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  • MICHAEL SHORT: I think I might actually

  • use all 16 colors today.

  • Oh no, this is the most satisfying day.

  • Whereas Tuesday was probably the most mathematically intense,

  • because we developed this equation right here,

  • today is going to be the most satisfying,

  • because we are going to cancel out just about every term,

  • leaving a homogeneous, infinite reactor criticality condition.

  • So we will go over today, how do you

  • go from this, to what is criticality in a reactor?

  • So I want to get a couple of variables up over here

  • to remind you guys.

  • We had this variable flux of r, e,

  • omega, t in the number of neutrons

  • per centimeter squared per second traveling

  • through something.

  • And we also had its corresponding non-angular

  • dependent term, on just r, e, t, if we don't care

  • what angle things go through.

  • We've got a corresponding variable called current.

  • So I'll put this as flux.

  • We have current j, r, e, omega, t, and its corresponding,

  • we don't care about angle form.

  • And today, what we're going to do

  • is first go over this equation again so that we

  • understand all of its parts.

  • And there are more parts here than are in the reading.

  • If you remember, that's because I

  • wanted to show you how all of these terms are created.

  • Just about every one of these terms,

  • except the external source and the flow through some surface,

  • has the form of some multiplier, times the integral

  • over all possible variables that we care about,

  • times a reaction rate d stuff, where this reaction

  • rate is always going to be some cross-section, times some flux.

  • So when you look at this equation using that template,

  • it's actually not so bad.

  • So let's go through each of these pieces right here.

  • And then we're going to start simplifying things.

  • And this board's going to look like some sort of rainbow

  • explosion.

  • But all that's going to be left is a much simpler form

  • of the neutron diffusion equation.

  • So we've got our time-dependent term right here,

  • where I've stuck in this variable flux,

  • instead of the number of neutrons n,

  • because we know that flux is the number of neutrons,

  • times the speed at which they're moving.

  • And just to check our units, flux

  • should be in neutrons per centimeters squared per second.

  • And n is in neutrons per cubic centimeter.

  • And velocity is in centimeters per second.

  • So the units check out.

  • That's why I made that substitution right there.

  • And this way, everything is in terms of little fi, the flux.

  • We have our first term here.

  • I think I'll have a labeling color.

  • That'll make things a little easier to understand.

  • Which is due to regular old fission.

  • In this case, we have new, the number of neutrons created

  • per fission, times chi, the sort of fission birth spectrum,

  • or at what energy the neutrons are born.

  • Over 4pi would account for all different angles in which they

  • could go out, times the integral over our whole control volume,

  • and all other energies in angles.

  • If you remember now, we're trying

  • to track the number of neutrons in some small energy group, e,

  • traveling in some small direction, omega.

  • And those have little vector things on it

  • at some specific position as a function of time.

  • So in order to figure out how many neutrons are entering

  • our group from fission, we need to know,

  • what are all the fissions happening

  • in all the other groups?

  • I've also escalated this problem a little bit

  • to not assume that the reactor's homogeneous.

  • So I've added an r, or a spatial dependence

  • for every cross-section here, which

  • means that as you move through the reactor,

  • you might encounter different materials.

  • You almost certainly will, unless your reactor

  • has been in a blender.

  • So except for that case, you would actually

  • have different cross sections in different parts of the reactor.

  • So all of a sudden, this is starting

  • to get awfully interesting, or messy depending on what

  • you want to think about it.

  • There is the external source, which is actually

  • a real phenomenon, because reactors

  • do stick in those californium kickstarter sources.

  • So for some amount of time, there

  • is an external source of neutrons,

  • giving them out with some positional energy angle

  • and time dependence.

  • So let's call this the kickstarter source.

  • There's this term right here, the nin reactions.

  • So these are other reactions where it's absorb a neutron,

  • and give off anywhere between 2 and 4 neutrons.

  • Beyond that, it's just not energetically

  • possible in a fission reactor.

  • But don't undergo fission.

  • They have their own cross sections, their own birth

  • spectrum.

  • And I've stuck in something right here,

  • if we have summing over all possible i, where you have

  • this reaction be n in reaction, where 1 neutron goes in,

  • and i neutrons come out.

  • You've got to multiply by the number of neutrons

  • per reaction.

  • For fission, that was new.

  • For an nin reaction, that's just i.

  • But otherwise, the term looks the same.

  • You have your multiplier, your birth spectrum, your 4pi,

  • your integral over stuff, your unique cross-section,

  • and the flux.

