Effect of Friction Stir Processing Process Parameters on the Mechanical Properties of AZ31B Mg Alloy

Venkateswarlu, G.; Davidson, M. J.; Sammaiah, Pulla

doi:10.12776/mie.v13i1-2.338

Cited by 9 publications

(11 citation statements)

References 14 publications

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“…The material under the shoulder also undergoes plastic deformation due to the high strain rate provided by the stirring action of the tool pin. The main applications of FSP for microstructural modification in metals include homogenization of reinforcement in MMCs [4], grain refinement through dynamic recrystallization [5][6][7], and superplasticity [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Study of Nano-Mechanical, Electrochemical and Raman Spectroscopic Behavior of Al6061-SiC-Graphite Hybrid Surface Composite Fabricated through Friction Stir Processing

Sharma

Sahoo

et al. 2018

J. Compos. Sci.

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Aluminium-based hybrid metal grid composites (MMC) are extensively utilized in automobile applications (engine cylinders, pistons, etc.) as they exhibit a fantastic blend of properties. Here, a detailed study of nano-mechanical, electrochemical and Raman spectroscopic behavior of friction stir processed Al6061-SiC-graphite hybrid surface composite is presented. The effect of various tool rotational speeds was evaluated along with the monitoring of variation in axial force. Microstructural changes with various tool rotational speeds are studied by using a scanning electron microscope. Raman spectroscopy and X-Ray diffraction studies are used for the spectroscopic characterization of the fabricated hybrid and mono surface composites. Residual stresses and various crystal structure disorders of reinforcement result in the significant change in intensity and a considerable shift in Raman peak positions. The nano-mechanical behavior of the fabricated composite with various reinforcements and tool rotational speeds are analyzed by using nano-indentation. The nano-mechanical behavior of hybrid composite fabricated with an optimum set of processing parameters is superior to mono composites fabricated with the same processing parameters. Also, the electrochemical behavior of the fabricated composites is studied by linear potentiodynamic polarization test. The Al6061-SiC-graphite hybrid surface composite reveals excellent nano-mechanical and electrochemical behavior when fabricated with an optimum set of processing parameters. The tool rotational speed has a pronounced effect on the dispersion of agglomerates and grain refinement of the matrix material. The processing parameters extensively affect the Raman spectroscopic behavior of the hybrid composite. The hybrid surface composite shows better corrosion resistance than the mono composites when fabricated with an optimum set of processing parameters. Reduced intergranular as well as interfacial corrosion pits in hybrid composites increased its resistance to corrosion.

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Section: Introductionmentioning

confidence: 99%

Study of Nano-Mechanical, Electrochemical and Raman Spectroscopic Behavior of Al6061-SiC-Graphite Hybrid Surface Composite Fabricated through Friction Stir Processing

Sharma

Sahoo

et al. 2018

J. Compos. Sci.

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“…In solution 1, i.e., the shown values of design parameters, it is 89.8% likely to get the Response = 2.415 sec. "Any other combination of the design parameters will either be statistically less reliable or give poor results of at least one response" [26]. However, these solutions could be used to achieve the possible values of the response.…”

Section: Resultsmentioning

confidence: 99%

Determining Optimum Design Parameters of Foldable Product Using Response Surface Methodology and Genetic Algorithm

Alam¹,

Amin²

2020

ENG

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It is desired to optimize design parameters in any product development for achieving the appropriate efficiency level in any manufacturing industry. To select the best materials used, reduce cost, and increase a product's sustainability, an analysis of all design parameters must be conducted. Suitable design parameters and their optimum ranges provide the feasibility in developing a specific product. Response Surface Methodology (RSM) provides the opportunity of checking the parameters after considering optimization strategies, which results in improving the production process. In this study, the research aims to construct a 3D model and a mathematical equation on a foldable product to optimize the design parameters. A 2-level 3 factors small Central Composite Design (CCD) method is used for planning experimental trials, and the primary objective is to determine the optimal value for three design parameters, which are fold angle, length of the cycle, and height between seat and paddle in terms of the response which is "time required to fold the product". This paper directs attention towards response optimization to achieve minimum "time required to fold the product" using the desirability criteria of Response Surface Methodology (RSM) and the optimization approach of the Genetic Algorithm (GA). The optimum value of "time required to fold the product" is found to be 2.415 seconds with a combination of design parameters such as "fold angle" of 180˚, "length of the cycle" of 74.112 cm, and "height between seat and paddle" of 0.613 m using Response Surface Methodology (RSM). The Genetic Algorithm (GA) predicts the "time required to fold the product" is 2.39 seconds and design parameters of "fold angle" of 179.559˚, "length of the cycle" of 74.1 cm, and "height between seat and paddle" of 0.59 m. This similar sort of analysis can be implemented in different manufacturing industries for developing a specific product.

