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The samples were prepared by metallography and characterized using optical microscopy (OM), scanning electron microscopy (SEM) and mechanical microhardness test.
During the brazing process, the precipitates present in Inconel 718 concentrate in the region of the joint which causes a decrease in mechanical resistance [1,2].
The mechanical strength of the brazed joint is affected by the size of the joint gap inversely proportional.
However, a negative effect is that some brittle intermetallic compounds are generated and decrease the mechanical properties [5].
The brazing quality is influenced by many factors, including brazing temperature, filler metal thickness, holding time, cooling rate, and others.

The control of the gap between tool and support, and the analysis of its effect on the accuracy of CNC incremental forming Hu Zhu1,a, Zhijun Liu1,b and Nan Li1,c 1 College of Mechanical and Electrical Engineering, Shenyang Aerospace University, Shenyang, Liaoning 110136, China azhuhu100@yahoo.com.cn, bdongfangshenglong@163.com, clinanxiujiao@163.com Keywords: Incremental forming, Forming accuracy, Digital simulation, Pressing path.
There are many factors that influence the CNC incremental forming precision, among which the gap between pressing tool head and support is one of the main factors that influence the forming precision of ISMF.
In the paper, the methods for the control of the gap between pressing tool head and support and theirs affects on the forming accuracy are researched and analyzed by using the digital simulation technology.
On the contrary, if the gap between pressing tool head and support is thicker than sheet thickness, the extrusion force will decrease to some extent, which makes the sheet to incline forward, wrinkle, rebound in the forming process and seriously affects forming precision [4].
The mechanical property parameters are shown in Table.1.

Test materials are coal waste, fly ash and cementing material and whose contents are primary factor for affect paste performance.
Therefore, these four parameters chosed as influencing factors of paste performance.
So in the uniform design level setting to cementing material isn’t necessary, and influencing factors reduced one.
Mechanical properties of sclerotium possesses a close relationship with hydration products and microstructure.
Study on Coal Mine New Paste Filling Material Properties and Its Application[D].

On-line Thickness Measurement of Thin Film Based On Neural Network Li Cai 1, a, Yuegang Tan1, b, Qin Wei1, c 1 School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, China acaili_whut@163.com, bygtan@whut.edu.cn, ceggw@foxmail.com Keywords: Plastic Film; RBF neural network; On-line thickness control.
Introduction At present, the parameter optimization of the thickness has a direct impact on physical property, mechanical property, cost, economic benefits of the products.
Industrial control computer Scanning unit encoder Capacitance detection module AC motor drive Scanning device stepper motors Wing ring device six control boxes Figure 1 Specific structure of thin film detection The thickness which capacitance sensor detects is very thin, so the detection signal which is easily affected by external factors is also very weak.
RBF neural network widely used in system identification and parameter estimation has the property of global approximation, which has not the local minima problem with small amount of calculation, whose learning speed is generally much faster than other algorithms.

According to this, one of the most important factors is environment pH.
It has strong effect on the kinetics of the anodic reaction and therefore properties of passive layer.
By decreasing pH the passive layer tends to dissolution and loses its protective properties [3].
It is known that the environment, the chemical composition, heat treatment and the microstructure can be affecting the pitting potential [19].
Frankel, Pitting corrosion of metals a review of the critical factors, J.

Introduction Owing to its high melting point, high hardness, good toughness and stable chemical properties, the VN coating has a very wide range of applications and long-term prospects[1].
The Chinese Geyang Li’s research group creates a series of nano-multilayer of VN/SiO2[6] and AlN/VN[7] in the multi-target sputtering instrument, and studies their microstructures, mechanical and antiwear properties using the transmission electron microscope, microhardness tester and precise dimple grinder.
It can clearly be seen that the best process parameter can’t be reoccurred accurately and quantitatively because of many random factors.
It indicates that VN is a conductor with good metal properties.
As the distribution of the DOS of Si atoms is very uniform and relatively lower, the distribution trend of total DOS was less affected.

There are various factors influencing the MIM process.
The selection of appropriate powder and binder system, mixing of the powder and the binder system and its viscosity will affect the product.
This study will focus on what are the characterization and rheological properties of the stainless steel 316L based feedstock.
Table 3 Rheological properties of the ready-made SS316L feedstock Temperature, T (˚C) Apparent viscosity, η˳ (Pa.s) Flow behaviour index, n Activation Energy, E(kJ) Moldability/Rheological index, αSTV 170 146.642 0.61 73.4 301.26 175 78.308 0.83 73.4 245.91 180 93.178 0.66 73.4 413.34 185 92.150 0.61 73.4 479.41 190 78.428 0.60 73.4 577.74 Conclusion The characterization and rheological properties of stainless steel 316L has been investigated thoroughly.
Amin, Khairur Rijal Jamaludin, and Norhamidi Muhamad, Rheological properties of SS316L MIM feedstock prepared with different particle sizes and powder loadings, Journal - The Institution of Engineers, Malaysia, 71 (2009) 74-86

On the other hand, changing the size and structure of two-dimensional materials result to nanostructures with new and unique properties.
These nanoallotropes consist mainly of sp2 carbon atoms positioned in a hexagonal network, meaning that this common structure leads to some common properties e.g., similar levels in optoelectronic properties, mechanical strength, and chemical reactivity.
In contrast, significant differences in sizes and shapes attribute different morphological properties e.g., porosity, specific surface area, etc.[8] Among the carbon nanoallotropes, graphene nanoscrolls (morphologically similar to multiwalled nanotubes) and quantum dots, present a unique set of properties mainly due to their open-ended morphology and exceptional optical properties, respectively.
The scrolling tendency of germanane nanosheets is probably based on similar factors reported in the literature for graphene nanoscrolls, including specific solvents, sonication time, power etc.[9,13] Summary Here we present the synthesis of siloxane and germanane nanosheets and their conversion through an ultrasonication approach into nanodots and nanoscrolls, respectively.
The production of 0D and 1D nanostructures from these layered materials can result to novel nanostructures with unique properties.

Since diamond tools possess excellent mechanical properties such as extreme hardness, lower frictional coefficient, they can achieve very sharp cutting edges, which are crucial for machining precision components [7,8].
In some researches, tool path length has been found to be a major influencing factor to the total machining time.
Tools wear is also a very important factor as small tool wear may lead to significant degradation of surface quality.
Surface roughness of optical surface is a key factor, which affects the dispersion of lens.
quality and form accuracy are affected by machining parameters.

Materials are differ in their mechanical and physical properties, behavior under different conditions of external influence.
Creating a mathematical model to describe the deformation of low alloy high strength steel is impossible without taking into account the physical and mechanical properties of the material.
In the literature, the properties of HSLA steels are inadequate, it’s need further research.
It is therefore necessary to study changes in the plastic properties of steel on the degree of deformation and external factors in the conditions of metallurgical production of continuous cold rolling mill.
The advantage of the engineered algorithm (determining hardening curve of the steel by the theoretical model) is the account of the main factors (the total degree of preceding deformation, strip temperature, strain rate) that affect on the level of yield strength in the process of cold rolling.