  • And these two together give you a reaction rate.

  • I've just written all of the differentials as d stuff,

  • because it takes a lot of time to write those

  • over and over again.

  • And then we have our photo fission term,

  • where gamma rays of sufficiently high energy

  • can also induce fission external to the neutrons.

  • The term looks exactly the same.

  • There's going to be some new for photofission,

  • some birth spectrum for photofission,

  • some cross section for photofission, and the same flux

  • that we're using everywhere else.

  • Then we had what's called the in scattering term, where neutrons

  • can undergo scattering, lose some energy,

  • and enter our group from somewhere else.

  • That's why we have those en omega primes,

  • because it's some other energy group.

  • And we have to account for all of those energy groups.

  • That's why we have this integral there.

  • And it looks very much the same.

  • There's a scattering cross-section.

  • And that should actually be an e prime right there.

  • Make sure I'm not missing any more

  • of those inside the integral.

  • That's all good.

  • That's a prime, good.

  • There's also a flux.

  • And then there was this probability function

  • that a given neutron starting off an energy

  • e prime omega prime, ends up scattering into r

  • energy, e and omega.

  • So this would be the other one.

  • And this would be r group.

  • But otherwise, the term looks very much the same.

  • And that takes care of all the possible gains of neutrons

  • into r group.

  • The losses are a fair bit simpler.

  • There is reaction of absolutely any kind.

  • Let's say this would be the total cross-section, which

  • says that if a neutron undergoes any reaction at all,

  • it's going to lose energy and go out of our energy group d, e.

  • Notice here that these are all--

  • these energies and omega is our all r group,

  • because we only care about how many neutrons in r group

  • undergo a reaction and leave.

  • And the form is very simple--

  • integrate over volume, energy, and direction,

  • times a cross-section, times a flux,

  • just like all the other ones.

  • Then the only difference in one right here

  • is what we'll call leakage.

  • These are neutrons moving out of whatever control

  • surface that we're looking at.

  • And this can be some arbitrarily complex control surface in 3D.

  • I don't really know how to draw a blob in 3D.

  • But at every point on that blob, there's

  • going to be a normal vector.

  • And you can then take the current of neutrons traveling

  • out that normal vector, and figure out how much of that

  • is actually leaving our surface ds.

  • The one problem we had is that everything here

  • is in terms of volume, volume, volume, surface.

  • So we don't have all the same terms,

  • because once we have everything in the same variables

  • we can start to make some pretty crazy simplifications.

  • The last thing we did is we invoked the divergence theorem,

  • that says that the surface integral of some variable FdS

  • is the same as the volume integral of the divergence

  • of that variable dV.

  • So I remember there was some snickering last time,

  • because you probably haven't seen this since,

  • was it 1801 or 1802?

  • 1802, OK, that makes sense, because divergence usually

  • has more than one variable associated with it.

  • I'll include the dot, because that's

  • what makes that divergence.

  • So we can then rewrite this term.

  • Let's start our simplification colors.

  • That's our divergence theorem.

  • So let's get rid of it in this form,

  • and call it minus integral over all that stuff.

  • Then we'll have dot, little j, to be

  • careful, r, e, omega, t, d soft.

  • So for every step, I"m going to use a different color so you

  • can see which simplification led to how much crossing stuff out.

  • And so like I said, this board's going

  • to look like a rainbow explosion.

  • But then we'll rewrite it at the end.

  • And it's going to look a whole lot simpler.

  • So now, let's start making some simplifications.

  • Let's say you're an actual reactor designer,

  • and all you care about is how many neutrons are here.

  • Of the variables here, which one do you

  • think we care the least about?

  • Angle, I mean do we really care which direction

  • the neutrons are going?

  • No, we pretty much care, where are they?

  • And are they causing fission or getting absorbed?

  • So let's start our simplification board.

  • And in blue, we'll neglect angle.

  • This is where it starts to get fun.

  • So in this case, we'll just perform the omega integral

  • over all angles.

  • We just neglect angle here.

  • We forget the omega integral, forget omega there.

  • Away goes the 4pi, because we've integrated overall 4pi star

  • radians, or all solid angle.

  • Let's just keep going.

  • Forget the 4pi, forget the omega,

  • forget the omega, forget the 4pi and the omega, and the omega.

  • Same thing here-- forget the omega in the scattering kernel,

  • forget it in the flux, forget it there,

  • forget it there, and there as well.

