Combination of laser-induced breakdown spectroscopy, and time–of–flight mass spectrometry for the quantification of CoCrFeNiMo high entropy alloys

In this paper, we present the preparation and quantification of the CoCrFeNiMo high entropy alloys that are commonly used in self-propelled stainless steel fabrication, shipbuilding, and other defense industries. Four samples of high entropy alloys, Mo (68.03–77.29%)-Cr (5.24–7.37%)-Fe (5.63–7.92%)-...

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Veröffentlicht in:Spectrochimica acta. Part B: Atomic spectroscopy 2022-12, Vol.198, p.106562, Article 106562
Hauptverfasser: Fayyaz, Amir, Liaqat, Usman, Yaqoob, Khurram, Ahmed, Rizwan, Umar, Zeshan A., Baig, M. Aslam
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Sprache:eng
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Zusammenfassung:In this paper, we present the preparation and quantification of the CoCrFeNiMo high entropy alloys that are commonly used in self-propelled stainless steel fabrication, shipbuilding, and other defense industries. Four samples of high entropy alloys, Mo (68.03–77.29%)-Cr (5.24–7.37%)-Fe (5.63–7.92%)-Ni (5.91–8.32%)-Co (5.93–8.36%) were prepared using a standard technique. The as-prepared samples have been quantified by combining Laser-Induced Breakdown Spectroscopy (LIBS) and Laser Ablation Time–of–Flight Mass Spectrometer (LA–TOF–MS) techniques. The LIBS experiments were performed using the second harmonic of a Nd: YAG laser at 532 nm, 100 mJ laser pulse energy, and 5 ns pulse duration, and the emission spectra were registered in the wavelength range from 250 to 870 nm using a set of four miniature spectrometers. It is endorsed that the calibration-free LIBS (CF–LIBS) and the Calibration Curve–Laser-Induced Breakdown Spectroscopy (CC–LIBS) techniques yield the elemental compositions at par with that determined by the LA–TOF–MS, and EDX techniques. Laser Ablation Time of Flight mass spectrum of the Mo based High Entropy Alloys. [Display omitted] •Preparation and quantification of Mo-based high entropy alloys.•Quantitative analysis of Mo-based high entropy Alloys by combining CF-LIBS and LA-TOF-MS.•Supplemented by the quantitative Analysis using EDX.
ISSN:0584-8547
1873-3565
DOI:10.1016/j.sab.2022.106562