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Dual Quaternion-Based Kinematic Modelling of Serial Manipulators Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Estimation of Burr Dimensions Using Image Processing for Robotic Deburring

Authors : Rohini Y. Bhute, M. R. Rahul

Published in: Advances in Mechanical Engineering

Publisher: Springer Singapore

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Abstract

This paper discusses an effective method to identify the burr location for 2D and 3D workpiece. The proposed method uses an image processing technique to estimate the dimension of the burr from an image. A set of image processing algorithms are developed for estimating the location as well as the dimension of the burr. The burr dimensions are verified using coordinate measuring machine. The burr data generated are used for planning the deburring trajectory. ABB IRB 120 robot is used to validate the result experimentally. The result clearly shows the effectiveness of this approach.

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previous chapter Crushing Behavior of Thick Circular High Strength Aluminum Tube Against Quasi-static Axial Loading
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Literature
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Ryuh B-S, Pennock GR (2006) Robot automation systems for deburring. In: Industrial robotics: programming, simulation and applications, p 15
2.
Li CJ, Park CH, Kyung JH, Chung GJ (2011) Study on teaching path reconstruction algorithm based direct teaching and playback method. In: Eighth international conference on ubiquitous robots and ambient intelligence (Incheon 2011)
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Jinno M et al (1999) Teaching-less robot system for finishing workpieces of various shapes, Kyongju, South Korea, 17–21 Oct 1999
4.
Princely FL, Selvaraj T (2014) Vision assisted robotic deburring of edge burrs in cast parts. In: 12th Global Congress on Manufacturing and Management (GCMM)
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Idaku I (2012) A coded structured light projection method for high-frame-rate 3D image acquisition. In: Ventzas D (ed) Advanced image acquisition, processing techniques and applications, 14 Mar 2012
Metadata
Title
Estimation of Burr Dimensions Using Image Processing for Robotic Deburring
Authors
Rohini Y. Bhute
M. R. Rahul
Copyright Year
2021
Publisher
Springer Singapore
Book
Advances in Mechanical Engineering

Print ISBN: 978-981-15-3638-0

Electronic ISBN: 978-981-15-3639-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-3639-7_67

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