  • OK, we've now completely eliminated one variable.

  • And all we had to do is ditch the 4pi and one

  • of the integrals.

  • What next?

  • We're tracking right now every possible position,

  • every possible energy, at every possible time.

  • If you want to know, what is your flux

  • going to be in the reactor at steady state, what

  • variable do you attack next?

  • Time.

  • So let's just say this reactor is at steady state.

  • That's going to invoke a few things.

  • For one, it's going to ditch the entire steady state term.

  • We're going to get rid of all the ts in all the fluxes.

  • This shouldn't take too long to do.

  • I think that's all of them.

  • And the third thing is if this reactor is at steady state,

  • chances are we've taken our kickstarter source out,

  • because we just needed it to get it going.

  • But the reactor should be self-sustaining

  • once it's at steady state.

  • So let's just get rid of our source term.

  • I just want to make sure I didn't miss any here.

  • OK, next up, let's go with green.

  • What else do you think we can simplify about this problem?

  • Well, if you look far enough away from the reactor,

  • we can make an assumption that the reactor

  • is roughly homogeneous.

  • In some cases, it's not so good of an assumption,

  • like very close to anything that has a huge absorption

  • cross-section.

  • Now, I want to explain the physics behind this.

  • If the neutrons travel a very long distance

  • through any group of materials, then those materials

  • will appear to be roughly homogeneous to the neutrons.

  • If, however, the neutrons travel through something that's

  • very different from the materials around it,

  • then that homogeneous assumption breaks down.

  • So in what locations in a nuclear reactor do you think

  • you cannot treat the system as homogeneous?

  • Where do the properties of materials

  • suddenly change by a huge amount?

  • Yeah, Luke?

  • AUDIENCE: Control rods.

  • MICHAEL SHORT: Control rods, right,

  • so let's say it's bad for control rods.

  • Where else?

  • How about the fuel?

  • All of a sudden, you're moving from a bunch

  • of structural materials where sigma fission equals 0,

  • to the fuel where sigma fission, like you saw on the test,

  • can be like 500 barns, which even though it's

  • got a very small exponent in front of it,

  • 10 to the minus 22 centimeters squared,

  • it's still pretty significant.

  • So this assumption breaks down around the control rods

  • and around the fuel.

  • But we can get around this.

  • Let's analyze the simplest, craziest possible reactor,

  • which would be a molten salt fueled reactor.

  • It's just a blob of 700 Celsius goo

  • that's got its fuel, coolant, and control rods all built in.

  • So if we assume that the reactor is homogeneous, which

  • is a pretty good assumption for molten salt

  • fueled reactors, because the fuel's

  • dissolved in the coolant.

  • And it builds up its own fission product poison.

  • So it's got some of its own control rods kind of built in.

  • Usually, we'll have other extra ones too, but whatever.

  • Then we can start to really simplify things.

  • If we get rid of any homogeneity assumptions,

  • we cannot necessarily get rid of the r in the flux,

  • because even if the reactor's homogeneous it still might have

  • boundaries.

  • So you might be able to approximate it

  • as just a cylinder or a slab of uniform materials.

  • But if we were to get rid of the r's in the flux term, that

  • would mean that as we graph flux as a function of distance,

  • it would look like that, including infinitely far away

  • from the reactor.

  • Now, is was that true?

  • Absolutely not, so I don't want to leave that up for anyone.

  • We'll fill in what these graphs look like a little later,

  • just leave them there for now.

  • We can get rid of some of the other r's though,

  • like these cross sections.

  • If the reactor is actually homogeneous,

  • then the cross section is the same everywhere

  • because the materials are the same everywhere.

  • So we can get rid of the r's here, the r's here,

  • and there, and there.

  • And that's it, I think.

  • I don't think I missed any, good.

  • Next up-- if this reactor is homogeneous,

  • then does it really matter at which location

  • we're taking this balance?

  • Does it really matter which little volume

  • element we're looking at?

  • We say these equations are--

  • we'll call them volume identical, which

  • means if this same equation is satisfied

  • at any point in the reactor, we don't

  • need to do the volume integral over the whole reactor.

  • It's not like it's going to change anywhere we go.

  • So forget the volume integrals.

  • Hopefully, you guys see where I'm going with this.

  • And I've never tried teaching it like this rainbow explosion

  • before.

  • But I'm kind of excited to see how it turns out.

  • So already like 2/3 of the stuff that we had written are gone.

  • What's the only variable left that we can go after?

