Multi-objective optimization of upsetting parameters of Al–TiC metal matrix composites: A grey Taguchi approach

Sahu, Mohit Kumar; Valarmathi, A.; Baskaran, S.; Anandakrishnan, V.; Pandey, Rabichandra

doi:10.1177/0954405413519434

Cited by 30 publications

(16 citation statements)

References 24 publications

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“…In case of hybrid aluminum matrix (HAMC) more than one reinforcements are added in aluminum matrix. Particles reinforced aluminum matrix composites are used in aerospace, automobile and structural application due very high strength to weight ratio, superior wear resistance, high stiffness, higher fatigue resistance controlled co-efficient of thermal expansion and better stability at elevated temperature, high thermal and electrical conductivity compared to conventional metals and alloys, which makes it suitable for design of an extensive range of components in advanced applications [1,2,[4][5][6][7]. Selection of processing of technique plays a vital role over the property of the composite.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of Aluminum Matrix Composites by Stir Casting Technique and Stirring Process Parameters Optimization

Sahu¹,

Sahu²

2018

Advanced Casting Technologies

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Aluminum matrix composites (AMCs) and hybrid aluminum matrix composites (HAMCs) becomes choice for automobile and aerospace industries due to its tunable mechanical properties such as very high strength to weight ratio, superior wear resistance, greater stiffness, better fatigue resistance, controlled co-efficient of thermal expansion and good stability at elevated temperature. Stir casting is an appropriate method for composite fabrication and widely used industrial fabrication of AMCs and HAMCs due to flexibility, cost-effectiveness and best suitable for mass production. Distribution of the reinforcement particles in the final prepared composite regulates the anticipated properties of AMCs and HAMCs. However, distribution of reinforcements is governed by stirring process parameters. The study of effect of stirring parameters in the particle distribution and optimal selection of these is still a challenge for the ever-growing industries and research. In this chapter accurate and precise attempts were taken to explore the effect of stirring parameters in stir casting process rigorously. Further, Optimal values of stirring parameters were suggested which may be helpful for the researchers for the development of AMCs and HAMCs. This chapter may also provide a better vision towards the selection of stirring parameters for industrial production of AMCs and HAMCs comprising superior mechanical properties.

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Section: Introductionmentioning

confidence: 99%

Fabrication of Aluminum Matrix Composites by Stir Casting Technique and Stirring Process Parameters Optimization

Sahu¹,

Sahu²

2018

Advanced Casting Technologies

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“…The parametric combination with highest GRG implies that the corresponding experimental run is closest to the optimal value of the desired multiple performance characteristics. 23 The GRG vector γ can be determined by equation (16) as follows. It is clearly observed that γ 1 has the largest value among the components of vector γ .…”

Section: Resultsmentioning

confidence: 99%

“…This method has been widely applied in recent years for optimal process parameter design of multiple performance characteristics. 16–23 In the traditional machining, Kopac and Krajnik 24 applied the grey–Taguchi method to the robust design of flank milling parameters dealing with the optimization of the cutting loads, milled surface roughness, and the material removal rate. They obtained optimal parameter combination of coolant employment, number of end mill flutes, cutting speed, feed, axial depth of cut, and radial depth of cut.…”

Section: Introductionmentioning

confidence: 99%

Analysis and optimization of cutter geometric parameters for surface integrity in milling titanium alloy using a modified grey–Taguchi method

Ren

Zhou

Zeng

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Surface integrity determines the performance and quality of the end product. It often needs to change the input parameters, such as cutting parameter, cutting tool geometry and material, and tool coating, to obtain the best machining surface integrity. This article presents and demonstrates the effectiveness for the multi-objective optimization of cutter geometric parameters for surface integrity of milling Ti-5Al-5Mo-5V-1Cr-1Fe titanium alloy via grey relational analysis coupled with the Taguchi method, entropy weight method, and analytic hierarchy process. The main influence factors are chosen as radial rake angle, primary radial relief angle, and helix angle, while surface roughness and residual stress are taken as performance characteristics. Based on the Taguchi method, an L16 (43) orthogonal array is chosen for the experiments. The effect of cutter geometric parameters on surface roughness and residual stress is analysed by signal-to-noise ratio. Then, the multiple objectives optimization problem is successfully converted to a single-objective optimization of grey relational grade with the grey relational analysis. The weight coefficient for grey relational grade is determined by entropy weight method integrated with analytic hierarchy process. The results show that the order of importance for controllable factor to the milling surface integrity, in sequence, is radial rake angle, primary radial relief angle, and helix angle. The validation experiment verifies that the proposed optimization method has the ability to find out the optimal geometric parameters in terms of milling surface integrity.

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“…Wear is a phenomenon of material removal that occurs in the interface between two surfaces, which affects the reliability and durability of any machine [1,2]. Whereas, the strength to weight ratio of the material directly affects the power consumption and efficiency of any mechanism [3].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation, Modeling, and Optimization of Wear Parameters of B4C and Fly-Ash Reinforced Aluminum Hybrid Composite

Sahu

2020

Front. Phys.

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Lightweight and high-wear performance materials are currently in demand for various advanced applications in areas such as aerospace and automobiles. These demands can be achieved by hybrid aluminum matrix composites (HAMCs), as they possess excellent mechanical and tribological properties which can be customized using more than one reinforcement. Boron carbide (8 wt.%) and fly-ash (2 wt.%) reinforced hybrid aluminum 7075 composite was successfully fabricated using a stir-casting route. Wear is a crucible phenomenon that occurs over the interaction of surfaces and affects the performance of the material. To investigate wear behavior of developed HAMC, dry sliding wear tests were conducted based on the central composite design, taking the specific wear rate as a response parameter. Modeling of wear parameters is crucial, as it helps to predict the value of the wear response at the given set of input parameters without performing experimentation. Response surface method (RSM) was used for the modeling of wear parameters to develop an empirical model of specific wear rate in terms of load, sliding speed, and sliding distance. The high value of the coefficient of determination (R 2 = 0.9894) illustrates the goodness of fit of the developed model. Moreover, the optimal condition of wear parameters was determined as 20 N load, 1.5 m/s sliding speed, and 500 m sliding distance; the predicted value of specific wear rate in this set of parameters is 0.2 × 10 −5 mm 3 /N-m. The validation test at optimal conditions was performed and the specific wear rate was found to be 0.205 × 10 −5 mm 3 /N-m, which shows good agreement with the predicted value. The worn-out surface and debris were analyzed using scanning electron microscope (SEM) images and electron dispersive spectrums (EDS) to completely explore the mechanism of wear.

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Multi-objective optimization of upsetting parameters of Al–TiC metal matrix composites: A grey Taguchi approach

Cited by 30 publications

References 24 publications

Fabrication of Aluminum Matrix Composites by Stir Casting Technique and Stirring Process Parameters Optimization

Fabrication of Aluminum Matrix Composites by Stir Casting Technique and Stirring Process Parameters Optimization

Analysis and optimization of cutter geometric parameters for surface integrity in milling titanium alloy using a modified grey–Taguchi method

Experimental Investigation, Modeling, and Optimization of Wear Parameters of B4C and Fly-Ash Reinforced Aluminum Hybrid Composite

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