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However, there are inherent difficulties in relating particle deposition characteristics with influencing factors of the deposition process.
For this reason, this paper develops a simulation process for Ti and Ni particles under influence of many factors using molecular dynamics.
Low temperatures are useful in generating unique material properties, which otherwise cannot be obtained by traditional methods.
It has been applied in the study of, for example, defect formation and migration, fracture, grain boundaries, structural transformations, radiation damage, elastic and plastic mechanical properties, friction, shock waves, molecular crystals and epitaxial growth [11], [15].
The objective of this work is to understand how influencing factors, such as incident velocity, particle size and temperature affect the deposition process.

The validation process consists of a number of experimental activities in the frame of the Surveillance Programme, aimed at providing mechanical property data; principally the determination of the effects of radiation on mechanical properties and the measurements on representative welds to determine the level of residual stress.
The welds were stress relieved to reduce residual stress and drive out trapped hydrogen (both factors reduce the risk of hydride formation) by holding the weld at 580°C for 3 hours followed by a controlled cool in compliance with the relevant ASME code [[] ASME Boiler and Pressure Vessel Codes, 1998, Section VIII, Div 1, p.205 ].
Measurements were made at positions in the weld, heat affected zone, and parent material for a distance of 30 mm either side of the nominal weld centre.
Considering that the peak width was ~1°, the gain was another factor of 10.
(ii) The average of three reflections were used; Zr (103), (112), and (201), each having multiplicity factor of 12.

According to earlier researches a good improvement in impact and mechanical properties could be achieved with the small addition of different nanofillers.
It was seen that all these particles improved mechanical and damage tolerance properties.
The mechanical properties of nanoparticle added polymer composites are affected by the degree of dispersion of the nanoparticles in the polymer matrix [13].
Kamada and et al. claimed that 0.4 wt% multi-wall carbon nanotube in aramid fibre reinforced composite exhibited better mechanical properties [13] and J.L.
Suman and et al, Investigation on Mechanical, Thermal and Bonding Properties of MWCNTs Reinforced Aramid/Epoxy Composite, Nano Hybrids and Composites, 30 (2020) 27–40.

The purpose of this research paper is focused on the X40CrMoV5-1 hot work tool steel surface layers improvement properties using high power diode laser.
Remelting of the steel without introducing into liquid molten pool the alloying additions in the form of carbide powders, causes slight increase of properties of surface layer of investigated steel in comparison to its analogical properties obtained through conventional heat treatment, depending on the laser beam power implemented for remelting.
Thanks to the very fast heating up followed by cooling the surface properties obtained, could not be attained with other conventional methods.
Improved abrasion wear resistance, mechanical-, and tribological properties, and also very high resistance to thermal fatigue displayed by these materials, can be obtained in particular by alloying with the carbides particles.
This phenomenon is the reason for the super-fast phase transformations affecting the structural mechanism of forming the surface layers subjected to laser treatment.

By touching the object in the 2D screen, users can change some properties of the corresponding object in the 3D virtual world. 3D object picking is widely studied and applied in the following three situations: 1) the target object is significantly occluded; 2) the target object has small size; 3) and the target object is in a dynamically changing location.
In order to reduce the influence of human factors to the experimental results, the one thousand times of pickup operation are divided into 10 groups evenly.
Many previous studies [8-10] have shown that the picking accuracy is the main factor to evaluate a 3D object picking Technique.
Proceedings of ASME 2013 International Mechanical Engineering Congress and Exposition.
American Society of Mechanical Engineers, 2013: V005T05A053-V005T05A053

The mechanical properties and service performances of the rubber products are greatly affected by the state of cure or cure level of rubbers, especially in large rubber parts.
The parameters n,m,A1,A2,E1 and E2 are constants dependent on the specific choice of curing kinetic model and material properties.
Thermal properties such as conductivity and heat capacity can be described as functions of temperature and cure level.
The material’s thermal and cure kinetics properties are taken from [11].
Thermal properties such as conductivity and heat capacity can be described as functions of temperature and cure level.

