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Automatsko postavljanje elektroničkih komponenti u 3D elektromagnetskom alatu

Authors: Cirkveni, Andrej;

Automatsko postavljanje elektroničkih komponenti u 3D elektromagnetskom alatu

Abstract

A Python script is being developed for automatic placement of electronic components in the Ansys Electronics Desktop simulation software. The script uses a PNP (Pick and Place) file that contains information about the position and orientation of the components on the printed circuit board. Based on this data, the script utilizes a library of component models and places the models on the board in AEDT. The script utilizes the PyAEDT library to communicate with the AEDT software. This automated approach reduces component placement time and minimizes human errors.

U radu se razvija Python skripta za automatsko postavljanje elektroničkih komponenti u Ansys Electronics Desktop simulacijskom softveru. Skripta koristi PNP (Pick and Place) datoteku, koja sadrži informacije o položaju i orijentaciji komponenata na tiskanoj pločici. Na temelju tih podataka, skripta koristi biblioteku modela komponenata i postavlja modele na pločicu u AEDT. Skripta koristi PyAEDT biblioteku za komunikaciju s AEDT softverom. Ovaj automatizirani pristup smanjuje vrijeme postavljanja komponenata i minimizira ljudske pogreške.

Related Organizations
Keywords

Ansys, PyAEDT, TEHNIČKE ZNANOSTI. Računarstvo., AEDT, PNP, Automatizacija, 3D components, Automation, electronic components, Hfss, TECHNICAL SCIENCES. Computing., elektroničke komponente, 3D komponente, Q3d

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green