Homogeneity, metallurgical, mechanical, wear, and corrosion behavior of Ni and B4C coatings deposited on 304 stainless steels developed by microwave cladding technique

Journal of Materials Research and Technology, Journal Year: 2023, Volume and Issue: 27, P. 5854 - 5867

Published: Nov. 1, 2023

The microwave cladding technique for depositing Ni and 10 % B4C coatings on 304 stainless steel has yielded significant advancements in material properties performance. key findings of this study revealed remarkable improvements, including a 43.33% increase hardness, indicating enhanced wear resistance mechanical properties. This improvement was attributed to the uniform distribution surface, ensuring consistent interfacial layer developed between SS surface without cracks porosity. Microstructural analysis at 500× magnification unveiled an impressive 2233.35 grains per square inch, showcasing refined grain structure achieved during process. Wear testing demonstrated low rate 0.00308 mm³/m favorable coefficient friction 0.1981, confirming material's suitability applications with demanding frictional conditions. Furthermore, corrosion behavior coated assessed, revealing minimal weight loss only 0.42 mg 10% sample. presence various carbide phases, such as Cr2C, Cr23C6, Cr7BC4, Fe5C2, Fe23B6, within further contributed

Language: Английский

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Unveiling of grain structure, porosity, phase distributions, microstructural morphology, surface hardness, and tribo-corrosion characteristics of nickel, and titanium dioxide-based SS-304 steel microwave composite coatings cladding

Journal of Materials Research and Technology, Journal Year: 2023, Volume and Issue: 28, P. 4299 - 4316

Published: Dec. 30, 2023

The microstructure, homogeneity, and tribo-corrosion behavior of microwave-developed Nickel as well titanium dioxide SS-304 cladding surfaces are the primary emphasis this research. study includes assessing hardness enhancement from Ni TiO2 particles in surface. investigation additionally evaluates surface wear rates, friction coefficients, resistance to corrosion under tribological conditions. with developed by microwave energy were investigated study. microstructure was being examined validate uniformly homogeneous dispersion particles, XRD employed determine phases. evaluated, a pin-on-disk tribometer has assessed behavior. Tribo-corrosion tested 3.5-percent NaCl solution. To enhance cladding's efficiency, hybrid heating (MHH) utilising charcoal susceptor been employed. Findings exhibited that analysis showed had uniform distribution compact microstructure. significantly improved about 37.68% due incorporation 10% particles. FeNi3, NiSi2, Ni3C, NiC, Ni2Si, FeNi, phases seen on conditions also evaluated using tribometer. outcomes have decreased rates coefficients compared uncoated substrate. Moreover, 3.5% rate coefficient measured be 0.00412 mm3/m 0.297, respectively. results indicated enhanced

Language: Английский

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Sustainable Materials with Improved Biodegradability and Toughness from Blends of Poly(Lactic Acid), Pineapple Stem Starch and Modified Natural Rubber

Polymers, Journal Year: 2024, Volume and Issue: 16(2), P. 232 - 232

Published: Jan. 14, 2024

Poly(lactic acid) (PLA), derived from renewable resources, plays a significant role in the global biodegradable plastic market. However, its widespread adoption faces challenges, including high brittleness, hydrophobicity, limited biodegradability, and higher costs compared to traditional petroleum-based plastics. This study addresses these challenges by incorporating thermoplastic pineapple stem starch (TPSS) modified natural rubber (MNR) into PLA blends. TPSS, waste, is employed enhance hydrophilicity, reduce costs. While addition of TPSS (10 40 wt.%) marginally lowered mechanical properties due poor interfacial interaction with PLA, inclusion MNR (1 10 PLA/20TPSS blend significantly improved stretchability impact strength, resulting suitable modulus (1.3 1.7 GPa) strength (32 52 MPa) for diverse applications. The presence 7 wt.% increased 90% neat PLA. ternary exhibited heterogeneous morphology enhanced adhesion, confirmed microfibrils rough texture on fracture surface. Additionally, downward shift PLA’s glass transition temperature (Tg) 5–6 °C indicated compatibility between components. Remarkably, blends demonstrated superior water resistance proper biodegradability binary These findings highlight potential bio-based plastics, such as MNR, contribute sustainable economic models environmental using packaging

