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The spiral jet milling process is not governed only by the jet mill itself.
It is a process involving different machines and components which need to be
properly integrated into a System.
There is no sound theory comparable to those existing for the other
industrial processes.
The jet mills by TECNOLOGIA MECCANICA are based on a sound original
statistical matrix model, nowadays evolved into our own artificial neural
network model, DEEP LEARNING implemented on our proprietary computer software
which allows us in facing the jet milling energy process with method and in
an exhaustive way.
AI, Deep Learning artificial neural networks are the natural evolution to
our original Statistical Matrix Model.
The lack of a sound theory for the micronization process comparable to
those existing for the other industrial processes is now definitively addressed
by Deep Learning models.
DATASETS CONTENT
 Feed rate
prediction
Specifically selected and measured
points, #8 in/out psd
Product nature
rheology classification
Fixed pressure to the Ring,
inference pressure for the Venturi
Dedicated milling
chamber dataset
ADVANCED AI BASED JET MILL SYSTEMS
J-10 designed for
nce
J-20
J-25 J-30 designed for r&d
J-40
J-50 J-70 designed for pilot or small production
J-100
J-125 J-150 designed for small production
J-200
J-300 J-400 designed for medium wide production
We, at TECNOLOGIA MECCANICA, have developed and trained our own AI model able
to predict the MICRONIZATION PROTOCOL based on real Datasets content.
The DATASETS are all, their consistency guarantees the right weights and
biases for an extremely high/fine prediction level.
Please get in contact with us by filling in our "contact us"
form, you will
receive an engineered solution to your micronization process
application.
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