Carello has given the usual story from the pilot text books but let's have a look at some real world numbers to get a check on all this theory stuff. If it gets a bit too much, don't worry but, for those who are interested, it puts some reality to the theory.
parasitic drag= CD0.5ρv2A
First, as an aside, keep in mind that this is but only one component of the aeroplane's drag. Generally, we figure drag from wind tunnel or flight test activities although we can torture ourselves by trying to figure out the various components analytically. However, it is important that we keep in mind that we need to look at
all the drag, not just a bit here and there.
For these low speed aircraft with which you are involved in pilot training, the drag comes down to a bunch of components which are not tied up with the production of lift (lift-independent drag) and the lift-related drag (lift-dependent, or induced, drag). These are the two main drag elements seen in the usual drag curve graphs which, no doubt, Bob has in his text notes. In Carello's post, the Cd number must relate to the total drag at the test point, regardless of its origin or mix.
Power can be phrased as Drag x TAS as per the book.
Thinking power required here. The important thing is that the power required (which is tied up closely with fuel flow required ... the latter is of more interest to the pilot than power numbers) is related to speed cubed hence the reason why we don't just fly faster. That's all good fun but to go a little bit faster takes a whole lot more fuel and that irritates the bean counters in the back room no end !! More importantly, if you get the sums wrong, you might find yourself on fumes at some time during your flight and that is not a good idea.
Situation A- I am cruising at a low height
Situation B- I am cruising at a high height
OK, we have the picture in your scenario. So let's find some data and have a play with them.
If in situation B I have a higher TAS due to increase in height (reduction in density) alone i.e. I have the same throttle setting,
That's probably not the case. When you go flying, and you do a little bit of cruising at low level, do you then use the same throttle setting if you climb and cruise at a higher level ? No ? In general, what you will do is either cruise at a desired IAS (not the usual scenario) or, for larger engines (especially) and more commonly, a desired power setting (ie %BHP or similar). The other option is to cruise at a G/S required to make good an ETA. However, for this question, we will need to keep the IAS (actually, EAS but IAS will do us just fine) the same so that we control the value of Cd reasonably well. That way, if Cd is kept more or less constant, we only need to look at rho (density) and TAS^3 as variables in the sums.
Now Bob's school being at Redcliffe, we'll take advantage of the nice folks at Redcliffe Aero Club who, very kindly, have put up a C310 POH on their website for other folks to have a look at. (If you haven't flown 310s, you really must do so .. they are great fun). You can download the POH at
redcliffeaeroclub.com.au/index.php/aircr...cessna-310-r-vh-jtv/. With this manual, we can play with some numbers rather than try to talk theory .. and then see that the one relates reasonably well to the other anyway.
In the following story, I won't try to set up the equations as real world engineering sums (I don't have all the data, anyway). As we are only wanting to play with the numbers, and equations are more useful that tabular look ups, simple plot and regression will be more than adequate. It is worth noting that the curves for the 310 are entirely typical and look much the same as would the curves for the next aircraft Type/Model. Indeed, while GAMA POHs tend to have tables, many aircraft run the graphs which are much easier to use and play with anyway. Further, with the equations there for you to use, if any of you want to have a play with the data for yourself, you have some machinery to do so - MS Excel, or similar, and away you go.
As you would be well aware, for routine pilot line stuff, you just interpolate linearly between the tabulated point data and accept the resulting (generally acceptably small) errors. You could use some of the fancier mathematical interpolation routines but that is just way over the top.
Now, in general, for smaller aeroplanes (engines), the fuel flow is pretty closely related to the power setting and we can ignore RPMs, MPs, altitudes and so on. If you like to have a look at the 310 ISA cruise data (pp 5-35 and subs) then, were you to plot and run a regression on the data, you would find that the relationship between power setting and fuel flow functionally is a straight line. For interest, the equation is
fuel flow = 13.626605 + 2.3226622 x %BHP and, even with round off and so forth, this will give the cruise table data for ISA conditions to within one pound per hour regardless of altitude and specific engine settings.
