Adaptive spindle-speed selection for chatter avoidance to achieve high-precision NC machining based on semi-discretization method

2017 ◽  
Author(s):  
Takaki Shimoda ◽  
Hiroshi Fujimoto
Keyword(s):  
High Precision ◽  
Nc Machining ◽  
Spindle Speed ◽  
Discretization Method ◽  
Speed Selection ◽  
Selection For

Spindle speed selection for tool life testing using Bayesian inference

2012 ◽  
Vol 31 (4) ◽  
pp. 403-411 ◽  
Author(s):  
Jaydeep M. Karandikar ◽  
Tony L. Schmitz ◽  
Ali E. Abbas
Keyword(s):  
Bayesian Inference ◽  
Tool Life ◽  
Spindle Speed ◽  
Life Testing ◽  
Speed Selection ◽  
Selection For

Spindle Speed Selection for High-Speed Milling of Titanium Alloy Curved Surface

2014 ◽  
Vol 29 (3) ◽  
pp. 364-369 ◽  
Author(s):  
Jian-wei Ma ◽  
Zhen-yuan Jia ◽  
Fu-ji Wang ◽  
Fu-da Ning
Keyword(s):  
Titanium Alloy ◽  
High Speed ◽  
Spindle Speed ◽  
Curved Surface ◽  
High Speed Milling ◽  
Speed Selection ◽  
Selection For

Stability analysis for variable spindle speed milling with helix angle using an improved semi-discretization method

2012 ◽  
Vol 56 (3) ◽  
pp. 648-655 ◽  
Author(s):  
QiZhi Xie ◽  
QiChang Zhang ◽  
Wei Wang ◽  
Gang Jin ◽  
JianXin Han
Keyword(s):  
Stability Analysis ◽  
Helix Angle ◽  
Spindle Speed ◽  
Discretization Method

The Application of NC Simulation in NC Automatic Programming

2014 ◽  
Vol 912-914 ◽  
pp. 1548-1551
Author(s):  
Mei Lan Bao
Keyword(s):  
High Precision ◽  
Manufacturing Industry ◽  
Test Validity ◽  
Nc Machining ◽  
Automatic Programming ◽  
Nc Programming ◽  
Nc Simulation ◽  
The World ◽  
Complex Parts

Our country is manufacturing industry power in the world, NC machining is used in mechanical manufacturing industry widesprealy. With the development of manufacturing industry, NC machining strides forward super-speed machining step by step. In order to achieve the machining requirement of speediness and high-precision of complex parts, automatic programming becomes the main programming pattern of NC programming. Ensuring validity and optimizing of NC programs is fundamental demand of automatic programming. So as to test validity and optimizing of NC programs, NC simulation is obtained widespread use in the process of programming.

scholarly journals PET Radiomic Features Variability: A Phantom Study on the Influence of Reconstruction and Discretization Method

2021 ◽  
Vol 15 ◽  
pp. 598
Author(s):  
Marcos Antônio Dórea Machado ◽  
Jean Lucas Pereira Pita ◽  
Eduardo Martins Netto
Keyword(s):  
Textural Features ◽  
Features Selection ◽  
Discretization Method ◽  
Large Area ◽  
First Order ◽  
Reconstruction Methods ◽  
Long Run ◽  
Short Run ◽  
Selection For ◽  
Counting Statistics

We aimed to explore the variability of PET radiomic features for varying reconstruction methods and quantification settings. The IQ-NEMA phantom was scanned 5 times with a sphere to background F-18 concentration ratio of 10:1. The activity and the image duration were matched to result typical counting statistics for 18F-FDG oncologic examinations. The images were reconstructed with OSEM and PSF reconstructions, then 99 radiomic features were extracted using two discretization methods: fixed bin number (FBN = 16, 32 and 64 gray levels) and fixed bin width (FBW=0.25). This scheme resulted in a total of 1,188 features, classified as having low (<5.0%), intermediate (5-29.9%) or high (≥30%) variability. In general, FBW discretization yielded more stable features. A total of 499, 558 and 131 features had low, intermediate and high variability, respectively. First order features such as energy and entropy and textural features such as entropy (GLCM), long run emphasis and short run emphasis (GLRLM) were more likely to present low variability, regardless the reconstruction and discretization method. Other textural features such as large area emphasis (GLSZM), zone percentage (GLSZM) and complexity (NGTDM) had more frequently intermediate or high variability.These findings could facilitate features’ selection for further PET radiomic applications.

NC Programming and Error Discussion in Grinding for Cylindrical Cam’s Groove

2009 ◽  
Vol 416 ◽  
pp. 327-331
Author(s):  
Zi Qiang Zhang ◽  
Shang Lin Wen ◽  
Shao Bo Chen ◽  
Zhi Dan Zheng
Keyword(s):  
High Precision ◽  
Nc Machining ◽  
Computational Error ◽  
Programming System ◽  
Pressure Angle ◽  
Nc Programming ◽  
Different Types ◽  
Geometry Error

The grinding for cylindrical cam’s groove means grinding for groove’s flanks. For cylindrical cam with translating cylindrical followers, an auto-programming system for NC machining of cylindrical cam’s groove is developed. It can be applied to machine cylindrical cam with different types of curve grooves, by using cutter or wheel with different diameter. For validating geometry precision of the auto-programming system, emulation is carried out using the VERICUT, which is a NC machining emulator system. It is showed by the results of the emulation, there is excess of geometry error at bottom of groove when following situations are met: big pressure angle, high precision requirement and big diameter difference between wheel and roller. An important origin of such excess is computational error introduced by the auto-programming system in calculating the coordinates of wheel center.

Speed selection for the wavefronts of the lattice Lotka-Volterra competition system

2020 ◽  
Vol 268 (7) ◽  
pp. 3880-3902
Author(s):  
Hongyong Wang ◽  
Zhe Huang ◽  
Chunhua Ou
Keyword(s):  
Competition System ◽  
Speed Selection ◽  
Selection For
Sign in / Sign up

Export Citation Format

Share Document