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Online since: July 2022
Authors: Kateryna Tsytlishvili
Natural factors that affect the content of these elements in water reservoirs include their intake from the underlying soils, bottom sediments of water reservoirs, precipitation, etc. [3].
Elastic polyurethane foams in such indicators as porosity, mechanical durability, hydrophobicity, adsorption properties have a significant advantage over many materials [25] used by carriers of activated sludge microorganisms.
Research into surface properties of disperse fillers based on plant raw materials.
Shcherbak, Results of experimental research into correlations between hazardous factors of ignition of materials in premises.
A study of significant factors affecting the quality of water in the Oskil River (Ukraine).
Elastic polyurethane foams in such indicators as porosity, mechanical durability, hydrophobicity, adsorption properties have a significant advantage over many materials [25] used by carriers of activated sludge microorganisms.
Research into surface properties of disperse fillers based on plant raw materials.
Shcherbak, Results of experimental research into correlations between hazardous factors of ignition of materials in premises.
A study of significant factors affecting the quality of water in the Oskil River (Ukraine).
Online since: October 2024
Authors: Atitsa Petchsuk, Pakorn Opaprakasit, Yusuf Arya Yudanto
In comparison to conventional plastics, such as polystyrene (PS) and polyethylene terephthalate (PET), PLA possesses comparable mechanical and physical properties (such as high modulus, high strength, great clarity, and barrier properties) [2].
Therefore, it is of the highest concern to generate polymeric foams with enhanced performance to understand the relationship between influential factors in foaming processes with the cellular morphology and final properties [37].
Although a series of single experiments can reveal the key factors affecting foam behavior, they may not detect second-order effects.
The one-factor-at-a-time (OFAT) approach is limited in capturing interactions between factors.
Poly (lactic acid): synthesis, structures, properties, processing, applications, and end of life: John Wiley & Sons; 2022
Therefore, it is of the highest concern to generate polymeric foams with enhanced performance to understand the relationship between influential factors in foaming processes with the cellular morphology and final properties [37].
Although a series of single experiments can reveal the key factors affecting foam behavior, they may not detect second-order effects.
The one-factor-at-a-time (OFAT) approach is limited in capturing interactions between factors.
Poly (lactic acid): synthesis, structures, properties, processing, applications, and end of life: John Wiley & Sons; 2022
Online since: September 2012
Authors: José Carlos Bressiani, Kalan Bastos Violin, Tamiye Simone Goia, Ana Helena de Almeida Bressiani
The titanium is used as porous implants due its excellent mechanical properties and biological interaction.
The topography of the implant is one of the factors that influence the process of bone repair to osseointegrate the implant.
Titanium and its alloys are the main metals studied as porous implants by its excellent mechanical properties, biological interactions and formed passivation layer.
Nakamura, Mechanical properties and osteoconductivity of porous bioactive titanium, Biomaterials 26 (2005) 6014-6023
Li, D.C Dunand, Mechanical properties of directionally freeze-cast titanium foams.
The topography of the implant is one of the factors that influence the process of bone repair to osseointegrate the implant.
Titanium and its alloys are the main metals studied as porous implants by its excellent mechanical properties, biological interactions and formed passivation layer.
Nakamura, Mechanical properties and osteoconductivity of porous bioactive titanium, Biomaterials 26 (2005) 6014-6023
Li, D.C Dunand, Mechanical properties of directionally freeze-cast titanium foams.
Online since: July 2011
Authors: Wen Bin Su, Xiang Bing Sun, Tao Li, Bao Jian Liu
The quality of refrigerator inner liner not only affected by each structural characteristic, but also affected by mutual coupling of structural characteristics.
Table 3 lists the factors and factor levels selected in the main experiment.
And those most significant factors could be disclosed basing on the result of range analysis.
Table 5 summarizes the statistics analysis of the effect of different factors on minimum thickness.
Forum Vol. 47 (2007), p. 804-813 [5] ISO6721-6: Methods of Testing Plastics-Part 3: Mechanical properties-Method 323C: Shear vibration-Non-resonance method[S]. 1996
Table 3 lists the factors and factor levels selected in the main experiment.
And those most significant factors could be disclosed basing on the result of range analysis.
Table 5 summarizes the statistics analysis of the effect of different factors on minimum thickness.
Forum Vol. 47 (2007), p. 804-813 [5] ISO6721-6: Methods of Testing Plastics-Part 3: Mechanical properties-Method 323C: Shear vibration-Non-resonance method[S]. 1996
Online since: December 2012
Authors: Da Wei Tong
Real-time control model of schedule and quality
The excavation of large underground powerhouse is a dynamic construction process, which is affected by geological condition, excavation technics, excavation sequence and other factors.
(3) Where, The construction process of large underground is affected by geological condition, development degree of groundwater, spatial relationship of cavern group, technology, organization mode, construction machinery and so on.
The main infection factors are as follows.
