Material failure mechanisms and damage models

Dasgupta, Abhijit; Pecht, Michael

doi:10.1109/24.106769

Cited by 176 publications

(65 citation statements)

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“…The structure presented in Fig. 1 is consistent with several, simple failure models presented by Dasgupta and Pecht (1991). One of the common failure models for mechanical components is the stress-strength model presented by Lewis and Chen (1994).…”

Section: Survivability Modelsupporting

confidence: 67%

A survivability model for ejection of green compacts in powder metallurgy technology

Ahi¹,

Jenab²,

Ghasempoor³

et al. 2012

IJIEC

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Reliability and quality assurance have become major considerations in the design and manufacture of today's parts and products. Survivability of green compact using powder metallurgy technology is considered as one of the major quality attributes in manufacturing systems today. During powder metallurgy (PM) production, the compaction conditions and behavior of the metal powder dictate the stress and density distribution in the green compact prior to sintering. These parameters greatly influence the mechanical properties and overall strength of the final component. In order to improve these properties, higher compaction pressures are usually employed, which make unloading and ejection of green compacts more challenging, especially for the powder-compacted parts with relatively complicated shapes. This study looked at a mathematical survivability model concerning green compact characteristics in PM technology and the stress-strength failure model in reliability engineering. This model depicts the relationship between mechanical loads (stress) during ejection, experimentally determined green strength and survivability of green compact. The resulting survivability is the probability that a green compact survives during and after ejection. This survivability model can be used as an efficient tool for selecting the appropriate parameters for the process planning stage in PM technology. A case study is presented here in order to demonstrate the application of the proposed survivability model.

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Section: Survivability Modelsupporting

confidence: 67%

A survivability model for ejection of green compacts in powder metallurgy technology

Ahi¹,

Jenab²,

Ghasempoor³

et al. 2012

IJIEC

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“…The crude product was purified by recrystallization through hot ethanol. 1 H and 13 C nuclear magnetic resonance (NMR) spectra were taken on Bruker 400 MHz NMR …”

Section: Synthesis Of 111-tris (Cinnamoyloxymethyl) Ethane (Tce)mentioning

confidence: 99%

“…Material degradation, caused by mechanical deformation, thermal expansion/contraction, radioactive contamination, chemical corrosion or electrical discharges, occurs inevitably in practical applications and significantly reduces material performance, especially in harsh environments [1][2][3][4] . For example, aerospace materials are exposed to large changes in pressure, temperature, speed and other elements.…”

Section: Introductionmentioning

confidence: 99%

Early damage detection in epoxy matrix using cyclobutane-based polymers

Zou

Liu

Shan

et al. 2014

Smart Mater. Struct.

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Identification of early damage in polymer composites is of great importance. We have incorporated cyclobutane-containing crosslinked polymers into an epoxy matrix, studied the effect on thermal and mechanical properties and more importantly, demonstrated early damage detection through mechanically induced fluorescence generation. Two cinnamate derivatives, 1,1,1-tris(cinnamoyloxymethyl) ethane (TCE) and poly(vinyl cinnamate) (PVCi), were photoirradiated to produce cyclobutane-containing polymer, respectively. The effects on the thermal properties and mechanical properties with the addition of cyclobutane-containing polymer into epoxy matrix were investigated. The emergence of cracks was detected by fluorescence at a strain level right beyond the yield point of the polymer blends and the fluorescence intensified with accumulation of strain. Overall, the results show that the damages can be detected through fluorescence generation along the crack propagation.

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“…Following this analysis, the overall outcome of reliability analysis is to build stochastic models (Dasgupta (1991)), using techniques such as failure interaction models (Murthy (1984), Murthy (1985), Blischke (2000)), to denote the future performance, breakdowns, and failures of the physical component.…”

Section: Section V22 Reliabilitymentioning

confidence: 99%