Multi-Response Optimization of Vibration Assisted Electrical Discharge Drilling Process using PCA based GRA approach

Pandey, Gaurav Kumar; Yadav, Sanjeev Kumar Singh

doi:10.1016/j.matpr.2020.03.424

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…Taguchi method combined with grey relevance theory can effectively solve complex multi-response problems. It provides an effective solution for multi-response and multiparameter optimization problems [26][27][28]. The literature review reveals that while methods such as Taguchi method (TM) and Response Surface Methodology (RSM) can optimize a single response objective, they cannot satisfy the optimization of multiple parameters under multiple responses.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of the structural parameters of an allmetal progressive cavity pump based on Grey-Taguchi relational analysis

zhou,

xie,

et al. 2024

Preprint

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The all-metal progressive cavity pump (AMPCP) lifting technology can effectively address the challenge of efficiently lifting heavy-oil wells with steam throughput hot recovery. However, design issues have been found to reduce the volumetric efficiency and stability of AMPCP during the process of heavy-oil hot recovery. To enhance the volumetric efficiency and head of the AMPCP, as well as to minimize the impact of turbulent kinetic energy, the Taguchi method was employed to conduct a total of 25 orthogonal experiments involving four factors at five levels. The input parameters included the rotor radius, eccentricity distance, meshing clearance, and the helical pitch of the stator. The output parameters consisted of volumetric efficiency, head, and turbulent kinetic energy. The single-factor effects were analyzed using signal-to-noise ratio (SNR), range analysis (R/S), and variance analysis (ANOVA). Employing the Taguchi method combined with grey relational analysis, the three response objectives were combined into a gray relational grade (GRG). The structural parameter combination that conforms to 95% volumetric efficiency is as follows: rotor radius of 20.5mm, eccentricity distance of 5.1mm, meshing clearance of 0.35mm, and the helical pitch of the stator of 135mm. The simulation results indicate that utilizing Taguchi's method and gray relational analysis for the structural design of AMPCP can enhance its volumetric efficiency and stability.

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Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of the structural parameters of an allmetal progressive cavity pump based on Grey-Taguchi relational analysis

zhou,

xie,

et al. 2024

Preprint

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show abstract

“…But only one parameter which is affected by process parameters can be optimized using the Taguchi technique (Arunachalam et al, 2020). Therefore, alternative optimization methods such as GRA, PCA, Response Surface Methodology (RSM), and GRA‐PCA can be used for multi‐response optimization (Pandey & Yadav, 2020). No studies were found on GRA‐PCA optimization of food foam production parameters.…”

Section: Introductionmentioning

confidence: 99%

Multi‐response optimization of process parameters of saponin‐based model foam using Taguchi method and gray relational analysis coupled with principal component analysis

Güldane

Doğan

2022

Food Processing Preservation

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Foam is a two‐phase system in which continuous liquid and discontinuous gas phases interact. Maintaining equilibrium between these phases can only be achieved by optimizing the properties of the foam. The aim of the current research is to optimize process parameters (PPs) such as protein type, hydrocolloid concentration, hydrocolloid type, and mixing temperature in the preparation of model foam using the Taguchi method (TM) and gray relational analysis (GRA) in conjunction with principal component analysis (PCA). The experiments were performed using the Taguchi orthogonal array (L16) and then the effects of PPs on the overrun (OR), bubble size (BS), and loss tangent (LT) were investigated. The results showed that GRA‐PCA performed better than TM in optimizing the multiple responses. Consequently, the foam optimized for OR, LT, and BS could be prepared by whipping a sugar‐containing solution with saponin (0.096%), whey protein concentrate (0.5%) and pectin (0.05%) at 80°C. Practical applications There is a need for alternative foaming agents for foam production in the food industry. For this purpose, optimization methods such as Taguchi method (TM) and gray relational analysis (GRA)‐ principal component analysis (PCA) were used to determine better foaming properties (higher foamability and more elasticity) of the test sample with a combination of Gypsophila saponin, milk proteins, and hydrocolloids. As a result, it was found that GRA‐PCA is a more effective optimization method than TM in multi‐response optimization of food foams.

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“…The statistical analysis showed that the machining parameters with a significant impact on surface roughness were the cutting speed trailed by the depth of a cut and feed correspondingly. Pandey and Yadav (2020) demonstrated optimization of process parameters during low-frequency vibration-assisted electric discharge machining of Ti-6Al-4V and Al-TiB2. They have presented the effects of vibration of tool electrodes on process parameters.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Optimization of Machining Parameters in Turning of Aluminum Alloy 075-T651

Srivastava

Verma

Niranjan

et al. 2021

Production Engineering Archives

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Aluminum alloy 7075-T651 is a widely used material in the aviation, marine, and automobile sectors. The wide application marks the importance of this material’s research in the manufacturing field. This research focuses on optimizing input process parameters of the turning process in the machining of Aluminum 7075-T651 with a tungsten carbide insert. The input machining parameters are cutting speed, feed, and depth of cut for the output response parameters cutting force, feed force, radial force, material removal, and surface roughness of the workpiece. For optimization of process parameters, the Taguchi method, with standard L9 orthogonal array, is used. ANOVA is applied to obtain signifi-cant factors and optimal combinations of process parameters.

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Multi-Response Optimization of Vibration Assisted Electrical Discharge Drilling Process using PCA based GRA approach

Cited by 6 publications

References 5 publications

Multi-objective optimization of the structural parameters of an allmetal progressive cavity pump based on Grey-Taguchi relational analysis

Multi-objective optimization of the structural parameters of an allmetal progressive cavity pump based on Grey-Taguchi relational analysis

Multi‐response optimization of process parameters of saponin‐based model foam using Taguchi method and gray relational analysis coupled with principal component analysis

Experimental Investigation and Optimization of Machining Parameters in Turning of Aluminum Alloy 075-T651

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