Breakdown Trade-Off Relation of Mechanical Properties via Micro-alloying in Mg–Mn Alloys

2022 ◽  
Author(s):  
Hidetoshi Somekawa ◽  
Hitoshi Fukuoka ◽  
Alok Singh ◽  
Hideki Yamaura
Keyword(s):  
Mechanical Properties ◽  
Trade Off

scholarly journals Dynamic Mussel-Inspired Chitin Nanocomposite Hydrogels for Wearable Strain Sensors

Polymers ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1416 ◽  
Author(s):  
Pejman Heidarian ◽  
Abbas Z. Kouzani ◽  
Akif Kaynak ◽  
Ali Zolfagharian ◽  
Hossein Yousefi
Keyword(s):  
Mechanical Properties ◽  
Polyacrylic Acid ◽  
Strain Sensors ◽  
Self Healing ◽  
Network Stability ◽  
Ferric Ions ◽  
Trade Off ◽  
Nanocomposite Hydrogels ◽  
Healing Efficiency ◽  
Hydrogel Network

It is an ongoing challenge to fabricate an electroconductive and tough hydrogel with autonomous self-healing and self-recovery (SELF) for wearable strain sensors. Current electroconductive hydrogels often show a trade-off between static crosslinks for mechanical strength and dynamic crosslinks for SELF properties. In this work, a facile procedure was developed to synthesize a dynamic electroconductive hydrogel with excellent SELF and mechanical properties from starch/polyacrylic acid (St/PAA) by simply loading ferric ions (Fe3+) and tannic acid-coated chitin nanofibers (TA-ChNFs) into the hydrogel network. Based on our findings, the highest toughness was observed for the 1 wt.% TA-ChNF-reinforced hydrogel (1.43 MJ/m3), which is 10.5-fold higher than the unreinforced counterpart. Moreover, the 1 wt.% TA-ChNF-reinforced hydrogel showed the highest resistance against crack propagation and a 96.5% healing efficiency after 40 min. Therefore, it was chosen as the optimized hydrogel to pursue the remaining experiments. Due to its unique SELF performance, network stability, superior mechanical, and self-adhesiveness properties, this hydrogel demonstrates potential for applications in self-wearable strain sensors.

Influence of Additives on Mechanical Properties in Liquid-Phase Sintered Silicon Carbide Ceramics

2008 ◽  
Vol 403 ◽  
pp. 185-188 ◽  
Author(s):  
Young Wook Kim ◽  
Toshiyuki Nishimura ◽  
Mamoru Mitomo
Keyword(s):  
Mechanical Properties ◽  
Liquid Phase ◽  
Room Temperature ◽  
Trade Off ◽  
Molar Ratios ◽  
Sic Ceramics ◽  
Cationic Radius ◽  
Carbide Ceramics ◽  
Silicon Carbide Ceramics ◽  
Sintered Silicon

The effect of sintering additives comprising AlN and RE2O3 (RE=Lu, Yb, Er and Y) in 2:3 and 3:2 molar ratios on mechanical properties of liquid-phase-sintered (LPS) and subsequently annealed SiC ceramics was investigated. The toughness vs cationic radius curve had a maximum in both 2:3 and 3:2 molar ratios; Yb-doped specimens showed maximal toughness of 5.8 and 6.6 MPa..m1/2 in 2:3 and 3:2 molar ratios, respectively. There was no correlation between room temperature (RT) strength and cationic radius. In contrast, the high temperature (HT) strength vs cationic radius curve had a minimum in both 2:3 and 3:2 molar ratios; Yb-doped specimens showed minimal strength of 520 MPa and 550 MPa in 2:3 and 3:2 molar ratios, respectively. The present results suggest that there is a trade-off in improving both RT toughness and HT strength in LPS-SiC ceramics.

scholarly journals Further Research on Hardenability of Ti-1023 β Alloy Leading to a New DOE

2020 ◽  
Vol 321 ◽  
pp. 12032
Author(s):  
Bohumil Prazak
Keyword(s):  
Mechanical Properties ◽  
Grain Size ◽  
Martensitic Transformation ◽  
Volume Fraction ◽  
Nucleation Mechanism ◽  
Alpha Particles ◽  
Primary Alpha ◽  
Trade Off ◽  
Nucleation Mechanisms

As part of a treatise on the hardenability of Ti-1023, a summary about the nucleation mechanisms of primary and secondary alpha, the viability of two-step aging, and existence of precipitation-free zones is provided. Assumptions are given on the nucleation mechanism of primary alpha particles and the effect of higher beta stabiliser content on stress-induced martensitic transformation. It is reminded that further research into two-step aging would be beneficial. A proposed design of the experiment deals with the existence of martensite in stressed samples, so that the martensitic transformation is minimized by an increased content of beta stabilisers, volume fraction of primary alpha, and beta grain size. Finally, a microstructure with stress-induced omega particles as precursors of secondary alpha particles may result in a better trade-off of mechanical properties; it is suggested that this be explored.

