Paper Title:
Robotic High Speed Machining of Aluminum Alloys
  Abstract

The robotic machining is one of the most versatile manufacturing technologies. Its emerging helped to reduce the machining cost of complex parts. However, its application is sometimes limited due to the low rigidity of the robot. This low stiffness leads to high level of vibrations that limit the quality and the precision of the machined parts. In the present study, the vibration response of a robotic machining system was investigated. To do so, a new method based on the variation of spindle speed was introduced for machining operation and a new process stability criterion (CS) based on acceleration energy distribution and force signal was proposed for analysis. With the proposed method the vibrations and the cutting force signals were collected and analyzed to find a reliable dynamic stability machining domain. The proposed criterion and method were validated using data obtained during high speed robotic machining of 7075-T6 blocks. It was found that the ratio of the periodic energy on the total energy (either vibrations or cutting forces) is a good indicator for defining the degree of stability of the machining process. Besides, it was observed that the spindle speed with the highest ratio stability criterion is the one that has the highest probability to generate the best surface finish. The proposed method is rapid and permits to avoid trial-error tests during robot programming.

  Info
Periodical
Edited by
Chengyong Wang, Ning He, Ming Chen and Chuanzhen Huang
Pages
584-589
DOI
10.4028/www.scientific.net/AMR.188.584
Citation
I. Zaghbani, M. Lamraoui, V. Songmene, M. Thomas, M. El Badaoui, "Robotic High Speed Machining of Aluminum Alloys", Advanced Materials Research, Vol. 188, pp. 584-589, 2011
Online since
March 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: X.C. Luo, K. Cheng, R. Ward
Abstract:This paper attempts to correlate surface functionality generation with machining conditions by computer simulation and machining trials. The...
112
Authors: Zhe Qin, Cheng Yong Wang, Ying Ning Hu, Y.S. Lin
Abstract:High speed milling is widely employed in die and mold machining, and the attentions had been gradually paid on the details during the...
439
Authors: Shu You Zheng, Xipeng Xu
Abstract:Ultrasonic machining has been proven to be a promising machining method on hard and brittle materials. However, due to the absence of high...
150
Authors: Jin Yang Xu, Qing Long An, Ming Chen
I. Advanced Manufacturing Technology and Equipment
Abstract:This research is concerned with the analytical and experimental study on milling of 2024-T351 aluminum alloy with TiAlN coated carbide...
218