  • What's the only color left that I haven't really used?

  • Energy, so we can make a couple of different assumptions.

  • This equation as it is not yet really analytically solvable,

  • because a lot of these energy dependent terms

  • don't have analytical solutions, or even

  • forms like the cross sections.

  • But we can start attacking energy.

  • Hopefully, this is different enough from white.

  • Yeah, is that big enough difference for you guys to see?

  • Good, OK, we can start doing this in a few different ways.

  • I want to mention what they are.

  • And then we're going to do the easiest one.

  • So the way it's done for real, like in the computational

  • reactor physics group, is you can

  • discretize the energy into a bunch of little energy groups.

  • So you can write this equation for every little energy group,

  • and assume that along this energy scale,

  • ranging from your maximum energy to probably thermal energy--

  • 025, let's do this clearly with thick chalk.

  • There we go.

  • You can then discretize into some little energy group.

  • Let's say that's egi, that's egi plus 1, and so on, and so on.

  • And depending on the type of reactor that you're looking at,

  • and the energy resolution that you need,

  • you choose the number of energy groups accordingly.

  • Does anyone happen to know for a light water reactor,

  • how many energy groups do you think we need

  • to model a light water reactor?

  • The answer might surprise you.

  • It's just two, actually.

  • All we care about--

  • so let's say this would be for the general case.

  • All we care about for a light water reactor

  • is, are your neutrons thermal?

  • Or are they not?

  • Because the neutrons that are not

  • thermal are not contributing to fission that much.

  • They are just a little bit.

  • And you can account for those.

  • But pretty much, they're not.

  • Once the neutron slowdown down to get thermal, in the range

  • from, let's say, about an EV to that temperature--

  • took a surprising amount of time to write with sidewalk chalk--

  • then you've got things that are about 500 or 1,000 times

  • more likely to undergo fission.

  • And so all you care about is the neutrons are all born.

  • They're all born right about here.

  • And they scatter, and bounce around.

  • And you don't care, because they're just

  • in this not thermal region.

  • And when they enter the thermal region,

  • you start tracking them, because those are the ones that

  • really count for fission.

  • And if you actually look up the specifications for the AP 1000,

  • this is a modern reactor under construction

  • in many different places in the world.

  • When you see, how do they do the neutron analysis?

  • Two group approximation.

  • So this isn't just an academic exercise

  • to make it easier for sophomores to understand.

  • This is actually something that's done for real reactors.

  • So if you ever felt like I'm making it too simple,

  • no, no, no, I'm simplifying it down to what's really done.

  • And I will get you that specification so

  • you can see what Westinghouse says, like,

  • this is how we design the reactor.

  • We made a two group simplification in many cases.

  • So you can discretize.

  • You can forget it, which we're going to call the one group

  • approximation.

  • Or you can-- let's say two group is the other one that we're

  • actually going to tackle.

  • We're going to do this one, forget energy.

  • But we're not really going to forget energy,

  • because you can't just pick an energy,

  • and pick a cross-section, and say, OK,

  • that's the cross section we're going to use.

  • If most cross sections have the following form--

  • if this is log of energy, and this is log of sigma,

  • and it goes something like that, what energy do you pick?

  • Go ahead.

  • Tell me.

  • Which energy do you pick?

  • Anyone want to wager a guess?

  • AUDIENCE: The ones before or after the big squigglies.

  • MICHAEL SHORT: The ones before or after the big squiggles.

  • I don't think that's correct, because if you do it this,

  • then you're going away underestimate fission.

  • If you do it here, you're going to way overestimate fission,

  • or whatever other reaction you have.

  • We didn't say which reaction this is.

  • The rest of you who are silent and afraid to speak up,

  • you're actually correct.

  • I wouldn't actually pick any single value here.

  • What you need to do is find some sort of average cross-section

  • for whatever reaction that accurately

  • represents the number of reactions

  • happening in the system.

  • And in order to do that, you have to come up with some

  • average cross-section for whatever reaction you have

  • by integrating over your whole energy range of the energy

  • dependent cross-section as a function of energy,

  • times your flux de over--

  • does this look familiar from 1801 or 2

  • as well, what's the average value of some function?

  • Little bit?

  • Well, we'll bring it back here now.

  • So retrieve it from cold storage in your memories,

  • because this is how actual cross sections are averaged.

  • For whatever energy range you're picking--

  • I'm going to make this a little more general.

  • I won't say zero.

