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The aim of the present work is to develop and to apply on technological equipment geocement based thermal insulating materials with specified thermo physical and physic mechanical properties.
Physic mechanical properties were determined for the bar-type specimens, after subjecting them to thermal curing at 373 K for 24 h.
This significantly affects the product's cost obtained by such equipment.
In Table 2, the physic mechanical properties of the materials developed are presented.
Guziy: A Study on the Effect of Technological Factors on the Properties of Alkali Aluminosilicate System to Produce Fire Protecting Coatings, J.

Rz=DRz-Va·t (6) where Rz is height of roughness after mechanical hardening.
Obvious that a film thickness depends on many ignored factors, that is why the obtained values should be considered as average once, though their adaptation for calculation of machining modes is substantially enough.
Maximum residual compressive stresses [18]: (13) where К6 is coefficient taking into account ratio of modules of elasticity for the part and specimen materials; К7 is coefficient of reduction which equals to ratio of flexures of specimens made of the part and test specimen materials; К8 is differentiable coefficient taking into account vibration of geometry, roughness and mechanical properties of the part and specimens materials.
The combined machining permits to increase quality factors of material surface used for parts with ducts of complicated configuration.
Pokhmursky, Investigation of hydrogen influence on metals in Kar-penko physico–mechanical institute, Phys.

The load distribution of rough rolling in hot strip mills (HSMs) is one of the important factors affecting the shape of transfer-bar.
Fig. 7 Influencing factors of bending force and shifting setting The transverse strip model is used to calculate some parameters related to the strip characteristics considering factors such as temperature, steel grade, width to thickness ratio, etc.
Yashiki, Magnetic and mechanical properties of newly developed high-strength nonoriented electrical steel, IEEE T.
Magnetic and metallurgical properties of high-tensile steels, J Mater.
Zou, A specialized finite element model for investigating controlling factors affecting behavior of rolls and strip flatness, 4th International Steel Rolling Conference--the Science and Technology of Flat Rolling. (1987), 2

The Influence of Surface Dipping and Bulk Filling Agents on Properties of High-Speed Grinding Wheels: Materialographic-Based Numerical Modelling Ladislav Čelko1,a*, Petr Skalka1,b, Karel Slámečka1,c, David Jech1,d, Lenka Klakurková1,e, Ivana Ročňáková1,f, Jiří Švejcar1,g, Daniel Holemý2,h and Jozef Kaiser1,i 1Research Group of Materials Characterization and Advanced Coatings, Central European Institute of Technology, Brno University of Technology, Purkyňova 123, 612 00 Brno, Czech Republic 2Best - Business, a. s., Zbraslavecká 777, 679 72 Kunštát, Czech Republic aladislav.celko@ceitec.vutbr.cz, bpetr.skalka@ceitec.vutbr.cz, ckarel.slamecka@ceitec.vutbr.cz, ddavid.jech@ceitec.vutbr.cz, elenka.klakurkova@ceitec.vutbr.cz, fivana.rocnakova@ceitec.vutbr.cz, gjiri.svejcar@ceitec.vutbr.cz, hdaniel.holemy@bestb.cz, ijosef.kaiser@ceitec.vutbr.cz Keywords: Grinding tools, Structure, Scanning electron microscopy, FE Analysis, Surface dipping, Bulk filling.
Furthermore, porosity is one of the most important factors influencing the performance of the grinding wheel [3].
Besides cooling and removal of the chips and abrasive generated during the grinding process, porosity, together with volumetric composition of the wheel affect mechanical properties and thus determine operational constraints.
The properties of present material components were assumed to be as follows: the Young’s modulus E = 1150 GPa and Poisson’s ratio n = 0.15 for abrasive grains, and E = 300 GPa and n = 0.27 for the binder.

After cooling, samples were taken from different parts for test of mechanical properties and hardness test, microstructure analysis and bench fatigue test.
Microstructure and properties of 1800 MPa-grade cold-rolled hot stamping steel.
Microstructure and mechanical properties of Nb-Ti micro-alloy hot stamping steel.
Development of Niobium Alloyed Press Hardening Steel with Improved Properties for Crash Performance.
Effect of Hot Forming Temperature on Microstructure and Machanical Properties of High Strength Square Tubes.

Characterization of LFG Emissions Factors for MSW Landfills Gheorghe VOICU1,a*, Danila VIERU1,b and Mirela DINCA1,c 1University Politehnica of Bucharest, 313 Splaiul Independentei, sector 6, Bucharest, Romania aghvoicu_2005@yahoo.com, bdanila.vieru@gmail.com, cmirela_dilea@yahoo.com Keywords: MSW landfills, landfill gas, permeability, biofilters.
By increasing deposit capacity, diversification of chemical-mechanical treatments for municipal solid waste (MSW), the leachate recirculation or other technical innovations, it is possible to increase the production capacity of the CH4 collection, so the usual gas emission duration should be increased.
The LFG emissions are affected by permeability, by the landfill body pressure, the atmospheric pressure within MSW landfill body, or other factor like: environmental temperature, humidity of the waste and by the coexistence of those three phases, namely: solid, liquid and gaseous.
The considered approaches served as the basis for the development of the gas and heat transport model, which takes into account the variation of the hydrodynamic properties of the landfill (MSW) resulting from their secondary compaction.

Addition of graphite powder increases its electric conductivity, hence, introducing new functionality to building materials such as self-sensing and self-heating properties.
The mechanical properties and application possibilities of AAS are very similar to OPC based materials.
Although graphite is added to improve the sensing properties of the building material, it should not deteriorate its mechanical fracture properties.
Addition of graphite also affected fracture properties.
Keršner, Mechanical fracture properties of alkali-activated slag with graphite filler, Procedia Engineering, 2017, accepted for publication

These cathode materials exhibit excellent properties for ionic and electronic conductions as well as the oxygen catalytic activity below 800 °C [1-3].
For anode-supported SOFC, the factors to evaluate cell performance in terms of electrode microstructure include electrode thickness, porosity, tortuosity, pore size distribution, electrical conductivity, triple phase boundary (TPB) length, and mechanical strength.
It is difficult to obtain the real data directly via experimental approaches for some factors mentioned above.
Conclusion The anode porosity plays a crucial role affecting the performance behavior of SOFC.
An anode substrate with the suitable thickness and sufficient porosity to achieve a required mechanical strength and the target of high cell performance is the critical issue for the SOFC development.

Moisture and heat commonly encountered in the service environment of nuclear plants have been considered major factors in determining the long-term reliability of adhesively bonding characteristics.
In response to the effects of water and heat in polymers, the thermal properties and mechanical properties including tensile strength, elastic moduli, and the fracture toughness can be significantly affected.
In the process, mechanical property of solid medium affects not only wave polarization but also phase in the medium after refraction.
In this arrangement, the amplitude and time-of-flight (TOF) of each wave packet (conversion mode) depend upon a relative variation of material property.
Comparing to the case of metal, it is quite large and implies that material property has been changed throughout the aging process.

Distinguishing types and distributions of these meso-compositions are of significantly importance in analyzing the properties of granite in practice.
Introduction Granite is generally composed of varying amounts of three mineral compositions, quartz, feldspar and mica, and the relative proportion of these minerals determines the mechanical properties.
Tang and White [9] utilized the Bayes rule to model the distribution of petrophysical properties conditional to sedimentary facies.
Nevertheless, some factors in processing may influence the result.
The methods presented herein may provide more valuable information in the examination of the types of minerals and mechanical properties of rock materials.