2016
DOI: 10.1016/j.matdes.2016.06.068
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Evolution of the microstructure of a 15-5PH martensitic stainless steel during precipitation hardening heat treatment

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Cited by 98 publications
(37 citation statements)
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“…15‐5PH is an ultra‐high‐strength martensite stainless steel with ideal strength and good corrosion resistance and is widely used in aerospace, marine engineering, and automotive industries . The outstanding mechanical properties are due to precipitation enhancement of fine and dense Cu‐rich precipitates and carbide precipitates distributed between martensite laths .…”
Section: Introductionmentioning
confidence: 99%
“…15‐5PH is an ultra‐high‐strength martensite stainless steel with ideal strength and good corrosion resistance and is widely used in aerospace, marine engineering, and automotive industries . The outstanding mechanical properties are due to precipitation enhancement of fine and dense Cu‐rich precipitates and carbide precipitates distributed between martensite laths .…”
Section: Introductionmentioning
confidence: 99%
“…The higher amount of martensite and tempered martensite were also in agreement with the higher strength and elongation observed with the parts printed with lower layer thicknesses. inhibited the carbide precipitation in as-printed condition and thus no noticeable carbide associated peak was found as has been previously reported for other systems [82]. where, is the Archimedes density of the material, is the exposed surface area to corrosion, is a constant (3.272 m/year) and EW is the equivalent weight of the material.…”
Section: Microstructuresupporting
confidence: 76%
“…In addition, the volume fractions of retained austenite ( V RA ) and the dislocation density were determined by X-ray diffraction (XRD) with Cu-K α ( λ = 1.5406 Å) radiation using an X-ray diffract-meter. The direct comparison method of the integrated intensity of the austenite peaks, (2 0 0) γ , (2 2 0) γ , and (3 1 1) γ , and the martensite peaks, (2 0 0) α and (2 1 1) α , were used for calculating retained austenite based on the method described in [ 14 , 15 , 16 ] with Equation (1): …”
Section: Methodsmentioning
confidence: 99%