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All science packs, beaconed and moduled 42/s
Posted: Tue Apr 04, 2023 6:53 pm
by Tertius
This is a list of blueprints for a blue belt full of science packs of every type. They produce about 42-44 science per second, so one production line is enough for a 2500 SPM base.
Two production lines of each fits a 5K SPM base with 5 rocket silos perfectly. Bottleneck is the rocket silos with white science (40.7/s per blue belt).
I didn't really find moduled and fully beaconed blue belt science production examples on the web, so I create one myself. All machines have as many production modules as possible and usually 8 beacons with speed modules.
The production lines are kind of tileable, however due to the large amount of input required it might be difficult to provide enough input items on the small footprint. "Tileable" means you overlap the blueprints on the outer beacon rows, so you save a small amount of energy.
The last picture is an example how these could be arranged all doubled for 84/s science to provide 5K SPM, with a huge bus at one side (picture has infinity chests, on a real map on the bus begin would be a bunch of train stations, at least this is how I am planning to do it).
A nixie tube (mod) display is added at the end of each production line, so you can see the current throughput. Just remove them if you don't need them or want to run without mods.
Blueprints red, green, grey
Red Science:
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Copy blueprint
Green Science:
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Grey Science:
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Re: All science packs, beaconed and moduled 42/s
Posted: Tue Apr 04, 2023 6:53 pm
by Tertius
Blueprints blue, purple, yellow
Blue Science:
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Re: All science packs, beaconed and moduled 42/s
Posted: Wed Apr 05, 2023 6:01 am
by mrvn
Do you have red/green circuit boards and smelting too?
Re: All science packs, beaconed and moduled 42/s
Posted: Wed Apr 05, 2023 6:30 am
by Optera
Very clean builds.
One optimization, try using more direct insertion. For example on Purple Sci squeeze rods between rails and use direct insertion.
Re: All science packs, beaconed and moduled 42/s
Posted: Wed Apr 05, 2023 2:28 pm
by Tertius
mrvn wrote: ↑ Wed Apr 05, 2023 6:01 am
Do you have red/green circuit boards and smelting too?
Yes, in combination with train stations, but I'm not yet completely satisfied with the train stations, so the stations are WIP. The production lines themselves are designed to fully consume or fully fill blue belts, within the constraints of sane production ratios.
Red circuits: my own design.
Inputs: plastic bars, green circuits, copper plates.
Green circuits: DaveMcW's design.
Inputs: iron plates, copper plates.
Plate smelters: design circulated in this forum, don't know original author.
Input: iron/copper ore.
Steel smelter: my own design.
Input: iron ore.
I arranged them together with train stations, tileable for as many production lines as train congestion allows.
Tiny detail: there is some circuitry to turn off a complete production line if either input is empty or output train station is full.
Re: All science packs, beaconed and moduled 42/s
Posted: Wed Apr 05, 2023 2:29 pm
by Tertius
Blueprints green circuits, plate smelter
Green circuits:
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Re: All science packs, beaconed and moduled 42/s
Posted: Wed Apr 05, 2023 2:29 pm
by Tertius
Re: All science packs, beaconed and moduled 42/s
Posted: Wed Apr 05, 2023 2:59 pm
by Tertius
Optera wrote: ↑ Wed Apr 05, 2023 6:30 am
Very clean builds.
One optimization, try using more direct insertion. For example on Purple Sci squeeze rods between rails and use direct insertion.
Thanks.
I didn't think about direct insertion yet, because this gets a 4-tile spacing, which doesn't fit well with the 3-tile spacing of beacon lines. Definitely an idea for rails and iron sticks, since there is some space and not that many beacons required. Will work on it.
My approach for designing all of the blueprints was very simple and straightforward. First placing 2 beacon lines, then all assembling machines for the science to fill one side of a blue belt, then see how items can be supplied to these machines within the 2x2 tile wide space inside the beacon lines, then create required intermediates in front of them within the beacon line as well, then add power poles. If necessary add another beacon line + machines on top for intermediates. Then duplicate for filling both lanes of the output belt. That worked quite well, I suppose. A tiny amount of spaghetti included as well.
