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The laser parameters such as scanning speed and laser power, plays an important role on the morphological, mechanical and chemical characteristics of the deposited material.
These parameters also affect the morphological, mechanical and chemical characteristics of the deposited material.
The increases hardness for samples of group B can be attributed to two factors.
The other factor is attributed to the increased coating densification, promoted by the second irradiation cycle.
The laser deposition of coatings can be an alternative to the conventional methods, because the microstructural and hardness properties developed are promising to increase the coating lifetime during high-temperature operation.

The forming properties are simultaneously dependent on the heat transfer characteristics in the coil which are to consider in the reverse hot rolling modelling.
These are generally used for the prediction of the roll force and power, microstructure changes and mechanical properties during the continuous finishing hot rolling [2, 4, 7–13].
In the case of reverse strip rolling, the rolling velocity is limited and forced convection do not affect the heat transfer strongly.
The conduction heat transfer coefficient in the roll gap is introduced and is affected by factors such as lubricant, temperature gradient between rolls and strip, deformation gradient, scale formation and other factors.
Lenard, Thermal-mechanical modelling of the flat rolling process, Springer, Berlin, 1991

The ring compression tests [3] were also conducted to obtain the friction factors at the die-workpiece interface at various temperatures.
The stress-strain relations and the friction factors obtained from the experimental results were then employed by the finite element analysis to examine the material flow during the press forging process.
The material properties and the friction factors at various temperatures obtained form the previous experiments were adopted in the finite element simulations.
The friction factors m = 0.2, 0.4, and 0.7 obtained in the ring compression tests for three different lubrication conditions were adopted in the finite element simulations, and the material properties of AZ31 magnesium-alloy at forming temperature of 300oC was selected for all simulations.
Concluding Remarks The finite element analysis indicates that the formation of embossments in a press forging process is affected by the friction condition at the die-workpiece interface, the location of embossments, and the tooling design.

The use of these metals has begun to lessen and is replaced by non-metallic materials such as composites that have good mechanical properties, more corrosion-resistant and have lower mass.
Natural fiber-reinforced composites increase their mechanical properties linearly with the increase of weight percent of the fiber, mechanical characteristics also gain improvements such as tensile strength, flexure strength, and impact strength [4].
Structures, Processing, Properties and Selection 5th Engineering Materials.
Effect of Wood Fiber Characteristics on Mechanical Properties of Wood-Polypropylene Composite, Wood and Fiber Science. 35(2)
Properties of Hybrid Composites Using Coral Reefs Waste and Coconut Fiber.

This especially affects the instruments with cutting edges made of hard tool alloys (HTA).
Physicomechanical properties influence the choice of machining modes [5] and the type of damage received by tool’s cutting edge.
It is known, that one of the primary factors that effects the efficiency of cutting tools is the change of HTA properties depending on the temperature of cutting [3,4].
In these studies as a criterion for determining the carbide blades’ maximum efficiency temperature, mechanical characteristic - stress intensity factor К1С, was used.
Bitunov, On the common trend of temperature dependences of mechanical properties of metals in various groups of the periodic system, J.

In the design of strain gauges, the material, structure and the location of the strain gauges are important factors in determining the accuracy of the sensor.
In this paper, the elastomer material is selected as 30CrMnSiA, which has good mechanical properties, elastic modulus, elasticity effect (elastic hysteresis, creep and stress relaxation), the effect has little effect on the forming sensor.
In this software, the static structure analysis of multi - component elastomers includes the following steps: the definition of material properties, the establishment of geometric model, the division of grid, the application of load and constraint, the solution and the result. 4.1 ANSYS Workbench model establishment First, delimit the material properties, the choice of the elastic body is carbon steel 30CrMnSiA, the main linear elastic parameters defined: elastic modulus E is 212 × 109Pa, Poisson's ratio μ is 0.3, density ρ is 7800Kg / m3.
The main factors affecting the patch depend on the beam of the height h and the thickness d.
First taking a certain type of sensor as an example, the parameter control equation which affects the strain output is established by using the static stator beam model in material mechanics.

