A Review of Residual Life Prediction for Remanufacturing of Machine Tool

Abstract:

A growing concern about the environment problems, especially about the waste, carbon emissions and landfill, has spurred research into the field of remanufacturing. This paper mainly focuses on the residual life prediction in the remanufacturing of machine tools, which is an important step of remanufacturing process. A system analysis and synthesis is performed in the fields of testing data collection and data analysis and calculation, which are the two important components of residual life prediction. Some non-destructive testing technologies for data collection and some algorithms for data analysis are summarized and made comparison. In addition, this paper also aims at giving a perspective in such area in the future.

• Periodical: Applied Mechanics and Materials (Volume 552)
• Pages: 133-138
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.552.133
• Online since: June 2014
• Authors: Zhen Yu Han*, Guang Нu Liu, Hong Нa Fu
• Keywords: Machine Tool, Remanufacturing, Residual Life Prediction

References

[1] Binshi XU, Foundations and Applications of Remanufacturing Engineering, Harbin Institute of Technology Press, (2005).

[2] Binshi XU, The Green Remanufacturing Facing the 21st Century, China Surface Engineering, 1999, 45(4): 1-4.

[3] NDT Resource Net, What is NDT? http: /www. ndtziyuan. com/hangyebiaozhun /1243. html?1392453029 , (2014).

[4] Boyd J W R，Varley J，The Uses of Passive Measurement of Acoustic Emissions from Chemical Engineering Processes, Chemical Engineering Science，2001，56(5)：1749—1767.

DOI: 10.1016/s0009-2509(00)00540-6

[5] Bo ZHANG, Chen Junzhi, Application of AE and Other Technology in Monitoring Stability of Mined-out Area, Henan Science, 2012, 30(10): 1488-1491.

[6] Jeong R K, Acoustic Emission Testing of Repaired Storage Tank, International Journal of Pressure Vessels and Piping, 2001, 78(5): 373-378.

DOI: 10.1016/s0308-0161(01)00038-2

[7] Jia PAN, The Research of The Application of Acoustic Emission Testing Technology in Faulting, master thesis of Beijing University of Chemical Technology, (2012).

[8] Rujiang HE, Wenxiu Lu, Fulei Chu, Review of Diagnosis of Rolling Element Bearings Defaults by Means of Acoustic Emission Technology, Journal of Vibration and Shock, 2008, 27(3): 75-79.

[9] Liang PAN, The Review of Study and Application of Phased Array Ultrasonic Testing Technology, NDT, 2013, 35(5): 26-29.

[10] Xiaoyu BAO, Research on Phased Array Ultrasonic Testing System and Its Key Technology, doctor thesis of Tsinghua University, (2003).

[11] Doubov A, Diagnostics of metal items and equipment by means of metal magnetic memory, NDT'99 and UK Corrosion'99, 1999: 287-293.

[12] Lihong DONG, The Present State of Metal Magnetic Memory Testing for Ferromagnetic Materials, New Technology & New Process, 2005, 9: 24-27.

[13] Fan XU, Research on Metal Magnetic Memory Testing Technique and Its Applications, master thesis of Zhejiang University, (2013).

[14] Newby M, Perspective on Weibull proportionalhazards models, IEEE Transactions on Reliability，1994，43(2)：217—223.

[15] Lei SUN, Residual useful life of gearbox based on particle filtering parpmeter estimation method, Journal of Vibration and Shock, 2013, 32(6): 6-12, 23.

[16] Xichong YU, Predicting the Residual Life of Injecting Water Pipeline with the Artificial Neural Network, OGST, 2002, 21(6): 11-14.

[17] Lifeng XI, Residual Life Prediction for Ball Bearing Based on Neural Networks, Chinese Journal of Mechanical Engineering, 2007, 43(10): 137-143.

DOI: 10.3901/jme.2007.10.137

[18] Yaowu DU, A Predictive Model Based on Artificial Neural Net for Residual Life of Large Machinery, Journal of Mechanical Strength, 1997, 19(1): 5-8.

[19] Ping HUANG, Improved Particle Swarm Algorithm and Its Application in Power System, doctor thesis of SCUT, (2012).

[20] Qinming LIU, The Forecasting Residual Life of Underground Pipeline Based on Particle Swarm Optimization Algorithm, Machinery Design & Manufacture, 2009, 9: 17-19.