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Research and Development of Rapid Design System for Modular Machine Tool based on KBE Linzhen Zhou1, a*, Qi Gu2,b and Qingzhu Li1,c 1School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, China 2School of Automotive Engineering, Yancheng Institute of industry technology, Yancheng 224005, China azlz@ycit.edu.cn, b13921885293@163.com, cliqingzhu@126.com Keywords: KBE, Modular machine tool, Rapid design system.
In mechanical design, there exist some general laws to be employed in RBR, but they are insufficient to ensure the RBR for a complete solution.
But the retrieval of large amount of information at the very beginning not only affects the design efficiency, but makes the result unreliable due to fact that the accurate expression of some information is difficult in mechanical design [7].
Product design is a very complex work, which has to take into consideration of the functions needed, manufacturing requirements, material property, standardization requirements and other factors such as energy saving, production costs and environmental protection.
Designers in accordance with system design with steps to design the Navigation properties of the preset menu.

Introduction In materials defects and metallurgical discontinuities affect significantly the magnitude and the variability of mechanical properties, which can be very significant in castings because of section sensitivity.
High Silicon Strengthened Ductile Irons (HSiSDIs) present excellent tensile properties, when they are compared to conventional pearlitic-ferritic Ductile Irons (DIs) with similar strengths for Si contents lower than 4.2%wt [1-3].
Indeed, tensile mechanical properties are usually the basic properties required from the international standards for materials classification.
The rationalization of Equation 3 is the following: · kr takes into account the presence and the stress raising power of the defects that make the cracks to nucleate and grow at defects and metallurgical discontinuities; · v should be related to the metallic matrix properties (e.g. ductility), strength and geometry of the metallic matrix-defects interfaces (e.g. nodular, CHG, vermicular or lamellar graphite, shrinkage porosity etc.).
As cast high silicon ductile irons with optimized mechanical properties and remarkable fatigue properties.

It can negatively impact mechanical properties, corrosion resistance and other useful physical properties of materials.
Complexity of the shape of the cast product can also affect instrument of choice or even make physical measurement more difficult.
Numerical modeling is useful to foundry engineers in knowing beforehand the condition of final cast product, in terms of controlling its mechanical properties, microstructural evolutions and grain morphologies, thus, improves the quality of casting.
The grid refinement factor r is greater than 1.3 as recommended by Celik et al [15].
The thermophysical properties of materials used in this work are those given in Reference 1 and 8 for Al-4.5%Cu.

In-situ large scale testing is very promising for reliably evaluating properties of random fill materials.
The use of random material in this zone demands dependable geomaterial properties, including shear strength.
This approach may seriously affect the test result reliability [21, 22].
Several locations that were not affected by the failure were selected.
R.: Mechanical Properties of Rockfill, Embankment Dam Engineering, Casagrande Volume, In: Hirschfeld and Poulos (eds.), J.

However, the inability of inner stress detection has been a barrier of researching, designing and manufacturing for engineering structure and complex equipment, and it seriously affects the new material research [2].
An accuracy of ±0.01°in 2θ at 90°leads to a precision in strain: (2) The key factor is the high penetration of neutrons through most industrial materials (8% through 25mm steel).
After the location of the spectrometer has been determined, the design of the integral structure has been done according to the every property index of the spectrometer.
Thirdly, in order to improve the accuracy of the test, the sample table’s mechanical precision should be enhanced through higher quality of manufacturing process.
(a) Mechanical loading system (b) High temperature device (c) Low temperature device (d) Low temperature chamber Fig. 5 Sample environment equipment.

Screen capture of the FIS system done in MatLab (Fig. 1) shows the general properties of the FIS as well as its individual components (inputs and output).
(a) General property of the FIS (b) Properties for input “Fix” (c) Properties for input “HDOP” (d) Properties for output (e) Rules for evaluating the individual GPS Figure 1.
Fuzzy Inference System for evaluating and classifying one GPS data based on Ad-Hoc Weighing The second FIS was designed to derive the weight for the overall fused heading value (a) General property of the FIS (b) Properties for input “Fix of GPS#1” (c) Properties for output “bigat1” (d) Rules for the MultiGPS FIS Figure 2.
The general properties of this FIS as well as its particular properties are shown in Fig. 2.
The U-blox GPS is not affected by the Magellan GPS, IMU or EC.

