Search results

This approach involves the consideration of heat, air and moisture (HAM) transfer and control of a building, specifically, how the coupled relations between different transient systems (mechanical system, building envelope, indoor environment, outdoor environment, and occupants) affect the building performance and operation.
Future tests will be undertaken to consider other factors such as indoor air quality based on carbon dioxide concentration, heating and ventilation energy consumption, and alternative finishing materials.
Mechanical Room Test Room Figure 2.
Based on existing knowledge on the moisture buffering of materials, it may be possible to create a suitable indoor environment by using alternative finishing materials that may have different material properties than conventional drywall, which may maximize the moisture buffering ability.
Bomberg (Eds.), Moisture control in buildings: the key factor in mold prevention (2nd ed., pp. 103–109).

Coconut Shell properties S.
Fine aggregate properties S.
Physical properties of Coarse aggregate S.
However, a number of factors, including as the kind and size of coconut shell aggregates, the conditions under which they cure, and the overall mix design, will affect the specific density.
An experimental investigation of key mechanical and durability properties of coconut shell concrete with partial replacement of fly ash.

With computer-assisted engineering analyses, this study tends to look for the factors in breaks and the design for follow-up reinforcement according to the distribution and concentrated positions of stress in the structure.
Regarding the load of symmetrical supportive wings NACA 0018, AOA between free stream and the leading edge is 0o that coefficient of lift is not calculated, but coefficient of drag is 0.0268. 2-3 Material properties The utilized materials contain four layers, and the thickness of each layer would be slightly different according to the materials.
DBLT 600-E (Quadriaxial E-glass fiber direction (quasi-isotropic material), Density = 1.66 g/cm3, volume fraction = 36.5% , thickness = 0.6 mm; Mechanical properties: Tensile modulus = 13.5 GPa, Tensile Strength = 253 MPa, Compressive Strength = 195 MPa, Shear Strength = 111 MPa 2.
L 600-E Unidirectional E-glass fiber direction (Orthotropic matrial); Density = 1.66 g/cm3, volume fraction = 36.5%, thickness = 0.69 mm; Mechanical Properties: 1-1 direction: Tensile modulus = 24.5GPa, Tensile Strength = 710MPa, Compressive Strength = 348MPa; 2-2 direction: Tensile modulus = 8.0GPa, Tensile Strength = 70MPa, Compressive Strength = 120Mpa 3.
From the four cases, increasing the length of patches does not significantly affect the reduction of the maximum stress.

The leak probability of both pipe sizes is not affected by the seismic curve.
Security factors with fixed values ​​have been substituted for a conventional probability of failure value.
In the probabilistic structural integrity evaluation, the failure probability is calculated using mathematical models, which include dominant factors concerning with the failure behavior.
The material properties required for the crack growth of 304 steel are introduced into this code and preselected in this case.
The leak probability is not affected by the seismic curve.

Also the factors such as restricted manufacturing accuracy, indispensable clearances at joints, elastic distortions and other stochastic factors, always cause the theoretical feasible optimal solution unfeasible[3].
By introducing the conception of mechanism solution regions, both the mechanism solutions and their properties can be exhibited on the finite coordinate plane.
All the above causes affect mechanism function by modifying link dimensions.
Feasible mechanism solution region D0¢ in which solutions satisfy conventional constraints can be obtained by taking appropriate calculating step to get solutions and computing their properties of interest.
Erdman: Journal of Mechanical Design Vol. 113 (1991), p. 3 [4] C.

Combining strengthening by grain size reduction with precipitate hardening is an attractive approach for the improvement of the mechanical properties of UFG alloys.
Recently some strategies for structure and properties optimization have been proposed by Hirosawa and co-authors [38].
Schematic Time/Temperature/Transformation (TTT) diagrams showing a SPD induced phase separation in a quenched super-saturated solid solution induced by: a) - temperature increase during the SPD process; b) - significant change of the atomic mobility resulting from crystalline defects created during the SPD (leading to the modification of the transformation area delimited by the blue line) Grain boundary segregations induced by SPD GB segregation is an extremely sensitive phenomenon because it may affect such material properties like toughness, ductility, corrosion resistance or thermal stability [75-77].
The combination of UFG structures with precipitate hardening faces a real challenge to optimize the nanoscaled structure and thus the final properties.
Some unique features like segregations along the non-equilibrium GBs created by SPD could have a positive effect on properties (better thermal stability, for example), but also a detrimental effect (easy solute source for heterogeneous precipitation or solute starvation for intra-granular precipitation).

The Post-Yield stiffness was not affected by the change in bolt gauge.
Many factors can affect the behaviour of these components such as concrete-infill grade and slenderness ratio of SHS face [10].
The samples were cut from the same SHS tube to eliminate any discrepancy associated with the material properties of the SHS.
The Post-Yield stiffness was not affected by the variation of bolt gauge.
Elghazouli, Component-based mechanical models for blind-bolted angle connections.

The quality largely affects the component life and the reliability [4].
On these aspects depends other important factors as noise, electrical conductivity, accuracy, heat transfer, friction, corrosion resistance and others.
Table 6 Factor analysis; two variables Number of Combinations x1 x2 x1 x2 z 1 vcmin fzmin -1 -1 z1 2 vcmin fzmax -1 1 z2 3 vcmax fzmax 1 1 z3 4 vcmax fzmin 1 -1 z4 In planning of experiment we were monitoring one of the output parameter during changing of more input factors.
The most important factors, which had an affect on output parameter, are cutting conditions (depth of cut, feed rate, cutting speed, tool geometry, mechanical properties, machine tool, etc.).
Proceedings of the Institution of Mechanical Engineers. (1978), No. 192. p. 178-188

Limit Pressure of Rupture Discs Found on Tensile Instability Condition Guangfan Gao1,a, Guodong Wang1,b, Xinwei Ding2,c and Jiangjun Chen1,d 1 College of Mechanical & Energy Engineering, Jiangsu Polytechnic University, Changzhou, 213016, China 2 Institute of Special Chemical Equipments, Dalian University of Technology, Dalian, 116012, China a g.gf@163.com, bwangguodong1982@163.com, cxwding2003@hotmail.com, dskyouchen@163.com Keywords: Instability, Limit pressure, Bulge, Strength coefficient, Rupture disc.
This has potential value for the tests of mechanical properties of sheet metals.
This may be affected by many factors such as loading, material, structure and the like.
Considering that measurement of limit pressure is the simplest one among that of all parameters, the formula will benefit the test method of mechanical properties of sheet metals, especially the tensile tests at elevated temperature or low temperature.

Introduction There are many factors influencing the yarn hairiness of ring spinning [1-3] because ring spinning yarn production is a complex multi-step technological process, and the structure of yarns is complicated.
However, the fuzzy and complex relationships between these factors and yarn hairiness [4-5] are nonlinear so that it is necessary to find an accurate and effective approach to characterize the ring spinning yarn producing process in order to realize the yarn virtual producing.
Therefore, it can be well used to predict yarn properties quantitatively.Over the past decades, researchers [6-10] have established artificial neural network for modelling various textile nonlinear problems.
The ring spun yarn property under study is the yarn hairiness.
The momentum factor is 0.67.