Investigation of Mechanical Properties and Optimization of Forming Parameters of Al7075-B4C-Fly Ash Hybrid Aluminium Matrix Composite

Sahu, Mohit Kumar; Sahu, Raj Kumar

doi:10.1007/s13369-021-06117-1

Cited by 3 publications

(1 citation statement)

References 69 publications

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“…Using the Taguchi method, the difference between experimental and desired values is calculated using a loss function. Further, the loss function is converted to the signal-to-noise ratio (S/N) [42,43]. Normally, S/N ratios are analyzed according to three kinds of quality characteristics: lower is better, higher is better, and nominal is better [41].…”

Section: Design Of Experiments (Doe)mentioning

confidence: 99%

Wear Characteristic of ZrO2/MGO as Lubricant in Different Rotating Speed

Saini¹,

Matharu²

2022

Tribol. Ind.

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Proper rolling bearing lubricants and lubrication procedures are critical for delivering adequate bearing performance in critical situations. Main roles of Zirconium di oxide (ZrO2) nanoparticles in engine oil as lubricant additive for rolling bearing are reduction of wear and friction, extension of fatigue life, removal of frictional heat, and protection from corrosion. The present work investigates the tribological properties of SAE20W40MGO and ZrO2 nano particles in SAE20W40 MGO oil for 0.4% concentration between steel/steel contact. In order to study wear under variable speed conditions, four-ball wear tests were carried out with chrome-plated steel balls (Grade E-52100), which were designed using 2 levels of factorial design of experiments (DOE). Nano-lubricant deterioration with and without ZrO2 were determined using empirical equations to project wear with reference to speed and ZrO2 concentration. Results presented that anti-wear properties of the SAE oil samples enhanced with ZrO2 irrespective of speed range.

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Section: Design Of Experiments (Doe)mentioning

confidence: 99%

Wear Characteristic of ZrO2/MGO as Lubricant in Different Rotating Speed

Saini¹,

Matharu²

2022

Tribol. Ind.

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Influence of Cr3C2 Addition on Microstructure and Mechanical Properties of AA2618 Composites by Powder Metallurgy

Borra,

Davuluri

2023

Metallogr. Microstruct. Anal.

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Optimization of forming force and Erichsen index using Taguchi design of experiments: Mathematical models and experimental validation

Ben Fraj,

Kamoun,

Hentati

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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Design of experiments is a statistical approach from which an optimized number of experiments is determined. Taguchi design of experiments, applied on Erichsen tests, is chosen to be considered in this paper. The most important parameters in this forming process, Erichsen index ( IE), and maximum generated force ( Fmax), are experimentally and theoretically determined. Three input factors are selected, at diverse levels, in order to study their influence on Erichsen output results. The considered input factors are sheet thickness, punch diameter, and friction coefficient. New mathematical models which take into account the effects of these factors and their interactions are developed. Moreover, the influence of Erichsen test on the S235 steel microstructural behavior is experimentally examined as function of the sheet thickness. A good agreement between experimental and theoretical findings proves that the proposed models provide a precise prediction and an exact estimation of the Erichsen output parameters ( IE and Fmax). The efficiency of the adopted design of experiments via Taguchi method is well confirmed.

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Investigation of Mechanical Properties and Optimization of Forming Parameters of Al7075-B4C-Fly Ash Hybrid Aluminium Matrix Composite

Cited by 3 publications

References 69 publications

Wear Characteristic of ZrO2/MGO as Lubricant in Different Rotating Speed

Wear Characteristic of ZrO2/MGO as Lubricant in Different Rotating Speed

Influence of Cr3C2 Addition on Microstructure and Mechanical Properties of AA2618 Composites by Powder Metallurgy

Optimization of forming force and Erichsen index using Taguchi design of experiments: Mathematical models and experimental validation

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