A novel approach with time-invariant transition matrix for surface location error prediction in low radial immersion milling

2018 ◽  
Vol 101 (5-8) ◽  
pp. 1267-1274 ◽  
Author(s):  
Yuebang Dai ◽  
Hongkun Li ◽  
Jinxin Yao ◽  
Shengxian Liu
Keyword(s):  
Transition Matrix ◽  
Error Prediction ◽  
Location Error ◽  
Novel Approach ◽  
Surface Location Error ◽  
Surface Location ◽  
Time Invariant ◽  
Low Radial Immersion

Chatter vibration and surface location error prediction for helical end mills

2008 ◽  
Vol 48 (3-4) ◽  
pp. 350-361 ◽  
Author(s):  
Brian P. Mann ◽  
Ben T. Edes ◽  
Sam J. Easley ◽  
Keith A. Young ◽  
Kong Ma
Keyword(s):  
Error Prediction ◽  
Location Error ◽  
Chatter Vibration ◽  
Surface Location Error ◽  
End Mills ◽  
Surface Location

On a Numerical Method for Simultaneous Prediction of Stability and Surface Location Error in Low Radial Immersion Milling

2011 ◽  
Vol 133 (2) ◽  
Author(s):  
Ye Ding ◽  
LiMin Zhu ◽  
XiaoJian Zhang ◽  
Han Ding
Keyword(s):  
Time Integration ◽  
Integration Scheme ◽  
Location Error ◽  
Time Integration Method ◽  
Surface Location Error ◽  
Simultaneous Prediction ◽  
Surface Location ◽  
Dynamic Map ◽  
Precise Time Integration ◽  
Low Radial Immersion

This brief proposes a numerical approach for simultaneous prediction of stability lobe diagrams and surface location error in low radial immersion milling based on the direct integration scheme and the precise time-integration method. First, the mathematical model of the milling dynamics considering the regenerative effect is presented in a state space form. With the cutter tooth passing period being divided equally into a finite number of elements, the response of the system is formulated on the basis of the direct integration scheme. Then, the four involved time-variant items, i.e., the time-periodic coefficient item, system state item, time delay item, and static force item in the integration terms of the response, are discretized via linear approximations, respectively. The corresponding matrix exponential related functions are all calculated by using the precise time-integration method. After the state transition expression on one small time interval being constructed, an explicit form for the discrete dynamic map of the system on one tooth passing period is established. Thereafter, the milling stability is predicted via Floquet theory and the surface location error is calculated from the fixed point of the dynamic map. The proposed method is verified by the benchmark theoretical and experimental results in published literature. The high efficiency of the algorithm is also demonstrated.

scholarly journals Two degree of freedom frequency domain surface location error prediction

2017 ◽  
Vol 48 ◽  
pp. 234-242 ◽  
Author(s):  
Kadir Kiran ◽  
Mark Rubeo ◽  
Mehmet Cengiz Kayacan ◽  
Tony Schmitz
Keyword(s):  
Frequency Domain ◽  
Degree Of Freedom ◽  
Error Prediction ◽  
Location Error ◽  
Surface Location Error ◽  
Surface Location ◽  
Two Degree Of Freedom

Surface Location Error in Milling

2009 ◽  
pp. 173-198
Author(s):  
Tony L. Schmitz ◽  
Kevin S. Smith
Keyword(s):  
Location Error ◽  
Surface Location Error ◽  
Surface Location

Adaptive Active Chatter Control in Milling Processes

2013 ◽  
Vol 136 (2) ◽  
Author(s):  
Zhiyong Chen ◽  
Hai-Tao Zhang ◽  
Xiaoming Zhang ◽  
Han Ding
Keyword(s):  
Performance Improvement ◽  
Adaptive Algorithm ◽  
Passive Control ◽  
Dynamic Phenomenon ◽  
Location Error ◽  
Machining Processes ◽  
Surface Location Error ◽  
Chatter Control ◽  
Surface Location ◽  
Fourier Series Analysis

Chatter is an undesirable dynamic phenomenon in machining processes, which causes cutting disturbance, overcut, quick tool wear, etc., and thus seriously impairs workpiece quality. To mitigate chatter, traditional methods called passive control focus on optimizing working spindle speeds and depths of cut. But they have inherent disadvantages in gaining highly efficient machining. On the contrary, the research in this paper is along the line of active control. Specifically, an adaptive algorithm is developed based on Fourier series analysis to deal with the so-called regenerative cutting force which causes chatter. As a result, chatter is remarkably mitigated. The performance improvement is illustrated by numerical simulation in terms of both stability lobes diagram (SLD) and surface location error (SLE).

Prediction of cumulative surface location error at the contact zone of in-process workpiece and milling tool

2020 ◽  
Vol 177 ◽  
pp. 105543 ◽  
Author(s):  
Dongqian Wang ◽  
Michael Löser ◽  
Yunhu Luo ◽  
Steffen Ihlenfeldt ◽  
Xibin Wang ◽  
...  
Keyword(s):  
Contact Zone ◽  
Location Error ◽  
Surface Location Error ◽  
Milling Tool ◽  
Surface Location

Assessment of Friction Behavior with Surface Location Error Analysis in Milling Process

2019 ◽  
Vol 823 ◽  
pp. 129-134
Author(s):  
N.A. Rafan ◽  
Siti Nur Madihah Ab Rashid ◽  
Z. Jamaludin
Keyword(s):  
Manufacturing Industry ◽  
Milling Process ◽  
Work Piece ◽  
Location Error ◽  
Friction Behavior ◽  
Error Location ◽  
Surface Location Error ◽  
Highly Nonlinear ◽  
Important Quality ◽  
Surface Location

Accurate roundness or circularity measurement is essential to obtain correct functioning of assemblies, making roundness an important quality control parameter in manufacturing industry. Since circular motion while milling a circular work piece leads to quadrant glitches, a phenomenon familiar with existence of highly nonlinear friction behavior, roundness measurement was conducted to investigate this surface location error due to feed rate of the moving work table. This paper presents friction behavior on a milling process circular work piece in line resulted from identified surface error location (SLE).

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