunar Module (LM) window. As the dust blows, the image gets brighter. A histogram of pixel brightnesses gets narrower (less contrast) and shifts to the right (more bright pixels). Image
Read 42 tweets
Mar 29
Here’s something I think is cool in the new papers that I linked yesterday.

My research group over the years has run many, many small scale experiments where a jet digs a crater against a window so we can see into it.
2/ Something weird we see in these experiments is that the depth of the crater is perfectly described by the logarithm function. Like I mean, perfectly. There are two parameters: a and b, the length scale and (inverse) time scale.
Image
Image
3/ You can use different gas speed, molecular weight, diameter jets, grain sizes, mineral density, gravity, etc. The crater depth is always a perfect logarithm of time. In fact, if you plot it versus the logarithm of time, the depth turns out to be a perfectly straight line. WHY? Image
Read 15 tweets
Mar 18
I’m not so sure. The link to the prior estimate is a paper that measures the “blast zone”, which is the region around a lander where the reflectivity of the surface has changed. We have never known exactly what causes this change. Is it from gas blowing the dust texture flat? /1
2/ Or is it from blowing dust plowing across the surface? Or from engine shutoff when the last sputter of the engine cause a low velocity blanket of dust to fly out to a much smaller distance than normal? The problem has always been that this blast zone is *too small* to be…
3/ …the area where the dust finally lands, because the dust in rocket exhaust is going far to fast in low gravity to travel only that far. (We think we might know the cause now, but I don’t want to tell here since we will probably write a paper on it.)

So the prior estimate…
Read 10 tweets

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