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“…The selection of process parameters' values is based on the past literature [14]. 16. The plan of experiments consists of 16 tests (runs) arranged in rows and the three design variables, assigned to first three columns.…”

Section: Design Of Experiments (Doe)mentioning

confidence: 99%

“…Three body abrasion wear behaviour of functionally graded aluminium/B4C metal matrix composite was investigated by Radhika and Raghu [11] [16] have illustrated the use of Taguchi technique to experiment and optimize friction stir process (FSP) parame-ters in order to achieve optimized mechanical properties of AZ31B Mg alloy. Raos and Stojsic [17] have used central composite design (CCD) to determine the influence of two pro-cessing parameters: injection pressure and injection speed on tensile strength of injection moulded part and ANOVA of the response indicated injection pressure to be the most influ-ential factor.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Statistical Approach to Wear Characterization of Plasma Nitrided AISI 4140 Steel-A Case Study

Bhaskar

Kudal

2017

MIE

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<p>Components of forming tool dies such as draw ring, ejector pin use AISI 4140 as material for their manufacturing. The integrity of the die cutting tools is essential to achieve adequate product quality. In present study, the influence of plasma nitriding (PN) on the wear behav-iour of AISI 4140 steel was investigated. Full factorial experimental design technique was used to study the main effects and the interaction effects between operational parameters and the response variable. The control factors at their two levels (-1 and +1) were: applied load (4.905N and 14.715N), sliding speed (3.14 m/s and 5.23 m/s), and sliding distance (500m and 1000m).The parameters were coded as A, B, and C, consecutively, and were investigated at two levels (-1 and +1). Response selected was Wear Volume Loss (WVL). The effects of in-dividual variables and their interaction effects for dependent variables, namely, WVL were determined. The process of selecting significant factors, based on statistical tools, is illustrat-ed. Analysis of Variance (ANOVA) was performed to know the impact of individual factors on the WVL. Untreated and PN treated AISI 4140 specimens were investigated using field emission Scanning Electron Microscope (SEM) equipped with Energy Dispersive X-ray (EDX) analyzer. Finally diagnostics tools were used to check adequacy of the model in terms of assumptions of ANOVA. ‘Design Expert-7’ and ‘Minitab 17’ softwares were used in the study. Results of statistical analysis indicate that the most effective parameters in the WVL were load and sliding speed. The interaction between load and sliding speed was the most influencing interaction. Results of regression analysis indicate regression coefficient (R2) to be above 90% which suggests good predictability of the model. ‘Predicted-R2’ and ‘Adjusted-R2’, found to be in good agreement with R2, for both the materials under investigation. More-over, results of SEM microscopy suggest PN to be an effective technique to reduce wear.</p>

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Effect of Friction Stir Processing Process Parameters on the Mechanical Properties of AZ31B Mg Alloy

Cited by 9 publications

References 14 publications

Study of Nano-Mechanical, Electrochemical and Raman Spectroscopic Behavior of Al6061-SiC-Graphite Hybrid Surface Composite Fabricated through Friction Stir Processing

Study of Nano-Mechanical, Electrochemical and Raman Spectroscopic Behavior of Al6061-SiC-Graphite Hybrid Surface Composite Fabricated through Friction Stir Processing

Determining Optimum Design Parameters of Foldable Product Using Response Surface Methodology and Genetic Algorithm

Experimental Investigation and Statistical Approach to Wear Characterization of Plasma Nitrided AISI 4140 Steel-A Case Study

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