Using dynamic programming principles and dynamic construction mechanics method [10-12], the mechanical property indexes of various excavation schemes are compared in Table 1.
Mechanical property indexes of various excavation schemes Scheme description UX[mm] UY[mm] Area of plastic zone [m2] 1 P1T1-P2T2T3-S1-P3S2-P4S3-P5-P6 10.330 4.647 312.8 2 P1T1-P2S1-P3S2-P4T2-P5T3-P6S3 10.307 4.641 229.1 3 P1S1-P2T1-P3S2-P4S3-P5T2-P6T3 10.293 4.647 209.7 4 P1T1S1-P2S2-P3T2S3-P4T3-P5-P6 10.317 4.615 251.3 5 P1-P2T1S1-P3T2S2-P4T3S3-P5-P6 10.331 4.655 335.6 6 P1-S1-P2-P3-P4-P5-P6-S2-S3-T1-T2-T3 10.326 4.635 279.7 Fig. 5 Plastic zone of scheme 3 Fig. 6 Resources strength graph after optimization It is obvious that implementation of optimization scheme can reduce the area of plastic zone, improve safety of surrounding rock and then decrease support cost.
(3) Where, The construction process of large underground is affected by geological condition, development degree of groundwater, spatial relationship of cavern group, technology, organization mode, construction machinery and so on.
The main infection factors are as follows.
Using dynamic programming principles and dynamic construction mechanics method [10-12], the mechanical property indexes of various excavation schemes are compared in Table 1.
Mechanical property indexes of various excavation schemes Scheme description UX[mm] UY[mm] Area of plastic zone [m2] 1 P1T1-P2T2T3-S1-P3S2-P4S3-P5-P6 10.330 4.647 312.8 2 P1T1-P2S1-P3S2-P4T2-P5T3-P6S3 10.307 4.641 229.1 3 P1S1-P2T1-P3S2-P4S3-P5T2-P6T3 10.293 4.647 209.7 4 P1T1S1-P2S2-P3T2S3-P4T3-P5-P6 10.317 4.615 251.3 5 P1-P2T1S1-P3T2S2-P4T3S3-P5-P6 10.331 4.655 335.6 6 P1-S1-P2-P3-P4-P5-P6-S2-S3-T1-T2-T3 10.326 4.635 279.7 Fig. 5 Plastic zone of scheme 3 Fig. 6 Resources strength graph after optimization It is obvious that implementation of optimization scheme can reduce the area of plastic zone, improve safety of surrounding rock and then decrease support cost.
Online since: October 2024
Authors: Trond Furu, Ole Runar Myhr, Mads Iddberg, Anders Nesse
The methodology, PRO3 TM, incorporates product properties, production- and material costs as well as CO2 footprint in an optimisation procedure.
Consequently, high levels of PCS may affect both the thermomechanical treatment along the value chain and the properties of the product.
The present article demonstrates that the optimum profile design for a given product can be influenced by the amount of PCS used, as the mechanical properties may vary due to the larger chemical composition window.
This term will vary between different sites depending on factors such as the fixed costs and costs of labour and energy. vram and vramref are the extrusion ram speed for the comparative case and for a reference case, respectively.
Myhr, "Method for the Optimization of Product Properties and Production Cost of Industrial Process," (2014)
Consequently, high levels of PCS may affect both the thermomechanical treatment along the value chain and the properties of the product.
The present article demonstrates that the optimum profile design for a given product can be influenced by the amount of PCS used, as the mechanical properties may vary due to the larger chemical composition window.
This term will vary between different sites depending on factors such as the fixed costs and costs of labour and energy. vram and vramref are the extrusion ram speed for the comparative case and for a reference case, respectively.
Myhr, "Method for the Optimization of Product Properties and Production Cost of Industrial Process," (2014)
Online since: June 2014
Authors: Jun Heng Li, Hao Ran Cao, Rong Hua Huang
Specifically, the effective thermal conductivity of Li2TiO3 is an important parameter for the design and thermal-mechanical of fusion reactor blanket.
First, the effective thermal conductivity of pebble bed can be adjusted by size of pebble, packing factor and shape of bed.
Dalle Donne’s work proved the convection does not affect the effective thermal conductivity of the pebble bed when the velocity of the purge gas was low (<1 mm/s) and the pebble bed can be considered under a stagnant condition [1].
Theoretical calculation Fig. 1 shows the 2D schematic array of pebble bed and the theoretical packing factor is 65.5%.
Yamawaki, Non-stoichiometry and its effect on thermal properties of Li2TiO3, Fusion Eng.
First, the effective thermal conductivity of pebble bed can be adjusted by size of pebble, packing factor and shape of bed.
Dalle Donne’s work proved the convection does not affect the effective thermal conductivity of the pebble bed when the velocity of the purge gas was low (<1 mm/s) and the pebble bed can be considered under a stagnant condition [1].
Theoretical calculation Fig. 1 shows the 2D schematic array of pebble bed and the theoretical packing factor is 65.5%.
