Size and shape distributions of carbon black aggregates by transmission electron microscopy
Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electro...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Grulke, Eric A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Dynamic patterns of open review process - Zhao, Zhi-Dan ELSEVIER, 2021, an international journal sponsored by the American Carbon Society, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:130 ; year:2018 ; pages:822-833 ; extent:12 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.carbon.2018.01.030 |
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ELV041896149 |
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| 520 | |a Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. | ||
| 520 | |a Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. | ||
| 700 | 1 | |a Rice, Stephen B. |4 oth | |
| 700 | 1 | |a Xiong, JinCheng |4 oth | |
| 700 | 1 | |a Yamamoto, Kazuhiro |4 oth | |
| 700 | 1 | |a Yoon, Tae Hyun |4 oth | |
| 700 | 1 | |a Thomson, Kevin |4 oth | |
| 700 | 1 | |a Saffaripour, Meghdad |4 oth | |
| 700 | 1 | |a Smallwood, Greg J. |4 oth | |
| 700 | 1 | |a Lambert, Joshua W. |4 oth | |
| 700 | 1 | |a Stromberg, Arnold J. |4 oth | |
| 700 | 1 | |a Macy, Ryan |4 oth | |
| 700 | 1 | |a Briot, Nicolas J. |4 oth | |
| 700 | 1 | |a Qian, Dali |4 oth | |
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10.1016/j.carbon.2018.01.030 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000978.pica (DE-627)ELV041896149 (ELSEVIER)S0008-6223(18)30030-7 DE-627 ger DE-627 rakwb eng 500 VZ 33.25 bkl 31.00 bkl Grulke, Eric A. verfasserin aut Size and shape distributions of carbon black aggregates by transmission electron microscopy 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Rice, Stephen B. oth Xiong, JinCheng oth Yamamoto, Kazuhiro oth Yoon, Tae Hyun oth Thomson, Kevin oth Saffaripour, Meghdad oth Smallwood, Greg J. oth Lambert, Joshua W. oth Stromberg, Arnold J. oth Macy, Ryan oth Briot, Nicolas J. oth Qian, Dali oth Enthalten in Elsevier Science Zhao, Zhi-Dan ELSEVIER Dynamic patterns of open review process 2021 an international journal sponsored by the American Carbon Society Amsterdam [u.a.] (DE-627)ELV006580718 volume:130 year:2018 pages:822-833 extent:12 https://doi.org/10.1016/j.carbon.2018.01.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 130 2018 822-833 12 |
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10.1016/j.carbon.2018.01.030 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000978.pica (DE-627)ELV041896149 (ELSEVIER)S0008-6223(18)30030-7 DE-627 ger DE-627 rakwb eng 500 VZ 33.25 bkl 31.00 bkl Grulke, Eric A. verfasserin aut Size and shape distributions of carbon black aggregates by transmission electron microscopy 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Rice, Stephen B. oth Xiong, JinCheng oth Yamamoto, Kazuhiro oth Yoon, Tae Hyun oth Thomson, Kevin oth Saffaripour, Meghdad oth Smallwood, Greg J. oth Lambert, Joshua W. oth Stromberg, Arnold J. oth Macy, Ryan oth Briot, Nicolas J. oth Qian, Dali oth Enthalten in Elsevier Science Zhao, Zhi-Dan ELSEVIER Dynamic patterns of open review process 2021 an international journal sponsored by the American Carbon Society Amsterdam [u.a.] (DE-627)ELV006580718 volume:130 year:2018 pages:822-833 extent:12 https://doi.org/10.1016/j.carbon.2018.01.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 130 2018 822-833 12 |
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10.1016/j.carbon.2018.01.030 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000978.pica (DE-627)ELV041896149 (ELSEVIER)S0008-6223(18)30030-7 DE-627 ger DE-627 rakwb eng 500 VZ 33.25 bkl 31.00 bkl Grulke, Eric A. verfasserin aut Size and shape distributions of carbon black aggregates by transmission electron microscopy 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Rice, Stephen B. oth Xiong, JinCheng oth Yamamoto, Kazuhiro oth Yoon, Tae Hyun oth Thomson, Kevin oth Saffaripour, Meghdad oth Smallwood, Greg J. oth Lambert, Joshua W. oth Stromberg, Arnold J. oth Macy, Ryan oth Briot, Nicolas J. oth Qian, Dali oth Enthalten in Elsevier Science Zhao, Zhi-Dan ELSEVIER Dynamic patterns of open review process 2021 an international journal sponsored by the American Carbon Society Amsterdam [u.a.] (DE-627)ELV006580718 volume:130 year:2018 pages:822-833 extent:12 https://doi.org/10.1016/j.carbon.2018.01.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 130 2018 822-833 12 |
