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Once switching in, the conversion of communication medium will be realized. 2.2 Servo Control System As the footstone of the entire AS/RS, servo control’s property can directly influence AS/RS index.
If using frequency technology or traditional servo speed control, the stacker’s running speed will fluctuate greatly and its stop position repeat precision will be poor which will greatly affect the action of picking and putting pallet or even will cause damage to the equipment.
With low cost, it is little influenced by mechanical resonance.
However, the position feedback pulse is not gained through direct measurement of the mechanical position, so position running will produce errors.
But it is easily influenced by factors as mechanical resonance, etc.

It is known from our experimental measuring process that, the distinct factors influencing measurement uncertainty mainly lie in: uncertainty u1 due to indication error of Grade III standard dynamometer, uncertainty u2 due to the error of charge amplifier and uncertainty u3 due to indication error of multimeter.
(6) Since Eq. (3) is calculated indirectly by pure primary and primary piezoelectric effects, as per the calculation equation of combined uncertainty for independent influencing factors:
Li: Mechanical Systems and Signal Processing Vol. 23 (2009), pp. 2687–2698
Cheng: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science Vol. 222 (2008), pp. 1541-1546
Zhou: Proceedings of the Institution of Mechanical Engineers, Part C, Journal of Mechanical Engineering Science 223 (2009) 1777-1785.

The calculated results were compared with the experimental data measured in deep drawing experiments. 1 Introduction TRIP-assisted steel possesses favorable mechanical properties such as high strength, ductility and toughness because of the martensitic transformation occurs during plastic deformation [1].
Powell et al. [4] considered that the deformation mode substantially affects the transformation of martensite in the plastic range, and that uniaxial tension can promote transformation more than either compression or torsion.
It can be concluded that the transformation depended on stress triaxiality should be considered when modeling the multiaxial mechanical behaviour of the low alloy TRIP steels.
The strain-induced transformation of retained austenite needed the mechanical driving force come from the accumulated strain energy.
The value of triaxiality factor at the region B is larger than that at the region A during the whole forming process.

Fiber optics technology offers today durable solutions for bridge monitoring, and recent advances in Micro Opto Electro Mechanical Systems (MOEMS) suggest that in the near future we will be able to rely on very small-scale optical devices.
A Bayesian approach provides a rational framework to interpret the data, also allowing proper handling of all prior knowledge, including material properties, environmental conditions and sensor performance.
To predict the strain history and distribution, we developed a Finite Element Model (FEM) of the deck accounting for all geometrical and mechanical properties of structural elements, including pre-stressing, creep, shrinkage and relaxation [10].
However, in real life the compensated response is affected by instrumental error, imprecise compensation of external action and other unpredictable factors.
For instance, the simulation reported clearly shows that parameters such as mechanical properties of material and damage position can be identified with very high precision.

In Honduras, the numbers are equally significant: around 2,000 women are diagnosed with breast cancer each year, affecting both young and adult women [3].
Among the materials used in such developments are flexible resin and thermoplastic polyurethane (TPU), both of which are compatible with 3D printing processes and possess properties that allow the prosthesis to adapt to the specific characteristics of each patient [15, 16].
The way a patient adapts to her new body image, resumes her daily activities, and feels secure in her environment depends on multiple factors that must be addressed in an integrated manner. 3D scanning, design, and prototype fabrication.
This design choice also improved material usage and reduced manufacturing time without compromising the mechanical performance of the model.
In the scapular plane, the response was immediate, which may be attributed to both mechanical adjustment and the visual perception of symmetry.

Its work environment is complex, and the unsafe factors are more and cover a wide range.
The main hazardous factors of construction may result from mechanical equipment, temporary power utilization, basic engineering, structure engineering, etc.
These hazardous factors can be avoided or reduced by measures of elimination, minimization, substitution, moderation, simplification, etc.
The review content should contain hazardous factors, hazardous sources and effects.
For an engineering project, the construction safety depends on many factors, but the construction sequence and related technology are the core.

INTRODUCTION Fracture, erosion and abrasion are the three key kinds of failure for mechanical parts and engineering components.
Fracture is happened unexpectedly usually and often causes a great loss of life and property.
Applying crack technology into the field of mechanical manufacturing will provide a completely new method of surface form.
So the geometric parameters of notch have little effect on brittle critical stress intensity factor.
The factors affecting the cycle times of fracture include the geometric parameters of notch and the presetting deflection, which focus on the cycle times of fracture.

The efficiency of bond mechanism relies on the fundamental property of bonding material, that is the tensile strength [2].
And all the factors which increase the hoop stress or reduce the tensile strength of concrete are detrimental to the bond behavior [2].
However, the temperature range in which resin mortar can be used for splicing steel bars subjected to tensile stresses may be limited, in view of increased creep with temperature, which affects the performance of the grout.
Fly ash was used as micro-filler to investigate its effect on engineering properties of resin grout.
The purpose was to investigate the effect of fly ash content on the mechanical properties of resin grout.

In 1868, a second invention was patented which offered mechanical solution for safety hatches.
Lee [14] proposed an analytical solution for safety apparatus which caused accident again and again among dangerous factors of the elevator.
As a result, the overall size of the door mechanism has decreased by 1.8 times which affects the manufacturing cost of the products.
In such transmissions, the heat transfer improves, the strength properties of polymers are fully used, friction losses and wear of teeth are reduced [3].
[2] Yanovsky, L., “Projection of the mechanical equipment of the elevator”, Elevator World, INC.

Study on Thermal Placement Optimization of Embedded MCM Chunyue Huang1,a, Tianming Li2,b, Ying Liang3,c, Hegeng Wei1,d 1.School of Electro-Mechanical Engineering, Guilin University of Electronic Technology, Guilin 541004, China) 2.
If the placement of dies is unreasonable, 3D-MCM will involve in too large temperature gradient between inside and outside of it, or the over-high temperature will cause the components in it working on the condition of exceed the maximum rated temperature that leads the components to failure, and then the reliability of 3D-MCM is affected.
Temperature field analysis of embedded MCM When chips placement is carried out, because of T the power of each chip is different, as the result, the location of the each chip may has a great influence on the chip’s temperature change in this case, the change in temperature Is the main reason to cause thermal stress, and the distribution of thermal stress is key factor which affect MCM reliability.
Detailed material properties of MCM are listed in Table 1.
Table 1 Material properties of embedded MCM Fig.1 Initial placement of chips in embedded MCM Fig.2 FEA model of embedded MCM Fig.3 Perspective of embedded MCM Fig.2 shows the finite element temperature field analysis model of embedded MCM, Fig.3 is the perspective of the model.