Difference between revisions of "Scaling of speeds"

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'''Question:''' When it comes to [[macroscale style machinery at the nanoscale]], <br>
 
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what is the most natural (optimal) scaling for speeds ascross scales?
Q: What is the most natural scaling for speeds ascross scales when it comes to  
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[[macroscale style machinery at the nanoscale]]?
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== Constant speeds as a very crude first approximation ==
 
== Constant speeds as a very crude first approximation ==
  
 
A crude first approximation as a starting point seem to be
 
A crude first approximation as a starting point seem to be
[[same relative deflections across scales]].
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"[[same relative deflections across scales]]".
 
This leads to keeping speeds constant across scales and acccordingly to
 
This leads to keeping speeds constant across scales and acccordingly to
 
linearly rising frequencies.
 
linearly rising frequencies.
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Despite actual parctical systems will not adhere to this scaling,  
 
Despite actual parctical systems will not adhere to this scaling,  
 
this is still good to look at first as it gives a clear-cut scaling law  
 
this is still good to look at first as it gives a clear-cut scaling law  
as a startingvpoint for further thinking.
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as a starting point for further thinking.
  
 
== More realistically but less accurately - some slowdown ==
 
== More realistically but less accurately - some slowdown ==
  
There is strong motivation to deviate from "keepingvspeeds constant across scales"   
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There is strong motivation to deviate from "keeping speeds constant across scales"   
 
coming from the desire to keep losses and heatup from dynamic friction low.
 
coming from the desire to keep losses and heatup from dynamic friction low.
 
Speeds at the macroscale do not incur much more friction with higher speeds.
 
Speeds at the macroscale do not incur much more friction with higher speeds.
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Nanomachinery though incurs dynamic friction quadratically growing with speeds.
 
Nanomachinery though incurs dynamic friction quadratically growing with speeds.
 
Friction levels per area are quite significant at m/s scales.
 
Friction levels per area are quite significant at m/s scales.
Thus proposed speeds for future [[gem-gum]] based [[advanced productive nanosystem]]s  
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Thus '''proposed speeds for future [[gem-gum]] based [[advanced productive nanosystem]]s are more down in the low mm/s range.'''
are more down in the low mm/s range.
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As a slowdown needs to be compensated with more machinery  
 
As a slowdown needs to be compensated with more machinery  
 
in order to keep the same throughput one only gains a  
 
in order to keep the same throughput one only gains a  
 
linear drop in friction losses rather than a quadratic one.  
 
linear drop in friction losses rather than a quadratic one.  
(See: [[Lower friction despite higher bearing area]])
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For details see: [[Lower friction despite higher bearing area]].
 
This tradeoff of more of nanomachitery for running it slower is enabled by the all important scaling law of  
 
This tradeoff of more of nanomachitery for running it slower is enabled by the all important scaling law of  
 
[[higher throughput of smaller machinery]].
 
[[higher throughput of smaller machinery]].
  
As this is not a clear cut scaling law  
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As '''this is not a clear cut scaling law'''
 
this is not a good starting point for thinking despite  
 
this is not a good starting point for thinking despite  
 
being much closer to actually proposed systems.
 
being much closer to actually proposed systems.
 
 
The problem is that friction in nanoscale bearings and  
 
The problem is that friction in nanoscale bearings and  
 
friction in macroscale bearings are quite different in scaling
 
friction in macroscale bearings are quite different in scaling
and it's difficult
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and it's difficult to reliably predict the transition.
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Or even the behaviour of future macroscale bearings based on [[gem-gum]] [[metamaterial]]s.
  
 
The proposed slowdown is roughly a thosand x (from m/s to mm/s)
 
The proposed slowdown is roughly a thosand x (from m/s to mm/s)
 
aross a scale of a million x (from m to nm).
 
aross a scale of a million x (from m to nm).
This gives roughly/perhaps/maybe a scaling of speeds with the squareroot of scale.  
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This gives roughly/perhaps/'''maybe a scaling of speeds with the squareroot of scale.'''
 
More insights may arise.
 
More insights may arise.
  
 
== Scaling of speeds in natural systems ==
 
== Scaling of speeds in natural systems ==
  
{{wikitodo|to cover in more detail}}
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Note that as natural systems work quite differently, natural scaling laws (for speed across scales) differing from aboves consideration do not idicate that aboves considerations are wrong.
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{{wikitodo|Cover the below points in more detail eventually.}}
  
 
* There is the scaling of the speed of insect wings.
 
