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In Fig.3a, the filament array was arranged at a height of 7 mm over the substrate, and the filament number used in Fig.3b was 20.
The effect of the filament number on the substrate temperature distribution is shown in Fig.4.
In order to obtain a uniform temperature area, the filament number must be over 20.
Fig.5 shows an expected temperature distribution, where the filament number is 25.
It is found that the thick film obtained has a high quality with integrate crystal grains.

Task parallel method divides task into a number of sub-tasks according to process logic of the question.
Speedup ratio increases with the number of processors linear growth in distributed lock mode, it suits Gustafson’s Laws.[4]-[7] b(p) is Load evenness.
These features make parallel development easy so that we can write efficient, fine-grained, and scalable parallel code in a natural idiom without having to work directly with threads or thread pool. [8]Concurrent degree can be dynamically adjusting by TPL.The program based on TPL not only run on dual-cores or 4-core computer, but also run on multi-core processor without compile again.
Time and speedup radio of the original algorithm using for multiple tasks Docs number Tasks number S time(s) P time(s) S(p) 10 45 0.868641 0.378457 2.295217 20 190 3.790648 1.505717 2.517503 50 1225 23.88155 8.609952 2.773715 100 4950 96.59048 34.55660 2.795138 200 19900 380.4313 139.9953 2.717458 If document number is n, then tasks number is n(n-1)/2.
It records the number of sequences for 1 continuous along the diagonal line in matrix mat.

Every 30 times of test cycles, polishing the samples firstly, then put them under microscope to observe times and numbers of cracks producing, measure single length and total length of all cracks on the root of V shape gap of each sample, to establish relationship between the crack length and test cycle.
Table 4 Crask numbers and length of varying cycles at 720℃ thermal fatigue performance test (mm) Sample № Cycle(time) 30 60 90 120 150 number length number length number length number length number length 2 3 4 5 0 1 0 1 0 0.47 0 0.10 0 1 1 1 0 0.69 0.17 0.40 0 1 1 1 0 0.76 0.25 0.53 0 1 1 1 0 0.79 0.40 0.55 0 3 2 1 0 1.06* 0.45 0.58 *: There seemed initial crack.
Table 5 Crask numbers and length of varying cycles at 860℃ thermal fatigue performance test(mm) Sample № Cycle(time) 30 60 90 120 150 number length number length number length number length number length 2 3 4 5 0 1 1 1 0 0.21 0.41 0.21 0 1 1 1 0 0.26 0.45 0.34 0 1 1 1 0 0.27 0.47 0.63 1 1 3 1 0.16 0.35 1.07 0.73 1 2 3 2 0.18 0.54 1.10 0.93 Table 6 Hardness of samples of varying cycles at 720℃ thermal fatigue performance test (mm) Sample № Cycle(time) 30 60 90 120 150 2 3 4 5 541 597 579 500 608 583 585 457 587 521 538 439 558 471 426 405 564 496 457 412 It could be seen in Table 4-5 that №2 sample was of higher anti- thermal impact performance, it only occurred a crack at 860℃ 120 cycles, its length and even a total crack length after 150 cycles were shorter, lower than a crack length that №3-5 samples occurred at 860℃ 30 cycles; №3 sample’anti- thermal impact performance at 860℃ cycles was lower than that of №2 sample, but its crack
status of producing numbers, a length and total length were better than that of №4-5 samples; №4-5 samples’ anti- thermal impact performance at 720℃ and 860℃ was all lower, and their crack producing numbers and length increased obviously as temper temperature went up, the status of №4 sample was worse than that of №5 sample.
Although each sample’microstructure was all temperred sorbite ＋grain carbides at 720℃ 150 cycles,but It was also obvious that №4-5 samples had showed many massive carbides（see Fig. 4-5.

Hyper Ellipsoidal Model Given a set of training samples of a class, where,is the number of training samples.
Tab.1 Training set and testing set class acq eran grain crude trude class code 1 2 3 4 5 training set 804 468 126 88 50 testing set 402 234 63 42 25 The computational experiments were done on a CPU Pentium 2 G with 512M memory, operation system Windows Xp.
If n is the number of a class testing samples , it is called micro average precision (MIAP).
If n is the number of a class testing samples, then it is called micro average recall (MIAR).
If n is the number of a class testing samples, then it is called micro average F1 (MIAF).

Results and discussion 3.1 EL observation First, defects are classified into five types as shown: A – over-soldered, B – cracks on cells, C – as-grown defects, D – grain boundary and dislocation dense area, E – cutting damage.
(Hereafter expressed as TC-number.)
The number in the parentheses refers to the undamaged module number in a group. 4.
Only a small number of cells were observed to have new cracks as the number of TC cycles increased.
These cracks were not visible until the cracks enlarged as the number of TC cycles increased.

As the ODF representation method appeared primarily in an approximation, it was defined as the series of a reduced orientation distribution function (R-ODF) for crystalline grain clusters, which merely consists of the even-number item of ℓ and can be solved by the series expansion method (SEM) through pole figure data measured; furthermore, with the development of quantitative texture analysis, it finally evolved to the complete orientation distribution (C-ODF) through some specific mathematical treatments.
With application of PSO, let ‘I’ be the particle number, and they are randomly allocated with the initial positions and corresponding values of velocity.
When Eq. (5) is substituted into Eq. (3) and Eq. (4), a set of nonlinear equations on solving different l whose total number is (R+1) are obtained.
(a) Constant-Φ sections of C-ODF (IF steel) using PSO corresponding to sample A, and the iteration number: k =500.
(ωmax=9.31), it has been obtained after 5000 iterations, whose number is ten times over that derived from PSO.

In this article, The number of input layer’s neurons is equal to number of input parameters, but the output layer has only one neuron, namely concrete strength.
The number of hidden layer and its neurons decide the model’s superiority.
Best number of neurons in hidden layer should be between 3 ~ 13 [16].
Design of mixture ratio of pottery grain concrete[J].
Determining the number of BP neural network hidden layer units.

The residual stresses, average crystallite size and number of graphene layers were analyzed by Raman spectroscopy.
Many wrinkles intersect each other and form a number of localized wrinkle nodes.
So a larger grain boundary of graphene is obtained after the CMP surface treatment of SiC substrates.
Based on the relationship,number of graphene layers was obtained.
The number of graphene layers is 4-5 and 1-2, respectively.

The obtained results reveals that, less number of flutes is the main factor contributed towards fine surface roughness for this thermoplastic.
In the case of end mills, smaller clearance angles reduce the chip space for the same number of teeth.
A 10 mm diameter and 70 mm of total length micro grain carbide rod was used to fabricate the cutter according to design planned as depicted in Fig. 3.
Number of flute contributed as the main effect towards surface roughness as changing of level will give a dramatic changes of surface roughness.
Number of flutes is the most significant factor that affects the surface roughness value.

The image of field emission scanning electron microscope shows uniform distribution of NaNO2 grains of 150 nm size in the composite film.
There have been a number of experimental and theoretical studies on the structural and electrical properties of the 0-3 composite films, which have shown the new and improved properties with their macro-counter parts.
Shur [18] et.al modified this model by taking into account of grain size effect through the insertion of an impingement time ti and the polarization current is given by [18] for α - model ----- (3) for β - model -------- (4) Where, both t0 and n have the same meaning as in Ishibashi model.