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Related Concept Videos

Titration Calculations: Strong Acid - Strong Base02:28

Titration Calculations: Strong Acid - Strong Base

34.2K
Calculating pH for Titration Solutions: Strong Acid/Strong Base
A titration is carried out for 25.00 mL of 0.100 M HCl (strong acid) with 0.100 M of a strong base NaOH. The pH at different volumes of added base solution can be calculated as follows:
(a) Titrant volume = 0 mL. The solution pH is due to the acid ionization of HCl. Because this is a strong acid, the ionization is complete and the hydronium ion molarity is 0.100 M. The pH of the solution is then:
34.2K
Strong Acid and Base Solutions03:22

Strong Acid and Base Solutions

36.3K
A strong acid is a compound that dissociates completely in an aqueous solution and produces a concentration of hydronium ions equal to the initial concentration of acid. For example, 0.20 M hydrobromic acid will dissociate completely in water and produces 0.20 M of hydronium ions and 0.20 M of bromide ions.
36.3K
Titration of a Strong Acid with a Strong Base01:23

Titration of a Strong Acid with a Strong Base

10.6K
During the titration of a strong acid with a strong base, pH calculations are primarily based on the concentration of residual hydronium or hydroxide ions. Initially, a strong acid like hydrochloric acid fully dissociates, creating hydronium and chloride ions, resulting in a low pH. The addition of a strong base like sodium hydroxide alters the concentration of hydronium ions by neutralizing them. As more base is added, the pH gradually increases. At the equivalence point, all hydronium ions...
10.6K
Buffer Effectiveness02:19

Buffer Effectiveness

55.6K
Buffer solutions do not have an unlimited capacity to keep the pH relatively constant . Instead, the ability of a buffer solution to resist changes in pH relies on the presence of appreciable amounts of its conjugate weak acid-base pair. When enough strong acid or base is added to substantially lower the concentration of either member of the buffer pair, the buffering action within the solution is compromised.
The buffer capacity is the amount of acid or base that can be added to a given volume...
55.6K
Titration Calculations: Weak Acid - Strong Base03:55

Titration Calculations: Weak Acid - Strong Base

49.4K
Calculating pH for Titration Solutions: Weak Acid/Strong Base
For the titration of 25.00 mL of 0.100 M CH3CO2H with 0.100 M NaOH, the reaction can be represented as:
49.4K
Titration of a Weak Base with a Strong Acid01:20

Titration of a Weak Base with a Strong Acid

9.1K
The titration curve of a weak base like ammonia with a strong acid like hydrochloric acid is the mirror image of the titration curve of a weak acid with a strong base.
Using the ICE table and substituting the Kb value, we calculate the initial pH of 50 mL of 0.1 M ammonia to be 11.11. Addition of 25 mL of 0.1 M hydrochloric acid to this solution of ammonia results in a buffer with an equal concentration of ammonia and ammonium ions. The pH of this buffer can be calculated by substituting these...
9.1K

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Atom Probe Tomography Studies on the CuIn,GaSe2 Grain Boundaries
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Atom Probe Tomography Studies on the CuIn,GaSe2 Grain Boundaries

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Strong grain neighbour effects in polycrystals.

Hamidreza Abdolvand1,2, Jonathan Wright3, Angus J Wilkinson4

  • 1Department of Mechanical and Materials Engineering, Western University, Spencer Engineering Building, London, ON, N6A 5B9, Canada. hamid.abdolvand@uwo.ca.

Nature Communications
|January 14, 2018
PubMed
Summary

This study investigated how individual grains in a polycrystal interact during deformation. Using advanced X-ray techniques, the researchers tracked stress changes in zirconium and titanium polycrystals under tension. They found that in some grains, stress along the loading direction decreased unexpectedly during plastic flow, even without deformation twinning. This behavior was linked to the crystallographic orientation of the grain and its immediate neighbors, especially those aligned along the loading axis. The results suggest that local grain interactions significantly affect how stress is distributed during deformation, which could impact material failure processes.

Keywords:
grain neighbour effectspolycrystal deformationsynchrotron X-ray diffractionmaterial failurestress evolution

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Area of Science:

  • Materials science
  • Mechanical engineering
  • Crystallography

Background:

Material deformation behavior is influenced by the arrangement and interaction of individual grains within a polycrystal. Previous studies have established that grain orientation and neighboring grains affect stress distribution. However, the extent to which these interactions influence macroscopic deformation remains unclear. This uncertainty drives the need for more precise methods to track grain-level stress evolution. Traditional techniques often lack the resolution to capture such details in three dimensions. The role of crystallographic orientation in stress redistribution has been less explored. Deformation twinning is a known mechanism in some materials, but its absence in certain cases raises questions about alternative pathways. Understanding these interactions could improve predictions of material failure. This gap motivates the use of advanced synchrotron techniques to study grain-level behavior.

Purpose Of The Study:

This research aimed to investigate grain-level stress evolution in polycrystalline materials during deformation. The specific problem addressed is the lack of detailed understanding of how neighboring grains influence local stress distributions. The motivation stems from the need to improve predictions of material failure under load. The study focused on zirconium and titanium polycrystals, which are known for their anisotropic properties. By tracking stress changes in individual grains, the researchers sought to uncover new deformation mechanisms. The absence of deformation twinning in some cases suggested alternative interaction pathways. The goal was to determine whether grain orientation and neighbors control stress redistribution. This work contributes to the broader field of material deformation and failure analysis.

Main Methods:

The researchers employed three-dimensional synchrotron X-ray diffraction to monitor grain-level stress changes. The method allowed for in situ deformation of zirconium and titanium polycrystals under tensile loading. The setup enabled tracking of stress evolution across multiple contiguous grains simultaneously. Data collection occurred during plastic deformation, just beyond the yield point. The synchrotron technique provided high spatial and temporal resolution. Crystallographic orientations of individual grains were determined using diffraction patterns. The study focused on grains along the loading axis and their immediate neighbors. The method enabled the identification of stress anomalies in the absence of twinning.

Main Results:

Stress along the loading axis decreased in a significant fraction of grains during plastic flow. This decrease occurred just beyond the macroscopic yield point and was unexpected. The phenomenon was observed in the absence of deformation twinning. The stress reduction was linked to the crystallographic orientation of the grain and its neighbors. Grains adjacent along the loading axis played a key role in this behavior. The results suggest that grain interactions influence stress redistribution during deformation. The observed stress decrease was not uniform across all grains. The findings highlight the importance of local crystallographic configurations in material response.

Conclusions:

The study demonstrates that grain-grain interactions significantly influence stress evolution during deformation. The observed stress decrease in some grains is attributed to their orientation and neighboring grains. This behavior occurs independently of deformation twinning mechanisms. The findings suggest that local crystallographic arrangements control stress redistribution. The results provide new insights into polycrystal deformation behavior. The study supports the idea that grain-level interactions govern macroscopic material response. These conclusions are based on the observed data and do not extend to broader implications. The work contributes to understanding the role of grain orientation in material failure processes.

A significant fraction of grains showed decreased stress along the loading axis during plastic flow, even without deformation twinning.

They used three-dimensional synchrotron X-ray diffraction during in situ tensile deformation of polycrystals.

Grains adjacent along the loading axis had a strong influence on stress redistribution, as shown by the observed stress decrease.

The orientation of the grain and its immediate neighbors controlled the observed stress decrease during plastic flow.

The stress decrease happened just beyond the macroscopic yield point during tensile plastic flow.

The study suggests that grain-level interactions and crystallographic configurations influence stress redistribution and failure processes.