Modeling of Machining Force Error in Aspheric Surface Polishing by Hybrid Movement/Force Control Policy

2011 ◽  
Vol 101-102 ◽  
pp. 795-799
Author(s):  
Gang Ming Wang ◽  
Jian Ming Zhan

By the hybrid movement/force control policy, machining force could be controlled in aspheric surface polishing. However, the controller could not eliminate and restrain the errors of position and pose which would disturb the force controll consequentially in real system. In this paper, an angle is defined to express all the errors of position and pose for aspheric surface polishing, and the errors are modeled for machining force controll. By detecting this angle, the errors of position and pose could be used by the system controller to eliminate the disturbance in hybrid movement/force controll system and compensate feed movement controll in aspheric surface polishing. Simulation shows that the model could effectively express the errors of position and pose .

2014 ◽  
Vol 53 (9) ◽  
pp. 092011 ◽  
Author(s):  
Frantisek Prochaska ◽  
Jaroslav Polak ◽  
Ondrej Matousek ◽  
David Tomka

2018 ◽  
Vol 792 ◽  
pp. 179-184 ◽  
Author(s):  
Ming Feng ◽  
Yong Bo Wu ◽  
Teruo Bitoh ◽  
Tsunehisa Suzuki ◽  
Mitsuyoshi Nomura ◽  
...  

Previous researches have confirmed that MCF (magnetic compound fluid) slurry shows outstanding performance in the nanoprecision polishing of flat surfaces and V-grooves. However, no investigations have been conducted on the polishing of aspheric surfaces using MCF slurry. In this work, a novel method employing a doughnut-shaped MCF polishing tool and a 6-DOF manipulator has been proposed for the aspheric surface polishing. The time consumption for forming stable polishing tool and its final appearance are investigated. Flat aluminum alloy workpieces that can be considered as a kind of aspheric elements with infinite curve radius were adopted in the investigation of the polished forces under variable parameters. As a typical experimental result, with MCF3 slurry, 2.5ml volume of supplied slurry and work gap 3.5 mm, the surface roughness Ra decreases from 125nm to almost 10nm after 90 min polishing, confirming that the proposed method has the potential to polish aspheric surfaces.


1999 ◽  
Vol 123 (3) ◽  
pp. 528-532 ◽  
Author(s):  
Lienjing Chen ◽  
Robert J. Stango ◽  
Vikram Cariapa

In this paper a force-control model is developed for edge deburring with filamentary brushes. The model is based upon experimentally obtained “master curves,” that is, material removal data that corresponds to the actual machining performance of the brush/workpart system during the incremental burr removal process. This information is used in conjunction with the on-line brush machining force to compute the brush feed rate that ensures complete removal of the edge burr. Computer simulated results are reported for the removal of an edge burr having unknown variable height. The results indicate that the present force-control model can provide a straight forward approach for computing brush feed rates that lead to complete removal of edge burrs, and suggests that implementation can be carried out using a force sensor and a simple control strategy.


2001 ◽  
Vol 2001.3 (0) ◽  
pp. 271-272
Author(s):  
Shozo Suzuki ◽  
Toshio Kasai ◽  
Mohammad Jashim Uddin ◽  
Junichi Ikeno ◽  
Kenichiro Horio ◽  
...  

2021 ◽  
Author(s):  
Zhimin Rao ◽  
Haitao Liu ◽  
Jieli Wu ◽  
Qiang Chen ◽  
Dailu Wang

2003 ◽  
Vol 125 (3) ◽  
pp. 423-430 ◽  
Author(s):  
Sung I. Kim ◽  
Robert G. Landers ◽  
A. Galip Ulsoy

Force control is an effective means of improving the quality and productivity of machining operations. Metal cutting force models are difficult to accurately generate and, thus, there is large uncertainty in the model parameters. This has lead to investigations into robust force control techniques; however, the approaches reported in the literature include known process changes (e.g., a change in the depth-of-cut) in the model parameters variations. These changes create substantial variations in the model parameters; thus, only loose performance bounds may be achieved. A novel robust force controller is presented in this paper that explicitly compensates for known process effects and accounts for the force-feed nonlinearity inherent in metal cutting operations. The controller is verified via simulation and experimental studies and the results demonstrate that the proposed controller is able to maintain tighter performance bounds than robust controllers that include known process changes in the model parameter variations.


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