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Carbon fiber reinforced plastics (CFRP) are used as structural materials in automotive and aerospace industries because of its superior properties like high strength to weight ratio and high stiffness to weight ratio.
Fiber orientation is the key factor that determines the surface integrity of machined component [6-9].The tool-chip interface is the major source of friction in cutting, hence a major source of energy dissipation.
In this paper cutting temperature and tool wear were taken as the important factors influencing the surface quality of the edge trimmed CFRP materials.
It is found that the carbon fiber orientation greatly affects surface roughness.
[8] Venugopala Rao G, Mahajan P and Bhatnagar N, Micro-mechanical modelling of machining of FRP composites – Cutting force analysis, Composites Science Technology 67 (2007) pp.379-593

In the use of renewable energy,when systems and equipmen are in normal operation conditions, HDR provides a continuous supply of energy that will not be affected by natural factors like season, climate, day and night and other natural factors.
In terms of the current study conditions, to mention the location of the Iwai, we should take two important factors into consideration: geothermal gradient and heat flow values of rock.
Besides, integrated the earth's physical properties, we should choose the plate collision zone, including the mainland and the mainland, the mainland and the sea collision zone.
Furthermore, from the perspective physical properties of the rock, we should selecte density, high thermal conductivity and generate late rock.
In addition, developers should pay attention to the parameters of the HDR permeability, porosity, cracks, geothermal gradient, to determine accurately these factors critical evaluation of the development costs.

of friction k between a model and a ruler’s material; J7 - external force equal Fmax rest; J8 - the maximal force of rest Fmax; J9 - speed of movement; J10 - quality of processing of a surface; J11 - a way; J12 - time; J13 - moving; J14 - average acceleration; J15 - instant acceleration;J16 - a stage of easy sliding; J17 - a stage of fast linear hardening; J18 - a stage of deformation destruction; K1, K3 K5-experimental definition of factor of a sliding friction without loading; K2, K4, K6-- experimental definition of factor of a sliding friction with loading in 200 g; K7 - sliding;K8 - force of friction Fтр; К9 - rectilinear movement; K10 - average speed; K11 - acceleration; K12 - temperature; K13 - pressure; K14 - low temperatures; K15 - sliding; K16 - a plane of sliding; K17 - three stages; L1 - experimental definition of factor of a sliding friction of steel without loading; L2 - a body of readout; L3 - time; L4 - distance; L5 - system of coordinates; L6 - uniform movement; L7 - the
- speed of light; N9 – Puasson’s factor; N10 - absolute deformation; N11 - relative lengthening; N12 - initial length; N13 - internal elastic forces; N14 - cross section; N15 - external forces; N16 - cross section; N17 - a limit of elasticity; N18 - a limit of proportionality; N19 - breaking point; N20 - a limit of fluidity; N21 - mechanical properties; O1 - lecture 1 (kinematics of a material point).; O2-υ<; O25 - the module of shift; O26 - tangents of a pressure; O27 - Plasticity; O28 - Elasticity; O 29 - durability; P1 - inertial system of readout (1); P2 - inertial system of readout (2); P3 - not relativistic physics; P4 - a relativistic root; P5 - relativistic physics; P6 - a quantitative estimation of deformation; P7 - the diagram of a stretching (compression); P8 - deformation of shift; P9 - mechanical properties of firm bodies; Q1 - interaction; Q2 - one body; Q3 - other bodies; Q4 - Galilee transformations; Q5 - Lorentz transformations; Q6 - Physical event; Q7 - four-dimensional space - time; Q8 - speed of light - invariant; Q9 - a world line; Q 10 - a world point; Q11 - speed of light is constant (ΔS=0);Q12 - physical event; Q13 - four-dimensional space - time; Q14 - C - invariant; Q15 - a world line; Q16 - a world point; Q17- ΔS > 0; Q18 - physical event; Q19 - four-dimensional space - time; Q20 - speed of light - invariant; Q21 - a world line; Q22 - a world point; Q23-υThe first variant of the lecture provides for considering the interaction and types thereof after introducing Newton’s second law where the mass is considered a proportionality factor between the force and acceleration and further describing the mass concept in details.
Table 1 shows that insignificant rearrangements in a single lecture affect the entire module’s information contents.

In the preliminary work, Ni-Fe-C system was adopted as filling metal to TIG weld of YG30 and steel 1045, η phase formation and mechanical properties of the corresponding joints have been studied as well [3].
By adjusting the C content of which, the formation mechanism and microstructure features of η phase together with the composition factors that affect the formation of η phase are investigated detailedly.
The size of this type of η phases is about 20 µm, The other kind appears at the heat affected zone (HAZ) of the weld, and their size is similar to or slightly smaller than the original WC particle size (Fig.1 a).
(Mechanical Industry Press, China 2000) [5] T.

