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Magnetic pulse connection fixtures are simple, no mechanical contact, no damage to the surface of element.
This phenomenon can reduce the joint of the bonding strength and affect the surface roughness of the joint.
The analysis of experimental results The grooves to impact of the connection properties.
Rod forms (a)—double groove (b)—no groove (c)—thread groove (d)—one groove Groove shape and quantity is one of the most important factors, which improve pipe and rod connection strength.
The best connection gap value is affected by the material properties, structure, size, discharge energy, and many other factors.

Although the biodiesel has lots of merits, there are many disadvantages, such as high cold filter plugging point destroying the low-temperature flow property, the presence of unsaturated double bond decreasing the oxidation stability, and pigments affecting the color [22, 23].
According to range magnitude of the factors surveyed, temperature was the primary factor, while the amount of activated clay(ACY) was the least important factor.
Table 4 listed the properties of decolored biodiesel.
The activated clay (ACY) amount, decoloring temperature and decoloring time were selected as three factors to design the three factors and three levels orthogonal test.
According to range magnitude of the factors surveyed, the order of the effect on DR of the factors was temperature > operation time > activated clay (ACY) amount.

Research of Image Segmentation Based on Iterative Threshold Lei Shao1, a, Yi Mu2,b , Peng Guo3,c , Jun Liu4,d ,Guoling Dong5,e and Hongli Liu6,f 12456 Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin University of Technology , Tianjin, China 3Department of Mechanical Engineering, University of Canterbury aLei.shao@tjut.edu.cn, bmuyi748153870@163.com, cpeng.guo17@gmail.com, dtop441@163.com,etakeover494@126.com, fliuhl@tju.edu.cn Keywords: Image segmentation, Iterative Threshold, Matlab, Weed Image Abstract.
Image segmentation is the key step in image recognition,the result of segmentation affects the one of recognition directly.The article introduces the concept and detailed definition of the image segmentation.
Introduction Image is a mapping of objective scenery by some system, it is often said an enrichment or generalization of the object information.Output image normally in the form of analog voltage, in order to use the computer for image processing, needs to be simulated image signal discretization, this image is digital image[1].Digital image processing in the pattern recognition process mainly includes three phases: image segmentation, feature extraction and classification.Image segmentation is the key step in image recognition, it will directly affect the results.
At present, most of the image processing, analysis and target recognition is based on gray image.Gray image segmentation is generally based on image gray scale are two basic properties: pixel gray discontinuity and similarity.Pixels in the region is generally have some similarities,but between the area and the border generally have a discontinuity[3].Use this property of image, can use iteration threshold segmentation method to extract the target.
research.Although there is a lot of research on image segmentation, there is no suitable for all image of general segmentation algorithm.Using two-dimensional gray histogram of the image, gray value distribution of pixel and its neighborhood average grey value distribution of histogram iteration threshold segmentation.The advantage is computing speed is fast and easy to implement.The experimental results show that can better identify weeds goal.Defect is difficult to deal with objects of multiple foreground.But because of using the grey value of image information and spatial neighborhood information, the effect is obviously improved than traditional methods.The emergence of the fast algorithm gives a more realistic significance.Choose suitable segmentation algorithm is still a trouble thing, because it lack of appropriate criteria.Eventually choose what kind of method, evaluation pros and cons of segmentation, should be combined with the actual situation and specific requirements, considering factors

Based On EEMD And Multiclass Relevance Vector For High Voltage Circuit Breaker Mechanical Fault Diagnosis Shang Chena, Weihua Niub ,Baoshu Lic and Jie Yud Department of Electrical Engineering,North China Electric Power University, Baoding,Hebei,071000,China a83329995@163.com,btusiniuweihua@163.com,clibshu@263.net,dy824042101@126.com Keywords: EEMD; Relevance vector machine; High voltage circuit breaker; Fault diagnosis Abstract.Mechanical failure of high voltage circuit breaker accounted for the largest percentage of, it is necessary to diagnosis the mechanical fault .The acoustic signal of high voltage circuit breaker contains a large number of mechanical state information, can put the acoustic signal characteristics as a basis for high voltage circuit breaker fault diagnosis.
Introduction According to CIGRE for high voltage circuit breaker reliability the investigation and statistical analysis of the high voltage switch incidents in China show that in 80% of all high voltage circuit breaker fault fault belongs to the mechanical properties[1], to improve the running reliability of high voltage circuit breaker and ensure the quality of power grid is necessary for the mechanical fault diagnosis.
We apply kernel function in each feature space ,each row of the kernel K expresses the tightness of the nth observations with other observed values.The learning process involves the inference of the model parameters , which by the quantity act as a voting system to express which relationships of the data are important in order for our model to have appropriate discriminative properties.
In order to prove the M - RVM can be used in fault diagnosis and has a good diagnosis effect at the same time, we put the M - RVM and nu - SVC support vector machine (SVM) is used for high voltage circuit breaker mechanical fault recognition, and compare the result.Two kinds of kernel function of the model adopts the radial basis function (RBF),For nu - SVC we adopt cross validation and PSO method of penalty factor C and kernel parameter g optimization, optimal parameters, is shown in figure8.
Through the analysis of table 2 shows the method proposed in this paper can well used in high voltage circuit breaker mechanical fault diagnosis.

