Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique
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 mechani...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2016
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/17513/1/HossainI_%282016%29.pdf |
| _version_ | 1796947162349699072 |
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| author | Hossain, I. Choudhury, I.A. Mamat, A. Shahid, A. Khan, A.N. Hossain, A. |
| author_facet | Hossain, I. Choudhury, I.A. Mamat, A. Shahid, A. Khan, A.N. Hossain, A. |
| author_sort | Hossain, I. |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:42:44Z |
| format | Article |
| id | um.eprints-17513 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:42:44Z |
| publishDate | 2016 |
| publisher | Hindawi Publishing Corporation |
| record_format | dspace |
| spelling | um.eprints-175132017-07-14T06:22:03Z http://eprints.um.edu.my/17513/ Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique Hossain, I. Choudhury, I.A. Mamat, A. Shahid, A. Khan, A.N. Hossain, A. TJ Mechanical engineering and machinery 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. Hindawi Publishing Corporation 2016 Article PeerReviewed application/pdf en http://eprints.um.edu.my/17513/1/HossainI_%282016%29.pdf Hossain, I. and Choudhury, I.A. and Mamat, A. and Shahid, A. and Khan, A.N. and Hossain, A. (2016) Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique. Advances in Fuzzy Systems, 2016. pp. 1-9. ISSN 1687-7101, DOI https://doi.org/10.1155/2016/3632895 <https://doi.org/10.1155/2016/3632895>. http://dx.doi.org/10.1155/2016/3632895 doi:10.1155/2016/3632895 |
| spellingShingle | TJ Mechanical engineering and machinery Hossain, I. Choudhury, I.A. Mamat, A. Shahid, A. Khan, A.N. Hossain, A. Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique |
| title | Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique |
| title_full | Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique |
| title_fullStr | Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique |
| title_full_unstemmed | Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique |
| title_short | Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique |
| title_sort | predicting the mechanical properties of viscose lycra knitted fabrics using fuzzy technique |
| topic | TJ Mechanical engineering and machinery |
| url | http://eprints.um.edu.my/17513/1/HossainI_%282016%29.pdf |
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