Strain Measurement in the Steel Shell Surface Impacted by a Falling Ball Wei Liu1,a, Jie Song1,a, Hua Guan1,a, Xiao Han1,a, Jianzhong Wu2,b, Wenge Yang2,b , Xiaopan Li2,b 1College of Mechanical Engineering, Hohai University, Changzhou213022, Jiangsu China 2Xi'an aero-engine Co.LTD, Xi'an710021, Shanxi, China alwlnx101@163.com, bsongjiesophia1018@163.com Keywords: Shell; Strain Measurement; Impact Test; Falling Ball; LS-DYNA; Transient Simulation Abstract.
Liu [1] proposed a strain gauge in the impact test and found the biggest factor that affecting test strain change.
The paper built shell model with ANSYS/LS-DYNA software and simulated the impact test, and compared test data with simulation data, the conclusions are as follows: 1) In simulation, the friction and the damping factor were not considered.
The maximum simulation error compared with the impact test is 9.5% at the maximum strain amplitude. 2) There is an error between simulation data and test data in frequency distribution, the reason is that the constraint form of test equipment and material properties are quite different than that of the calculation models, it is needed to conduct further study. 3) Many high frequency harmonic waves were superimposed in the experimental data.
Marangoni: Mechanical Measurement.

The models that are built between tree growth management and various parameters that affect tree growth management model using neural network modeling technology are used to conduct comprehensive study; Expert system is used for expert reasoning and judgment, and study how to collect, summarize and analyze the experience and knowledge of the field of expert, analyze expert system knowledge, as well as the reasoning mechanism, and make full use of the characters of the expert system reasoning.
Growth Modeling Techniques The link between tree growth model and influencing factors requires mining, and the plant growth simulation models are improved.
Considering environmental factors, the simulation of the process of tree growth is made using data in the field of tree growth management ontology database, the tree growth management and related factors that affect tree growth management growth model are made, these models quickly and accurately contribute to obtain and analyze a variety of information of the state of tree growth and the environment.
Tree growth simulation mainly presents qualitative observations of different growth conditions, and different growth stages of trees, judge growth mode, determine the overall framework of the morphology of description, measure the quantitative determination of tree topology, geometry, mechanical properties, extract rules morphology model of the trees, simulate tree growth based on growth rules, and the establishment of tree growth model based on a variety of competitive factors.
Conclusion The paper performs depth study on tree growth simulation model, and the integrated use of tree growth simulation model technology, the ontological techniques, neural networks and expert systems technology are used to establish tree growth management decision model, then tree growth management resources data can form unified platform for the sharing, fully considering the various factors that affect tree growth management and the degree of standardization of data, make integrated growth simulation model and the analysis and evaluation system, so generate dynamic and intelligent decision-making information which are applicable to the different experimental designs.

Finally, some simulations on the influence factor of deicing process are implemented.
The basic model parameters such as material thermal property, size of wing and icing parameters are listed in Table 1.
The influence factors on deicing process were researched by simulation.
Finally, the simulation results indicated that the temperature and flow quantity of deicing fluid leaded to the change of surface temperature of wing, which directly affected the efficiency of deicing process of aircraft on the ground.
Laforte: Physical Properties of Aircraft De-icing and Anti-IcingFluids.

., Department of Mechanical Engineering, P.D.V.V.P.COE, Ahmednagar.
Factors favoring subsurface originated spalling are smooth surface, presence of nonmetallic inclusions in the material and absences of surface shear.
The current ISO standard [11] for rolling bearing life is based on a modification of the Lundberg-Palmgren equation [7] and is given by (6) Where a1, a2 and a3 are life modifying factors that account for reliability, material and operating conditions.
The subsurface initiated spalling, mode of failure in rolling element bearing that operates under EHL conditions, is significantly influenced by the material microstructure, which is inhomogeneous due to the presence of defects and nonuniform distribution of material properties.
‘The cyclic stress-strain properties, hysteresis loop shape, and kinematic hardening of two high-strength bearing steels’, Metall.

Emphasis is on the use of bio-compatible metals, because metals are the most suitable materials in terms of mechanical strength when the requirement arises for supporting and replacing the load bearing bones and joints such as hip and knee.
Therefore, DMD offers building up of complex metallic structures with controlled material, micro-structural and mechanical properties directly through CAD models, without additional tooling [7].
It is possible in a DMD process to generate structures with controlled properties at micro and macro levels without significant heat treatment since the laser creates a very small heat affected zone.
Glassman, Porous Coated Hip Replacement - the Factors Governing Bone Ingrowth, Stress Shielding, and Clinical Results, The Journal of Bone and Joint Surgery 69-B (1987) 45-55

The test results show that the addition of steel fiber to concrete will affect the fluidity of concrete.
In this test, the fluidity of concrete will be taken as the first factor.
Excessive natural accumulation density of crushed stones and different shapes will affect the passing rate between reinforcement gaps during concrete pouring [2].
The properties of each material are shown in Table 2 to Table 7.
References [1] Tomoki Momotani, Kiyotaka Kawashima, and Sadao Matsuda: A Study on the Mechanical Properties and Durability of High-Fluid Concrete (Part 6.