Yamawaki, Non-stoichiometry and its effect on thermal properties of Li2TiO3, Fusion Eng.
Online since: February 2012
Authors: Zi Yue Wu, Zhe Xu, Shi Biao Yu
In view of the main factor, getting the ball contact force distribution.
Material properties table as shown in Table. 1.
Ball screw material properties Name ball Surface Modulus of elasticity(GPa) 207 207 Poisson's ratio 0.3 0.3 Radius of curvature(mm) 3 4 Quality (kg) Fig. 1.
The contact stress between ball and ball screw groove is bigger than between ball and nut, and the difference of contact stress leads to different characteristics,which is one of importantly reasons that the ball screw groove wear faster,as influences the effective life of ball screw pair.Therefore,it should take contact factors into account to design ball screw pair.
Journal of Mechanical Design(2003),125, 717-733
Material properties table as shown in Table. 1.
Ball screw material properties Name ball Surface Modulus of elasticity(GPa) 207 207 Poisson's ratio 0.3 0.3 Radius of curvature(mm) 3 4 Quality (kg) Fig. 1.
The contact stress between ball and ball screw groove is bigger than between ball and nut, and the difference of contact stress leads to different characteristics,which is one of importantly reasons that the ball screw groove wear faster,as influences the effective life of ball screw pair.Therefore,it should take contact factors into account to design ball screw pair.
Journal of Mechanical Design(2003),125, 717-733
Online since: March 2024
Authors: Shenglin Cui, Atsushi Sakuma, Tsuyoshi Morita, Hideo Matsui
Subjective evaluations include both tactile and visual evaluations [1-3], but it has been shown that factors such as subject selection and environmental conditions can affect the results obtained [4].
For this phenomenon, the theoretical formulae for the evaluation of the mechanical properties of the pile materials are extended as shown by Eqs. (2) and (3) [15,16].
Effect of mechanical properties on tactile of cotton terry cloth.
Tactility and mechanical properties of marketing towel.
Water absorption and mechanical properties of pile-knit fabrics based on conjugate N/P microfibers.
For this phenomenon, the theoretical formulae for the evaluation of the mechanical properties of the pile materials are extended as shown by Eqs. (2) and (3) [15,16].
Effect of mechanical properties on tactile of cotton terry cloth.
Tactility and mechanical properties of marketing towel.
Water absorption and mechanical properties of pile-knit fabrics based on conjugate N/P microfibers.
Online since: April 2019
Authors: Martin Sahul, Peter Šugár, Jana Šugárová, Martin Frnčík, Ingrid Görögová
The workpiece parameters include sheet thickness, initial blank diameter, and material properties.
In the present experimental research, full factorial design of experiments is employed to investigate the CNC multi-pass spinning process parameters affecting the surface roughness and the heights of produced cylindrical spun cups.
Its purpose was to determine the mechanical properties of the blank material: tensile strength Rm, yield strength Rp0.2, ductility A50, plane anisotropy of ductility AA, coefficient of normal anisotropy rs and degree of plane anisotropy Δr.
Mechanical properties and parameters of plane and normal anisotropy of the DC01 material Rm [MPa] Rp0.2 [MPa] A50 [%] AA [%] r rs Δr 0° 320.03 190.65 46.55 0 1.35 +1.26 +0.34 45° 331.90 204.88 43.02 -7.58 1.09 90° 310.12 164.50 43.14 -7.32 1.51 Production of cylindrical spun parts is allied with the blank material anisotropy and can be reflected as the unequal wall height of the spun part in various direction compared to the material rolling direction (0°).
Evolution of Ra surface roughness In order to quantify the effects of the analysed factors and its interactions on the responses H and Ra, the analysis of variance (ANOVA) using Minitab v.17 software was carried out.
In the present experimental research, full factorial design of experiments is employed to investigate the CNC multi-pass spinning process parameters affecting the surface roughness and the heights of produced cylindrical spun cups.
Its purpose was to determine the mechanical properties of the blank material: tensile strength Rm, yield strength Rp0.2, ductility A50, plane anisotropy of ductility AA, coefficient of normal anisotropy rs and degree of plane anisotropy Δr.
Mechanical properties and parameters of plane and normal anisotropy of the DC01 material Rm [MPa] Rp0.2 [MPa] A50 [%] AA [%] r rs Δr 0° 320.03 190.65 46.55 0 1.35 +1.26 +0.34 45° 331.90 204.88 43.02 -7.58 1.09 90° 310.12 164.50 43.14 -7.32 1.51 Production of cylindrical spun parts is allied with the blank material anisotropy and can be reflected as the unequal wall height of the spun part in various direction compared to the material rolling direction (0°).
Evolution of Ra surface roughness In order to quantify the effects of the analysed factors and its interactions on the responses H and Ra, the analysis of variance (ANOVA) using Minitab v.17 software was carried out.