Analysis of two soft computing modeling methodologies for predicting thickness loss of persian hand-knotted carpets

Moghassem, A. R.; Gharehaghaji, Ali Akbar; Najar, Saeed Shaikhzadeh

doi:10.1007/s12221-012-0675-x

Cited by 10 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The conclusion is that the thickness loss of polypropylene carpets with hollow piles is higher than carpets with trilobal piles. Moghassem et al 11 investigated the relationship between the factors affecting the thickness loss performance of Persian hand-knotted carpets. In order to optimize the carpet quality, Gene Expression Programming (GEP) algorithm and artificial neural network (ANN) model were used.…”

Section: Introductionmentioning

confidence: 99%

A variable loading and automatic control test device for carpet resilience measurement

Çelik

Kaynak

Şahin

et al. 2023

Journal of Industrial Textiles

View full text Add to dashboard Cite

In this study, a novel multifunctional carpet test device was proposed to overcome deficiencies of current technology, including manual operation error and fixed load. The newly developed test device can automatically perform short-term static loading, long-term static loading and thickness measurement on five samples, simultaneously. The application of the load is achieved by using pneumatic system elements and automation of the developed test device is obtained by a PLC (Programmable Logic Controller) software. The device was verified according to “trueness” and “precision” criteria via statistical analyses. As a result of trueness determination, the Mean Absolute Percentage Error (MAPE) values of the developed test device were between 0.001–0.023, in comparison to that of the traditional carpet thickness tester, which exhibits very close trend between two measurements. The precision analysis results revealed no significant difference in 95% confidence interval between developed test device and the carpet thickness tester. Moreover, the developed test device is capable for thickness loss test by brief moderate loading, prolonged heavy loading and carpet thickness measurement, following related international standards.

show abstract

Section: Introductionmentioning

confidence: 99%

A variable loading and automatic control test device for carpet resilience measurement

Çelik

Kaynak

Şahin

et al. 2023

Journal of Industrial Textiles

View full text Add to dashboard Cite

show abstract

“…For instance, some researchers investigated the thickness loss under dynamic and static loading [4][5][6][7] while others studied the carpet performance under short and long term static loading [8][9][10][11]. Additionally, in the literature there are many studies on mechanical, physical and appearance properties of carpet [12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of an Innovative Test Device Capable of Automatically Performing Carpet Static Loading Tests

ALSAYED¹,

Kaynak²,

Çelik³

2022

Tekstil Ve Konfeksiyon

View full text Add to dashboard Cite

The resistance of carpets to texture deformation is considered one of the most important properties that affects the quality of carpet. Static load is an essential factor that has a profound impact on carpets causing compression of carpet pile yarns. Mainly, two tests are available to test the performance of carpets in terms of compressibility and resilience, including thickness loss after brief moderate static loading and thickness loss after prolonged heavy static loading. Currently, the commercially available test devices have drawbacks, including a requirement for an additional apparatus to test performance, conducting tests manually which leads to personal faults, and inability of storing test data. In this study, a newly developed test device for measuring compressibility and resilience performance of carpet was designed and manufactured. The newly designed test device is statistically verified and capable of performing carpet thickness measurement, brief moderate static loading and prolonged heavy static loading tests automatically.

show abstract

“…Some of them were accomplished in different fields of textile science and engineering. [30][31][32][33][34][35][36][37][38][39][40] Among modeling research studies, a semi-experimental fuzzy logic model has been implemented to predict acrylic cut-pile carpet thickness-loss under compression for carpet pile density, pile height, and pile yarn count, recently. 41 In this model, experimental data have been used for both construction of model knowledge base and model precision assessment.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic model expansion and optimization for predicting polyester cut-pile carpet thickness-loss

Javidpanah

Najar

Dayiary

et al. 2022

Journal of Industrial Textiles

View full text Add to dashboard Cite

Thickness-loss is the most common problem in carpet after static and dynamic loading. Pile yarn properties as well as carpet structural parameters are mainly responsible for carpet thickness-loss. In the present research, an advanced version of recently developed fuzzy logic model is introduced. The model is able to predict thickness-loss of polyester carpets based on carpet pile density, pile height, and pile yarn count. Experimental work was performed to provide data for model knowledge base. Genetic algorithm was employed to optimize the fuzzy logic model parameters. Finally, lowest possible thickness-loss value together with corresponding values of carpet and pile yarn parameters bring this result was defined, using developed model. Modeling results showed that the model attained correlation coefficients as 0.9932, 0.9911, 0.9950, and 0.9957 between predicted and experimental values of carpet thickness-loss after low and high dynamic loading and static loading with short and long relaxation times, respectively. On the other hand, model predictions in four new unsighted conditions have brought correlation coefficients as 0.82, 0.89, 0.88, and 0.90 for low and high dynamic loading and static loading after short and long relaxation times, respectively. These results denote acceptable reliability of new developed model. Eventually, it is defined that levels of 850, 7.5, and 957.5 for carpet pile density, pile height, and pile yarn linear density, respectively, bring minimum carpet thickness-loss.

show abstract

Analysis of two soft computing modeling methodologies for predicting thickness loss of persian hand-knotted carpets

Cited by 10 publications

References 19 publications

A variable loading and automatic control test device for carpet resilience measurement

A variable loading and automatic control test device for carpet resilience measurement

Design and Development of an Innovative Test Device Capable of Automatically Performing Carpet Static Loading Tests

Fuzzy logic model expansion and optimization for predicting polyester cut-pile carpet thickness-loss

Contact Info

Product

Resources

About