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Original Article
Lele Zhang
Beijing Jiaotong University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-1417-2802
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Predicting the material strengths of particulate reinforced metal matrix composites (PRMMCs) and understanding how these properties are related to the constituents and microstructural features are essential for material designers and application engineers. To this end, a computational approach consists of the direct methods, homogenization, and statistical analyses is introduced in our previous studies 1,2. Since in various engineering applications failure of PRMMC materials are caused by time-varied combinations of tensile and shear stresses, to take into account of such situations the established approach is extended in the present work. In this paper, ultimate strengths and endurance limits of an exemplary PRMMC material, WC-Co, are predicted under three independently varied tensile and shear stresses. In order to cover the entire load space with least amount of weight factors, a new method for generating optimally distributed weight factors in an n dimensional space is formulated. Employing weight factors determined by this algorithm, direct method calculations were performed on many statistically equivalent representative volume elements (SERVE) samples, and through analyzing statistical characteristics associated with results the study suggests a simplified approach to estimate the material strength under superposed stresses without solving the difficult high dimensional shakedown problem.
Keywords
Direct Methods (DM), Particulate Reinforce Metal Matrix Composites (PRMMCs), Random Heterogeneous Materials
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View the published article at Chinese Journal of Mechanical Engineering.
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Posted 13 Nov, 2020
No community comments so far
Editorial decision: Minor revision
On 16 Mar, 2021
Review #2 received
Received 08 Dec, 2020
Reviewer #2 agreed
On 24 Nov, 2020
Reviewers invited
Invitations sent on 22 Nov, 2020
Reviewer #1 agreed
On 22 Nov, 2020
Review #1 received
Received 22 Nov, 2020
Editor assigned
On 01 Nov, 2020
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On 01 Nov, 2020
Editor invited
On 01 Nov, 2020
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On 31 Oct, 2020
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Subject Areas
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See the published version of this preprint at Chinese Journal of Mechanical Engineering.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Original Article
Lele Zhang
Beijing Jiaotong University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-1417-2802
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Chinese Journal of Mechanical Engineering.
Version 1
Posted 13 Nov, 2020
No community comments so far
Editorial decision: Minor revision
On 16 Mar, 2021
Review #2 received
Received 08 Dec, 2020
Reviewer #2 agreed
On 24 Nov, 2020
Reviewers invited
Invitations sent on 22 Nov, 2020
Reviewer #1 agreed
On 22 Nov, 2020
Review #1 received
Received 22 Nov, 2020
Editor assigned
On 01 Nov, 2020
Submission checks complete
On 01 Nov, 2020
Editor invited
On 01 Nov, 2020
First submitted
On 31 Oct, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Mechanical Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Chinese Journal of Mechanical Engineering.
Predicting the material strengths of particulate reinforced metal matrix composites (PRMMCs) and understanding how these properties are related to the constituents and microstructural features are essential for material designers and application engineers. To this end, a computational approach consists of the direct methods, homogenization, and statistical analyses is introduced in our previous studies 1,2. Since in various engineering applications failure of PRMMC materials are caused by time-varied combinations of tensile and shear stresses, to take into account of such situations the established approach is extended in the present work. In this paper, ultimate strengths and endurance limits of an exemplary PRMMC material, WC-Co, are predicted under three independently varied tensile and shear stresses. In order to cover the entire load space with least amount of weight factors, a new method for generating optimally distributed weight factors in an n dimensional space is formulated. Employing weight factors determined by this algorithm, direct method calculations were performed on many statistically equivalent representative volume elements (SERVE) samples, and through analyzing statistical characteristics associated with results the study suggests a simplified approach to estimate the material strength under superposed stresses without solving the difficult high dimensional shakedown problem.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
The full text of this article is available to read as a PDF.
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