Solutions for Measuring Weight of Bead Wires

Article Preview

Abstract:

This article describes the design options of sensing weight based on the principle of strain gauges. Measuring method is based on the measurement of deformations on the surface of the body, which is converted to the change in electrical resistance. This is an electrical resistance sensor, which consists of smaller cross-section wire of a suitable material and substrate for wire attached. Depending on what principle the sensor works, there are various types: such as bending, membrane, staple, ring and other. Moreover, the sensor can be made of different materials, most often of steel or aluminum alloy. The article describes two options of measuring the bead wires: measurement about the effector and measurement on the measuring stand.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

145-151

Citation:

Online since:

June 2016

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] A. Olaru, S. Olaru, L. Ciupitu, Assisted research of the neural network by bach propagation algorithm, OPTIROB 2010 International Conference, Calimanesti, Romania, The RPS Singapore, Book, 2010. ISBN 978−1−4244−8867−4, pp.194-200.

Google Scholar

[2] J. SKAŘUPA, P. ZELINA: Hlavice priemyselných robotov. Ostrava 1993: 100str. ISBN 80-7078-210.

Google Scholar

[3] L. Páchniková, R. Jánoš, Ľ. Šidlovská Manufacturing systems suitable for globalized market. In: Applied Mechanics and Materials. Vol. 282 (2013), ISSN 1660-9336, pp.230-234.

DOI: 10.4028/www.scientific.net/amm.282.230

Google Scholar

[4] O. Staš, M. Tolnay, D. Kravec, M. Bachratý, Jedinák, Michal: Robotic manipulation system with adaptive effector reflecting different steel plate diffraction analyzed by machine vision algorithms. In: MM Science Journal. - ISSN 1803-1269(P). - Special Edition: Proceedings of the RAAD 2011. 20th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD), October 5-7, 2011, Brno, Czech Republic. - , 2011, pp.78-83.

DOI: 10.1109/raad.2010.5524538

Google Scholar

[5] A. Olaru, A. Oprean, S. Olaru, D. Paune, Optimization of the neural network by using the LabVIEW instrumentation, IEEE ICMERA 2010 Proceedings, ISBN 978-1-4244-8867-4, IEEE catalog number CFP1057L-ART, pp.40-44, (2010).

DOI: 10.4028/www.scientific.net/amr.463-464.1011

Google Scholar

[6] J. Semjon, V. Baláž, M. Vagaš: Robotized cell for spot welding with robot KUKA. In: OPTIROB 2007. Bren Publishing House, ISBN 9789736486562, pp.215-218.

Google Scholar

[7] M. Vagaš, J. Semjon, M. Hajduk, L. Páchniková, M. Lipčak: The view to the current state of robotics. In: Optirob 2011: International proceedings of computer science and information technology : International konference on optimalization of the robots and manipulatos : Vol. 8, Sinaia- Romania. - Singapore: IACSIT press, 2011, ISSN 2010-460X, pp.205-209.

Google Scholar

[8] P. Tuleja, Ľ. Šidlovská, M. Hajduk: Efector Mechanism with unilateral gripping. In: TIAM - Technologia i automatyzacja montażu. No. 1 (2013), ISSN 1230-7661, pp.14-20.

DOI: 10.4028/www.scientific.net/amm.332.181

Google Scholar

[9] http: /www. emsyst. eu/tenzometre/default. html.

Google Scholar