Abstract
We propose a method of controlling the tightening operation of bolts using a device called an impact wrench. A neural network is used for classifying the material and shape of the work to which the bolts are being tightened. Then another neural network is used for estimating the relationship between the clamping force of the bolt and its incremental angle. The input to the actuator of the impact wrench is determined based on the estimated value of the clamping force. A simulation study shows satisfactory results in comparison to those achieved by a skilled factory worker.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
