In-process tool point FRF identification under operational conditions using inverse stability solution

Dynamic modeling and stability prediction in robotic machining

“…1a). Based on the milling theory proposed by Budak and Altintas [2], the cutting force model in milling operations can be written in the form [23,24] …”

Identification of bearing dynamics under operational conditions for chatter stability prediction in high speed machining operations

“…Variations in tool point FRF under operating conditions can be experimentally identified using the method proposed by Özş ahin et al [28]. In this method, first, analytical expressions of chatter frequency and corresponding axial depth of cut are written in terms of process conditions, cutting force coefficients and structural dynamics of spindle-holder-tool assembly.…”

“…Main advantage of this method is that the necessity of expensive equipments, complicated experimental setups and signal processing are eliminated. Method suggested [28] requires impact testing for the idle FRF measurement and a simple microphone for the determination of chatter frequency and stable axial depth limit.…”

“…In order to identify bearing parameters under operational conditions, first in-process tool point FRF is recalculated using inverse stability solution procedure proposed by Özş ahin et al [28]. For that purpose, chatter tests are performed on 7075 aluminum workpiece with 100% radial immersion and 0.1 mm/tooth feed.…”

“…Then, in process tool point FRFs are calculated using the inverse stability solution procedure. Details of the identification procedure are given in the recent study of the authors [28].…”