Adaptive feed control of operating tool in robot machine
Other Title(s)
التحكم في تغذية أدوات العمل في ألة روبوت
Joint Authors
Muhammad, Haydar Abd al-Baqi Abbas
Jawad, Aqil Thamir
Khmas, Samah Jalil Siba
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 10, Issue 2 (31 Dec. 2018), pp.79-87, 9 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Abstract EN
Adaptive ornate milling technology involves variation of milling operational parameters (particularly, cutter feed speed) based on wood surface texture at the processing spot.
It is appropriate to use wood fiber orientation optical recognition method for adaptive ornate milling.
Adaptive milling method is very efficient for ornate milling, when cutter moves along a complex trajectory in space, and feed direction and fibers alignment substantially alters along the trajectory.
Moreover, at sharp trajectory sections, adaptive choice of operational parameters permits to materially reduce the chance of wood damaging.
Adaptive milling method is most effective for poor value wood that has low stress-strain properties and complex surface structure, so is very prone to damage.
System for programmed PID controller adjustment involves computer with software for certain operating system, input/output hardware and connector cables.
Communication with facilities is typically performed by use of ОРС server.
While adjusting, an object is included in the control loop.
The system adjusts and PID controller is registering obtained parameters.
Obtained in such way controller parameters will be near optimal due to intuitive user interface, high computer capability and limitless system identification algorithms.
The format in the search shows schematic structure of automated control system of tool feed in adaptive milling, which uses CNC-controlled 3D vertical milling machine, control computer and camera for wood fiber orientation optical recognition, its signal being transferred to milling parameters optimization application.
It should be noted that at such milling with control of supply rate along the complex trajectory of supply of the milling tool, it would be possible to significantly reduce the percentage of shatters.
This would allow to significantly reduce economic expenditures for additional operations concerning the surface recovery.
American Psychological Association (APA)
Muhammad, Haydar Abd al-Baqi Abbas& Jawad, Aqil Thamir& Khmas, Samah Jalil Siba. 2018. Adaptive feed control of operating tool in robot machine. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 10, no. 2, pp.79-87.
https://search.emarefa.net/detail/BIM-839711
Modern Language Association (MLA)
Muhammad, Haydar Abd al-Baqi Abbas…[et al.]. Adaptive feed control of operating tool in robot machine. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 10, no. 2 (2018), pp.79-87.
https://search.emarefa.net/detail/BIM-839711
American Medical Association (AMA)
Muhammad, Haydar Abd al-Baqi Abbas& Jawad, Aqil Thamir& Khmas, Samah Jalil Siba. Adaptive feed control of operating tool in robot machine. al-Qadisiyah Journal for Computer Science and Mathematics. 2018. Vol. 10, no. 2, pp.79-87.
https://search.emarefa.net/detail/BIM-839711
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 86
Record ID
BIM-839711