Data Processing of Roundness Error Measurement Based on MATLAB

In this paper, applying planar straightness error assessment methods, in other words, the principle of minimum conditions and roundness error approach, further more, the least square circle will be used to the idea of space. By establishing the two space mathematical models to deal with the long-tube straightness error. It dramatically solves the problem to the space straightness error. In practice, the use of the ideas of the software can gain high accurate and high precise data, it can also consistent with the actual situation.

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Three-sensor tracing principle for crankshaft roundness error measurement during noncircular grinding process

10.1117/12.717156 ◽

2006 ◽

Cited By ~ 1

Author(s):

Yingzhong Tian ◽

Ming Li ◽

Wei Li ◽

Zhiliang Yao ◽

Minglun Fang

Keyword(s):

Grinding Process ◽

Error Measurement ◽

Roundness Error

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Roundness error measurement using teaching learning based optimization algorithm and comparison with particle swarm optimization algorithm

International Journal of Data and Network Science ◽

10.5267/j.ijdns.2018.8.003 ◽

2018 ◽

pp. 63-70 ◽

Cited By ~ 3

Author(s):

M.R. Pratheesh Kumar ◽

P. Prasanna Kumaar ◽

R. Kameshwaranath ◽

R. Thasarathan

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Error Measurement ◽

Swarm Optimization ◽

Roundness Error ◽

Teaching Learning Based Optimization ◽

Teaching Learning

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Review on Multi-Point Method for Roundness Error Separation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.797.555 ◽

2013 ◽

Vol 797 ◽

pp. 555-560

Author(s):

Fen Fen Zhou ◽

Hui Zong Lu ◽

Ju Long Yuan ◽

Fan Li

Keyword(s):

Data Processing ◽

Future Development ◽

Mixed Method ◽

Measurement Errors ◽

Measurement Accuracy ◽

Development Trend ◽

Point Method ◽

Roundness Error ◽

Error Separation ◽

Processing Algorithms

While measurement accuracy can be increased through continuously improving instrument precision, certain measurement errors can be eliminated via data processing using properly devised processing algorithms. Multi-point roundness error separation methods that are the subjects of study in this paper are reviewed, in particularly, three-point method and other multi-point methods that are based on three-point roundness error separation method, such as two-point method, mixed method and four-point method are summarized. Finally a comparison between each separation methods mentioned in this paper is made. Our views of future development trend in multi-point roundness error separation methods are presented.

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