The use of industrial robots for machining could lead to high cost and energy savings for the manufacturing industry. Machining robots offer several advantages respect to CNC machines such as flexibility, wide working space, adaptability and relatively low cost. However, there are some drawbacks that are preventing a widespread adoption of robotic solutions namely lower stiffness, vibration/chatter problems and lower accuracy and repeatability. Normally due to these issues conservative cutting parameters are chosen, resulting in a low material removal rate (MRR). In this article, an example of a modal analysis of a robot is presented. For that purpose the Tap-testing technology is introduced, which aims at maximizing productivity, reducing the uncertainty in the selection of cutting parameters and offering a stable process free from chatter vibrations.
Skip Nav Destination
,
,
,
Article navigation
16 October 2017
PROCEEDINGS OF THE 20TH INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2017
26–28 April 2017
Dublin, Ireland
Research Article|
October 16 2017
Reducing the uncertainty in robotic machining by modal analysis
Iñigo Alberdi;
Iñigo Alberdi
a)
1
Faculty of Engineering, Mondragon University
, Mondragon 20500, Spain
Search for other works by this author on:
Jose Angel Pelegay;
Jose Angel Pelegay
b)
2
Danish Advanced Manufacturing Research Center
, Sandagervej 10, 7400 Herning, Denmark
Search for other works by this author on:
Pedro Jose Arrazola;
Pedro Jose Arrazola
c)
1
Faculty of Engineering, Mondragon University
, Mondragon 20500, Spain
Search for other works by this author on:
Klaus Bonde Ørskov
Klaus Bonde Ørskov
d)
2
Danish Advanced Manufacturing Research Center
, Sandagervej 10, 7400 Herning, Denmark
Search for other works by this author on:
Iñigo Alberdi
1,a)
Jose Angel Pelegay
2,b)
Pedro Jose Arrazola
1,c)
Klaus Bonde Ørskov
2,d)
1
Faculty of Engineering, Mondragon University
, Mondragon 20500, Spain
2
Danish Advanced Manufacturing Research Center
, Sandagervej 10, 7400 Herning, Denmark
AIP Conf. Proc. 1896, 090007 (2017)
Citation
Iñigo Alberdi, Jose Angel Pelegay, Pedro Jose Arrazola, Klaus Bonde Ørskov; Reducing the uncertainty in robotic machining by modal analysis. AIP Conf. Proc. 16 October 2017; 1896 (1): 090007. https://doi.org/10.1063/1.5008114
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
The implementation of reflective assessment using Gibbs’ reflective cycle in assessing students’ writing skill
Lala Nurlatifah, Pupung Purnawarman, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Related Content
High productivity mould robotic milling in Al-5083
AIP Conf. Proc. (May 2018)
Non-liquid alternative coolants in robotic machining
AIP Conf. Proc. (July 2019)
High productivity machining of holes in Inconel 718 with SiAlON tools
AIP Conf. Proc. (October 2016)
Towards inverse simulation: Effect of material parameters on machining predictions
AIP Conf. Proc. (July 2019)
Influence of chip segmentation of Ti64 on the topography of the machined surface
AIP Conf. Proc. (July 2019)