Search results

Currently, the achievement of a super mirror finish still relies largely on the experience and skills of the machine operators through an expensive trial-and-error approach when new materials, new design of surfaces or new machine tools are used [4] .
Although some attempts have been made in the development of machining models to simulate surface topography of a machined surface [5] , most of them do not take into account the effect of the cutting strategy, machining kinematics, cutting theories, material science, machine tool wear, 3D slide axis errors and temperature and thus fails to achieve optimization of the surface quality.
SURFACE TOPOGRAPHY SIMULATION MODEL FREEFORM TOOL PATH SIMULATOR OUTPUT SUB-MODEL 3D tool locus Tool interference Simulated 3D surface Surface form and roughness evaluation Machining Kinetic Model Vibration Cutting force Tool wear Other factors Workpiece Information Materials Geometry Others Reference Data Metrology Information Machine Tool Metrology Workpiece Metrology INPUT SUB-MODEL Machining Parameters Feed rate Spindle speed Others Step distance Machining Tool Geometry Tool nose radius Swing distance Guide axisOthers 4 Fig. 4 Optimization model Fig. 5 Freeform measurement path plan Freeform Surface Evaluation.
The successful development of the integrated platform can help to identify to optimal cutting conditions and cutting strategy for different work materials without the need for costly trial and error cutting tests.
Cheung: International Journal of Mechanical Sciences, Vol.43 (2001) No.4, pp.961-991

Seven models are established, which involve project, document, procedure, bill of material, component, organization and integration.
Acknowledgment This research has been supported by the National Natural Science Foundation of China (Grant No. 50805010) and Excellent Young Talents Foundation of Dalian (Grant No. 2008J23JH028).
Yu: Journal of Mechanical Strength, Vol. 28(5) (2006), P.721
Tian: Journal of China Coal Society, Vol. 35(7) (2010), P.1219.

As samples for color profile generation, IT8.7/3 represents the majority of color spots of certain material or processes as shown in Fig.5.
[3] ZHONG Zheng, FAN Qinbin,ZHANG Yeting: Journal of Institute of Suiverying and Mapping Vol .21 NO.4,(2004), p.286
[4] Kong Juanhua,Zheng Jiangbin: Computer Engineering&Science V01.31，No.1(2009), p.35
[5] Green PJ, Sibson R: The Compter Journal 21(2) (1978), p.168

Reference material [1] Alexander Y，Ronald L，Recognition of Bearing Failures using Wavelets and Neural Networks，TFTS97，Coventry(UK),August 27-29，1997 [2] GA Adepoju，SOA Ogunjuyigbe，KO Alawode．Application of Neural Network to Load Forecasting in Nigerian Electrical Power System [J]．The Pacific Journal of Science and Technology．2007，8(1)：68-72 [3] U.B.
International Journal of Computational Intelligence Research．2007，3(1)：66-71 [4] M.

RFID technology takes use of the wireless signals of target sending and receiving to determine the location of material to be identified.
Bridges of Bluetooth County: Toplogies, Scheduling, and Performance [J] .IEEE Journal on Selected Areas in Communications, 2003,21:240-258 [3] He Fang.The principle and application of RFID technology.HOUSEHOLD APPLIANCES,2006 (8) 48-49 [4] HE Qing—hua.
JOURNAL OF ZHENGZHOU UNIVERSITY(ENGINEERING SCIENCE), 2009, 30(2):66-70 [5] Sun Jiping.

It is evident that the data processing error, the transmitting error of RP machine, the shape and size error caused by material shrinking and thermal stress are all imposed on the 3D prototype.
Dhande: International Journal of Machine Tools & Manufacture, 2003 (43), p. 61
Liu et al: Journal of Computer-Aided Design & Computer Graphics, Vol. 17 (2005), p761.
Fang et al: Mechanical Science and Technology for Aerospace Engineering, Vol. 28 (2009), p1420.

Based on modern contact dynamics theory, combining with the properties of the debris material, and a generalized kinetic behavior model of the debris in vehicle collision, the criterions of bounce, slide and roll-slide of debris after collision were set up[5].
Acknowledgment This work was supported by the National Natural Science Foundation of China (Grant No. 51108068) and the S&T Plan Projects of Heilongjiang Provincial Education Department (Grant No. 11553025) and the Fundamental Research Funds for the Central Universities (Grant No.
[4] Xu Hongguo, Du Xuejing, Xu Yan: Kinematic characteristics of elastic-plastic debris behavior in vehicle collision, Journal of Jilin University of Technology（Engineering and Technology Edition）, 2008, 38（2）,263-267
[5] Du Xuejing, Xu Hongguo, Wang Zhan-yu: Generalized kinetic behavior model of debris in vehicle collision, Journal of Jilin University of Technology（Engineering and Technology Edition）, 2010, 40（5）, 1240-1243.

Ω EΩ FΩ IΩ Numerical example Upsetting of a plumbum cylinder with the diameter 20mm and height 20mm has been analyzed as numerical example using material model given in [5].
Acknowledgment This research was sponsored by the Shandong Provincial Natural Science Foundation of China (Grant No.ZR2009AM014) and the Doctoral Foundation of Shandong University of Technology (Grant No. 2010KQ03).
Zhao,W.Wang,Y.Luan: Chinese Journal of Mechanical Engineering,Vol.40(2004),No.11,p.13 [2] S.N.
Belytschko: International Journal for Numerical Methods in Engeering, Vol.46 (1999), No.6, p.925

The constants α, β and γ are material dependent.
This research was funded by the Natural Sciences and Engineering Research Council of Canada.
Schulte: Journal de Physique, Vol IV, (1993), p. 1629
Journal of Fatigue, Vol. 24, (2002), p. 155

Typically, the main contribution factors for cold judder are waviness of disc surface, misalignment of axis (runout), elastic deflection, thermal distortion, wear and friction material transfers whilst hot spots phenomenon contributes to hot judder [3].
Brooks , Hot spotting and judder phenomena in aluminum drum brakes, Journal of Tribology. 125 (2003) 44-51
Park, Numerical analysis method to estimate thermal deformation of a ventilated disc for automotives, Journal of Mechanical Science and Technology. 24(11)(2010) 2189-2195