High stress abrasive wear characteristics of Al 7075 alloy and 7075/Al2O3 composite

Sardar, Santanu; Karmakar, Santanu Kumar; Das, Debdulal

doi:10.1016/j.measurement.2018.05.090

Cited by 59 publications

(19 citation statements)

References 63 publications

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“…12,17 With rising load, W rt and RAS increased except COF which was detected to decrease with load as well as reinforcement quantity. 15,38,53 Both abrasive size and particle quantity enhanced RAS though effect of the latter was observed to be much severe on abraded surfaces; it was evidenced by the experimental results presented in Figures 5 and 8. Effect of distance was insignificant on the outputs of W rt and COF; however, roughness was marginally affected by distance.…”

Section: Modelling and Optimizationmentioning

confidence: 69%

“…33 Phases in the respective microstructures were indicated by a diffractometer through the generation of X-ray diffraction (XRD) profiles. 38 In inter-dendritic regions of microstructures of both BA and composites, elongated lean phase(s) were noticed (the inset in Figure 2(a), and (e)). Unlike alloy, composites exhibited irregular-shaped particles spreading near uniformly in their respective microstructures (Figure 2(b) to (d)); EDS elemental analyses further confirmed those particles as alumina (Figure 2(g)).…”

Section: Materials Manufacturing and Microstructuresmentioning

confidence: 94%

“…Intermetallic compounds/phases originated during melting were detected to be MgZn 2 and Al 2 CuMg primarily with meager quantities of Al 8 Fe 2 Si and AlCuMg (Figure 2(h)). 33,38–40 Apart from the phases of elemental constituent ( i.e. , Al), additional alumina phases were identified exclusively in composites.…”

Section: Materials Manufacturing and Microstructuresmentioning

confidence: 99%

“…For a particular cast material, an average of five measured density values was considered here. 38 Theoretical densities of composites were estimated following the rule-of-mixture, 41,42 and porosity was determined by comparing the density value of measured one with that of its theoretical. 43 The Vickers hardness reported for a specific material was an average of at least six hardness results randomly determined on mirror polished surface employing 5 kgf load for 30 s dwell time.…”

Section: Materials Manufacturing and Microstructuresmentioning

confidence: 99%

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Modelling of tribological responses of composites using integrated ANN-GA technique

Sardar

Dey

Das

2020

Journal of Composite Materials

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In the present article, artificial neural networks (ANNs) and genetic algorithm (GA) methodology were integrated to model tribological characteristics of stir-cast Al-Zn-Mg-Cu matrix composites under two-body abrasion considering large numbers of experimentally generated results. Tribo-responses of wear rate (Wrt), coefficient of friction (COF) and roughness of abraded surface (RAS) were evaluated under wide range of intrinsic ( i.e., particle quantity) and extrinsic ( i.e., abrasive size, load, distance and velocity) input parameters. Characteristics of Wrt, COF and RAS are often mutually contradictory in nature and so, multi-objective optimization technique becomes imperative for selection and design of machine components. Accordingly, those were optimized through Pareto solutions. Sensitivity of different factors was analyzed on each of the tribo-performances and validated via experimental evidences. Amongst the input variables, particle quantity and abrasive size dominated significantly over other variables except load which imparted modest influences. The role of various input parameters was explained through determination of different micromechanisms via exhaustive post wear characterizations, microstructural and surface topography attributes. Lowest values of Wrt and COF with a modest value of RAS were identified at 15 ± 2 wt.% particle quantity.

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Section: Modelling and Optimizationmentioning

confidence: 69%

Section: Materials Manufacturing and Microstructuresmentioning

confidence: 94%

Section: Materials Manufacturing and Microstructuresmentioning

confidence: 99%

Section: Materials Manufacturing and Microstructuresmentioning

confidence: 99%

See 2 more Smart Citations

Modelling of tribological responses of composites using integrated ANN-GA technique

Sardar

Dey

Das

2020

Journal of Composite Materials

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“…These prediction models in the coded form of factors are compiled in Table 6 along with correlation coefficients of R-Sq and R-Sq (adjusted). A correlation coefficient (say R-Sq), with its value near 1, determines how close actual data points fit a plotted regression line [53,72]. The actual and predicted values of all 27 tests are compared in Fig.…”

Section: Modelling Of Wear Conditions and Their Validationmentioning

confidence: 99%

Identification and modelling of applicable wear conditions for stir cast Al-composite

2019

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A comprehensive study of the tribological performance of the Al-Zn-Mg-Cu/Al 2 O 3 composite and its matrix alloy is presented in this paper, with a specific emphasis to identify and model the applicable wear conditions where the composite provides a minimum of 50% reduction in wear rate and 25% lowering of the friction coefficient. Two-body abrasion experiments following Taguchi L 27 orthogonal design have been performed separately on alloy and composite materials, both prepared by the stir casting method. The influence of crucial control factors including silicon carbide (SiC) abrasive size, load, sliding distance, and velocity on the percentage variations of wear rates and friction coefficients between alloy and composite have been studied using the analysis of variance technique and full quadratic regression method. The dominant control factors are identified as abrasive size, load, and the interaction between abrasive size and load. This has been verified by establishing the influence of abrasive size and load on variations of wear mechanisms like microcutting, microploughing, and delamination, identified by means of in-depth characterization of worn surfaces and generated debris for both alloy and composite. The selection of applicable tribological condition for the composite has been accomplished by adopting the multi-response optimization technique based on combined desirability approach to obtain concurrent optimization of the percentage variations of wear rates and friction coefficients. Predictive models correlating the superiority of tribological performance of composite with abrasion conditions have been developed, and these are found to be accurate (errors <10%), as determined by confirmatory experiment.

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Fabrication of Al7075/PI composites base on FSW technology

Gao

Zhang

Jin

et al. 2019

Int J Adv Manuf Technol

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High stress abrasive wear characteristics of Al 7075 alloy and 7075/Al2O3 composite

Cited by 59 publications

References 63 publications

Modelling of tribological responses of composites using integrated ANN-GA technique

Modelling of tribological responses of composites using integrated ANN-GA technique

Identification and modelling of applicable wear conditions for stir cast Al-composite

Fabrication of Al7075/PI composites base on FSW technology

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