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The laser process itself offers highly customizable parameters which affect the resulting materials properties [1].
Furthermore, mechanical properties were determined with those parameters and linked to the corresponding microstructure captured with SEM at 12000x magnification and EBSD imaging.
Since relative density is not the most relevant material characteristic from an industrial standpoint, it might be advantageous to model mechanical properties directly.
To determine which features would be suitable – other than global density/ porosity - we use machine learning (ML) to map the LPBF process parameters to mechanical properties after printing using a hybrid neural network architecture.
The mechanical properties of the printed samples were determined according to DIN EN ISO 6892-1 on the testing machine AllroundLine Z100 with robotic testing system roboTest L by ZwickRoell GmbH & Co.

Shorter [7] developed the spectral finite element method (SFEM) to calculate the dispersion properties of linear linear viscoelastic laminates and estimated damping loss factor of each wave type from the cross-sectional strain energy distribution.
Loss factors are obtained by CSM as well as finite element method (FEM) by ANSYS and spectral finite element method (SFEM) by Autosea2.
Another characteristics can be noticed is that multi-layer structures' loss factors change as freqency changes even if the core material's loss factor is set as a constant.
American Society of Mechanical Engineers, 1959: 49-87
Loss factors of viscoelastic systems in terms of energy concept [J].

The microstructure and mechanical properties of the resulting welds were examined.
Conventional arc welding methods applied to CP steels lead to wide heat-affected zones (HAZ) and degrade the properties of the base material [1].
The laser beam itself and the application of high welding speeds would reduce the heat input, one of the main factors governing the properties of welds.
Fatigue curves in Fig. 7 show that the A-series specimens possess considerably better fatigue properties.
Fatigue tests demonstrated better fatigue properties of the A-series specimens.

The coarse aggregate was made of abandoned concrete members by manual breaking to pieces and machine cyclic crushing, and sieved as continuous grading with 5mm~26.5mm grains, the basic properties are listed in Table 1.
Table 1 Basic properties of recycled coarse aggregate Grain size (mm) Compactness bulk density (kg/m3) Apparent density (kg/m3) 1h water absorption (%) Crush index (%) (ratio: 4/3/3) 5-10 10-20 20-26.5 1460 2651 4.55 24.8 The longitudinal tensile steel bars were HRB335 with test yield and ultimate strengths as list in Table 2.
Table 2 Mechanical properties of steel bars Steel bar 12 18 22 25 Yield strength fy（MPa） 420 390 390 375 Ultimate strength fsu（MPa） 625 580 595 575 Table 3 Mix proportion of recycled concrete Design strength Raw material dosage (kg/m3) W/C Sand ratio Slump (mm) cement Machine-made sand Recycled coarse aggregate Water Adsorption water Water reducer C30 300.0 864.2 1081.1 165 51. 9 1.49 0.55 0.44 65 C40 366.7 820.7 1086.2 165 51.5 1.83 0.45 0.42 102 C50 458.3 657.4 1148.8 165 52.5 2.28 0.36 0.36 105 Seven beams were designed different recycled concrete strength and reinforcement ratio, the length was 3.5m, the span was 3.2m.
Influencing Factors on Flexural Resistance of Beam.
Obviously, the reinforcement ratio was the main factor influencing the flexural resistance of reinforced recycled-concrete beams.

The design is verified and completed with performance tests, which finally show that the dynamic property of the engine is increased and its economy of is improved.
Besides, the compression ratio is comparatively low after supercharged so as to decrease the highest combustion pressure, reduce mechanical load and finally increase engine power.
Knocking combustion The abnormal combustion of gas in cylinder is mainly reflected by knocking combustion, which is mostly affected by factors like methane content, density of gas mixture, compression ratio, input air temperature, ignition energy, etc.
Besides, if the compression ratio is appropriate and the input air is lower than certain value, there will be no knocking combustion; if the excessive air factor is 1.2, knocking combustion is easy to occur; if the excessive air factor is over 1.5, the knocking combustion will occur at any temperature.
Select and estimation of supercharging parameters By investigating overseas turbo gas engine and combining the development experience of T190 series natural aspirating gas engine, the main thermal parameters affecting supercharging performance can be analyzed and estimated (omitted in this paper) to strictly control the adverse factors so as to achieve the supercharging effect.

The affecting factors are shown in table1.
For naked grating, is determined by the fiber properties.
After encapsulation, is determined by the substrate material properties.
is decided by the substrate material properties.
In addition to test accurately and use appropriate temperature compensation algorithm, temperature uniformity is another important factor affecting the temperature compensation effect.

The material property was known to be one of the most important factors that affected to the simulation accuracy.
The inverse method can be used to determine actual material properties, which is normally unobtainable from the experiment.
The method is highly interesting and can be applied to find proper material properties of a wide range of applications.
The inverse method involving gradient based on updating scheme was used to search for the actual mechanical property of non-pneumatic tire spokes.
This process was confirmed the authentic mechanical property of the radial spokes of the non-pneumatic tire.

For bending ordinary parts, the parts' curvature and angle have changed because of springback thus affecting the bending precision.
Micro tensile and bending test of pure copper foil Many factors affect metal sheet bending springback, just as blank thickness, grain size, bending angle, radius of die and clearance between punch and die.
Stress-strain relationships obtained in the tensile tests of Section 2.1 are set as materiel's plastic mechanical properties in order to ensure a more objective reality simulation result, Young's modulus E also take the corresponding  values in the stress-strain curves.
Influence of material thickness on bending springback Sheet thickness is an extremely important factor effect on bending springback both to macro and micro forming process.
Foils with thicknesses of 30μm, 50μm, 90μm, 140μm and 190μm are selected, stress-strain relationships obtained by tensile test after annealing(Heating to 400 ℃, holding temperature for two hours) as the materiel’s mechanical properties as numerical simulation are carried out .

Since hydrogen dissolves easily in titanium to form titanium hydrides which have a strong influence on the microstructure coarsening and mechanical properties, the study of the porous compacts hydrogenation was carried out by hydrogenation at different temperatures (870 K up to 1070 K) in a hot filament reactor.
Titanium exhibits good properties of hydrogen absorption and storage.
Because the sintering temperature slightly affects the densification [10] in this process, the initial powder size and shape have verified to be a dominant factor governing the porosity level.
All these factors became evident that the hydrogen has a significant influence in the mechanical properties of the 3D porous titanium samples contributing for its fragilization.
Titanium hydrogenation promotes significant changes in the microstructure and mechanical properties of the titanium compacts.

Several influence factors were studied, such as the impact velocity of rockfall, buried depth of pipeline, ratio of diameter to thickness and style of soil.
This paper simulates dynamic response of pipelines subject to rockfall using a pipe-soil nonlinear interaction FEM model, and the effect of several influence factors on dynamic response of pipeline have been simulated.
Fig. 1 Pipe-soil nonlinear interaction FEM model Material properties and element types.
Values of influence factors are shown in table 2.
Young's modulus and friction coefficient, which are important property of backfill, affect the deformation of pipeline.