Preparation and characterization of lanthanum hexa aluminate powders for high temperature applications

Ram, Y.N.V. Sai; Tarasasanka, C.; Prabakaran, J.

doi:10.1016/j.matpr.2020.05.368

Cited by 5 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The XRD pattern of prepared LHA particles is shown in Figure 3. In XRD analysis, the peaks corresponding to Lanthanum Aluminate (AlLaO3), Lanthanum Hexa-aluminate (Al11.95La0.9O18.9) matched with JCPDS cards 31-0022 and 33-0699 and it was observed that hexagonal structure with magneto plumbite phase is formed which is confirmed with the literature [24]. The peak broadening of XRD pattern evidently shows the occurrence of small sized crystals in the samples.…”

Section: Xrd Analysissupporting

confidence: 81%

See 1 more Smart Citation

Estimation of Lattice Strain in Lanthanum Hexa Aluminate Nanoparticles Using X-Ray Peak Profile Analysis

Yellapragada¹,

C²,

Jayaraman³

et al. 2021

RCMA

View full text Add to dashboard Cite

This work confers to the preparation of Lanthanum Hexa Aluminate (LHA) nanoparticles by chemical precipitation and filtration technique followed by characterization studies conducted through X-ray peak profile analysis (XPPA) and Field Emission Scanning Electron Microscopy (FESEM) supported by Energy Dispersive Spectroscopy (EDS). From the X-ray diffraction (XRD) analysis, it has been observed that the prepared powder has hexagonal crystal structure. Further, Scherrer Method (S-M), modified Williamson–Hall (W-H), and Size–Strain Plot (SSP) methods have been implemented to all LHA reflection peaks for the comprehensive crystalline analysis. The influence of crystallite size, stress, strain, and energy density values on the peak broadening of LHA nanoparticles has been critically examined and discussed in the current work. In addition to regular mathematical models this paper also provides an insight into the calculation of Youngs modulus without tedious experimental procedure. The predicted crystallite size estimated from Scherrer’s formula, and W-H models are correlated to scanning electron microscopy results and observed that the average grain size of LHA nano particles estimated from SEM analysis, and models have less deviation in the present study.

show abstract

Section: Xrd Analysissupporting

confidence: 81%

“…LHA nano particles are prepared according to the stoichiometric reactions mentioned by Sai et al [24] in the previous work. 7.926 gms of Alumina powder was considered in a beaker along with distilled water.…”

Section: Methodsmentioning

confidence: 99%

Estimation of Lattice Strain in Lanthanum Hexa Aluminate Nanoparticles Using X-Ray Peak Profile Analysis

Yellapragada¹,

C²,

Jayaraman³

et al. 2021

RCMA

View full text Add to dashboard Cite

show abstract

“…Fig. 1 depicts the prepared LHA powder using Chemical precipitation process [27]. LHA powder samples was examined using (Model: TESCAN-MIRA 3 LMH) Field Emission Scanning Electron Microscope (FESEM) at an accelerating voltage of 50 V to 30 KV in steps of 10 V coupled with (Model: QUANTAX 200 with XFlash BRUKER) Energy Dispersive X-ray spectrometer (EDX/EDS).…”

Section: Methodsmentioning

confidence: 99%

Optimization of Dry-Sliding Wear Parameters on Lanthanum Hexa Aluminate Reinforced Magnesium AZ91E Composites Using Grey Relation Analysis

Ynv

Sasanka²,

Prabakaran

2022

NHC

Self Cite

View full text Add to dashboard Cite

This work confers to the preparation of Magnesium metal matrix composites reinforced with Lanthanum Hexa-aluminate nanoparticles by a stir casting technique and the tribological characteristics of the composites in dry condition were investigated. A Comparison is also made with AZ91E magnesium alloy and the prepared composites for the assessment of wear behavior. A design of experiments based on the Taguchi technique is used to collect data in a controlled manner. A L25 orthogonal array is used to investigate the effect of wear parameters such as Percentage of Reinforcement, Sliding Speed, Applied Load, and Sliding Distance on dry sliding wear of composites. The aim of the model was to investigate dry sliding wear with "smaller is better" characteristics. The results showed that sliding distance has the largest effect on wear, while the load is the most important factor in friction response. In GRA analysis, the combined effect of wear and frictional force is considered and the optimum combination is identified (S5 L1 D1 R4). The percent of the contribution of load, L (60.97 %) was known to be the most important factor influencing performance to wear. The % reinforcement, R (31.17%) was found to be the 2nd most influencing factor, followed by sliding distance, D (4.81%), and sliding velocity S (0.25%). The worn surfaces of fabricated composites in the best and worst conditions were examined using scanning electron microscopy for understanding the wear mechanism.

show abstract

“…In the past few years, a lot of research has been done on how to make nano powders using the High-velocity oxygen fuel spraying, Physical vapor deposition, Plasma spraying, Atmospheric plasma spraying and Chemical precipitation and Filtration [10,11]. Among these methods, chemical precipitation and filtration appear to be the traditional and simple method used for large-scale applications to increase material efficiency and it is economical to use [12,13].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters for Preparation of Lanthanum Hexa-Aluminate Powders Using Combinatorial Approach of Taguchi-GRA and ACO Methods

Srividya¹,

Reddy²,

Prasad³

et al. 2023

ACSM

View full text Add to dashboard Cite

This work focuses on selection of optimal process parameters for the preparation of Lanthanum Hexa-aluminate (LHA) nanoparticles using chemical precipitation and filtration process. Multi response optimization is performed using Taguchi-GRA combinatorial approach using the process parameters such as Temperature (A), Time (B) and Composition (C). The results showed that % composition has the largest effect on hardness, while the Calcination Temperature is the most important factor in ultimate compression strength. In GRA analysis, the combined effect of hardness and ultimate compression strength is considered and the optimum combination is identified (A1B2C2). The percentage of the contribution was most important factor affecting hardness performance (36.58%). Based on the GRA results a regression equation is generated and optimized using ACO technique followed by preparation and characterization of powders. For the powders, prepared FESEM/EDS analysis were done and observed that average grain size of the particle is 85nm.

show abstract

Preparation and characterization of lanthanum hexa aluminate powders for high temperature applications

Cited by 5 publications

References 8 publications

Estimation of Lattice Strain in Lanthanum Hexa Aluminate Nanoparticles Using X-Ray Peak Profile Analysis

Estimation of Lattice Strain in Lanthanum Hexa Aluminate Nanoparticles Using X-Ray Peak Profile Analysis

Optimization of Dry-Sliding Wear Parameters on Lanthanum Hexa Aluminate Reinforced Magnesium AZ91E Composites Using Grey Relation Analysis

Optimization of Process Parameters for Preparation of Lanthanum Hexa-Aluminate Powders Using Combinatorial Approach of Taguchi-GRA and ACO Methods

Contact Info

Product

Resources

About