Selection of an ideal MQL-assisted milling condition: an NSGA-II-coupled TOPSIS approach for improving machinability of Inconel 690

Sen, Binayak; Hussain, Syed Abou Iltaf; Mia, Mozammel; Mandal, Uttam Kumar; Mondal, Sankar Prasad

doi:10.1007/s00170-019-03620-6

Cited by 40 publications

(7 citation statements)

References 33 publications

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Order By: Relevance

“…The implementation of TOPSIS [18,19,20,21,22] as a basic algorithm in this study has the following steps and the manual calculation will be described in the next section:…”

Section: Fig 1 Decision Support Systemmentioning

confidence: 99%

TOPSIS for mobile based group and personal decision support system

Dewi

Jonemaro

Kharisma

et al. 2021

regist. j. ilm. teknol. sist. inf.

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Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an algorithm that can be used for alternative design in a decision support system (DSS). TOPSIS provides recommendation so that users can get information that support their decision, for example a tourist wants to visit a tourist destination in Malang, then TOPSIS provides recommendations of tourist destinations in the form of ranking recommendation, with the highest rank is the most recommended recommendation. TOPSIS-based Mobile Decision Support System (DSS) has relatively low algorithm complexity. However, there are some cases that require development from personal DSS to group DSS, for example tourists rarely come alone, in which case most of them invite friends or family. For users who are more than 1 person, the TOPSIS algorithm can be combined with the BORDA algorithm. This study explains about the implementation & testing of TOPSIS and TOPSIS-BORDA as algorithms for personal and group DSS in mobile-based tourism recommendation system in Malang. Correlation testing was conducted to test the effectiveness of TOPSIS in mobile-based recommendation system. In previous study, correlation testing for personal DSS showed that there was a relationship between the recommendation and user choice, with correlation value of 0.770769231. In this study, correlation testing for group DSS showed there is a positive correlation of 0.88 between the recommendations of the group produced by TOPSIS-BORDA and personal recommendations for each user produced by TOPSIS.

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“…The implementation of TOPSIS [18,19,20,21,22] as a basic algorithm in this study has the following steps and the manual calculation will be described in the next section:…”

Section: Fig 1 Decision Support Systemmentioning

confidence: 99%

TOPSIS for mobile based group and personal decision support system

Dewi

Jonemaro

Kharisma

et al. 2021

regist. j. ilm. teknol. sist. inf.

View full text Add to dashboard Cite

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“…The result of this study depicted that the tool life can be increased up to 177% using vegetable oil as a lubricant. Sen et al [48] showed the benefits of applying MQL with vegetable oil, and the advanced modeling technique to establish a beneficial manufacturing system. Ojolo et al [49] performed an experimental work to find out the influences of vegetable oil viz.…”

Section: Performance Of Vegetable Oils In Mql Assisted Machiningmentioning

confidence: 99%

Eco-Friendly Cutting Fluids in Minimum Quantity Lubrication Assisted Machining: A Review on the Perception of Sustainable Manufacturing

Sen

Mia

Królczyk

et al. 2019

Int. J. of Precis. Eng. and Manuf.-Green Tech.

Self Cite

206

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In modern days, the conception of sustainability has progressively advanced and has begun receiving global interest. Thus, sustainability is an imperative idea in modern research. Considering the recent trend, this review paper presents a summary of the previously published research articles on minimum quantity lubrication (MQL) assisted machining. The requirement to stir towards sustainability motivated the researchers to revise the effects of substitute lubrication methods on the machining. Conventional lubri-cooling agents are still extensively employed when machining of engineering alloys, but the majority of the recent papers have depicted that the utilization of vegetable oil, nanofluids, and nanoplatelets in MQL system confers superior machining performances as compared to conventional lubrication technology. In actual, the definite principle of this manuscript is to reexamine modern advancements in the MQL technique and also explore the benefits of the vegetable oil and nanofluid as a lubricant. In brief, this paper is a testimony to the advancing capabilities of eco-friendly MQL technique which is a viable alternative to the flood lubrication technology, and the outcomes of this review work can be contemplated as a movement towards sustainable machining.

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“…Excluding the lubricant usage can be carried out using dry cutting's concept, which has gained attention from research community in the past. However, it has its own machining limitations such as excessive tool wear, heat dissipation and poor surface integrity, especially in the case of hard-to-cut materials [4]. These drawbacks led the researchers to explore another conscious strategy known as MQL in the recent past.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of MQL performances using various nanofluids in turning of AISI 304 stainless steel

Touggui

Uysal

Emiroglu

et al. 2021

Int J Adv Manuf Technol

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In recent years, the need for eco-friendly machining processes has increased dramatically in order to limit the excessive use of conventional cutting fluids, thereby reducing their negative effects on both environment and operator's health. In this context, dry cutting, minimum quantity lubrication (MQL) and nanofluid assisted MQL, as environmentally alternatives, have been positively shown their significance to overcome this problem. This experimental study was conducted from the perspective of performance analysis of machining characteristics in turning of AISI 304 austenitic stainless steel (ASS) under dry, MQL and nanofluids and hybrid nanofluids assisted MQL conditions with consideration of surface roughness (Ra), main cutting forces (Fc) and cutting temperature (T). In preparing the nanofluids, nano Molybdenum disulfide (MoS2), Multi-walled carbon nanotube (MWCNT) and nano graphene particles were added to the commercial vegetable cutting fluid as additives. Additionally, the effects of lubricating conditions on flank wear (VB) were investigated. In the end, statistical analysis, regression modeling and multi-criteria optimization based desirability function were performed. The results revealed that the Ra, Fc and T as well as VB were found to be lower with the use of nano graphene reinforced nanofluid assisted MQL followed by nano graphene/MoS2 reinforced hybrid nanofluid assisted MQL, MWCNT/MoS2 reinforced hybrid nanofluid assisted MQL, MWCNT reinforced nanofluid assisted MQL, nano MoS2 reinforced nanofluid assisted MQL and MQL, respectively, as compared to dry condition. Finally, it is worth mentioning that the nano graphene has the capability to perform as lubricant/coolant, thus contributing positively to the turning process.

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Selection of an ideal MQL-assisted milling condition: an NSGA-II-coupled TOPSIS approach for improving machinability of Inconel 690

Cited by 40 publications

References 33 publications

TOPSIS for mobile based group and personal decision support system

TOPSIS for mobile based group and personal decision support system

Eco-Friendly Cutting Fluids in Minimum Quantity Lubrication Assisted Machining: A Review on the Perception of Sustainable Manufacturing

Evaluation of MQL performances using various nanofluids in turning of AISI 304 stainless steel

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