Analysis of EDM Process Parameters on Inconel 718 Using the Grey-Taguchi and Topsis Method

Yuvaraj, T. V.; Suresh, P.

doi:10.5545/sv-jme.2019.6194

Cited by 14 publications

(13 citation statements)

References 15 publications

(23 reference statements)

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“…The selected process parameters were tool diameter, mist flow rate, metallic powder concentration, and dielectric mist pressure. These selected parameters were selected based on previous literature review and their significance which affects the machining characteristics [16] and [17].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of the Micro-hardness of EN-31 Die Steel in a Powder-Mixed Near-Dry Electric Discharge Machining Method

Sundriyal

Vipin

Walia

2020

SV-JME

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The Powder-Mixed Near-Dry Electric Discharge Machining (PMND-EDM) methodology has proven to be efficient in terms of machining rate, surface morphology, and environmental friendliness, unlike traditional EDM. In this study, the presence of a conductive metallic powder (zinc) in the dielectric medium was responsible for changing the topography of the workpiece (EN-31) and resulted in a higher micro-hardness value of the machined component. In this research, an approach has been made to optimize the significant process parameters by using a Taguchi L9 orthogonal array (OA) to obtain machined components with higher values of micro-hardness, which was measured in terms of Vickers hardness HV. The selected process parameters were tool diameter, mist flow rate, metallic powder concentration, and dielectric mist pressure. By introducing foreign particles (metallic powder), the topography of the machined products has been improved, and the micro-hardness value was found to be enhanced. The confirmation experiment was performed for optimal process parameter settings, and the enhanced microhardness value was found to be 506.63 HV in the machined EN-31 die steel.

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Section: Introductionmentioning

confidence: 99%

Experimental Investigation of the Micro-hardness of EN-31 Die Steel in a Powder-Mixed Near-Dry Electric Discharge Machining Method

Sundriyal

Vipin

Walia

2020

SV-JME

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“…The relative closeness to the ideal solution value with highest rank is considered as the best value and performance measure for the process. The step-by-step procedure for TOPSIS is considered and estimated values are presented in the table as follows: [13][14][15][16].…”

Section: Multi-criteria Optimization Using Topsis Methodsmentioning

confidence: 99%

Optimization of Turning Parameters of Cryogenic Soaked AZ91 Magnesium Alloy using TOPSIS coupled Taguchi Technique

Gunasekaran¹,

Kumar²,

Thanigaivelan³

et al. 2021

JNMES

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Magnesium alloys is a lightweight material establishing scope in various fields such as aerospace and automobile. Moreover, magnesium alloys are also considered as a hydrogen storage materials. In order to understand the machining behaviour of magnesium alloy a detail research is planned. In this research the turning experiments are conducted on AZ91 magnesium alloy using the L9 orthogonal array (OA) experimental design. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) coupled with Taguchi and Analysis of Variance (ANOVA) methods are used to analysis the experiments. The influence of cryogenic soaking duration, feed, speed and depth of cut on cutting temperature, surface roughness and cutting force were studied. Based on the TOPSIS analysis the optimal combination for the better response is cryogenic soaking time of 30 min, speed of 500 rpm, feed of 40 mm/min and depth of cut of 0.3mm. As per F value the depth of cut shows the 0.4822 and next best factors are cutting speed and feed rate. The chip analysis reveals that the cryogenic soaking duration level of 60 min is found to reduce the self-ignited chips.

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“…Next, we propose a modified TOPSIS by replacing Euclidean distance with relational vector distance based on set pair analysis theory. In traditional TOPSIS [16] and [17], the Euclidean distance from assessment object to the ideal solution is adopted for closeness calculation. However, the objects on the perpendicular bisector of two ideal solutions have the same closeness and cannot be distinguished.…”

Section: Enhancing the Optimization Of The Selection Of A Product Sermentioning

confidence: 99%

Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework

2020

SV-JME

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A product service system (PSS) has been developed for manufacturing enterprises to provide users with personalized products and services. The optimization of PSS scheme selection is a key stage in the PSS design phase. Given the dynamic characteristics of the multi-dimensional influencing factors and their coupling relationships, we propose a digital twin-driven framework to enhance the optimization of PSS scheme selection. The framework is divided into a digital twin layer, an information layer, and an approach layer. The logical relationship between the three layers is given, and a quantitative PSS scheme selection optimization mechanism is designed. Fuzzy numbers and rough boundary intervals are integrated for the attribute value determination of the PSS scheme. A modified TOPSIS developed by replacing Euclidean distance with relational vector distance is adopted for the PSS scheme assessment. A case of an air purification PSS scheme selection optimization under the proposed digital twin driven framework is studied. It is shown that the designed PSS scheme selection optimization mechanism is effective and can be enhanced with the presented framework.

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Analysis of EDM Process Parameters on Inconel 718 Using the Grey-Taguchi and Topsis Method

Cited by 14 publications

References 15 publications

Experimental Investigation of the Micro-hardness of EN-31 Die Steel in a Powder-Mixed Near-Dry Electric Discharge Machining Method

Experimental Investigation of the Micro-hardness of EN-31 Die Steel in a Powder-Mixed Near-Dry Electric Discharge Machining Method

Optimization of Turning Parameters of Cryogenic Soaked AZ91 Magnesium Alloy using TOPSIS coupled Taguchi Technique

Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework

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