In a similar fashion we can generate some power/TAS curves from the chart data. The curves are a bit more complex but can be modelled adequately as quadratics/cubics. Notice, if you try to fit a cubic to the 15000 ft data, the curve shape is not realistic (we really need a few more data points) so we stay with the quadratic albeit with a slightly greater error. Again, if you are interested, the regressions result in
2500 ft ISA TAS = 22.952676 + 3.5832094 x %BHP - 0.019469776 x %BHP^2
5000 ft ISA TAS = - 45.704052 + 7.113337 x %BHP - 0.078002748 x %BHP^2 + 0.00032863525 x %BHP^3
7500 ft ISA TAS = - 61.162574 + 7.9418326 x %BHP - 0.090693149 x %BHP^2 + 0.0003977951 x %BHP^3
10000 ft ISA TAS = - 179.48467 + 14.33308 x %BHP - 0.20338361 x %BHP^2 + 0.0010639547 x %BHP^3
15000 ft ISA TAS = - 348.49362 + 19.079932 x %BHP - 0.17583887 x %BHP^2
I've given you the explicit sums so that you can keep a check on me just to make sure that I am not telling porkies if you are so inclined. Alternatively, you could also run some sums yourself and learn a bit about this stuff.
As a sidenote, do be very careful with any regression-based extrapolation you might be tempted to do. Once you get much beyond a straight line, extrapolation can do quite funny things unless you do some testing to make sure that the equations behave sensibly outside the data range. Indeed, sometimes we have to force things a bit and fudge some extrapolated data to make the equations behave sensibly. Quadratics are not too bad for a little bit of extrapolation but cubics and above just have too many twists and turns waiting to catch out the unwary.
But wouldn't the equation be affected by that decrease in density so that the drag becomes less? Maybe even balancing it out as it increases one but decreases the other?
Now let's have a play with some 310 numbers and see what might come out of the exercise. I'll give you an example and leave it to those who might be interested to have a go at figuring some numbers yourself. If you have a go and get into trouble, please do make a post and I'll help you sort things out. The value of having a go yourself is that we all learn best by doing, not reading, not listening, not watching but doing (after having done the other things).
The basic consideration is that the power required equation suggests that the relevant variables are Cd, density, and speed. If we can constrain Cd to be reasonably constant, then we are looking only at density and speed as variables. The relevant resulting relationship is
power required = some constant x density x speed^3
We established before that the fuel flow is directly related to the power required so we can look at fuel flow instead of power required without changing things to any great extent. That is we should expect to see something along the lines of
fuel flow = some other constant x density x speed^3
and we can figure this as ratios of numbers at different data points to get rid of those pesky dimensions.
So let's have a quick look at some data points from the cruise charts to see how this might work out -
2500 ft ISA 40.5 %BHP gives 107.7 lb/hr TAS 136.1 kt IAS 131.2 kt
15000 ft ISA 49.7 %BHP gives 129.1 lb/hr TAS 165.4 kt IAS 131.2 kt - notice we are trying to keep the same IAS.
Now, if you look up some ISA data you will get
2500 ft ISA density 1.13786575 kg/m^3
15000 ft ISA density 0.77080675 kg/m^3
and multiply density by TAS^3 you will get
2500 ft ISA rho x TAS^3 2868570
15000 ft ISA rho x TAS^3 3487804
Now, if you take some ratios for 15000 ft to 2500 ft, you will get
density ratio 0.77080675 / 1.13786575 = 0.68, ie down by around 32 %
TAS^3 ratio 4524874 / 2521009 = 1.80, ie up by around 80 %
As Carello observed, TAS^3 wins out over density by a long shot so that answers one of your specific questions.
F/F ratio 129.1 / 107.7 = 1.20, ie fuel flow (and power required) is up by about 20 %.
rho x TAS^3 ratio 3487804 / 2868570 = 1.21, ie the theory says power required is up by about 20 %.
The slight discrepancy is due to round off errors and imprecision in the tabular data. However, for all intents and purposes, you can see that the theoretical variables (rho x TAS^3) gives the answer you were looking for ..
Now, why not have a go yourself with some other data points ?