  • I'll just say your minimum energy for your group.

  • So now, this equation is general for the multi group and the one

  • group and two group method.

  • For whatever cross-section you want to pick

  • and whatever energy range you're looking at,

  • you take the actual data and perform an average

  • for the fast and thermal delineation,

  • where, let's say this is fast and this is thermal,

  • you would have two different averages.

  • Maybe this average would be right there.

  • You know what?

  • Let's use white so it actually has some contrast.

  • So this would be one value of the cross-section.

  • And maybe the next average would be right there.

  • So you simplify this absolutely non analytical form

  • of your complicated cross-section

  • to just a couple of values.

  • Maybe we'll call that average sigma fast.

  • And we'll call that average sigma thermal.

  • So using this analogy and this color,

  • we can then say, we're going to take

  • an average new, an average chi, get rid of the energies,

  • because we can perform the same energy average

  • integration on every quantity with energy dependence.

  • So all we do is we put a bar there,

  • ditch the energies, ditch the energies.

  • And let's just say that flux is going to be what it is.

  • Same thing here-- yeah, same thing there,

  • and there, and there, there, there, there, here, and here,

  • and here.

  • And there is a cross-section.

  • There is an energy.

  • There is an energy.

  • There is a cross-section.

  • We don't care about those anymore.

  • And there's a couple of other implications of this energy

  • simplification.

  • What is the birth spectrum now?

  • What's the probability that a neutron

  • is born in our energy group which contains all energies?

  • 1, OK, so forget the chi, and that one, and that one.

  • And what about this scattering kernel?

  • What's the probability that a neutron scatters

  • from any other energy which is already in our group

  • into our group, which contains all energies?

  • AUDIENCE: 1.

  • MICHAEL SHORT: Yeah, scattering no longer

  • matters when you do the one group approximation,

  • because if the neutron loses some of its energy,

  • it's still in our energy group, because our energy

  • group contains all energies.

  • So forget the scattering kernel.

  • And forget the energy integrals.

  • What are we actually left with?

  • Not much.

  • There's no green in here yet.

  • Good, because I need to do one more thing.

  • There is no more green.

  • Oh, we did green.

  • We did time.

  • OK, green, red, orange-- is this the orange I used?

  • Dammit.

  • OK, we use those.

  • Purple, no, we've used it.

  • Oh my God.

  • We've used both blues.

  • Bright yellow.

  • Yeah?

  • AUDIENCE: [INAUDIBLE]

  • MICHAEL SHORT: Yes.

  • Chi is the fission birth spectrum,

  • the probability that a neutron is born at any given energy.

  • But because all neutrons are born in our energy group, which

  • contains all energies, then that just becomes one and goes away.

  • There's no birth spectrum, because they're just

  • born in our group.

  • Does that makes sense?

  • OK, I think I found the actual only color, besides black

  • on a black chalkboard, and white which we already have,

  • that I have left.

  • We also have a slightly darker shade of gray.

  • But I'm literally out.

  • This worked out awesome, because there's one more thing

  • that we want to deal with.

  • What do we even have left?

  • All right, what is the one term that

  • is not in all of the same variables as the others?

  • That current, that j.

  • What do we do about that?

  • So we're going-- sorry?

  • AUDIENCE: The F e to e.

  • MICHAEL SHORT: The F e to e--

  • so, actually, I'll recreate some of our variables

  • here, because there's a lot of them.

  • So our F of e prime to e is what's

  • called the scattering kernel.

  • And that's the probability that a neutron

  • scatters from some other energy group, e prime,

  • into ours in e about de.

  • And chi of e is the fission birth spectrum.

  • And just for completeness, knew of e

  • is our neutron multiplier, or neutrons per fission.

  • And I think that gives a pretty complete explanation

  • of what's up here.

  • So now, let's figure out how to deal with the current term.

  • This is when we make one of the biggest approximations

  • here, and go from what's called the neutron transport

  • equation, which is a fully accurate physical model

  • of what's really going on, to the neutron diffusion equation.

  • And this is where it gets really fun.

  • You don't assume that neutrons are subatomic particles that

  • are whizzing about and knocking off of everything else.

  • You then treat the neutrons kind of like a gas,

  • or like a chemical.

  • And you just say that it follows the laws of diffusion.

  • Again, this works out very well, except for places

  • where cross sections suddenly change, like near control

  • rods or near fuel.

  • But for most of the reactor, especially

  • if we have a molten salt fuel reactor,

  • we can invoke what's called Fick's law.

