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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 3118-3121
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.3118
• Online since: October 2011
• Authors: Wei Zhang
• Keywords: Cooling Water’s Temperature Acquisition, Data Fusion, Rapid Prototype Manufacturing Cooling System

References

[1] Guo Kaiho, Zhang Lichao Study of Temperature Control Technology of Selective Laser Sintering System New Technique & technology 2005 (5) P84-86.

[2] Zhou D H ，XiY G，Zhang Z J. A NonlinearAdaptive FaultDetection Filter. Int. J. System Science，1991，22（12）.

[3] Ren Ji-wen，Liu Jian-shu Research progress on the major materials by selective laser sintering Machinery Design ＆ Manufacture 2010. 11 P266-268.

[4] Stallard D V. Angle-only tracking filter in modified spherical coordinates. J. Guidance, May-June 1991, 14（3）.

DOI: 10.2514/3.20699