Simultaneous optimization of drilling responses using GRA on Al-6063/TiC composite

Reddy, P. Venkateshwar; Ramanjaneyulu, P.; Reddy, Bale V.; Rao, P. Srinivasa

doi:10.1007/s42452-020-2214-5

Cited by 13 publications

(10 citation statements)

References 35 publications

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“…GRA is a way of transforming two or more responses into a single response. In the sub-sections, the method for measuring the GRA is explained (Reddy et al , 2020a, b, c, d; Kumar et al , 2020). Step 1: Normalization…”

Section: Resultsmentioning

confidence: 99%

“…The top two effectible process parameters on the responses are utilized for developing the contour plots (Reddy et al , 2020a, b, c, d). The contour plots can be helpful for simultaneous observation of two factors on the responses.…”

Section: Resultsmentioning

confidence: 99%

“…The reinforcement content of Al-5052/SiC/TiC-MMC is shown in Table 1. The mechanical properties of composites used throughout the research analysis and whose wear behavior can even be described in the literature (Reddy et al , 2020a, b, c, d). The bonding of the reinforcement particles with the matrix material was observed with the help of SEM analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Machinability analysis has been an intense opportunity for researchers owing to its broad application. With its outstanding characteristics, several studies aimed to demonstrate the behavior of MMCs while machining and also to analyze the machinability of these composites, especially when considering the value of using MMCs (Reddy et al , 2020a, b, c, d; Manna and Bhattacharyya, 2004). Owing to the relative motion of the ceramic fibers or fragments, the main difficulty in machining MMC is the exceptionally high wear of tools.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of the machining parameters in turning of Al-5052/TiC/SiC composites: a statistical modeling approach using grey relational analysis (GRA) and response surface methodology (RSM)

Reddy¹,

Reddigari

Anna

et al. 2021

MMMS

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PurposeMetal matrix composites (MMC) has been a section which gives an overview of composite materials and owing to those exceptional physical and mechanical properties, particulate-reinforced aluminum MMCs have gained increasing interest in particular engineering applications. Owing to the toughness and abrasive quality of reinforcement components such as silicon carbide (SiC) and titanium carbide (TiC), such materials are categorized as difficult materials for machining. The work aims to develop the model for evaluating the machinability of the materials via the response surface technique by machining three distinct types of hybrid MMCs.Design/methodology/approachThe combined effects of three machining parameters, namely “cutting speed” (s), “feed rate” (f) and “depth of cut” (d), together with three separate composite materials, were evaluated with the help of three performance characteristics, i.e. material removal rate (MRR), cutting force (CF) and surface roughness (SR). Response surface methodology and analysis of variance (ANOVA) both were initially used for analyzing the machining parameters results.FindingsThe contours were developed to observe the combined process parameters along with their correlations. The process variables were concurrently configured using grey relational analysis (GRA) and the composite desirability methodology. Both the GRA and composite desirability approach obtained similar results.Practical implicationsThe results obtained in the present paper will be helpful for decision-makers in manufacturing industries, who work on metal cutting area especially composites, to select the suitable solution by implementing the Grey Taguchi and modeling techniques.Originality/valueThe originality of this research is to identify the suitability of process parameters combination based on the obtained research results. The optimization of machining parameters in turning of hybrid metal matrix composites is carried out with two different methods such as Grey Taguchi and composite desirability approach.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling of the machining parameters in turning of Al-5052/TiC/SiC composites: a statistical modeling approach using grey relational analysis (GRA) and response surface methodology (RSM)

Reddy¹,

Reddigari

Anna

et al. 2021

MMMS

Self Cite

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show abstract

“…TOPSIS was developed by Hwang and Yoon in 1985, and it is used to find the ideal solution and the non-ideal solution by using the normalized matrix and then calculate the relative distance from the ideal solution [16,17]. GRA was proposed by Deng in 1982, and it is used to predict, make decisions and solve various uncertain problems [18][19][20]. Sina et al [21] found that TOPSIS method could be used to select the parameter combination and obtain better cutting effect in the abrasive water jet cutting process.…”

Section: Introductionmentioning

confidence: 99%

Overall evaluation of the surface integrity in two-dimensional ultrasonic surface rolling 7050 Al alloy

Zheng

Zhu

Liu

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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To improve the anti-fatigue performance and the service life of parts made of 7050 aluminium alloy, the surface integrity of the workpiece treated by two-dimensional ultrasonic surface rolling (TDUSR) was comprehensively evaluated, and the optimization methods of the process parameters were proposed in this paper. The orthogonal experimental method was used to design an experiment program for TDUSR 7050 aluminium alloy. Based on the experimental results, the entropy weight method was used to make objectively weight for each quantifiable evaluation index. The technique for order preference by similarity to an ideal solution (TOPSIS) improved by the grey relational analysis (GRA) was presented to evaluate the surface integrity. Quadratic regression analysis was applied to establish prediction models for the surface roughness, microhardness, residual stress and the close degree. The optimal process parameters for the surface integrity were obtained using planning solution based on the prediction models. The results show that the static load and the feed rate have significant effects on the surface integrity, and their contributions are 60.52% and 28.05%, respectively. The maximal close degree obtained by planning solution is bigger than that obtained by TOPSIS improved by GRA. The validation test result proves that the overall evaluation method of TOPSIS improved by GRA combined with prediction modelling method by quadratic regression analysis can provide comparatively better process parameters and obtain more desirable process responses.

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Soft Computing Techniques and Aluminum Metal Matrix Composites

Jammoria¹,

Haq²,

Singh³

et al. 2022

Optimization of Industrial Systems

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Simultaneous optimization of drilling responses using GRA on Al-6063/TiC composite

Cited by 13 publications

References 35 publications

Modeling of the machining parameters in turning of Al-5052/TiC/SiC composites: a statistical modeling approach using grey relational analysis (GRA) and response surface methodology (RSM)

Modeling of the machining parameters in turning of Al-5052/TiC/SiC composites: a statistical modeling approach using grey relational analysis (GRA) and response surface methodology (RSM)

Overall evaluation of the surface integrity in two-dimensional ultrasonic surface rolling 7050 Al alloy

Soft Computing Techniques and Aluminum Metal Matrix Composites

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