A Research of In-car Navigation Monitoring System Terminal Based on the Green Path Planning JIN Zhi-yang1,2,a , JIANG Hao-bin2,b and WANG Ruo-chen2,c 1 College of Automotive and Traffic Engineering of Jiangsu University, Zhenjiang 2 College of Electrical and Mechanical Engineering in Hainan University, Haikou ajinzhiyang94@163.com, bjianghb@ujs.edu.cn, cwangruochen@ujs.edu.cn Keywords: green path planning, navigation monitoring, in-car terminal, energy saving and environmental protection Abstract.
It led directly to greatly reduce the speed of vehicles, increased fuel consumption, environmental pollution, declining in the efficiency of logistics system, affecting the effective operation of the economic and social, is not conducive to China's low-carbon economic and social system.
The green path planning is more complex, it is not only the road property, but also the driving environment more closely related to, not only with the performance of the vehicle itself is closely linked to, the travel period, this dynamic impact factor is also one of the very important factors.
Taking these factors together to determine the fuel consumption weights, build a green path planning model[4] and use a Dijkstra optimal path algorithm to complete the search of the green path, as shown in Fig. 1.
Considering The delay attribute table property sheet of the vehicle fuel consumption and the period property sheet to complete road network roads weight calibration of the green model, the required data table as described below: (1) road network node table the Node, storage node information; (2) road network arcs table Arc, storage arcs, the table reflects the topology of the road network; (3) Road property sheet Road, road attribute data storage; (4) the vehicle the property sheet Driving, expressed the vehicle parameters;( 5) circle delay property sheet CircleDelay, expressed road network node corresponding delay time; 6) vehicle fuel consumption attribute table VehicleFuel expressed the performance of the fuel consumption of the vehicle; (7) driving period the property sheet DrivingPeriod expressed with the time value; (8) real-time information RealTimeInfo, the storage characterization road closure plug real-time information.

The mechanical properties of alloys depend on many factors that act during the process of solidification.
The important factors are the structure of the melt, the crystallization rate, and the temperature gradient at the liquid-solid interface.
The latest investigation shows that: The metal with the phase of nanocrystal and amorphous performs prominent mechanical property, especially the plasticity [9].
The morphology of eutectic Si of rapidly-solidified hypereutectic Al-Si alloys are affected by the growth of α phase and the cooling rate, the eutectic which is similar with feather-needles is formed consequently.

The mechanical properties of tool materials: bending strength limit: 1500MPa; compressive strength: 3500MPa; elastic modulus E equal to 610GPa; Poisson ratio μ equal to 0.3.
Figure: Fig.1 Field drum section blanks Fig. 2 Schematic diagram of finite element mesh Because many factors influence the cutting force calculation more complex, combined with the current cutting force calculation formula used is the neglect of temperature, normal stress, III deformation zone under conditions of deformation and friction derived, and the actual cutting conditions vary greatly, it can only be used for qualitative analysis of cutting force, not for the actual calculations.
Based on the above analysis, by cutting the limit in the worst conditions (Fz, Fy, Fx acting on the tip of a little concentrated) to simulate the load, all the constraints imposed by the end of the tool (this does not affect the results).
In addition, the tip position as the biggest stress of serious wear and tear, will directly affect.
Fig.7 shows the minimum safety factor is contact with tip length of 1-2, this tool can also use our on-site destruction of Fig. 8.

The fatigue strength of metals is influenced by many factors, such as surface conditions, defects, microstructure inhomogeneities, specimen sizes, etc.
This microstructural inhomogeneity leads to a resultant variation in mechanical properties such as the tensile strength, the elongation and the hardness.
Finer microstructures generally have superior mechanical properties.
Fatigue properties of cast aluminum components were also affected by interior casting defects [12,13].
The cast defects on the surface of group A, which deteriorates the fatigue behavior, together with finer grain size which benefits the mechanical properties, lead to a lower fatigue strength compared with group B, but a higher value compared with group C and D.