Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Online trajectory planning for nonstiff robotic deburring machines based on dynamic movement primitives method
Download
index.pdf
Date
2018
Author
Uğurlu, Musab Çağrı
Metadata
Show full item record
Item Usage Stats
237
views
229
downloads
Cite This
Robotic deburring has an advance of precise and repeatable machining process on specific surface profiles. However, different from traditional deburring, deburring robots require generated trajectories on a workpiece with unknown chip thickness, which is a hard task due to the low stiffness of robot arm and abrasive tool used. This study presents a method for planning the online trajectory of a deburring robot by considering tool deflection based on the motion primitives trained from offline trajectories. From offline trajectories, task-related movements of 6-DoF deburring robot and interaction forces between the tool and the known workpiece while performing the deburring process are recorded. Then, by utilizing the laser scanner, the surface of the workpiece is measured after the deburring process in order to determine the difference between the actual depth of cut of the workpiece and given set depth of cut. The remained material is mainly because of the low stiffness of the tool which creates tool deflection. Using force data as perception and remained material as action, Dynamic Movement Primitives method is modified, then trained and used to predict deflection on the tool. The linear deflection and angular deviation compensation are performed in order to make adjustments on the trajectory while performing the deburring operation online. Finally, the form error results of the robotic deburring process with DMP is compared with three other processes; Standard robotic deburring process, robotic deburring with PID control and robotic deburring with Active Disturbance Rejection control.
Subject Keywords
Robotics.
,
Deburring.
,
Trajectories (Mechanics).
URI
http://etd.lib.metu.edu.tr/upload/12622762/index.pdf
https://hdl.handle.net/11511/27650
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Surfactant-modified multiscale composites for improved tensile fatigue and impact damage sensing
Yesil, Sertan; Winkelrnann, Charles; Bayram, Göknur; La Saponara, Valeria (Elsevier BV, 2010-10-25)
This paper documents the mechanical and electrical performance of self-sensing conductive polymer composites prepared with a low-cost technique and small hardware, able to considerably improve the dispersion and the surface adhesion of multi-walled carbon nanotubes (CNTs) in epoxy resin with respect to amine-modified CNTs and as-received CNTs. Surface treatment of the CNTs is performed using hexamethylene diamine, or a mix of sulfuric and nitric acid, and one of two surfactants (for the diamine treatment on...
Active compliance control structure design for a robotic-grinding machine
Dönder, Abdülhamit; Konukseven, Erhan İlhan; Department of Mechanical Engineering (2017)
Grinding operation has an advantage of precise form shaping in machining processes. However, if the surface profile is not known before the machining process, it is hard to obtain an accurate surface profile using a grinding operation. In this work, a novel method to compensate the form shaping errors in grinding operations due to the lack of a priori knowledge of the surface profile will be presented. Grinding operation on a workpiece with an unknown surface profile is aimed. Compliance force control is im...
Fabrication of microfluidic devices for dielectrophoretic and acoustophoretic applications using high precision machining
Soheila, Zenaili; Çetin, Barbaros; Özer, Mehmet Bülent; Süleyman, Büyükkoçak (2014-07-03)
In this study, the fabrication of microfluidic devices for dielectrophoretic and acoustophoretic based applications with high-precision CNC machining has been presented. For both devices, molds out of stainless steel have been fabricated, and polymer molding is implemented. For dielectrophoretic device, the metal electrodes have been fabricated using high-precision machining and embedded into the device during the molding process. For acoustophoretic device, piezoelectric slides have been embedded into the ...
Investigating the effects of hardening of aluminium alloys on equal-channel angular pressing-A finite-element study
Karpuz, P.; Simsir, C.; Gür, Cemil Hakan (Elsevier BV, 2009-03-15)
Equal-channel angular pressing (ECAP) is a promising severe plastic deformation method for production of ultrafine-grained bulk metals and alloys with considerably improved mechanical properties. In this study, numerical experiments were carried out to investigate the effect of strain hardening of aluminum alloys on the process performance of ECAP via finite element modeling. In the constitutive model, isothermal-plane strain, frictionless condition was assumed. The numerical results showed that strain hard...
Evaluation of compression algorithms for motion command generation
Yaman, Ulaş; Dölen, Melik (2011-04-15)
This paper focuses on a direct command generation technique for Computer Numerical Control (CNC) machine systems. In this paradigm, higher-order differences of a given trajectory (i.e, position) are computed and the resulting data are compacted via data compression techniques. As a part of the command generation scheme, the paper also introduces a new data compression technique titled ΔY10. Apart from this new method, the performances of the proposed generator employing different compression algorithms (suc...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Ç. Uğurlu, “Online trajectory planning for nonstiff robotic deburring machines based on dynamic movement primitives method,” M.S. - Master of Science, Middle East Technical University, 2018.