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Wyświetlanie 1-2 z 2
Tytuł:
Autonomous off-line robot programming for powder suction operation with PythonOCC
Autorzy:
Bagherzadeh, Faramarz
Powiązania:
https://bibliotekanauki.pl/articles/99857.pdf
Data publikacji:
2020
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
OpenCasCade
PythonOCC
off-line robot programming
powder bed printer
powder suction
Opis:
While a powder bed 3D printer device is easy to use, the cleaning task after each print is a tedious job. Consequently, a proper approach is to employ an industrial robot for this task. The robot should be programmed quickly and efficiently with the off-line robot programming (OLP) method. In this paper, an OLP system based on Python and OpenCasCade libraries is introduced to generate robot trajectories for cleaning the printer powder bed immediately and autonomously. The cleaning operation is divided into three sub-operations: top layer raster, raster from the offset, and offset oriented. Several algorithms are employed to satisfy sub-operations autonomously from a CAD model. Raster path, wire, and yaw angle calculators are essential algorithms. Finally, a graphical simulation illustrates the operation efficiency. The proposed system can generate a cleaning path immediately and due to utilizing open resource libraries, there is a wide range of applicable personalization.
Źródło:
Journal of Machine Engineering; 2020, 20, 3; 30-43
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Combined system for off-line optimization and adaptive cutting force control
Autorzy:
Cus, F.
Balic, J.
Powiązania:
https://bibliotekanauki.pl/articles/100078.pdf
Data publikacji:
2010
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
manufacturing processes
adaptive cutting force control
milling simulator
neural control strateg
off-line optimization
Opis:
The choice of manufacturing processes is based on cost, time and precision. A remaining drawback of modern CNC systems is that the machining parameters, such as feed-rate, cutting speed and depth of cut, are still programmed off-line. The machining parameters are usually selected before machining accordin to programmer's experience and machining handbooks. To prevent damage and to avoid machining failure the operating conditions are usually set extremely conservative. As a result, many CNC systems are inefficient and run under the operating conditions that are far from optimal . Even if the machining parameters are optimised off-line by an optimisation algorithm they cannot be adjusted during the machining process. In this paper, a neural adaptiv controller is developed and some simulations and experiments with the neural control strategy are carried out. The results demonstrate the ability of the proposed system to effectively regulate peak forces for cutting conditions commonly encountered in end milling operations.
Źródło:
Journal of Machine Engineering; 2010, 10, 2; 25-35
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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