  • Does this sound familiar to anyone?

  • Fick's law diffusion, 3091 or 5111.

  • It's the change of a chemical down a density

  • or a concentration gradient.

  • So, yeah, you've got the idea.

  • What Fick's law says is that the current--

  • or let's say the diffusion current or the neutron

  • current--

  • is going to be equal to some diffusion

  • coefficient, times the gradient of whatever

  • chemical concentration you've got.

  • Let me put the c in there.

  • So right here, this would be the current.

  • I'll label it in a different color.

  • This would be your variable of interest.

  • Maybe c is for concentration, or phi is for flux.

  • Oh, that reminds me, where are those bars on our flux?

  • Which term did we do?

  • Energy-- where's my slightly lighter blue over here?

  • All of these phi's become capital,

  • because we've gotten rid of all the angular, and energy,

  • and everything dependence.

  • Oh, angular dependence-- neglect omega,

  • that should be dark blue.

  • Omega goes away.

  • And the fluxes become capital.

  • So many terms to keep track of.

  • Luckily, you will never have to.

  • And then the j becomes a capital J.

  • Did I miss any phi's here?

  • No, because that one was already gone, cool.

  • All right, so we can use Fick's law,

  • and transform the current into something related to flux.

  • And what we're saying here is that we're getting rid

  • of the true physics, which is that there's some fixed neutron

  • current.

  • And we're saying that neutrons behave kind of like a gas,

  • or a chemical in solution.

  • And so in yellow, we can ditch our current related term,

  • and rewrite it.

  • We don't have any integrals left, as negative del squared

  • phi.

  • I think the only variable left is r, not too bad.

  • Now, we have a second order linear differential

  • equation describing the flow of neutrons in the system.

  • And so we actually have something

  • that we can solve for flux.

  • I think it's time to rewrite it.

  • Wouldn't you say?

  • This has been fun.

  • So let's rewrite what's left.

  • Make sure you guys can actually see everything there.

  • We'll write it in boring old white.

  • So we have no transient dependence.

  • We have left sigma fission, times flux, as a function of r.

  • No source, and we have our neutron nin reactions of--

  • oh, we forgot our new sigma fission.

  • Then we have our i sigma fission from nin, times flux.

  • Next term, we have photofission.

  • So we have a new, from gamma rays,

  • times sigma fission from gamma rays, times flux.

  • Next up, we have--

  • well, last simplification to make.

  • We have scattering.

  • And we have total cross-section.

  • When we said, forget about energy,

  • and our scattering kernel becomes one--

  • and that's light blue--

  • got to make one more modification to this board.

  • Do we care about scattering at all anymore whatsoever?

  • Because scattering doesn't change the number of neutrons

  • left.

  • So we can then take these two terms

  • and just call it sigma absorption, times flux,

  • because if we take scattering, minus the total cross-section,

  • it's like saying, all that's left if you don't scatter

  • is you absorb.

  • And if you remember, I'll add to the energy pile,

  • we said that our total cross section

  • is scattering, plus absorption.

  • And absorption could be fission and capture.

  • And capture could be--

  • let's say, capture with nothing happens,

  • plus these nin reactions, plus any other capture

  • reaction that does something.

  • So we're going to use this cross-section identity right

  • here with a couple of minus signs on it.

  • And say, well, scattering minus total,

  • leaves you with negative absorption, to simplify terms.

  • I'll leave that up there for everyone to see.

  • So then we have scattering and total just becomes

  • minus sigma absorption, times phi of r.

  • And we're left with--

  • what was that?

  • Current, that becomes plus.

  • There is a d missing in there, isn't there?

  • A yellow d, minus d.

  • OK, and that's it.

  • Yes?

  • AUDIENCE: What is d?

  • MICHAEL SHORT: d is the diffusion coefficient

  • right here.

  • So we're assuming that neutrons diffuse

  • like a gas or a chemical with some diffusion coefficient.

  • And so we'll define what that is, oh,

  • probably next class, because we have seven minutes.

  • Yeah, Luke?

  • AUDIENCE: [INAUDIBLE]

  • MICHAEL SHORT: Uh-huh.

  • AUDIENCE: [INAUDIBLE]

  • MICHAEL SHORT: The c right here, that's

  • whatever variable we're tracking.

  • So let's call that flux.

  • Or let's call it n, the number of neutrons,

  • because flux is just number of neutrons times velocity.

