Modelling the Effect of Resin-Finishing Process Variables on the Dimensional Stability and Bursting Strength of Viscose Plain Knitted Fabric Using a Fuzzy Expert System

The application of cross-linking resin is an effective method for improving and controlling dimensional sta¬bility, such as the shrinkage of viscose single jersey knits. However, such treatment often leads to a significant deterioration in the bursting strength of treated fabrics. In this regard, resin treatment using a softening agent can be an additional potential solution for retaining the bursting strength of treated fabrics. Resin treatment is one kind of chemical finishing process that inhibits cellulosic textile fibre swelling during wetting, provides fibre resistance to deformation and prevents shrinkage. The key objective of this study was to model the effect of resin-finishing process variables for predicting the shrinkage control and bursting strength of viscose single jersey knitted fabrics. The MATLAB (Version 8.2.0.701) fuzzy expert system was used to model the optimum resin and softener concentrations, as well as the best curing time for the prediction of maximum shrinkage control with a minimum loss in fabric bursting strength. The optimal process variables were found to be a resin concentration of 75 g/l, a softener concentration of 45 g/l and a curing time of 225 seconds. The fuzzy expert model developed in this study was validated using experimental data. It was found that the model has the ability and accuracy to predict fabric shrinkage and bursting strength effectively in the non-linear field.

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Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique

Advances in Fuzzy Systems ◽

10.1155/2016/3632895 ◽

2016 ◽

Vol 2016 ◽

pp. 1-9 ◽

Cited By ~ 4

Author(s):

Ismail Hossain ◽

Imtiaz Ahmed Choudhury ◽

Azuddin Bin Mamat ◽

Abdus Shahid ◽

Ayub Nabi Khan ◽

...

Keyword(s):

Experimental Data ◽

Mechanical Properties ◽

Expert System ◽

Prediction Model ◽

Fuzzy Model ◽

Absolute Error ◽

Coefficient Of Determination ◽

Fuzzy Expert System ◽

Knitted Fabrics ◽

Bursting Strength

The main objective of this research is to predict the mechanical properties of viscose/lycra plain knitted fabrics by using fuzzy expert system. In this study, a fuzzy prediction model has been built based on knitting stitch length, yarn count, and yarn tenacity as input variables and fabric mechanical properties specially bursting strength as an output variable. The factors affecting the bursting strength of viscose knitted fabrics are very nonlinear. Hence, it is very challenging for scientists and engineers to create an exact model efficiently by mathematical or statistical model. Alternatively, developing a prediction model via ANN and ANFIS techniques is also difficult and time consuming process due to a large volume of trial data. In this context, fuzzy expert system (FES) is the promising modeling tool in a quality modeling as FES can map effectively in nonlinear domain with minimum experimental data. The model derived in the present study has been validated by experimental data. The mean absolute error and coefficient of determination between the actual bursting strength and that predicted by the fuzzy model were found to be 2.60% and 0.961, respectively. The results showed that the developed fuzzy model can be applied effectively for the prediction of fabric mechanical properties.

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A FUZZY EXPERT SYSTEM FOR SOLVING REAL-OPTION DECISION PROCESSES

FUZZY ECONOMIC REVIEW ◽

10.25102/fer.2001.02.04 ◽

2001 ◽

Vol 06 (02) ◽

Cited By ~ 1

Author(s):

C.A Magni ◽

G. Mastroleo ◽

G. Facchinetti

Keyword(s):

Expert System ◽

Real Option ◽

Decision Processes ◽

Fuzzy Expert System

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The Design of Fuzzy Expert System Implementation for Analyzing Transmissible Disease of Human

International Journal of Pharmaceutical Research ◽

10.31838/ijpr/2018.10.04.011 ◽

2018 ◽

Vol 10 (04) ◽

Cited By ~ 1

Keyword(s):

Expert System ◽

Fuzzy Expert System ◽

System Implementation ◽

Transmissible Disease

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Contribution to the Research and Development of Radiation Chambers in Steam Reforming. Problem-Oriented Application of a Fuzzy Expert System

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19922125 ◽

1992 ◽

Vol 57 (10) ◽

pp. 2125-2134 ◽

Cited By ~ 1

Author(s):

Petr Stehlík ◽

František Babinec

Keyword(s):

Carbon Dioxide ◽

Mathematical Model ◽

Expert System ◽

Service Life ◽

Research And Development ◽

Steam Reforming ◽

Methane Conversion ◽

Chemical Processes ◽

Fuzzy Expert System ◽

Present Contribution

An application of a fuzzy expert system intended for estimating some parameters of steam reforming can also be one of the examples of an ever increasing utilization of expert systems in practice. The present contribution deals with the method making use of a verified mathematical model for simulating thermal chemical processes in reforming furnace radiation chamber in order to create knowledge base. This base includes linguistic values of selected independent and dependent variable quantities. Examples given illustrate an evaluation of dependent variable quantities (methane conversion into carbon dioxide and monoxide, reaction tube service life) by means of the said expert system based on queries.

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