Language: Английский

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Tribomechanical, and microstructural morphological analysis of nitride ferrous powder metallurgy composites for enhanced automotive valve guide performance

Journal of Materials Research and Technology, Journal Year: 2024, Volume and Issue: 31, P. 6 - 25

Published: June 2, 2024

The growing challenges of reducing exhaust emissions and improved fuel economy has triggered automotive engineers to design manufacture engine parts with superior mechanical properties dimensional accuracies. Valve guides are cylindrical structures supporting inlet valve stems during operation. Conventionally made grey cast iron material, guide suffers from severe wear losses leading loss increased due improper stem seating. Here, the synthesis a novel ferrous powder metallurgy composite is presented characteristics have been studied at varying loads 30 N, 40 N 50 sliding speeds 0.5 m/s, 1 m/s 2 under lubricated conditions. samples undergone nitriding heat treatment 1150 °C improve surface hardness 700 Hv. shown negative rates high capillary action lubricating oil exhibited stable friction coefficient values. This attributed formation hard phases Fe2N, Fe3N, Fe4N Fe(Mn)3C twinning-induced plastic compounds like (Fe24Mn) 0.08 as evident XRD analysis. morphological analysis worn out was done SEM Coupled EDS it showed micro-cutting, Ploughing, delamination main phenomenon.

Language: Английский

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Effect of chemically treated kenaf fiber on the mechanical, morphological, and microstructural characteristics of PLA-based sustainable bio-composites fabricated via direct injection molding route

Biomass Conversion and Biorefinery, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 19, 2023

Language: Английский

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Mechanical and thermal characterization of additively manufactured novel multilayer polymer composite through experiments and finite element simulation

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: April 3, 2024

This study presents the investigation of mechanical and thermal properties additively manufactured novel multilayer composites (MLC). Wood carbon-reinforced poly-lactic acid were used as base materials for 3D printing MLC. The tensile, compressive, flexural strengths developed MLC 51.47, 70.90, 73.3 MPa, respectively. finite element simulation values tensile compressive strength 51.01 70.02 MPa depicting negligible variations 0.90% 1.24%. glass transition temperatures WRP, CFRP, specimens 54.85 °C, 57.29 56.78

Language: Английский

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Development of three dimensional (3D) woven flax/PLA composites with high mechanical and thermal properties using braided yarns

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 222, P. 119580 - 119580

Published: Sept. 7, 2024

Language: Английский

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Optimization of the Thermoforming Process for Straw-based Biodegradable Materials through Biological Mechanical Processing and Simulation

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 111739 - 111739

Published: Jan. 1, 2025

Language: Английский

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Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques

Journal of Engineered Fibers and Fabrics, Journal Year: 2025, Volume and Issue: 20

Published: Jan. 1, 2025

The main goals of this research are to identify the significant input parameters using supervised machine learning methods and investigate relationship between process, structure, properties components created fused deposition modeling utilizing nylon aramid composite filaments. To develop an experimental layout Taguchi’s L 18 orthogonal array, six different FDM such as infill pattern, density, layer thickness, component orientation, print temperature, raster angle have been taken into consideration.Using Ultimaker printer, rectangular samples were created, values face hardness, thickness regions, printing time, weight assessed. ANOVA signal noise ratio method two techniques that used find influencing parameter ideal combination parameters. When comparing thickly layered with a suitable increase in time weight, thin-layered shown greater hardness at both tested areas. With 50.09% contribution 30.11% area, is found be over hardness.Layer important element contributes 81.95% 42.09% part respectively. In 80:20 train-test split, decision tree approach outperformed k-nearest neighbor algorithm for all four output responses, classification accuracy ranging from 83.33% 100%. Infill density recommended by extremely similarly highly region. presence surface pores, interior voids, abnormalities confirmed FESEM images.

Language: Английский

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Prediction of Cr6+ removal on the biosorbent from pine cone residue with machine learning simulations

Surfaces and Interfaces, Journal Year: 2025, Volume and Issue: unknown, P. 106460 - 106460

Published: April 1, 2025

Language: Английский

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