TY - GEN
T1 - Parameter estimation during automated screw insertions
AU - Klingajay, Mongkorn
AU - Seneviratne, Lakmal D.
AU - Althoefer, Kaspar
N1 - Funding Information:
The authors are grateful to the Director CSIO for allowing the publication of this paper. Thanks are also due to Department of Science and Technology, Govt of India for funding this project.
Publisher Copyright:
© 2002 IEEE.
PY - 2002
Y1 - 2002
N2 - Threaded fastenings are a common assembly method, accounting for over a quarter of all assembly operations. Threaded fastenings are popular because they permit easy disassembly for maintenance, repair, relocation and recycling. Screw insertions are typically carried out manually and are a difficult problem to automate. As a result there is very little published research on automating threaded fastenings, and most research on automated assembly focus on the peg-inhole assembly problem. This paper investigates the problem of automated monitoring of the screw insertion process. The monitoring problem deals with predicting the integrity of a threaded insertion, based on the torque vs. insertion depth curve generated during the insertion. The authors have developed an analytical model to predict the torque signature signals during self-tapping screw insertions. However, the model requires parameters on the screw dimensions and plate material properties, and some of these parameters are difficult to obtain. This paper presents a study on on-line parameter estimation during screw fastenings. A methodology for estimating the friction properties and screw-diameter during a general self-tapping screw insertion process is presented. It is shown that friction and screw-diameter required by the model can be reliably estimated on-line. Computer simulation results, with and without simulation noise are presented to validate the estimation procedure.
AB - Threaded fastenings are a common assembly method, accounting for over a quarter of all assembly operations. Threaded fastenings are popular because they permit easy disassembly for maintenance, repair, relocation and recycling. Screw insertions are typically carried out manually and are a difficult problem to automate. As a result there is very little published research on automating threaded fastenings, and most research on automated assembly focus on the peg-inhole assembly problem. This paper investigates the problem of automated monitoring of the screw insertion process. The monitoring problem deals with predicting the integrity of a threaded insertion, based on the torque vs. insertion depth curve generated during the insertion. The authors have developed an analytical model to predict the torque signature signals during self-tapping screw insertions. However, the model requires parameters on the screw dimensions and plate material properties, and some of these parameters are difficult to obtain. This paper presents a study on on-line parameter estimation during screw fastenings. A methodology for estimating the friction properties and screw-diameter during a general self-tapping screw insertion process is presented. It is shown that friction and screw-diameter required by the model can be reliably estimated on-line. Computer simulation results, with and without simulation noise are presented to validate the estimation procedure.
UR - http://www.scopus.com/inward/record.url?scp=84872547760&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2002.1189311
DO - 10.1109/ICIT.2002.1189311
M3 - Conference contribution
AN - SCOPUS:84872547760
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 1019
EP - 1024
BT - IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Industrial Technology, IEEE ICIT 2002
Y2 - 11 December 2002 through 14 December 2002
ER -