An Application of Multi-Sensor Data Fusion in SLS Rapid Prototype Manufacturing

Abstract:

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There are some inevitable errors we can’t avoid in the process of powder laser sintering Rapid Prototype Manufacturing Cooling System. If we don’t take some measutes to eliminate the errors , they would influence the system’s operation directly, but if we adopt the traditional method, testing precision can’t meet the increasingly high requirement, while upgrading the hardware system will greatly enhance system cost, which can’t suit the empoldering and using of most systems. In this articles, when the number of sensors is less than 10 (N<10), a new method of data processing was introduced(including cooling water’s temperature, work jar temperature etc. ); use the distributing chart to eliminate inevitable errors, then adopt the method of arithmetic equilibrating and batch estimating to fuse the testing data, in order to estimate the true number.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

3118-3121

DOI:

10.4028/www.scientific.net/AMM.121-126.3118

Citation:

W. Zhang "An Application of Multi-Sensor Data Fusion in SLS Rapid Prototype Manufacturing", Applied Mechanics and Materials, Vols. 121-126, pp. 3118-3121, 2012

Online since:

October 2011

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$35.00

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