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Many factors affect the degree of wall deposition.
These include operating parameters such as airflow patterns (chamber geometry and position of inlet-outlet port), primary conditions (inlet temperature, air flow rate, flow rate of liquid feed, and particle size), and wall properties (wall materials) [3,4].
In this paper, we attempted to observe the behavior of wall deposition temperature changing in a tall-form spray dryer at various operating temperatures, and the factors that the effects of thermocouple wiring on the surface area had at different elevations in the drying chamber.
Experiments were carried out in the pilot-scale spray dryer at the Department of Mechanical Engineering at Khon Kaen University, Khon Kaen, Thailand.
Acknowledgements The authors would like to express their sincere thanks to Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University and King Mongkut’s University of Technology North Bangkok, Thailand for their financial support.

Consistency of the response of the DM is the most important factor guaranteeing the success of the procedure.
This analysis can help to identify the key design variables whose variation affects mostly the performance indices.
In fact variance-based analysis requires a one-factor-at-a-time treatment.
The rating results are evaluated in conjunction with the chosen material properties and a decision is made whether to proceed with this design or iterate to a better solution.
Mechanical constraints require the calculation of the loads, stresses and deformations produced during the meshing gear teeth but this demands the evaluation of geometrical constraints at the first stage.

Several factors affecting the process outcome are the bacteria selection [3,4], enzymatic and non-enzymatic metabolite products [5], micro-nanoporous role [3,6] on lignite surface in the biodegradation/ biosolubilisation/ bioleaching [7] and biosorption-desorption process [8].
Column bioflotation stage mainly has a function in further depyritization-demineralization based on the differences in surface properties, i.e. hydrophilic-hydrophobic [10], for the recovery of clean coal with the principle of aerohydrodynamic mechanism and particle-bubble countercurrent [11], which distinguishes it from the mechanical flotation method.
Organic sulphur degradation of 4 different biotreatment methods (A: without preconditioning; B: 0 day treatment; C: 15 days treatment; D : 40 days treatment) with 2 level column flotation reagent treatment (minimum dosage of reagent (-), maximum dosage of reagent (+)) and three factors (fine coal characteristic & M biotreatment, K collector, B frother).
F0 value results from variance analysis of 3 factor factorial design of each treatment method with value of F0,05(1, 8) = 3,46 compared to organic sulphur degradation.

Micromechanical properties of the alloy were detected with the aid of statistical nanoindentation.
Material properties used for the simulation were determined by compression and tension tests performed with Zwick Z250 machine.
The in/homogeneity of the micromechanical properties was studied by means of statistical nanoindentation.
Average tube wall mechanical properties were measured with Hysitron Tribolab® nanoindenter equipped with the Berkovich tip indenter.
After the extrusion microstructure and micromechanical properties of obtained tubes were studied.

The general form of state space equation is as (6); (6) In the following tables properties of the proposed ring MEMS are defined.
Material properties for chosen MEMS.
System properties when input angular velocity is zero are written in table 3 and System properties when input angular velocity is 0.35 rad/s are written in table 4.
Table 3 .System properties by zero angular velocity.
System properties by 0.35 rad/s angular velocity.

Moreover, comparing the evaluation results of the relationship between the clamping load and the contact width by using the finite element method (FEM) analysis with the experimental results of the clamping load and the leakage, the contact width which affects the occurrence of leakages on new metal gasket was clarified.
In order to ensure the properties of the material, SUS304 was initially validated by carrying out a tensile test based on JISZ2241 [6].
This condition denotes that surface roughness is an important factor that influences the rate of leakage through seals [10].
In the next study, gasket surface roughness is one of the important factors to be considered during the simulation for determining contact width.
Simulation and Experimentation on the Contact Width of New Metal Gasket for Asbestos Substitution, International Journal of Aerospace and Mechanical Engineering Vol. 5 No.4 (2011) pp.283-287

It can also enhance the physical and chemical properties of the electrode, increase the capacity of the finished product and extend the service life.[2],[3] If the air temperature during the drying process is too high, the coating is prone to cracking, surface wrinkling and other defects post drying; If the air temperature is too low, the drying process would take longer and consumes more energy.[4],[5] Li et al.[6] studied the characteristics of the flow field in the drying box of lithium-ion battery electrode, and carried out an overall improved design.
In the process of hot-air drying, the main parameters that affect drying are air temperature and airspeed.
Table 1 Orthogonal experiment table of hot-air drying Factor Serial number 1 2 3 4 5 6 7 8 9 10 11 12 Air temperature [℃] 80 80 80 90 90 90 100 100 100 110 110 110 Airspeed [m·s-1] 1.6 2.3 3 1.6 2.3 3 1.6 2.3 3 1.6 2.3 3 In the process of infrared drying, the main parameters that affect drying are radiation power and radiation distance.
As can be seen from Figure 3, under the condition of Experiment 5, the surface morphology of the dry electrode coating is preserved better, which can provide better mechanical properties for lithium-ion battery cathode electrode.
As can be seen from Figure 6, under the condition of Experiment 2, the surface morphology of the dry electrode coating is preserved better, which can provide better mechanical properties for lithium-ion battery cathode electrode.

Introduction Due to the excellent mechanical properties of Ti-6Al-4V, such as low density, high strength, excellent corrosion resistance, and workability, this alloy is utilized in many industrial applications such as the aerospace industry, medical applications, power stations, and chemical plants [1,2].
For optimal THT application, it is significant to have reliable information regarding hydrogen uptake and solubility and determine the appropriate temperature for hydrogen absorption and its effect on the mechanical properties of Ti-6Al-4V [10-14].
The main factors include the size of the grain boundaries, microstructure type, vacancies concentration, and crystal lattice type.
In contrast, the secondary factors include the impurities quantity, alloying elements quantity, and metastable phases in the alloy [14,17].
Activation energies Q and preexponential factors Do at different temperatures (T) for various microstructures of Ti-6Al-4V Structure Type Qα at low T.

On the other hand, numerical method, derived from sound mechanical principles and validated against experimental data.
Figure.1 Strength model of material model It should be mentioned that rate dependence of the model is represented by a dynamic strength increase factor (DIF) as follows, (5) where C is a constant, is the actual equivalent strain rate, is a reference strain rate used to normalize the strain rate.
Table.1 Properties of granite rock mass with good quality The material constants A and N in the model for the intact rock mass are derived from the result of the [24].
The Hoek–Brown criterion is an empirical criterion originally developed for applications in underground excavation design, which is expressed as (6) Numerical Simulations Mechanical properties of rock materials are affected by strain rate, which may influence the rock fracture pattern.

Mechanical characterisation of braided composites using micromechanics methods for a unit cell of the braid have been extensively investigated and can provide a good prediction of elastic properties [1]; however, prediction of progressive damage and failure modelling is still an area of active research.
Alternatively, a much larger subset, 45x45 pixels, was used for [±45°]2S laminates which had the effect of improving point recognition without affecting the sensitivity in local strain variation.
These two factors most likely explain the fibre dominated linear elastic failure mode observed experimentally.
Digital image correlation provides a powerful method to fully understand strain distribution in the specimen during loading and obtain mechanical properties required for model calibration.
Standard test method for compressive properties of polymer matrix composite materials with unsupported gauge section by shear loading.