Table 1 Physical properties of coarse aggregates Type of coarse aggregates Apparent density [（kg·m-3）] Crushing value (by mass) [%] Water absorption at 30 min(by mass )[%] Soundness index[%] Natural 2673 14.3 1.2 — Recycled 2544 17.3 3.7 8.1 Table 2 Physical properties of fine aggregates Type of fine aggregates Apparent density/[kg·m-3] Fineness module Water demand ratio Absorption at 30 min(by mass)[%] Compressive strength ratio Soundness index[%] Natural 2616 3.02 — 0.20 — — Recycled 2424 3.09 1.33 9.4 0.79 7.2 Test Methods The absolute density of volume method was used to design mix proportions according to the recycled aggregate pre-absorbent method proposed by Zhang Yamei[10].
In order to improve mechanical properties of concrete, air entraining agent and polypropylene fiber with 0.1% were added.
Analysis of factors affecting the frost resistance of recycled aggregate concrete From the analysis of aggregate gradation of recycled coarse aggregate concrete, it could be known that aggregate gradation was an important factor affecting the frost resistance of concrete.
It also indicated that the addition of RFA had an obvious negative effect on the frost resistance than RCA, and aggregate gradation was an important factor affecting the frost resistance of concrete.

(3) One of the most important factors affecting the interface stability of dehydrated lignite was the oxygen functional groups, and relevant content should be studied further.
Comparison of physico-chemical properties of various lignites treated by mechanical thermal expression [J].
Chaffee, Physico-chemical properties of Loy Yang lignite dewatered by mechanical thermal expression [J], Fuel 84 (2005) 1940-1948
Effects of process conditions on the properties of dried product [J].
Dielectric properties of coal [J].

As illustrated in Fig. 4, most cycles with a small stress range will not significantly affect the fatigue life.
The material properties used in this analysis is shown in Table 1.
Table 1 Material properties of a urethane wheel.
Safety factor was selected as 3.
The required target life including the safety factor was 2.8E+6 turns.

In a milling process, periodic thermal and mechanical stresses are the two effective factors that play significant role in affecting the tool life, failure mode and wear mechanism.
In most case, these factors cause microcracks, chipping and sometimes catastrophic failure of the entire cutting edge [4].
Table 1 Physical and chemical properties of an ultra high strength alloy steel Chemical properties [wt%] Physical properties C Mn Si P S Ni Cr Mo � b [Mpa] � s [Mpa] � [%] � [%] 0.26̚ 0.32 0.30 ̚ 0.50 0.16 ̚ 0.35 �0.015 � 0.010 2.8 ̚ 3.2 0.6 ̚ 1.0 0.4 ̚ 0.5 1380 1220 17 53 � s: Yield strength; � b: Shear strength; � : Eongation ratio; � : Area reduction Experiment Procedure and Operating Parameters.
The combined action of the structure strength reduction and stress concentration will in turn lead to mechanical crack initiation.
The results indicate that the cutting force and surface roughness are 440 Title of Publication (to be inserted by the publisher) affected mainly by the feed per tooth and the depth of cut.

On the other hand, the properties of polymeric/inorganic composite are greatly influenced by the size of the inorganic phase.
The improved properties include enhanced toughness, stiffness, decreased gas permeability, increased transparency, scratch, abrasion, solvent and heat resistance.
Poly (vinyl alcohol) is a semicrystalline polymer possessing excellent water-soluble, biodegradable, biocompatible, gas barrier and high mechanical properties.
This indicates that the cooling rate is the main factor to affect Xc when cooling rate is low.
This indicates that SiO2 content is also a main factor affecting Xc.

AEDM is affected by several factors including the material properties.
Cryogenically treatment to the electrode material in AEDM is a new advancement to cause beneficial changes in the material properties.
The advantages of cryogenic treatment include relieved residual stresses, refinement of grain sizes and better electrical and thermal properties [10].
Improved performance of cryogenically treated copper electrode is attributed to significant improvement in their thermal and electrical properties.
Dey: Journal of Mechanical Engineering Vol.57 (2006), p. 271 [10] N.S.