scholarly journals Analysis on milling stability of fuel tank's bottom combined with surface location error prediction

2019 ◽  
Vol 2 (1) ◽  
pp. 80-88
Author(s):  
Fan Qiao ◽  
Fei Ren ◽  
Xiao Liu
Keyword(s):  
Error Prediction ◽  
Location Error ◽  
Milling Stability ◽  
Surface Location Error ◽  
Surface Location

Simultaneous Stability and Surface Location Error Predictions in Milling

2004 ◽  
Vol 127 (3) ◽  
pp. 446-453 ◽  
Author(s):  
Brian P. Mann ◽  
Keith A. Young ◽  
Tony L. Schmitz ◽  
David N. Dilley
Keyword(s):  
A Priori ◽  
Milling Process ◽  
Flip Bifurcation ◽  
Location Error ◽  
Element Analysis ◽  
Milling Stability ◽  
Surface Location Error ◽  
Solution Convergence ◽  
Surface Location ◽  
Stability And Accuracy

Optimizing the milling process requires a priori knowledge of many process variables. However, the ability to include both milling stability and accuracy information is limited because current methods do not provide simultaneous milling stability and accuracy predictions. The method described within this paper, called Temporal Finite Element Analysis (TFEA), provides an approach for simultaneous prediction of milling stability and surface location error. This paper details the application of this approach to a multiple mode system in two orthogonal directions. The TFEA method forms an approximate analytical solution by dividing the time in the cut into a finite number of elements. The approximate solution is then matched with the exact solution for free vibration to obtain a discrete linear map. The formulated dynamic map is then used to determine stability, steady-state surface location error, and to reconstruct the time series for a stable cutting process. Solution convergence is evaluated by simply increasing the number of elements and through comparisons with numerical integration. Analytical predictions are compared to several different milling experiments. An interesting period two behavior, which was originally believed to be a flip bifurcation, was observed during experiment. However, evidence is presented to show this behavior can be attributed to runout in the cutter teeth.

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

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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