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10.1016/j.carbon.2018.01.030 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000978.pica (DE-627)ELV041896149 (ELSEVIER)S0008-6223(18)30030-7 DE-627 ger DE-627 rakwb eng 500 VZ 33.25 bkl 31.00 bkl Grulke, Eric A. verfasserin aut Size and shape distributions of carbon black aggregates by transmission electron microscopy 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Rice, Stephen B. oth Xiong, JinCheng oth Yamamoto, Kazuhiro oth Yoon, Tae Hyun oth Thomson, Kevin oth Saffaripour, Meghdad oth Smallwood, Greg J. oth Lambert, Joshua W. oth Stromberg, Arnold J. oth Macy, Ryan oth Briot, Nicolas J. oth Qian, Dali oth Enthalten in Elsevier Science Zhao, Zhi-Dan ELSEVIER Dynamic patterns of open review process 2021 an international journal sponsored by the American Carbon Society Amsterdam [u.a.] (DE-627)ELV006580718 volume:130 year:2018 pages:822-833 extent:12 https://doi.org/10.1016/j.carbon.2018.01.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 130 2018 822-833 12 |
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10.1016/j.carbon.2018.01.030 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000978.pica (DE-627)ELV041896149 (ELSEVIER)S0008-6223(18)30030-7 DE-627 ger DE-627 rakwb eng 500 VZ 33.25 bkl 31.00 bkl Grulke, Eric A. verfasserin aut Size and shape distributions of carbon black aggregates by transmission electron microscopy 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. Rice, Stephen B. oth Xiong, JinCheng oth Yamamoto, Kazuhiro oth Yoon, Tae Hyun oth Thomson, Kevin oth Saffaripour, Meghdad oth Smallwood, Greg J. oth Lambert, Joshua W. oth Stromberg, Arnold J. oth Macy, Ryan oth Briot, Nicolas J. oth Qian, Dali oth Enthalten in Elsevier Science Zhao, Zhi-Dan ELSEVIER Dynamic patterns of open review process 2021 an international journal sponsored by the American Carbon Society Amsterdam [u.a.] (DE-627)ELV006580718 volume:130 year:2018 pages:822-833 extent:12 https://doi.org/10.1016/j.carbon.2018.01.030 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 33.25 Thermodynamik statistische Physik VZ 31.00 Mathematik: Allgemeines VZ AR 130 2018 822-833 12 |
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size and shape distributions of carbon black aggregates by transmission electron microscopy |
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Size and shape distributions of carbon black aggregates by transmission electron microscopy |
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Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. |
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Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. |
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Carbon black aggregate size and shape affects its performance in many applications. In this interlaboratory comparison, an industry reference carbon black, SRB8, was analysed with a protocol based on ASTM D3849-14a, a method for morphological characterization of carbon black aggregates using electron microscopy. Multiple descriptor types (size, elongation, ruggedness, plus those of ASTM D3849-14a) were assessed for repeatability, reproducibility, and measurement uncertainties. Carbon black aggregates have been characterized using descriptor correlations: two important such correlations are affinity coefficients and fractal exponents. SRB8 aggregates appear to be self-affine, i.e., their width and length descriptors scale anisotropically. ASTM D3849-14a derived descriptors have low interlaboratory reproducibilities and high measurement uncertainties. When these descriptors are used for projected area-based fractal analysis, the estimated fractal exponents do not have realistic values. However, the use of an average nodule diameter generated self-consistent values of fractal exponents with measurement uncertainties of about 9%. Carbon black aggregates can be categorized using shape descriptors into the categories: spheroidal, ellipsoidal, branched, and linear. These shape categories contribute non-uniformly to descriptor values across their data ranges and lead to multimodal distributions. These findings illustrate the importance of assessing data quality and measurement uncertainty for particle size and shape distributions. |
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Size and shape distributions of carbon black aggregates by transmission electron microscopy |
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