  • So let's say that the concentration was

  • the concentration of neutrons.

  • And we just multiply by their velocity to get flux.

  • So it's almost like we can say that the concentration

  • of neutrons is directly related to the flux.

  • And that way, we have everything in flux.

  • And that's the entire neutron diffusion equation.

  • Yeah, this is for one group with all the assumptions we

  • made right here, homogeneous.

  • What other assumptions did we make?

  • Steady state, and we already neglected that.

  • And I think that's enough qualifiers for this.

  • But it's directly from this equation

  • right here that we can develop what's called

  • our criticality condition.

  • Under what conditions is the reactor critical?

  • So in this case, by critical, we're

  • going to have some variable called k effective,

  • which defines the number of neutrons

  • produced over the number of neutrons consumed.

  • And if k effective equals 1, then we

  • say that the reactor is critical.

  • That means that exactly the number of neutrons produced

  • by regular fission, nin reactions, and photofission

  • equals exactly the number of neutrons

  • absorbed in the anything, and that leak out.

  • So let's relabel our terms in the same font that we did here.

  • So this would be the fission term.

  • This would be nin reactions.

  • This would be photofission.

  • This would be absorption.

  • This would be leakage.

  • How many neutrons get out of our finite boundary?

  • And if you remember when we started out,

  • we said we were going to make the neutron balance equation

  • equal to gains minus losses.

  • And through our rainbow explosion simplification,

  • we've done exactly that.

  • These are your gains.

  • These are your losses.

  • When gains minus losses equals zero,

  • the reactor's in perfect balance.

  • Yep?

  • AUDIENCE: How does leakage come out to be negative?

  • MICHAEL SHORT: Leakage comes out to be negative,

  • despite the plus sign here.

  • And that's actually intentional.

  • That's because neutrons traveled down

  • the concentration gradient.

  • So let's say we're going to draw an imaginary flux

  • spectrum that's going to be quite correct.

  • And I'm doing all of those features for a reason.

  • But let's look at the concentration gradient

  • right here.

  • Leakage is positive when your flux gradient is negative.

  • That's why the sign is flipped right there.

  • So a positive diffusion term means

  • you have neutrons leaking out down a negative concentration

  • gradient, because if you look at the slope here, the change in x

  • is positive.

  • And the change in flux is negative.

  • So the slope is negative.

  • Concentration gradient is negative.

  • That's why the sign is the opposite

  • of what you may expect.

  • And the same thing goes for chemical, or gaseous,

  • or any other kind of diffusion.

  • I'm glad you asked, because that's always

  • a point of confusion, is, why is there that plus sign?

  • That's intentional And that's correct.

  • Cool.

  • Yeah, Shawn?

  • AUDIENCE: So in that case, if you

  • were to explicitly right out losses,

  • would it be minus absorption, plus leakage?

  • MICHAEL SHORT: Let's put some parentheses

  • on here, equals zero, and a minus.

  • And when we say plus leakage, we have that plus sign in there.

  • So I'm not going to put any parentheses up here,

  • because that wouldn't be correct.

  • But what I can say is that gains minus losses

  • have to be in perfect balance to have a k effective equal to 1.

  • Does anyone else have any questions,

  • before I continue the explanation?

  • Cool.

  • Let's say you're producing more neutrons

  • than you're destroying.

  • That's what we call supercritical.

  • So I just did an interview for this K

  • through 12 outreach program.

  • And they said, should people be afraid

  • when something, quote unquote, goes critical?

  • Sounds scary emotionally, right?

  • And the answer is absolutely not.

  • If you're reactor goes critical, it's turned on.

  • And it's in perfect balance.

  • That's exactly what you want.

  • So going critical is not a scary thing.

  • It means we have control.

  • If something goes supercritical, it doesn't necessarily

  • mean it's out of control.

  • Reactors can be very slightly supercritical

  • and still in control, because of what's

  • called delayed neutrons, which I will not introduce today,

  • because we have two minutes.

  • If a reactor has a k effective of less than one,

  • we call that subcritical.

  • So it's important to note that the nuclear terminology that's

  • kind of leaked out into our vernacular

  • is not physically correct, in the way that it's used.

  • Words like critical are used to incite emotions, and bring

  • about fear.

  • When to a nuclear engineer critical means,

  • in perfect control, in balance, like

  • you would expect, or in equilibrium.

  • That all sounds kind of nice, makes

  • you calm down a little bit.

  • Yeah, so we can put one last term

  • in front of our criticality condition.

