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Study on Intelligent Control of Milling Process Based on MATLAB Xingyu LAI1, a, Chunyan YAN1, b, Bangyan YE2, c and Weiguang LI2, d 1Department of Mechatronical Engineering, Guangdong Institute of Science and Technology, 351 Kehua Street, Guangzhou 510640, Guangdong, P.
In the process, there are many uncertainty factors, such as tool wear, uneven material, equipment temperature, and vibration.
Fig. 6 Cutting force response of general milling Fig. 7 Experiment results of intelligent control Table 1 General milling experiment conditions Table 2 Intelligent control experiment conditions Tools HSS helical cutter f12mm×3 Milling method Symmetric inverse milling Spindle speed n=600r/min Feed rate Vf =50mm/min Sampling period Ts=0.01s Interval Tc=0.1s Workpiece material 45＃steel Milling width aw =12mm Cutting depth a=1mm→2mm→3mm→4mm Tools HSS helical cutter f12mm×3 Milling method Symmetric inverse milling Spindle speed n=600r/min Initial feed rate Vf 0 =120mm/min Sampling period Ts=0.01s Control period Tc=0.1s Desired cutting force Fr=100N Workpiece material 45＃steel Milling width aw =12mm Cutting depth a =1.5mm→2.5mm→3.5mm In the Figure 6, it can be seen that the cutting force can reflect changes of cutting depth.
Yan: Journal of Harbin Institute of Technology (New Series), Vol. 14 (2007) No.3, p 349
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Introduction In recent years, the high temperature air combustion technology is a new energy saving combustion technology in the international field of combustion, mainly used in industrial furnaces in metallurgy, machinery and construction materials industry.
In essence, it is determined by the regenerator’s own performance (including material and geometry, etc.), the construction of regenerator and the gas media.
High Temperature Air Combustion-Revolution in Combustion Technology (Part1: New Findings on High Temperature Air Combustion).JSME International Journal, Series B, 1998, 41(4)p.1079-1084 [2]Hongsheng Guo, Yiguang Ju, Kaoru Maruta, at el.
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Material characteristics and mesh data are summarized in table1.The bed is meshed by SOLID185 which is defined by 8 nodes and the orthotropic material properties.
Table1 Information of the modeling Material type HT250 Element type SOLID185 elastic modulus 155GPa Elements 80957 Poisson's ratio 0.27 Nodes 22226 Mass density 7340 kg·m-3 DOF 66678 The bed’s boundary conditions are defined on the basis of its structural style and assembly relationship, so threaded holes on both ends of the bed are restrained, and all DOF of the nodes on each surface of the hole are set as zero.
Journal of Northeastern University(Natural Science),2011,32(07):988-991
Dynamic analysis of the spindle component of numerical controlled machine tool based on finite element method [J].Journal of Mechanical Strength, 2009, 31(04): 629-633.

Since the old buildings are constantly used hence the self weight and material will be aged, the land base will be loose, the concrete will be carbonized, the stability of the structure will be decreasing.
It is mainly for solve issues such as material aging rooftop leaking, the deterioration of thermal and heat insulation function.
This is the sustainable development path which suits our national situation.On the other hand, if we simply adopt the dismantling and new construction method it will not only cause enormous material and capital waste, in the meanwhile it also severs the link of urban development.
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The brief analysis of reconstruction and recycle of old Italian buildings [J].Journal of Tianjing university (social science edition) . 2008(2):30—32

Multivariate fault detection and diagnosis for the aluminium smelting process In the aluminium smelting process, alumina (raw material) is one of the main inputs for the production of aluminium metal (finished product).
S Bouhle, Towards an Interactive Medical System by Augmented Reality, Journal of Computer Applications & Information Technology, (2013) 26-30
Young., Diagnosing Faults in Aluminium Processing by Using Multivariate Statistical Approaches, Journal of Materials Science, 47 (2012) 1268-1279

For this purpose, the raw material of herbals were extracted first to obtain essential oils and then measured by e-nose.
Materials and Method Seven kinds of herbal essential oils as sample under tested from local market in Yogyakarta were extracted, including ZO, KG, CL, CZ, LG, PO and CX.
Evans, Changing the knowledge base in Western herbal medicine, Social Science & Medicine 67 (2008) 2098–2106
Using GC/MS (EI/CI), Journal of Essential Oil Research 16 (2004) 17-19
Zemlin, Detection of Bloodstream Infections and Prediction of Bronchopulmonary Dysplasia in Preterm Neonates with an Electronic Nose, The Journal of Pediatrics 165 (2014) 622–624

Many investigationson this material system have been done f.e. by Forchel et al. [15-17] and Bimberg et al. [18].
For all materials the growth rate is constant at ≈0.3 ML/s.
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The raw material was washed several times with tap water followed by distilled water and dried in oven at 60°C for 48-96 hours till constant weight was obtained.
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Recently, dry water (DW) has been demonstrated to be an effective material for fast formation of GH with high gas storage capacity [4, 5].
Acknowledgements This work was supported financially by “National Natural Science Foundation of China (41104086)”, “Ministry of Land and Resources’ Public Benefit Research Foundation (201111026)”, “Gas Hydrate Reservoir Mechanism Research Project (GZH201100306)” and “China Geological Survey’s 100 Young Geoscientists Training Programs”.
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Acknowledge This study was supported by NRL (National Research Laboratory) Program and by Management International Joint Research Project of MOST (Ministry of Science and Technology), Republic of Korea.
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