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Introduction Diffusion phenomena occupy a prominent place in material research since decades ago as this process can influence materials properties (electronic, mechanical, optical, …).
The knowledge and understanding of this process is hence a way to enhance properties, to obtain solutions of different metallurgical problems [1].
The coefficient D is usually represented in the Arrhenius form: ln D = f (1T), (3) from which the pre-factor and the activation energy coefficients can be determined by a linear fit.
The TargISOL database, called DifEfIsol, consisted of a set of tables gathering the process and delay parameters affecting the device design of rare isotope beam production systems [6,7].
Thermal studies of the cavity are still under simulation and need to be completed to finalize the mechanical design.

Fillers have also been widely used with the most commeon thermoset polymer, epoxy molding compound (EMC), in electronics packaging in order to enhance the roughness and hardness properties.
However, effect of filler sizes on the electronic package processability, mechanical and functional properties are less reported in literature.
Effects of molding process parameters on the gate chip off formation were investigated based on four factors with three levels and one response using DOE using only the normal filler in the molding compound.
From the term of significance analysis, none of the factors are having significance influence on the response.
Therefore, the four factors derived (transfer time, transfer pressure, mold die temperature, and curing time) in the regression model do not have any significant influence on the response (the gates chip off formation).

Numerical Simulation Research of aerosol Cooling Dongmei Zhua, Guoyong Liub and Shaojun Zhangc School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China azsdmm@163.com, bgy_liu666@163.com, csjzhang@me.ustb.edu.cn Key words: Aerosol cooling, Quenching, Numerical simulation Abstract.
The properties of mixture, such as density, viscosity, specific heat, etc., rely on each component properties.
Fluid properties change with temperature change, so the temperature sub-linear function is used.
Fig. 5 Heat transfer coefficient curves Fig. 6 Heat transfer coefficient curves under different mass flow under different particle diameter Four main factors that affect droplet size are nozzle type, flow rate, injection pressure and spray shape.

Aluminium is one of the lightest engineering metals, having a strength to weight ratio superior to steel. [2] By utilising various combinations of its advantageous properties such as strength, lightness, corrosion resistance, recyclability and formability, aluminium is being employed in an ever-increasing number of applications.
The properties of the various aluminium alloys has resulted in aluminium being used in industries as diverse as transport, food preparation, energy generation, packaging, architecture, and electrical transmission applications.[1] Depending upon the application, aluminium can be used to replace other materials like copper, steel, zinc, tin plate, stainless steel, titanium, wood, paper, concrete and composites.[1] There are numerous researches in cutting of aluminum and its alloys.
Hence, achieving the desired surface quality is of great importance for the functional behavior of mechanical parts.
Surface roughness is used as the critical quality indicator for the machined surfaces and it affects the several properties such as wear resistance, fatigue strength, coefficient of friction, lubrication, heat transmission, wear rate and corrosion resistance of the machined parts. [3] From the data collection it has been observed that the increase in cutting speed tends to improve the finish, thus the average surface roughness value decreases. [4] Depth of cut has the greatest effect on surface roughness and that an increase in the depth of cut increases the surface roughness and vice-a-versa.
To obtain a reduced number of trails a central composite design (CCD) with three factors was used: the cutting speed, feed per revolution and depth of cut.

Particles Movement Analysis of Rotary Kiln for Calcination of Selenium Dioxide Based on EDEM Ping Xu 1,a, Ming Cheng1,b ,Wei Li2.c and Ye Zhang2,d 1Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China,650093 2Rare-Noble Metals Plant, Daye Nonferrous Metals Co.Ltd., Huangshi, China,435005 a 2208272162@qq.com, b 252926565@qq.com, c 313901217@qq.com, d 344121082@qq.com Keywords: Rotary kiln, Screw, Discrete element method, Particles axial movement Abstract.
Particles movement situation in the rotary kiln can be affected by various factors.
Two kind of materials were defined including the "steel" and the "mud" and the parameters of related physical properties were also defined.
After clicking on "Calculate Properties" button, particles mass, volume and moment of inertia could be automatically calculated.
The volume attributes, the material properties and center of mass of data could be also defined in the "Details" tab.

Based on their biomechanical properties, we present our experience with mersilene tape used as treatment for cervical incompetence.
The mechanical properties of cervical tissue are derived from its extracellular matrix and its most important constituent the fibrillar collagen, alongside other constituents such as proteoglycans, hyaluronic acid, elastin, and water.
The mechanical properties of the cervical tissue are derived from its extracellular matrix and its most important constituent the fibrillar collagen, alongside other constituents such as proteoglycans, hyaluronan, elastin and water [11].
In terms of selecting the most appropriate tape type to use for cervical cerclage, some factors must be taken into consideration.
House, DL Kaplan, S Socrate, Relationships between mechanical properties and extracellular matrix constituents of the cervical stroma during pregnancy, Semin Perinatol. 33(5) (2009) 300–307

Lacks in knowledge are usually considered as uncertainties affecting the modelling of the structure.
Thus, a decreasing degree of knowledge imposes to consider increasing safety factors and, thus, lower conventional resistances.
In general, this means that a maximization of the knowledge of the structure (in term of geometry, material properties) may lead to a minimization of the interventions to guarantee acceptable safety levels.
In fact, applying the same models and safety factors proposed for new structures to historical structures is usually inappropriate and leads to invasive interventions, in order to assure seismic safety of historical buildings, which are in collision with conservation requirements.
In particular, such methodologies will be based on quick surveys and will be focused on simplified mechanical models or statistical models (derived by damage assessment data, obtained by previous earthquakes).

All these factors result in increasing of the welding wire manufacturing process effectiveness.
The limitation of boron and nitrogen content, hence their content ratio, is explained by their affect on steel properties.
Chujko, Structure and properties of the rod for electrode and welding wire manufacturing, Poligraphist, Bendery, 2009
Habibulin et al., Analysis of effect of end-of-rolling temperature on wire microstructure and mechanical properties.
Kamalova, Effect of metallurgical factors and heat treatment on welding rod structure formation, Vestnik of Nosov Magnitogorsk State Technical University. 14(3) (2016) 55-70

Introduction Parallel manipulators are widely accepted as ideal candidate in various applications for their inherent superior properties compared with their counterparts, such as higher rigidity, better positioning accuracy, high load capacity and simpler inverse kinematics.
,L Uα α are the lower and upper boundaries of these design variables considering the manufacture and machining factors.
First, a weighting factor based typical genetic algorithm is introduced in simulation.
Weighting factors in Eqution 17 are choosing as: 12 3 0.2, 0.5, 0.3 w w w = = = .
The weighting factor method is adopted to transfer the multi-objective optimization to single-objective by setting a set of factors to make compromise between conflicting demands.

Introduction Conducting polymers are special type of polymers with unique optical, electrical and mechanical properties [1,2], that makes them potentially useful in many applications.
The optical properties of PT based polymers are also reported to be strongly affected by the chain length of its alkyl substituents [10].
This suggest that regio-regularity only affecting the 1D charge movement, while both types becomes similar on the 3D perspective.
Wudl, Optical properties of conducting polymers, Chem.
Jow, In Electronic Properties of Conjugated Polymers Springer, Berlin, ISBN 0-387-18582-8, 1987