  • We can take either the gains or the losses, move the equal sign

  • and zero over a little bit, and put a 1 over k effective here.

  • This, then, perfectly describes the difference

  • between the gains and the losses in a reactor.

  • So if the gains equal the losses, then k effective

  • must equal 1.

  • And the reactor has got to be in balance.

  • If there are more gains than losses,

  • which means if you are producing more neutrons then

  • you're consuming, than k effective must

  • be greater than 1 for this equation to still equal zero,

  • because this equation must be satisfied.

  • So if you're making more neutrons,

  • your k effective has got to be greater than 1.

  • So you have a less than 1 multiplier in front.

  • And on the opposite side, if you're losing more neutrons

  • then you're gaining, your k effective has to be less than 1

  • to make this equation balanced.

  • Going along with all these definitions right here.

  • So it's exactly 5 of 5 of.

  • I've given you delivered promised blackboard of Lucky

  • Charms.

  • And we've hit a perfect spot, which

  • is the one group homogeneous steady state neutron diffusion

  • equation, from which we can develop

  • our criticality conditions and solve this much

  • simpler equation to get the flux profiles that I've

  • started to draw here.

  • So I want to stop here, and take any questions on any

  • of the terms you see here.

  • Yeah?

  • AUDIENCE: Didn't we talk a lot about the different energies,

  • like the one-group, two-group, or the discrete distributed

  • discretized energy groups?

  • So when we're doing the one group,

  • you're actually just treating them fast together?

  • MICHAEL SHORT: We are.

  • That's right.

  • AUDIENCE: To know that, like you said,

  • the reactors do two group in the actual analysis.

  • MICHAEL SHORT: So a lot a lot of reactors, at least

  • thermal reactors where you only care if neutrons are thermal

  • or not, two group is enough.

  • When you have a one group or a two group equation,

  • these are fairly analytically solvable things.

  • You get to any more groups than that,

  • and, yes, they're analytically solvable.

  • But it gets horrible.

  • And that's why we have computers to do

  • the sorts of repetitive calculations over and over

  • again.

  • Once we've solved the one group equation,

  • I'll then show you intuitive ways to write, but not solve,

  • the equations for multi group equations.

  • Sure.

  • Any other questions?

  • So like I promised, we didn't stay complex for,

  • long because there's basically nothing left.

  • Yeah?

  • AUDIENCE: What is the 2n over 2t?

  • Are we saying that?

  • MICHAEL SHORT: Oh, that's a partial derivative.

  • Yeah, there we go.

  • So this is saying a change in neutron population,

  • or the partial derivative of n with respect to t,

  • because n varies with space, energy, angle, time,

  • and anything else you could possibly think about,

  • equals the gains minus the losses.

  • I think this is worthy of a t-shirt.

  • If any of you guys would like to update the department

  • shirts to properly take into account photofission

  • external sources and nin reactions,

  • I think it would make for a much more impressive thing,

  • because we kind of printed an oversimplification before.

  • It's too bad.

  • We definitely had room on the shirt.

  • There was room on the sides, and on the sleeves.

  • Yeah, keep going.

  • It might have to be long sleeve.

  • I think that would be pretty sweet.

  • Yeah, OK, if no one else has any immediate questions,

  • you'll have plenty of time tomorrow,

  • because the whole goal tomorrow is going

  • to be to solve this equation.

  • That's only going to take like 20 minutes.

  • So we can do a quick review of the simplification

  • of the neutron transport equation,

  • solve the neutron diffusion equation.

  • If you have questions, we'll spend time

  • to answer them there.

  • And if you don't, we'll move on to writing multi group

  • equations.

  • And also Friday for recitation, it's electron microscope time.

  • So now that you guys have learned different electron

  • interactions with matter, you're going to see them.

  • So we're going to be analyzing a couple of different pieces

  • of materials that a couple of you are going to get to select.

  • And we're going to image them with electrons

  • to show how you can beat the wavelength of light imaging

  • limit, like I told you before.

  • We're going to produce our own X-ray spectra

  • to analyze them elementally, where

  • you'll see the bremsstrahlung.

  • You'll see the characteristic peaks.

  • And you'll see a couple of other features that I'll explain too.

  • So get ready for some SEM tomorrow.

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B1 中級

22.將中子傳輸簡化為中子擴散 (22. Simplifying Neutron Transport to Neutron Diffusion)

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    林宜悉 發佈於 2021 年 01 月 14 日
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