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Quality Oriented Self-optimizing Control in Smart Machining Systems Hong-Seok Park1, a and Ngoc-Hien Tran2,b 1Lab for Production Engineering, School of Mechanical and Automotive Engineering, University of Ulsan, Ulsan 680-749, South Korea 2Faculty of Mechanical Engineering, University of Transport and Communications, Lang Thuong Ward, Dong Da District, Hanoi, Vietnam Keywords: Self-optimization, In-process monitoring, Evolutionary algorithm, Quality oriented process control, Information convergence technology.
In our research, self-optimization of a machining system consists of its adaptation to quality objectives such as surface roughness, geometrical tolerance; and disturbances such as vibration, chatter, tool wear, non-homogeneity of the work-piece material, temperature changes without external interaction.
However, the cutting-tool wear can directly impact on surface roughness and it is a key factor to keep parts within specifications.

Investigation of the Barrier Heights for Dissociative Adsorption of HF on SiC Surfaces in the Catalyst-Referred Etching Process Pho Van Bui1,a*, Kouji Inagaki1,b, Yasuhisa Sano1,c, Kazuto Yamauchi1,2,d, and Yoshitada Morikawa1,2,e 1Department of Precision Science and Technology, Graduate School of Engineering, Osaka University, 2-1 Yamada-oka, Suita, Osaka, Japan 2Research Center for Ultra-Precision Science and Technology, Graduate School of Engineering, Osaka University, 2-1 Yamada-oka, Suita, Osaka, Japan abuivanpho@up.prec.eng.osaka-u.ac.jp, binagaki@prec.eng.osaka-u.ac.jp, csano@prec.eng.osaka-u.ac.jp, dyamauchi@prec.eng.osaka-u.ac.jp, emorikawa@prec.eng.osaka-u.ac.jp Keywords: Catalyst-referred etching, SiC, HF solution, First-principles reaction path simulations Abstract.
These properties make SiC an attractive material for high-power electronics and optoelectronics devices.
Acknowledgments This work was partially supported by funds from the Global COE Program (Center of Excellence for Atomically Controlled Fabrication Technology) and the Quantum Engineering Design Course (QEDC) Program from the Ministry of Education, Culture, Sports, Science and Technology (MEXT).
Morikawa, Key Eng.

Research on Periodic Motion Stability of Multi-DOF Rotor-bearing System with Crack Fault Chaofeng Li1,a, Qinliang Li1,b, Jie Liu2,c and Bangchun Wen1,d 1School of Mechanical Engineering & Automation, Northeastern University, Shenyang Liaoning 2School of Mechanical Engineering, Shenyang University of Technology, Shenyang Liaoning achfli@mail.neu.edu.cn, bliqinliang@vip.qq.com, cstarliujie@126.com, dbcwen1930@sina.com Key words: rotor-bearing system; crack fault; stability; finite element model; bifurcation Abstract.
The nonlinear oil film forces at both ends are added at the right of motion equation in the form of force vector, the motion equation of entire rotor system can be expressed as: (1) , , (n=21), , (i=1,2,…,21) In the above equation, represents the system mass matrix; the damping matrix, D the material damping matrix, J the gyro matrix; the angular velocity; the system stiffness matrix; the non-linear oil film support force vector; R the unbalanced force vector; G the gravity vector suffered by system; the displacement vector of system.
Journal of Mechanical Engineering, Vol. 46 (2010), p.107