Evaluation of the subtle trade-off between physical stability and thermo-responsiveness in crosslinked methylcellulose hydrogels

Soft Matter ◽  
2020 ◽  
Vol 16 (24) ◽  
pp. 5577-5587 ◽  
Author(s):  
Lorenzo Bonetti ◽  
Luigi De Nardo ◽  
Fabio Variola ◽  
Silvia Fare'
Keyword(s):  
Mechanical Properties ◽  
Physical Stability ◽  
Fine Tuning ◽  
Chemical Crosslinking ◽  
Trade Off ◽  
Responsive Behavior

Fine-tuning of the chemical crosslinking in MC-based hydrogels increases their physical stability and mechanical properties while preserving their thermo-responsive behavior.

A trade-off between powder layer thickness and mechanical properties in additively manufactured maraging steels

2020 ◽  
Vol 776 ◽  
pp. 139041 ◽  
Author(s):  
SeyedAmirReza Shamsdini ◽  
Sajad Shakerin ◽  
Amir Hadadzadeh ◽  
Babak Shalchi Amirkhiz ◽  
Mohsen Mohammadi
Keyword(s):  
Mechanical Properties ◽  
Layer Thickness ◽  
Powder Layer ◽  
Trade Off ◽  
Maraging Steels

Trade-off among mechanical properties and energy consumption in multi-pass friction stir processing of Al7075 alloy employing neural network–based genetic optimization

2016 ◽  
Vol 231 (1) ◽  
pp. 129-139 ◽  
Author(s):  
G Hussain ◽  
M Ranjbar ◽  
S Hassanzadeh
Keyword(s):  
Neural Network ◽  
Mechanical Properties ◽  
Tensile Strength ◽  
Friction Stir Processing ◽  
Electrical Energy ◽  
Processing Technique ◽  
Genetic Optimization ◽  
Trade Off ◽  
Friction Stir ◽  
Artificial Neural

Friction stir processing is a novel material processing technique. In this study, neural network–based genetic optimization is applied to optimize the process performance in terms of post-friction stir processing mechanical properties of Al7075 alloy and the energy cost. At first, the experimental data regarding the properties (i.e. elongation, tensile strength and hardness) and the consumed electrical energy are obtained by conducting tests varying two process parameters, namely, feed rate and spindle speed. Then, a numerical model making use of empirical data and artificial neural networks is developed, and multiobjective multivariable genetic optimization is applied to find a trade-off among the performance measures of friction stir processing. For this purpose, the properties like elongation, tensile strength and hardness are maximized and the cost of consumed electrical energy is minimized. Finally, the optimization results are verified by conducting experiments. It is concluded that artificial neural network together with genetic algorithm can be successfully employed to optimize the performance of friction stir processing.

scholarly journals Design of a new generation of sustainable SBR compounds with good trade-off between mechanical properties and self-healing ability

2018 ◽  
Vol 106 ◽  
pp. 273-283 ◽  
Author(s):  
Marianella Hernández Santana ◽  
María Huete ◽  
Patricia Lameda ◽  
Javier Araujo ◽  
Raquel Verdejo ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Self Healing ◽  
Trade Off ◽  
Good Trade ◽  
New Generation

scholarly journals Variability of the mechanical properties of bone, and its evolutionary consequences

2006 ◽  
Vol 4 (12) ◽  
pp. 127-135 ◽  
Author(s):  
John D Currey ◽  
Jonathan W Pitchford ◽  
Paul D Baxter
Keyword(s):  
Mechanical Properties ◽  
Mathematical Model ◽  
Mineral Content ◽  
Optimal Allocation ◽  
Compact Bone ◽  
Simple Mathematical Model ◽  
Trade Off ◽  
Evolutionary Consequences ◽  
Insight Into ◽  
Mechanical Phenomena

The relative variabilities (coefficient of variation (CV)) of 10 different mechanical properties of compact bone were determined from 2166 measurements. All measures of variability were made on a minimum of four specimens from any bone. Three pre-yield properties had a CV of about 12%. Six post-yield properties had CVs varying from 24 to 46%. Pre-yield properties increase as a function of mineral content, whereas post-yield properties decrease. These differences give insight into mechanical phenomena occurring at different stages during loading. Furthermore, the fact that some properties are more tightly determined than others has implications for the optimum values set by natural selection. This assertion is made more rigorous using a simple mathematical model for the evolutionarily optimal allocation in a trade-off where one property is imprecisely determined. It is argued that in general the optimum will be biased in favour of the more tightly determined properties than would be the case if all properties had the same CV.

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