A hybrid MCDM approach for parametric optimization of a micro-EDM process

Das, Partha Protim; Tiwary, A. P.; Chakraborty, Shankar

doi:10.1007/s12008-022-00869-2

Cited by 16 publications

(1 citation statement)

References 36 publications

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“…CNC turning parameters were optimized using six MCDM methods (i.e., WASPAS, EDAS, TOPSIS, MOORA, VIKOR, and MABAC) in a fuzzy environment [15]. Furthermore, MCDM techniques were successfully applied to optimize the drilling process of multiwall carbon nanotube/epoxy nanocomposites by [16], machinability of Nimonic C-263 superalloy by [17], machining AISI O1 tool steel by [18], a micro-electrical discharge machining process by [19], drilling parameters of glass fiber reinforced polymer by [20], cutting parameters in milling processes by [21], and milling parameters of aluminum 1100 alloy by [22]. On the other hand, reliable and accurate decisions were aimed for in material selection problems by using MCDM methods.…”

Section: Introductionmentioning

confidence: 99%

Polymeric Materials Selection for Flexible Pulsating Heat Pipe Manufacturing Using a Comparative Hybrid MCDM Approach

Ordu

Der

2023

Polymers

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The right choice of polymeric materials plays a vital role in the successful design and manufacture of flexible fluidic systems, as well as heat transfer devices such as pulsating heat pipes. The decision to choose an acceptable polymeric material entails a variety of evaluation criteria because there are numerous competing materials available today, each with its own properties, applications, benefits, and drawbacks. In this study, a comparative hybrid multi-criteria decision-making (MCDM) model is proposed for evaluating suitable polymeric materials for the fabrication of flexible pulsating heat pipes. The decision model consists of fourteen evaluation criteria and twelve alternative materials. For this purpose, three different hybrid MCDM methods were applied to solve the material selection problems (i.e., AHP-GRA, AHP-CoCoSo, and AHP-VIKOR). According to the results obtained, PTFE, PE, and PP showed promising properties. In addition, Spearman’s rank correlation analysis was performed, and the hybrid methods used produced consistent rankings with each other. By applying MCDM methods, it was concluded that PTFE is the most suitable material to be preferred for manufacturing flexible pulsating heat pipes. In addition to this result, PE and PP are among the best alternatives that can be recommended after PTFE. The study supports the use of MCDM techniques to rank material choices and enhance the selection procedure. The research will greatly assist industrial managers and academics involved in the selection process of polymeric materials.

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Section: Introductionmentioning

confidence: 99%

Polymeric Materials Selection for Flexible Pulsating Heat Pipe Manufacturing Using a Comparative Hybrid MCDM Approach

Ordu

Der

2023

Polymers

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Current and Future Challenges of Hybrid Electrochemical-Mechanical Machining Process for Micro- and Nano-Manufacturing

Jamaludin,

Mhd Razali,

Nor Hamran

et al. 2024

Springer Proceedings in Materials

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An analysis to enhance the machining performance of micro-EDM for drilling of blind micro-hole using ANN

Pratap,

Upadhyay,

Sharma

et al. 2023

Int J Adv Manuf Technol

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The high demand for compact and multitasking devices in the market has been a driving force behind the growing interest in microfabrication techniques. These techniques have wide-ranging applications in many industries, including aerospace, automobile, electronics, and defense. Micro electrical discharge machining (µEDM) techniques have the unique ability to produce highly precise and intricate features on small components, which has further fueled the demand for such products. However, with the increasing demand for micro-featured products, there is a pressing need to enhance the process capability of µEDM process. This work aims to address this need by focusing on enhancing the performance of µEDM by varied process parameters and materials such as copper, brass, and tungsten carbide for the drilling of blind micro holes. Surface roughness (SR) and material removal rate (MRR) are the main performance factors taken into account in this investigation. Notably, the minimum SR was achieved on tungsten carbide, while the maximum MRR was achieved using copper electrodes. For SR and MRR, arti cial neural network (ANN) models have been constructed that predict with more than 90% accuracy. These ndings have signi cant implications for the future of microfabrication using µEDM.

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A hybrid MCDM approach for parametric optimization of a micro-EDM process

Cited by 16 publications

References 36 publications

Polymeric Materials Selection for Flexible Pulsating Heat Pipe Manufacturing Using a Comparative Hybrid MCDM Approach

Polymeric Materials Selection for Flexible Pulsating Heat Pipe Manufacturing Using a Comparative Hybrid MCDM Approach

Current and Future Challenges of Hybrid Electrochemical-Mechanical Machining Process for Micro- and Nano-Manufacturing

An analysis to enhance the machining performance of micro-EDM for drilling of blind micro-hole using ANN

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