Figure 1: Ekranoplane of “Combined Wing” Figure 2: Ekranoplane of «Tandem» configuration and ASP at approach The control system of ekranoplane should ensure its given trajectory and improve dynamic properties.
The factor of recalculation can be determined under the Frude’s formula as a cubic root of the relation of weights, that is (2000 / 400) 1/3 = 1.71.
In this case, ASP as compared with MAKS project obtains less mechanical energy, but in recalculation to the attainable final velocity this loss does not exceed a few percents [4, 5].
Taking into account the above requirements, the arrangement of mechanical mating elements for connection and disconnection of ASP with ekranoplane can be drawn out as it shown in Fig. 3.
Secondly, the wind gusts will affect both ASP and ekranoplane in the same direction and the relative motion control error will be smaller.

., Ltd, Changwon, Gyeongnam, Korea 2 Faculty of Mechanical & Aerospace System Engineering, Chonbuk National Univ., Chonju, Chonbuk, Korea a parrot@doosanheavy.com, bchjoo@doosanheavy.com, cH107527@doosanheavy.com, d yuhs@moak.chonbuk.ac.kr Keywords: Dissimilar weld joint, Filler metal, PWHT, Creep rupture strength, HAZ, T23, T91 Abstract.
In the viewpoint of boiler tube materials, economic component design for high temperature applications often entails the use of materials with different high temperature properties and costs and results in dissimilar weld joints.
This paper is concerned with the evaluation of material properties for T23/T91 dissimilar metal welds being newly used in the region of 600 o C and the estimates have been carried out to determine the optimized condition for post weld heat treatment (PWHT) holding time and to investigate the effect of filler metal for high temperature performance.
The Charpy tests that each notch was located at weld metal, T91 side heat affected zone (HAZ) and T23 side HAZ also showed satisfactory results above 30 Joule.
As a result, it was shown that stress reduction factor due to this type IV cracking could be 50% for 100,000hours test.

The New Method For Power Quality Indices Estimation Ying Hai1,a ,Jingyu Chen2, b 1School of Mechanical and Electrical Engineering, Jiaxing University, Jiaxing 314001, P.R.
To analyze non-stationary PQ variations, other non-parametric methods based on discrete wavelet packet transform (DWPT) has been successfully applied to detect sudden changes in PQ, but Mother wavelet selection is arbitrary and affects the accuracy .
However, these parametric methods requires prespecified information about the frequency of the power signal, and these algorithm measured signals captured from monitoring devices are invariably contaminated by some amount of noise, which affect the accuracy of PQ estimation[1] [2].
ESPRIT is an eigenvalue decomposition-based batch processing technique that exploits the rotational invariance property of signal subspace to determine the frequency components present in the signal.
· RMS values of voltages and currents (20) · The total harmonic distortion(THD)of the voltage and current are as follows: (21) · The active power ( P ) quantifies the average power delivered to the load, and is given by: (22) · The apparent power (S ) is given by , Current distortion power (var): Voltage distortion power (var): (23) Harmonic apparent power (VA): · The line utilization is quantified by power factor (24) Figure 1 shows a schematic block diagram of the proposed PQI estimator.

Creep Based Prediction Model of Stress Relaxation Behavior for High Temperature Materials Jinquan Guo 1, a , Lixin Wang1, b and Fuzhen Xuan2, c 1 School of Mechanical Engineering, Anyang Institute of Technology, Anyang, China 2 School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China a yefu111@163.com, b wanglixindhg@163.com, c fzxuan@ecust.edu.cn Keywords: Creep-relaxation conversion, Stress relaxation performance, Prediction method, Creep rate model, High temperature materials Abstract.
The scatter in creep rupture data can affect the estimated stress relaxation behavior significantly and result in lower conversion precision.
A material property that encompasses both of these concepts is the average creep rate to rupture, avε� , which is defined as /r rtε , where rε is simply the strain obtained by extending the secondary-creep-rate curve up to rt , and rt , is the rupture time, as illustrated in Fig.1.
So it must needs to use a Fig. 1 Schlottner-Seeley creep assessment procedure correction factor ξ to revise the average creep rate, so that it approaches the relaxation rate.
[2] F.V.Ellis, T.Sebastian: Calculation of stress relaxation properties for type 422 stainless steel.