The data contains simulation models for garment assembly line: Simulation base model, simulation ... more The data contains simulation models for garment assembly line: Simulation base model, simulation metamodel and simulation optimal design model. Simulation experimental data and processing time data for trouser assembly line were also included. This research aimed at designing an optimal trouser assembly line with the parameters' setting that maximizes the production throughput without violating the set constraints. Simulation model was developed using Arena simulation software (Academic research version 16). Simulation data for sixteen generated design alternatives was also presented. The data for optimization process performed with Optquest for Arena was also included. Discrete-event simulation developed on Arena simulation software is suitable for giving an insight of garment assembly line and optimization process performed with Optquest for Arena is suitable for achieving its optimal design. Optimization via experimental design (metamodel) results into high increase in produc...
Some of the synthetic dyes and mordants are harmful to the environment. The aim of this research ... more Some of the synthetic dyes and mordants are harmful to the environment. The aim of this research was to study the dyeing of cotton fabric using extracts from wild leek (Allium burdickii). The bark of mango tree was used as a mordant. The pre-mordanting method was used and four treatments were investigated with respect to exhaustion of the dye. These were: temperature, time, pH and concentration of mordant. Dye exhaustion for 27 experiments was investigated by comparing the relationship between the independent and dependent variables. The regression model obtained from the interactions was significant with an R2 value of 0.611. The effect of pH was insignificant while all the other three variables significantly influenced exhaustion of dye. The optimised conditions for temperature, time and concentration of mordant were: 600C, 90 minutes and 28.18% owf, respectively. The fabrics showed acceptable fastness properties ranging from 2/3-4/5 (fair to very good), 1.2-4 (slightly considerab...
An Elman network model was trained using Fletcher-Reeves Update training algorithm, and used to p... more An Elman network model was trained using Fletcher-Reeves Update training algorithm, and used to predict the tensile strength of cotton yarns. The cotton yarn samples (consisting of rotor and ring spun yarns) were collected from four textile factories in Kenya. The inputs ofthe network were the HVI characteristics of the cotton lint used to spin the yarns together with the fineness (Tex) andTwist per Inch (TPI) of the yarn samples. The output of the network was yarn tensile strength. The Elman network predicted the yarn tensile strength with a mean squared error (mse) of 0.0156 and a correlation coefficient between the network outputs and the targeted values (R-value) of 0.974. Keywords: Cotton fibers, HVI characteristics,cotton yarn, Elman network, ring and rotor spun yarns, Fletcher- Reeves Update
The nascent wave of disruptive competition in the current business environment brought about by t... more The nascent wave of disruptive competition in the current business environment brought about by the fourth industrial revolution (Fashion 4.0 or Apparel 4.0) is enormous. Therefore, it is paramount important to apparel industry to be flexible enough to respond quickly to the unstable customers’ demand through continuous improvement of their process efficiency and productivity. This study aims at achieving an optimal trouser assembly line balancing using simulation-based optimization via design of experiment. The empirical study is conducted at Southern Range Nyanza Limited (NYTIL) garment facility and a complex trouser assembly line with 72 operations is considered. The discrete event simulation of the trouser assembly line is developed using Arena simulation software. The local optimal solution is obtained from simulation experimentation and is adopted for the optimization process. The OptQuest tool is utilized to solve a single objective function (throughput) optimization problem. The results show that average throughput increases from the existing design (490 pieces per day) to local optimal design (638) and global optimal design (762). Consequently, the line efficiency increases from 61.2% to 79.7% to 95.2% respectively. The high increase in line efficiency and average throughput confirms the suitability assembly line balancing using simulation-based optimization via design of experiment.
The textile industry has had its share of problems in the last decade. One of the remedial action... more The textile industry has had its share of problems in the last decade. One of the remedial actions proposed by the Government is to improve the competitiveness of the textile sector by reducing the cost of doing business. Given that the Kenyan factories have to pay higher rates than their competition, for electricity, transport and labor, any effort taken to reduce the cost of running a textile process will be a boast to the industry. Furthermore vision 2030, envisages an increase in the manufacturing sector in Kenya. Therefore, the local production of cotton desizing enzyme will no doubt be a contribution to the industrialization process. It was with the aforementioned reasons in mind that a study of the performance of a locally produced enzyme during desizing was undertaken. The challenges reported during the use of the locally produced enzyme included the inability to determine the concentration of the enzyme. This paper reports the use of spectrophotometer to study the concentra...
