Multi-response optimization in the development of oleo-hydrophobic cotton fabric using Taguchi based grey relational analysis

Ahmad, Nauman; Kamal, Shahid; Raza, Zulfiqar Ali; Hussain, Tanveer; Anwar, Faiza

doi:10.1016/j.apsusc.2016.01.165

Cited by 49 publications

(22 citation statements)

References 27 publications

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“…where X is the M index raw data the solution I, namely X expresses the J parameter values, and we can get the index eigenvector matrix X of the n plan [6].…”

Section: Advances In Intelligent Systems Research Volume 134mentioning

confidence: 99%

Research and Optimization on Ticket Vending Machine Based on Human-computer Interaction

Zhou¹,

Wang²

2017

Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

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Abstract-This paper makes the subway automatic ticket machine as the research subject, presents the suggestion of conducting the research and optimization based on human-computer interaction. We establish evaluation model of user experience based on the survey, correlation analysis and factor analysis. Selecting the representative TVM scheme and quantize the indicators based on the evaluation model, the best scheme with the highest degree of user experience will be selected. Furthermore, this paper establishes and standardizes the evaluation element index matrix by using the Analytic Hierarchy Process(AHP)-Grey Relational Analysis(GRA) and compute the comprehensive correlation degree to determine the best solution. The TVM differences between China and Japan are analyzed based on the calculation results, and the suggestion on the user experience improvement is put forward.

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“…where X is the M index raw data the solution I, namely X expresses the J parameter values, and we can get the index eigenvector matrix X of the n plan [6].…”

Section: Advances In Intelligent Systems Research Volume 134mentioning

confidence: 99%

Research and Optimization on Ticket Vending Machine Based on Human-computer Interaction

Zhou¹,

Wang²

2017

Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

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“…In the current model, all the abrasives are considered to be identical in shape and size [19,28,64,68,69,70]. An abrasive particle is considered to be spherical but with local spherical bulges as shown in figure 3 The abrasive particles are characterized by the average grit diameter, d g [37,59,65,69,71,72].…”

Section: Traditional Ultrasonic Machiningmentioning

confidence: 99%

“…Thus an abrasive is characterized by µ and d g . During indentation by the abrasive grit onto the work-piece and the tool, the local spherical bulges contact the surfaces and the indentation process is characterized by d b rather than by d g [14,19,28,37,43,55,61,68,72,73]. Fig.…”

Section: Traditional Ultrasonic Machiningmentioning

confidence: 99%

“…4 shows the interaction between the abrasive grit and the work-piece and tool. As the indentation proceeds, the contact zone between the abrasive grit and work-piece is established and the same grows [15,37,48,68,69,70,73]. The contact zone is circular in nature and is characterized by its diameter '2x'.…”

Section: Traditional Ultrasonic Machiningmentioning

confidence: 99%

“…[65,66,67,69]. The main ingredient of glass is silica (sand) [68]. Many silica based glasses are exist such as container glass and ordinary glass, which are manufactured by specific type of soda-lime glass.…”

Section: Type Of Glass and Applicationmentioning

confidence: 99%

See 2 more Smart Citations

Mathematical Modeling for Material Removal and Optimization of Ultrasonic Drilling of Polycarbonate and Acrylic Glass for Surface Roughness by GRA Approach

Singh¹

2017

IJMEA

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Abstract:Polycarbonate bullet proof and acrylic heat resistant glasses are used as the functional material in many industrial application. In automobile industries, banks and cabins, polycarbonate bullet proof glass has been used for security purpose. Similarly, acrylic heat resistant glass is used in furnace, microwaves, space craft and airplane applications. In this experimental research paper, Taguchi modal and Grey relational analysis are utilized for the ultrasonic drilling in these materials. For experimentation, input parameters are concentration, abrasive, grit size, power rating, hydrofluoric acid and tool materials. Output parameters are material removal rate, tool wear rate and surface roughness. In which, surface roughness is most significant output parameter, because it describe accuracy of the process. Through optimization analysis, Taguchi modal suggest that 40% abrasive concentration, mixture of (Alumina, Silicon carbide and Boron carbide) abrasive in 1:1:1, 600 grit of abrasive and 1.5% hydrofluoric acid gives best results for drilling in polycarbonate bullet proof glass material. Similarly, in acrylic heat resistant glass, mixture of Silicon carbide and Boron carbide (1:1), 600 grit abrasive and 1% hydrofluoric acid gives the optimum results. Concentration of slurry, abrasive grit size and hydrofluoric acid are the most significant parameters for ultrasonic drilling in both materials. Through Grey relational analysis the surface roughness is improved by 40% and 48% in polycarbonate (UL-752) and acrylic (BS-476) glass respectively.

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Hydrophobic and Oleophobic Finishes for Textiles

Chirila

Danila

2021

Innovative and Emerging Technologies for Textile Dyeing and Finishing

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Multi-response optimization in the development of oleo-hydrophobic cotton fabric using Taguchi based grey relational analysis

Cited by 49 publications

References 27 publications

Research and Optimization on Ticket Vending Machine Based on Human-computer Interaction

Research and Optimization on Ticket Vending Machine Based on Human-computer Interaction

Mathematical Modeling for Material Removal and Optimization of Ultrasonic Drilling of Polycarbonate and Acrylic Glass for Surface Roughness by GRA Approach

Hydrophobic and Oleophobic Finishes for Textiles

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