Introduction Emergency system has a wide of functions, involving complex knowledge system, including electronic and information engineering, management, scheduling and many other subjects[1].
As a system engineering to respond to emergencies, emergency system needs to use some theory methods of related subjects, to do optimal design, optimal decision, best control and best management, achieving best responding [2,3,4,5].
In the industry and key enterprises, the emergency system is an integral part of enterprise information.
In addition, in business layer, the implementation of many functions relates to call external business systems, Such as material supply, resources obtaining and staffing.
The proposed emergency management system solution laid the foundation for the realization of flexible emergency management information system References [1] T Elbir: Atmospheric Environment, Vol 38(2004), p. 4509 [2] H X Lan, C H Zhou, L J Wang, et al: Engineering Geology, Vol. 76(2004), p.109 [3] A Zerger, D I Smith: Computers, Environment and Urban Systems, Vol. 27(2003), p.123 [4] P Avesan, A Perin, F Ricc: Applied Intelligence, Vol. 13(2000), p.41 [5] J ZHernández, JM Serrano: Expert Systems with Applications, Vol.20(2001), p.173 [6] S PKourniotis, C TKiranoudis, N CMarkatos: Safety Science, Vol. 38(2001), p.49 [7] J LWybo, K M Kowalsk: Safety Science, Vol.30(1998), p.131 [8] Kevin FR Liu: Expert Systems with Applications, Vol. 27(2004), p.77

The research on selection of estimate methods of artificial man-days unit price of Power construction project Hong Ke1,a, Chuan Wang1,b,Gaofeng Luo3,c 1school of management, Tianjin University of Technology, Tianjin 300384, China 2Engineering company of Beijing general research institute of mining & metallurgy, Beijing 100160, China ali2007314@sina.cn, blisai87@126.com,c946093064@qq.com Key words: Power Construction Project; Unit price of manual man day; Estimate method; Abstract: The selection of caculation method of the artificial man-days unit price of power construction projects is the focus and hotspot problem of the parties of power construction project and cost management departments.
With the in-depth development of the study, these methods are highly theoretical and did not consider the limited human and material resources for caculating the artificial man-days unit price of power construction projects.
Therefore, the calculation method of artificial man-days unit price of construction Engineering in Tianjin show characteristics of marketability.
Conclusion Traditional calculation methods of artificial man-days unit price of power construction engineering are difficult to solve long-term conflicts between rising market labor prices and low artificial man-days unit price.
Conclusions of the study indicate what the current estimates of artificial man-days unit price of power construction engineering can learn from.

A simple design procedure of seismic reinforcement structure with mild steel dampers Zhen Huang 1,a, Zuowei Qin1,b and Peng Wu1,c 1 School of Civil Engineering, Southeast University, Nanjing 210096, China ahuangzhen@seu.edu.cn, bqinzuowei@foxmail.com, crsaiwp@163.com Keywords: Mild Steel Dampers; Seismic reinforcement; Energy dissipation; Time-history analysis Abstract.
Material Modeling.The analysis model has components consisting of stressed steel bar modeled by HRB400 and concrete modeled by C40 and C45.
Acknowledgements This work was financially supported by the National Key Technology R&D Program of China during the 12th Five-Year Plan Period (No. 2012BAJ13B01), the Ministry of Housing and Urban-Rural Development R&D Program (No. 2011-K2-3), the Science and Technology Foundation of Southeast University (No. 9205000034), the Priority Academic Program Development of Jiangsu Higher Education Institutions (No.
Parulekar: Nuclear Engineering and Design.
Singh: Engineering Structures.

Review on Artificial Neural Network and Its Application in Foundry Dequan Shi, Guili Gao College of Material Science and Engineering Harbin University of Science & Technology, Harbin, P.
The results showed the system reduced the consumption of raw materials and energy, decreased the rejected production and improved the casting quality.
Acknowledgment This work was supported by the Foundation for University Key Teacher of Heilongjiang Province of China (1252G025).
Shi, “An optimizing direct-control technology of green sand quality based on the method of fast testing ingredients,” China Mechanical Engineering, vol. 18, pp. 2700-2704, November 2007
Liang, “Research on modeling and controlling of cupola melting process based on neural network,” Computer Engineering and Applications, vol. 45, pp. 245-248, September 2009

