Optimization of powder metallurgy processing parameters of Al2O3/Cu composite through Taguchi method with Grey relational analysis

Hussain, Md. Zakir; Khan, Sabah; Sarmah, Pranjal

doi:10.1016/j.jksues.2019.01.003

Cited by 38 publications

(26 citation statements)

References 15 publications

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“…The versatility of these optimization techniques has resulted in their application into other aspects of MMC research including fabrication and tribology optimization [10], [11]. Of these optimization techniques specified in fig.…”

Section: Fig 1 Optimization Techniques Applied For the Machinability Studies Of Amcsmentioning

confidence: 99%

Characterization, machinability studies, and multi-response optimization of AA 6082 hybrid metal matrix composite

Ononiwu

Ozoegwu

Madushele

et al. 2021

Int J Adv Manuf Technol

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This work investigated the effect of carbonized eggshell and fly ash on the microstructure, mechanical properties and machinability of AA 6082. The fabrication method selected for this study was stir casting. For the hybrid metal matrix composite, the weight fraction was 2.5wt% carbonized eggshell and 2.5wt% fly ash. The microstructural examination of the cast composite showed an even dispersal of the reinforcing phases in the aluminium matrix. Density analysis saw a 10.66% reduction of the cast composite in comparison to the aluminium alloy. Improvements of 12.32%, 21.91%, and 8.30% were recorded for the microhardness, tensile strength and compressive strength respectively. The wear studies of the cast samples revealed coefficients of friction (CoF) of 0.499 and 0.290 for the base metal and the AMC respectively. For the machinability studies, the surface roughness and flank tool wear were the responses under consideration. The design of experiments was conducted using the Taguchi method. The input parameters for this investigation was the cutting speeds (100 mm/min, 200 mm/min, 300 mm/min), feeds (0.1 mm/rev, 0.2 mm/rev, 0.3 mm/rev) and depths of cut (0.5 mm, 1.0 mm, 1.5 mm). For the multi-response optimization, Taguchi based grey relational analysis was used. The analysis of variance (ANOVA) of the grey relational grade (GRG) revealed that the feed was the most influential factor on the surface roughness and tool wear. The initial optimization showed the optimal cutting speed, feed and depth of cut as 200 mm/min, 0.2 mm/rev and 1.5 mm respectively. The confirmatory experiments revealed that the optimal combination of factors was 200mm/min, 0.2 mm/rev and 0.5 mm for the cutting speed, feed and depth of cut respectively.

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Section: Fig 1 Optimization Techniques Applied For the Machinability Studies Of Amcsmentioning

confidence: 99%

Characterization, machinability studies, and multi-response optimization of AA 6082 hybrid metal matrix composite

Ononiwu

Ozoegwu

Madushele

et al. 2021

Int J Adv Manuf Technol

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“…The R 2 value obtained was 97.17% which was well within the confidence level of 95% and the level of significance of 0.05. This implies that the factors with P-value above 0.05 were considered insignificant [28].…”

Section: Wear Rate Optimization Using Taguchi Techniquementioning

confidence: 99%

Investigation on mechanical and tribological behaviour of titanium diboride reinforced martensitic stainless steel

Sadhasivam

Mohan²,

Sankaranarayanan

et al. 2020

Mater. Res. Express

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The role of metal matrix composites (MMCs) has gained huge momentum in various researches as well as in industrial applications due to their high stiffness and higher strength to weight ratio. It helps in achieving enormous weight reduction without compromising the strength of the material. In this study, a novel attempt was made to fabricate MMCs with martensitic stainless steel as matrix and titanium diboride (TiB 2 ) as reinforcement. The AISI 420 matrix with different weight percentages (1%, 2%, and 4%) of TiB 2 reinforcement was fabricated by vacuum induction melting technique (VIM). The aim of this study was to analyze the influence of TiB 2 particle addition on the mechanical and tribological properties of AISI 420 composites. X-ray diffraction studies revealed the presence of TiB 2 phase in the composite along with peak shifting and broadening of the steel matrix due to induced strain. Optical microscopy showed the distribution of TiB 2 particles in the matrix along with a significant amount of grain refinement of the composite due to the addition of TiB 2 . Microhardness results showed that the presence of TiB 2 improved the hardness with AISI 420/4%TiB 2 composite possessing the maximum hardness. Tensile test results indicated a significant improvement in the ultimate tensile and yield strength of the composite with the addition of TiB 2 . The wear tests were carried out on a pin on disc tribometer for various loads at a different sliding distance for steady sliding velocity. The dispersion of TiB 2 particle helped in achieving better wear resistance of the composites. Wear surface morphology was carried out to explore the wear mechanisms. Among the various wear mechanisms, abrasion and oxidation phenomena dominated in the composites. Taguchi optimization technique predicted that wt% of TiB 2 and applied load as influencing factors on the wear rate of the material.

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“…This theory effectively combines multiple objectives into a "single" objective, thus solving the complex multi-response question. Grey relational analysis provides an effective way to optimize multiple parameters to attain the optimal solution that satisfies multiple objectives [24,25].…”

Section: Multi-response Grey Relational Analysismentioning

confidence: 99%

Optimizing Processing Parameters for Multi-Track Laser Cladding Utilizing Multi-Response Grey Relational Analysis

Lian

Zhang

et al. 2019

Coatings

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Multi-track laser cladding is the primary technology used in industrial applications for surface reinforcement and remanufacturing of broken parts. In this study, the influence of processing parameters on multi-track laser cladding was investigated using a Taguchi orthogonal experimental design. A multi-response grey relational analysis (GRA) was employed to identify laser cladding processing parameters that simultaneously optimize the flatness ratio of the coating and the cladding efficiency. The optimal parameters setting found by GRA were validated experimentally. Results showed that the flatness ratio and cladding efficiency were closely correlated to the overlap rate and laser power, where the overlap rate shows the most significant impact on the flatness ratio and the laser power shows the most significant impact on cladding efficiency. Results from the validation experiment were within one percent (0.97% error) of the predicted value. This demonstrates the benefits of utilizing GRA in laser cladding process optimization. The methods presented in this paper can be used to identify ideal processing parameters for multi-response multi-track laser cladding processes or other industrial applications.

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Optimization of powder metallurgy processing parameters of Al2O3/Cu composite through Taguchi method with Grey relational analysis

Cited by 38 publications

References 15 publications

Characterization, machinability studies, and multi-response optimization of AA 6082 hybrid metal matrix composite

Characterization, machinability studies, and multi-response optimization of AA 6082 hybrid metal matrix composite

Investigation on mechanical and tribological behaviour of titanium diboride reinforced martensitic stainless steel

Optimizing Processing Parameters for Multi-Track Laser Cladding Utilizing Multi-Response Grey Relational Analysis

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