Modeling the abrasive wear characteristics of in-situ synthesized Al–4.5%Cu/TiC composites

Kumar, Anand; Mahapatra, Manas Mohan; Jha, Pradeep Kumar

doi:10.1016/j.wear.2013.08.013

Cited by 48 publications

(42 citation statements)

References 23 publications

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“…After completion of the particle addition, the stirrer was further rotated at the aforementioned speed for 10 minutes to achieve a homogeneous distribution of reinforcement in the melt [31]. Before pouring the slurry maintained at a temperature of 800 °C , tablets containing C 2 Cl 6 were immersed in the slurry to degas the melt [17,37]. At the time of pouring, the stop-plug at the bottom of the crucible was removed by means of hinge arrangement to allow slurry to fall downwards into the pre-heated cast iron mold.…”

Section: Materials and Manufacturing Processmentioning

confidence: 99%

“…The abrasive mode of wear corresponds to the situation when harder asperities or particles during sliding penetrate a softer surface and displace material in the form of chips or debris, thereby leading to material loss [15]. Depending on the contact environment and the kind of contact, abrasive wear is broadly divided into two-and three-body wear [17]. In the case of two-body abrasion, removal of material is caused by hard asperities rigidly attached to the counter surface by actions of ploughing and cutting [18].…”

Section: Introductionmentioning

confidence: 99%

“…[15,24]. The complexity of analyzing abrasive wear behavior of AMCs due to the involvement of diverse parameters (factors) may be resolved by employing statistical tools, such as the design of experiments (DOE) technique [7,15,17]. A statistical model developed by Mondal et al [4] with the help of factorial DOE and linear regression method, successfully predicts two-body abrasion characteristics of Al ADC12/10 wt% Al 2 O 3 composite under a wide range of abrasive sizes (30-80 μm) and loads (1-7 N).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Materials and Manufacturing Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2019

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“…With numerous factors and their interactions affecting wear behavior of the chute, it becomes complex to analyze the effect of an individual factor on a particular abrasive wear situation. Design of experiment (DoE) methods allows measuring the significance of the design variables not only when they are acting alone, but also when combined effects are present [16,17]. DoE based on Plackett-Burman design (PBD) method [18,19] works at two levels and can be constructed on the basis of fractional replication of a full factorial design.…”

Section: Introductionmentioning

confidence: 99%

Screening the Main Factors Affecting the Wear of the Scraper Conveyor Chute Using the Plackett–Burman Method

Xia

Wang

et al. 2019

Mathematical Problems in Engineering

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The wear of scraper conveyor chute causes both significant economic and environmental losses by shortening the service life. The life of the chute under coal abrasive wear situations is primarily decided by operating conditions and the materials properties. The comprehensive analysis of the influence factors had not been studied before. In this paper, the Plackett-Burman design (PBD) method was used to screen the main influence factors and a regression equation was developed to predict the wear loss. The steel was tested on a modified pin-on-disk apparatus in which coal abrasive was filled in the disk. The influence factors included water content, gangue content, coal particle size, Hardgrove Grindability-Index (HGI) of the coal, normal load, and scraper chain speed. The results of the investigation suggested that the significance of water content, normal load, and gangue content on wear loss was relatively higher than the HGI of coal, scraper chain speed, and coal particle size. The wear loss increased with the increase of water content, gangue content, normal load, and coal particle size while it decreased as increase in HGI of the coal and scraper chain speed. Based on the significance of the parameters, the regression equations were derived and verified further with a number of test cases. Optical microscope studies revealed the main wear mechanism of the chute was mainly micro-cutting and corrosive wear and accompanied by fatigue fracture.

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“…An attempt has been made to develop Al/TiC MMCs for the abrasive wear application and the influence of wear parameters on the composite is analyzed through full factorial approach using the statistical method. The result shows that sliding distance has the significant effect on the mass loss rather than applied load and the percentage of reinforcement and also reported that Analysis of Variance (ANOVA) helps in constructing the regression equation based upon the influence of the parameters [8]. Influence of the parameters on abrasion wear behaviour of different composites has been investigated and the minimum wear rate condition is found out through Taguchi's Design of Experiment (DOE).…”

Section: Introductionmentioning

confidence: 99%

Three Body Abrasion Wear Behaviour of Functionally Graded Aluminium/B4C Metal Matrix Composite Using Design of Experiments

Radhika

Raghu

2014

Procedia Engineering

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Functionally graded aluminium metal matrix composite (Al-Si5Cu3/B 4 C) was fabricated through liquid metallurgy route followed by horizontal centrifugal casting method. The casting was obtained under the centrifugal die rotating speed of 1250 rpm and has the dimensions of length 150 mm, outer diameter 160 mm and thickness 20 mm. The microstructural test was performed at the surfaces those were at the distances of 3, 9 and 15 mm from the outer periphery of the casting. The tribological performance of the composite was studied using Design of Experiments. The wear experiments were conducted on the dry abrasion tester as per L 27 orthogonal array using silica sand AFS 50/70 as an abrasive medium. The parameters such as load (28, 40, 52 N), speed (100, 150, 200 rpm) and distance (3, 9, 15 mm from the outer periphery of the casting) were varied for three levels. The response studied was wear rate and the wear performance was analysed by choosing "Smaller-the-better" characteristics. The influence of parameters such as applied load, sliding speed and distance from the outer periphery of the casting on the response was studied by using Analysis of Variance and Signal-to-Noise ratio. The results revealed that distance from the outer periphery of the casting has the major impact on the wear rate followed by load and speed. The worn out surfaces were subjected to Scanning Electron Microscope analysis and the wear mechanisms were observed.

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Modeling the abrasive wear characteristics of in-situ synthesized Al–4.5%Cu/TiC composites

Cited by 48 publications

References 23 publications

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

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

Screening the Main Factors Affecting the Wear of the Scraper Conveyor Chute Using the Plackett–Burman Method

Three Body Abrasion Wear Behaviour of Functionally Graded Aluminium/B4C Metal Matrix Composite Using Design of Experiments

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