Abstract
In this paper, tool life, tool wear criteria, initial wear and cutting length at initial wear are picked out from 295 milling tool wear curves to calculate initial wear rate K0, final wear rate K1 and the ratio K between the two. By statistic analysis of K0, K1 and K, a statistical regularity between K0 and K1 is found, which indicates that the faster the initial wear, the shorter the tool life would be. Based on the statistical regularity, a milling tool rapid selection method is proposed, and an experiment on selecting the best tools for machining TC4 is carried out to verify the method. The results show that the method can reduce the consumption of material and time significantly, which confirm the efficiency of the method.
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.