Development of Electric Rust Preventive Machining Method - Optimization of Water Recycle System - N Nishikawa1, a, Y Sato1, F Andou1, T Sawa2, Y Hagihara1, H Kato1, N Yoshihara1, H Okawai1, T Murase1, T Iyama1, M Mizuno1 and S Tsukamoto3 1Faculty of engineering, iwate university, 4-3-5 ueda, morioka, iwate, 020-8551, Japan 2Department of Mechanical Engineering, Tokyo Denki University, 5 Senju-asahicho, Adachi-ku, Tokyo, 120-0026, Japan 3Faculty of engineering, okayama university, 3-1-1 tsushima-naka, okayama, okayama, 700-8530, Japan ankawa@iwate-u.ac.jp Keywords: electric rust preventive machining method, environmental harmonic machining, grinding, cutting, machining, machining fluid, effluent treatment, water machining, sludge, iron, rust, water, recycle, reverse osmosis membrane, purification, water quality, flow quantity, optimization Abstract.
Iron material surface ionized and leaked Fe2+ ion in water as chemical formula (1), and rust is generated.
Moreover, machine body rust is prevented with this principle and, coating, material changing (steel to resin or stainless) [7].
Yamanaka, Cutting fluid and Grinding fluid, Saiwaishobo Co.Ltd., Japan, 1982, pp.244-264 [3] TECHNICAL RESEARCH INSTITUTE Japan Society for the Promotion of Machine Industry, Material Processing Data File Text Vol:15 (Grinding), TECHNICAL RESEARCH INSTITUTE Japan Society for the Promotion of Machine Industry, Japan, 2002, pp.32-33 [4] N.
VI Key Eng.

Speckle pattern characterisation for high resolution digital image correlation G Crammond1, a, S W Boyd1 and J.M Dulieu-Barton1 1University of Southampton, School of Engineering Sciences, Southampton, SO17 1BJ, UK agc305@soton.ac.uk Keywords: Speckle pattern, Digital Image Correlation Abstract Digital image correlation (DIC) is an optical technique for full field deformation measurement.
The speckle pattern has been identified as a key factor in the measurement accuracy of DIC.
Shang: Applied Mechanics and Materials Vol.13-14 (2008), p. 65 [3] J.
Belhabib; Optics and Lasers in Engineering Vol.46 (2008), p. 185 [7] Y.
Habraken: Optics and Lasers in Engineering, Vol.44 (2006), p. 1132 [9] M.

Defects Diagnosis of Bearing by Means of Acoustic Emission and Continuous Wavelet Transform Rujiang Hao1,a, Zhipeng Feng2,b , Fulei Chu3,c 1 Department of Mechanical Engineering, Shijiazhuang Railway Institute, Shijiazhuang 050043, China 2 Institute of Vehicular Engineering, University of Science and Technology Beijing, Beijing, 100083, China 3 Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, China a h_rujiang@126.com, bzhipeng.feng@yahoo.com, cchufl@mail.tsinghua.edu.cn Keywords: acoustic emission, continuous wavelet transform, signal purification, defect diagnosis Abstract.
Particles inside martial (atoms, molecules and particle swarm) will generate elastic waves from the transient release of strain energy as a result of the relative motion inside the materials.
AE is defined as transient elastic waves generated from a rapid release of strain energy caused by a deformation or damage within or on the surface of a material [1].
Let x (t) be a squared integrable function, i.e. x(t)∈L2(R), the CWT of this function is defined as the integral transform with a function family ψa,τ(t) as the integral kernel [4], shown as follows * , 1 ( , ) ( ) ( ) ( ), ( ) x a t WT a x t dt x t t a a τ τ τ ψ ψ +∞ −∞ − = =< > ∫ , (1) where ψa,τ(t) is generated by dilation and translation from the mother wavelet ψ(t) shown as follows , 1 ( ) ( ) a t t aa τ τ ψ ψ − = , (2) where a is a scale factor (in real engineering application, only a>0 is discussed), and τ is time location.
The high frequency and wide range distribution are the key characteristics for AE signals.