* There is the scaling of the speed of insect wings.
 
* There is the scaling of speeds imparted by viscous drag when moving in liquids (which is much higher than dynamic friction in [[crystolecule]] bearings).
 
* There is the scaling of speeds imparted by viscous drag when moving in liquids (which is much higher than dynamic friction in [[crystolecule]] bearings).
* There is the scaling of speeds in biological metabolism (which deviates a bit from what is desctibed on the page [[higher throughput of smaller machinery]]).
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* There is the scaling of speeds in biological metabolism (which deviates notably from what is desctibed on the page [[higher throughput of smaller machinery]]).
 
* There is exploitation of diffusion transport (which is not free of energy dissipation!) {{wikitodo|Derive the scaling law assuming both transport distance and block size being at the scale L. (pseudo)speeds should drop rapidly with scaleL}}. Unless charged ions in a field speeds cannot be accelerated here. Well, reduced dimensionality of transport can accelerate (pseudo)speeds.
 
* There is exploitation of diffusion transport (which is not free of energy dissipation!) {{wikitodo|Derive the scaling law assuming both transport distance and block size being at the scale L. (pseudo)speeds should drop rapidly with scaleL}}. Unless charged ions in a field speeds cannot be accelerated here. Well, reduced dimensionality of transport can accelerate (pseudo)speeds.
  
 
== Related ==
 
== Related ==
  
* [[Same relative deflections across scales]].
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* '''[[Same relative deflections across scales]]'''
 
* [[Lower stiffness of smaller machinery]]
 
* [[Lower stiffness of smaller machinery]]
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* '''[[Higher throughput of smaller machinery]]'''

Latest revision as of 09:46, 16 January 2023

Question: When it comes to macroscale style machinery at the nanoscale,
what is the most natural (optimal) scaling for speeds ascross scales?

Constant speeds as a very crude first approximation

A crude first approximation as a starting point seem to be "same relative deflections across scales". This leads to keeping speeds constant across scales and acccordingly to linearly rising frequencies.

Despite actual parctical systems will not adhere to this scaling, this is still good to look at first as it gives a clear-cut scaling law as a starting point for further thinking.

More realistically but less accurately - some slowdown

There is strong motivation to deviate from "keeping speeds constant across scales" coming from the desire to keep losses and heatup from dynamic friction low. Speeds at the macroscale do not incur much more friction with higher speeds. Rather deflections from accelerations are usually the limiting factor. Nanomachinery though incurs dynamic friction quadratically growing with speeds. Friction levels per area are quite significant at m/s scales. Thus proposed speeds for future gem-gum based advanced productive nanosystems are more down in the low mm/s range.

As a slowdown needs to be compensated with more machinery in order to keep the same throughput one only gains a linear drop in friction losses rather than a quadratic one. For details see: Lower friction despite higher bearing area. This tradeoff of more of nanomachitery for running it slower is enabled by the all important scaling law of higher throughput of smaller machinery.

As this is not a clear cut scaling law this is not a good starting point for thinking despite being much closer to actually proposed systems. The problem is that friction in nanoscale bearings and friction in macroscale bearings are quite different in scaling and it's difficult to reliably predict the transition. Or even the behaviour of future macroscale bearings based on gem-gum metamaterials.

The proposed slowdown is roughly a thosand x (from m/s to mm/s) aross a scale of a million x (from m to nm). This gives roughly/perhaps/maybe a scaling of speeds with the squareroot of scale. More insights may arise.

Scaling of speeds in natural systems

Note that as natural systems work quite differently, natural scaling laws (for speed across scales) differing from aboves consideration do not idicate that aboves considerations are wrong.

(wiki-TODO: Cover the below points in more detail eventually.)

  • There is the scaling of the speed of insect wings.
  • There is the scaling of speeds imparted by viscous drag when moving in liquids (which is much higher than dynamic friction in crystolecule bearings).
  • There is the scaling of speeds in biological metabolism (which deviates notably from what is desctibed on the page higher throughput of smaller machinery).
  • There is exploitation of diffusion transport (which is not free of energy dissipation!) (wiki-TODO: Derive the scaling law assuming both transport distance and block size being at the scale L. (pseudo)speeds should drop rapidly with scaleL). Unless charged ions in a field speeds cannot be accelerated here. Well, reduced dimensionality of transport can accelerate (pseudo)speeds.

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