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ORIGINAL PAPER
Optimization of Process Parameters of Edge Robotic Deburring with Force Control
1
Faculty of Mechanical Engineering and Aeronautics, Department of Applied Mechanics and Robotics, Rzeszow University of Technology, Powstancow Warszawy 12 St., 35-959 Rzeszow, Poland
Online publication date: 2016-12-08
Publication date: 2016-12-01
International Journal of Applied Mechanics and Engineering 2016;21(4):987-995
KEYWORDS
ABSTRACT
The issues addressed in the paper present a part of the scientific research conducted within the framework of the automation of the aircraft engine part manufacturing processes. The results of the research presented in the article provided information in which tolerances while using a robotic control station with the option of force control we can make edge deburring.
FUNDING
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
CONFLICT OF INTEREST
The authors declare that they have no conflict of interest.
DATA AVAILABILITY
All data generated or analysed during this study are included in this published article.
REFERENCES (9)
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2.
Burghardt A., Kurc K. and Szybicki D. (2016): Robotic automation of the turbo-propeller engine blade grinding process. – Applied Mechanics and Materials, vol.817.
3.
Burghardt A., Kurc K., Muszyńska M. and Szybicki D. (2014): Robotic Station With Force Control. – Modeling Engineering, vol.22, No.53, pp.30-36.
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Burghardt A., Kurc K., Muszyńska M. and Szybicki D.: Robotic position to verify the machining process. – Modelowanie inżynierskie, vol.21, No.52, pp.23-29.
5.
Hendzel Z., Burghardt A., Gierlak P. and Szuster M. (2014): Conventional and fuzzy force control in robotised machining. – In Solid State Phenomena, vol.210, pp.178-185.
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Odham A. (2007): Successful robotic deburring is really a matter of choices. – Tool Prod Mag.
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Shiakolas P.S., Labalo D. and Fitzgerald J.M. (1999): RobSurf: A Near Real Time OLP System for Robotic Surface Finishing. – pp.2315-2328.
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Gierlak P. (2012): Hybrid position/force control of the SCORBOT-ER 4pc manipulator with neural compensation of nonlinearities. – Lecture Notes in Computer Science, LNAI 7268 (PART 2), pp.433-441, DOI: 10.1007/978-3-642-29350-4_52.
9.
Gierlak P. (2014): Hybrid position/force control in robotised machining. – Solid State Phenomena, vol.210, pp.192-199, Trans Tech Publications, Switzerland.
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| eISSN: | 2353-9003 |
| ISSN: | 1734-4492 |
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