This is my compact scalable oven setup.
You can put as many as you want in a row. Its possible to produce different products at the same time. The production line may change products as fast as the ovens work. The only limitation is the supply chest. All raw material have to be in there. The filter inserter for the ovens are set to the desired material. The solution ist efficient.
The logistics of my factory is organised with pull control. Instead of the widespred main-bus system, which ist basically a push system. Thus i need flexible sourcing with bases Material. In my current factory I replaced >40 ovens with 18 without loss in performance.
Thanks to Fab2000 for the basic setup.
Modular Omni Smelter Oven
This board is to show, discuss and archive useful combinator- and logic-creations.
Smart triggering, counters and sensors, useful circuitry, switching as an art , computers.
Please provide if possible always a blueprint of your creation.
Smart triggering, counters and sensors, useful circuitry, switching as an art , computers.
Please provide if possible always a blueprint of your creation.
Modular Omni Smelter Oven
Last edited by biggerw on Sat Jan 09, 2021 8:03 pm, edited 1 time in total.
be patient if my english is not suitable it´s not my mother tongue.
Re: Modular Omni Smelter Oven
Looks cool wanted to try it out but I cannot make it work.
- Unbenannt.png (9.9 MiB) Viewed 3552 times
Re: Modular Omni Smelter Oven
Ah I should write a better explanation. ... took some time, sorry.
This ist the complete setup. If you know, what is required (the OUPUT of the process) set manually what to burn in the furnaces. Another way is to calculate the priority and set the signal what you want. One furnace should only get one request at a time. Mine are all parallel conneted. But this is not nessesary.
The furnaces need material. Therefore I have a local warehouse for raw material. If you burn steel it requires iron plates. So there are two sinks für iron plates. You need iron plates at other procersses (OUTPUT) or the local waehouse has to be refilled (to produce steel). So I implemented also a control for this. d
I hope this will help. Sure there is some more potential for optimization.
If you want more help we can go to discord an I stream it.
This ist the complete setup. If you know, what is required (the OUPUT of the process) set manually what to burn in the furnaces. Another way is to calculate the priority and set the signal what you want. One furnace should only get one request at a time. Mine are all parallel conneted. But this is not nessesary.
The furnaces need material. Therefore I have a local warehouse for raw material. If you burn steel it requires iron plates. So there are two sinks für iron plates. You need iron plates at other procersses (OUTPUT) or the local waehouse has to be refilled (to produce steel). So I implemented also a control for this. d
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
I hope this will help. Sure there is some more potential for optimization.
If you want more help we can go to discord an I stream it.
be patient if my english is not suitable it´s not my mother tongue.
Re: Modular Omni Smelter Oven
I noticed you have a side of the belt balancer after the area marked 'logic to detect stops of the transport belt'. You may want to consider another version which uses items from both sides of the input of the balancer. Both balancers do the same job on the output side, but are different on the input side. I have a demo:
The copper ore is taken from only one side input while the iron ore is taken from both.
- Side Balance Demo.png (372.66 KiB) Viewed 3170 times
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
The copper ore is taken from only one side input while the iron ore is taken from both.
- Supply Belt Side Balancer.png (104.55 KiB) Viewed 3170 times
0eNqllM2OgjAUhV+F3HU1thQRlu5cz3IymaDemCZYmrZMNIR3nwtmZojgCLhq2rTnO71/FezzEo1V2kNagToU2kH6XoFTJ53lzZm/GoQUlMczMNDZudnhxVh0buFtpp0prF/sMfdQM1D6iBdIec1GiziTK+/Rdp6L+oMBaq+8wpuhdnP91OV5TzdT/swKA1M4el7ohk+Si3C1jBhcSVyEy4hYR2XxcLshGrt3CDEdIZJpiHAGYjMNIWcg1o8RcgARPc7ogHj8Ky6fu1/PSDP/A4wJUDzFfaeGRkhvXkpvRO4HRJOXyjIaExK+6jFK6kt7sgWtI6z3A89+RkBRelM2k6JP5bOoyR31OUe81BKjiorP6ezoPwbNw3Z6pp2JzSDPSIzOdpo+G2xJOHhTRwy2WZ7pQ1vCX2jdTWPDZZyIOJQyltR89TeoMvq6
Re: Modular Omni Smelter Oven
Interesting use of the tunnel belts
be patient if my english is not suitable it´s not my mother tongue.
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