Should take full account of the enterprise's own characteristics and industry characteristics when building BOM.According to the situation of the small and medium manufacturing enterprise,the factors that should be considered during the process of building BOM as follow[4]:(1)Market factors.Most of the small and medium manufacturing enterprises are market-driven rather than re search-driven,it depends mainly on the response and grasp to market opportunities, so the BOM structure should flexible and has good adaptability and scalability.In order to making the whole information system can well meet the different needs of various customers.(2)Product factors.The products of small and medium manufacturing enterprises is more in imitation, improvement, and upgrading,engaged in gradualness innovation activities.Therefore,the structure of the product BOM is not frequently updated.If the function of products is divided into a function module,then structure the modular BOM will be convenient for
the production.(3)Human factors.Small and medium manufacturing enterprises in China lack of specialized information talents generally,existing staff also lack the necessary information knowledge.
Through the product function modular,every function module model can be made of multiple attributes,when some attributes of the module have multiple attribute values,and these attribute values are necessary to determine the module,these attributes can be regarded as the module's variables,that is,the variables in the module configuration design,We define ,is 's attribute variables in the 's module,in this way,customer's specific needs is actually transform into module "properties".When a customer input requirements in accordance with the option,the customer demand will be mapped to the module attributes (module variables), according to the value of the variable take different modules to determine the specific product configuration.
References [1] Guiliang Xie,Junqiang Wang and Shudong Sun:Chinese Journal of Mechanical Engineering.
(In Chinese) [3] Hanchuan Xu,Xiaofei Xu and Dechen Zhan:China Mechanical Engineering.Vol.16, No.8(2005) P.701-705.

Other factors that donate for difficulty in machining this material are due to its high work-hardening tendency rates at machining strain rates which leads to high cutting forces, toughness, gumminess and strong tendency to weld to the tool and to form built up edge [4, 5].
The surface roughness of the work is considered as one of the most crucial factors for quality surface evaluation as it significantly can affect the work performance, durability and reliability [8].
In machining Inconel 718, the determination quality of its machined surface is generally contributed by various parameters such as cutting conditions, tool geometry and material properties [11].
Cutting conditions in coded factors and the surface roughness values obtained using TiN coated cemented carbide insert are presented in Table 3.
Journal of Mechanical Industrial Engineering, Vol. 2, Number 4, pp. 209-214, December 2008

Analysis of the influencing factors and initial determination method for important parameters of secondary cooling water, including specific water, water ratio in each secondary cooling zoon and the amount of water in outer arc, inner arc and sider at one secondary cooling zoon.
There are four main factors affect the specific water, steel grade cooling properties, sectional shape and size, caster structure and casting speed. 2.1 Steel grade Each steel grade has its own cooling properties, but it is impossible to develop a cooling system for each steel grade.
Generally, steel grades are divided to several groups according to the steel high-temperature physical properties and the steel chemical compositions, and then develop a cooling system for each group of steels.
Detailed descript the influence of influencing factors for specific water, Including steel grade cooling properties, sectional shape and size, caster structure and casting speed.
Thermo-mechanical simulation and parameters optimization for beam blank continuous casting[J].

However, they can be a potential danger when the resource (provided by the static indeterminacy of the structure and other factors) is practically exhausted.
Thus, the purpose of this study is to determine patterns of influence of the changed structure, plastic properties, and material mechanical characteristics on the critical crack length.
The well-known classical Griffiths relationship between the crack length, stresses and stress intensity factor serves as the basis for the engineering calculation of the endurance limit.
Universality of the mechanical behavior of materials, Ufa: USOTU (1998) 363
Balakhnin, The structure formation and properties of hardened structural low-carbon steels during cold radial forging and subsequent thermal exposure: diss ... candidate of technical sciences: 05.16.09.