A research on the cutting database system based on machining features and TOPSIS

Peng, Chong; Du, Hanheng; Liao, T. Warren

doi:10.1016/j.rcim.2015.10.011

Cited by 33 publications

(9 citation statements)

References 20 publications

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“…When decision problems involve large numbers of attributes and alternatives, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is the preferred method, especially when objective or quantitative data are available [34]. It is also one of the most famous MADA tools in dealing with multi-attribute or multi-criteria decision-making problems in the real world, and its high flexibility enables it to be efficiently applicable in diverse situations [35]. Therefore, this study proposed entropy weight method based TOPSIS for the optimization of influent feeding for the SBR.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the step feeding ratio for nitrogen removal by SBR using technique for order preference by similarity to ideal solution (TOPSIS)

Mang

Hwang

Lee

2021

Environmental Engineering Research

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The performance of nitrogen (N) removal was investigated by altering the influent step feeding in a sequencing batch reactor (SBR). The optimum condition for influent step feeding was analyzed using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with entropy weight method, considering the C/N ratio range 1.5 to 4.5. The results showed that the SBR with the multi-step-feeding system achieved a high nitrogen removal rate of 92.7% at the three-step influent feeding mode. Nitrogen removal was significantly improved due to the multi-step influent feeding, which provided the required carbon source in the anoxic phase for the removal of nitrate that enhanced the denitrification process. The highest nitrogen removal rate at real-time operation was observed at the three-step feeding mode with 60% primary feeding, 30% secondary feeding, and 10% tertiary feeding, respectively. TOPSIS analysis results also showed that the optimum step feeding ratio was identical to the real-time operation of the SBR.

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Section: Introductionmentioning

confidence: 99%

Optimization of the step feeding ratio for nitrogen removal by SBR using technique for order preference by similarity to ideal solution (TOPSIS)

Mang

Hwang

Lee

2021

Environmental Engineering Research

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“…To overcome this, multi-criteria decisionmaking process is adopted [9,18]. Peng et al [19] adopted TOPSIS to find the ideal condition for machining for the traditional cutting database. Chandrasekhara Sastry et al [18] carried out TOPSIS in boring operation of AA 7075 under dry, wet and cryogenic mediums to study the secondary operations and how it affects the hole parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, GRA and GA (Genetic algorithm) was adopted for EDM process parameters to study the performance characteristics for MRR and TWR [21,22]. TOPSIS was adopted compared to other multi-criteria decision-making process, as it is easy to use, adopt for any sort of problem providing a close to ideal solution for the same [9,[18][19][20]. In this work, experimental work is carried out on superalloys (Ti-6Al-4V and Inconel 718) using brass and copper electrodes (produce a high aspect ratio of 50:1) by rapid-EDM.…”

Section: Introductionmentioning

confidence: 99%

Analysis of high aspect ratio small holes in rapid electrical discharge machining of superalloys using Taguchi and TOPSIS

Rajamanickam

Prasanna

Sastry

2020

J Braz. Soc. Mech. Sci. Eng.

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The main aim of this paper is to perform high aspect ratio small holes using rapid electrical discharge machining (rapid-EDM) of superalloys, namely Ti-6Al-4V and Inconel 718 with the tool materials like brass tubes and copper tubes. For employing the above-said materials, the performance characteristics such as material removal rate (MRR), tool wear rate (TWR) and overcut (OC) have been studied. In these investigations, DOE-Taguchi's L9 orthogonal array has been utilized to build an experimental layout with the machining parameters such as current, on-time, off-time and capacitance. From the analysis, it is confirmed that there was a 40% increase in MRR, 282% decrease in TWR and 56% decrease in OC for rapid-EDM of Ti-6Al-4V material using the brass tubes than the copper tubes. Further, it is also validated that there is a 61% increase in MRR, 6% drop of TWR and 33% increase in OC for rapid-EDM of Inconel 718 material using brass tubes than the copper tubes. So, this comparative study has concluded that the machining of Ti-6Al-4V using brass tube has produced a maximum of MRR and minimum of TWR and OC. In Taguchi analysis, the individual effect of machining parameters on MRR, TWR and OC was studied. In addition, optimum combinations of machining parameters for MRR, TWR and OC were also discussed. Furthermore, multi-objective optimization was executed using TOPSIS to find good combination of machining parameters.

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“…It is used for selecting the best alternative. In TOPSIS, distances to the positive and negative ideal solution are calculated instantaneously to determine the ranking order of all alternatives [44,45]. It is a very useful technique for dealing with real world multicriteria decision-making problems.…”

Section: Introductionmentioning

confidence: 99%

A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines

Rauf

Guan

Sarfraz

et al. 2020

Robotics and Computer-Integrated Manufacturing

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Assembly Lines (ALs) are used for mass production as they offer lots of advantages over other production systems in terms of lead time and cost. The advent of mass customization has forced the manufacturing industries to update to Mixed-Model Assembly Lines (MMALs) but at the cost of increased complexity. In the real world, industries need to determine the sequence of models based on various conflicting performance measures/criteria. This paper investigates the Multi-Criteria Model Sequencing Problem (MC-MSP) using a modified simulation integrated Smart Multi-Criteria Nawaz, Enscore, and Ham (SMC-NEH) algorithm. To address the multiple criteria, a modified simulation integrated Smart Multi-Criteria Nawaz, Enscore, and Ham (SMC-NEH) algorithm was developed by integrating a priori approach with NEH algorithm. Discrete Event Simulation (DES) was used to evaluate each solution. A mathematical model was developed for three criteria: flow time, makespan and idle time. Further, to validate the effectiveness of the proposed SMC-NEH a case study and Taillard's benchmark instances were solved and a Multi-Criteria Decision-Making (MCDM) analysis was performed to compare the performance of the proposed SMC-NEH algorithm with the traditional NEH algorithm and its variants. The results showed that the proposed SMC-NEH algorithm outperformed the others in optimizing the conflicting multi-criteria problem.

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A research on the cutting database system based on machining features and TOPSIS

Cited by 33 publications

References 20 publications

Optimization of the step feeding ratio for nitrogen removal by SBR using technique for order preference by similarity to ideal solution (TOPSIS)

Optimization of the step feeding ratio for nitrogen removal by SBR using technique for order preference by similarity to ideal solution (TOPSIS)

Analysis of high aspect ratio small holes in rapid electrical discharge machining of superalloys using Taguchi and TOPSIS

A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines

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