2009
DOI: 10.1016/j.jallcom.2008.07.087
|View full text |Cite
|
Sign up to set email alerts
|

A new criterion for predicting the glass-forming ability of bulk metallic glasses

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
60
0

Year Published

2009
2009
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 124 publications
(63 citation statements)
references
References 48 publications
3
60
0
Order By: Relevance
“…[1][2][3][4][5][6][7][8][9][10] For example, Zr-, Pd-, Ln-, and Mg-based BMGs have R C values below~100°C/s and, hence, are considered as having high GFA. [1][2][3][4][5][6][7][8] Over the past 40 years, numerous parameters have been proposed for predicting the ease of glass formation and glass stability in these materials, with examples including the following: the reduced glass-transition temperature or Turnbull's principle T rg = T g /T l ; [11,12] the supercooled liquid interval DT X = T X À T g ; [6] c = T X /(T g + T l ); [13] c m = (2T X À T g )/T l ; [14] DT rg = (T X À T g )/(T l À T g ); [15] d = T X /(T l À T g ); [16] u = T rg (DT X /T g ) 0.143 ; [17] a = T X /T l ; [18] b = T X /T g + T g /T l ; [18] b I = T X 9 T g /(T l À T X ) 2 ; [19] and more recently x = T g /T X À 2T g /(T g + T l ), [20] where T X and T l are the onset crystallization temperature and liquidus temperature, respectively. In general, there is no single parameter that accurately correlates GFA to a specific parameter in all alloy systems, with trends often corresponding well in some systems but not as well in others.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…[1][2][3][4][5][6][7][8][9][10] For example, Zr-, Pd-, Ln-, and Mg-based BMGs have R C values below~100°C/s and, hence, are considered as having high GFA. [1][2][3][4][5][6][7][8] Over the past 40 years, numerous parameters have been proposed for predicting the ease of glass formation and glass stability in these materials, with examples including the following: the reduced glass-transition temperature or Turnbull's principle T rg = T g /T l ; [11,12] the supercooled liquid interval DT X = T X À T g ; [6] c = T X /(T g + T l ); [13] c m = (2T X À T g )/T l ; [14] DT rg = (T X À T g )/(T l À T g ); [15] d = T X /(T l À T g ); [16] u = T rg (DT X /T g ) 0.143 ; [17] a = T X /T l ; [18] b = T X /T g + T g /T l ; [18] b I = T X 9 T g /(T l À T X ) 2 ; [19] and more recently x = T g /T X À 2T g /(T g + T l ), [20] where T X and T l are the onset crystallization temperature and liquidus temperature, respectively. In general, there is no single parameter that accurately correlates GFA to a specific parameter in all alloy systems, with trends often corresponding well in some systems but not as well in others.…”
Section: Introductionmentioning
confidence: 99%
“…[20,21] With reference to the aforementioned glassforming parameters, it can be seen that they explicitly relate T g , T X , and T l (determined by heating rather than cooling) with the GFA, R C , and critical casting thickness Z C . [6,[11][12][13][14][15][16][17][18][19][20] Further, the former are known to vary marginally with the heating rate, depending on the fragility of the individual glass, whereby a faster heating rate yields higher values of T g and T X [22,23] and increases the size of DT X . [22] Hence, from a physical metallurgy perspective, the only quantitative measure of GFA is the critical cooling rate, despite the difficulties in determining this parameter.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, for bulk samples it has been shown that the  parameter exhibits the strongest interrelationship with the critical radius of the bulk sample when compared to other criteria reported so far [20]. All these parameters are summarized in Table 1.…”
Section: Resultsmentioning
confidence: 75%
“…New BMG alloy development has relied heavily on experimental exploration, and the attempts to correlate glass-forming tendency with fundamental thermodynamic properties have not led to a predictive ability in any general sense. [4][5][6][7] As a complement to the experiment, computational methods may offer powerful avenues for studying glass formation and other properties of glass-forming alloys. [8] Indeed, both classical and ab initio molecular dynamics (MD) methods have provided substantial fundamental gains related to the structural aspects of the glass transition along with insights into the influence of alloy chemistry on the glass-forming tendency in several alloy systems (e.g., Al-Mg, [9] Cu-Zr, [1,10] Ni-Zr, [11,12] Ag-Ni-Zr, [13] and Ca-Mg-Zn [14] ).…”
Section: Tao Wang and Ralph E Napolitanomentioning
confidence: 99%