Re: All science packs, beaconed and moduled 42/s
Posted: Wed Apr 05, 2023 3:29 pm
by mmmPI
Tertius wrote: ↑ Wed Apr 05, 2023 2:59 pm
My approach for designing all of the blueprints was very simple and straightforward. First placing 2 beacon lines, then all assembling machines for the science to fill one side of a blue belt, then see how items can be supplied to these machines within the 2x2 tile wide space inside the beacon lines, then create required intermediates in front of them within the beacon line as well, then add power poles. If necessary add another beacon line + machines on top for intermediates. Then duplicate for filling both lanes of the output belt. That worked quite well, I suppose. A tiny amount of spaghetti included as well.
It does look very clean indeed.
Have you considered sustitution between assembly machines and beacons to further boost the capacity of each assembly and reduce the overall amout of inserters ? I'm not sure how well it would do, given that 1 beacon can give +50% speed to 2 adjacent machines, that amount to 100% and could pay for the removed assembly if 1/2 were replaced ? not sure about what's multiplicative and what's additive.
Re: All science packs, beaconed and moduled 42/s
Posted: Wed Apr 05, 2023 4:07 pm
by Tertius
mmmPI wrote: ↑ Wed Apr 05, 2023 3:29 pm
Have you considered sustitution between assembly machines and beacons to further boost the capacity of each assembly and reduce the overall amout of inserters ? I'm not sure how well it would do, given that 1 beacon can give +50% speed to 2 adjacent machines, that amount to 100% and could pay for the removed assembly if 1/2 were replaced ? not sure about what's multiplicative and what's additive.
I'm not entirely sure what you ask, but I assume you ask for a 12-beacon solution (assembly machines surrounded by a square of 12 beacons)?
I considered this, and I actually created 2 alternative designs for low density structures and rocket control units earlier, a 8-beacon/machine and a 12-beacon/machine design each. After comparing both designs, I decided against the 12-beacon variants because they had bigger footprint and severe difficulties to feed or extract due to the extreme speed. I didn't want to despair later with things like feeding 30 rails every 2.6 seconds for purple science. You can do this for 1 or 2 machines, but a whole production line? And to my surprise, for a 8-beacon design, ratios between machines and belt speeds came together very nicely, which is not the case for every 12-beacon design.
So I just decided to go for the 8-beacon design for everything. It's probably less UPS friendly, since more moving parts involved, however that's the current design decision.
May be in megabase version 2.0. Currently, I'm in the process of upgrading my PC hardware. Somewhat expensive, but more easy to implement instead of UPS optimization. The current save of the megabase draft using all these blueprints can be downloaded
here . It's scratching the 60 UPS limit on my core i7 6700K, however it still lacks all the mines.
Re: All science packs, beaconed and moduled 42/s
Posted: Thu Apr 06, 2023 11:40 am
by mrvn
For the high throughput rail stations I went away from trying to unload the train faster and faster and spaghetifying the rails. You hit the law of diminishing returns as more and more time is spend on the train arriving and leaving (relative to unloading).
So for example for the iron smelting instead of unloading 1 train onto blue belts use up to 6 parallel train stops all unloading unto underground belts going across the 6 stations. That easily gets you 3 blue belts per wagon (stupid inserters always unload to the same side of an underground belt in vanilla, 6 with Bob's inserters).
Re: All science packs, beaconed and moduled 42/s
Posted: Thu Apr 06, 2023 8:56 pm
by mmmPI
Tertius wrote: ↑ Wed Apr 05, 2023 4:07 pm
I'm not entirely sure what you ask, but I assume you ask for a 12-beacon solution (assembly machines surrounded by a square of 12 beacons)?
That wasn't so clear for me that things were either 8 or 12 beacons setup, maybe you assumed i had clearer picture in mind because i post a lot but i've been doing combinators , trains , and modded games recently. When i tried to modify your blueprint to show what i meant it became obvious.
Thanks for your explanations on the pros and cons, i guess the same reasonning explain why you didn't use extra beacon for the intermediate that do not use productivity modules like inserters for green science or ammo and wall for military, assemblies are already so fast with speed modules that their inserters are already close to 100% usage which i think is a positive sign for the overall number of moving part train of thought and it fits very nicely