The textile industry has been identified as one of the key industries which could spur industrial... more The textile industry has been identified as one of the key industries which could spur industrial growth in Kenya. Efforts are being made by the Kenyan government and other institutions to revive the textile industry. One area which could contribute towards the revival of the Kenyan Textile industry could be the optimization of the cotton processing in Kenya. Cotton processing includes ginning, spinning, weaving and wet processing. In cotton spinning, the Kenyan industry uses ring and rotor spinning technologies. While ring spinning is the traditional spinning process, rotor spinning has established itself as a great competitor especially when dealing with course counts. This paper looks at the quality of cotton rotor spun yarns, in comparison with the uster standards. While the Kenyan cotton lint reported good quality characteristics when compared to Uster standards, the quality of the rotor spun yarn was poor especially for yarn evenness and hairiness. It is therefore recommended ...
A rising number of pets and the increasing market for pet products in China has necessitated a st... more A rising number of pets and the increasing market for pet products in China has necessitated a study into the consumer attitude and involvement towards pet apparel. A survey on the consumer attitude and involvement towards pet apparel was carried out. A total of 166 Chinese, 69 Americans and 114 other foreigners respondents were involved in the study. The other foreigners were of several nationalities which included Romania, Canada, Italy, Australia, Japan, Singapore and Zambia. The data collected in this research indicated that for the non-Chinese consumers, gender, age and income did not affect the purchase of pet apparel. For the Chinese consumers, the results showed that while gender and income did not affect the purchase of pet apparel, age of the consumer however affected the purchase of pet apparel. The results of the research indicated that the attitude of the Chinese consumer towards pet apparel is driven by fashion and aesthetic properties (fun) while that of the non-Chine...
The nascent wave of disruptive competition in the current business environment brought about by t... more The nascent wave of disruptive competition in the current business environment brought about by the fourth industrial revolution (Fashion 4.0 or Apparel 4.0) is enormous. Therefore, it is paramount important to apparel industry to be flexible enough to respond quickly to the unstable customers' demand through continuous improvement of their process efficiency and productivity. This study aims at achieving an optimal trouser assembly line balancing using simulation-based optimization via design of experiment. The empirical study is conducted at Southern Range Nyanza Limited (NYTIL) garment facility and a complex trouser assembly line with 72 operations is considered. The discrete event simulation of the trouser assembly line is developed using Arena simulation software. The local optimal solution is obtained from simulation experimentation and is adopted for the optimization process. The OptQuest tool is utilized to solve a single objective function (throughput) optimization problem. The results show that average throughput increases from the existing design (490 pieces per day) to local optimal design (638) and global optimal design (762). Consequently, the line efficiency increases from 61.2% to 79.7% to 95.2% respectively. The high increase in line efficiency and average throughput confirms the suitability assembly line balancing using simulation-based optimization via design of experiment.
International Journal of Computational and Experimental Science and Engineering, 2018
Production of better yarns in terms of uniformity is every spinner's goal since yarns with a larg... more Production of better yarns in terms of uniformity is every spinner's goal since yarns with a large number of irregularities and defects reduces the market value of the end product. This study aimed at studying the influence of count, twist, opening roller speed and rotor speed on the number of thin and thick places formed in 100% cotton rotor spun yarns using statistical techniques. The results obtained in this research work indicated that increase in count increased thin and thick places in the yarns. With twist and opening roller speed, thin and thick places were reduced up to a certain value and then started to increase. Count 15Ne, twist multiplier of 5TM, opening roller speed of 8000 rpm and rotor speed of 90,000rpm gave the lowest number of thin and thick places/km formed in the resulting yarns.
Moisture transportation through fabrics is one of the important parameters which affect clothing ... more Moisture transportation through fabrics is one of the important parameters which affect clothing comfort. The combination of different factors which include fiber, yarn and fabric structure will yield varying degrees of clothing comfort. This research work concentrated on the use of viscose fibers spun on the vortex spinning system. Six knitted fabric samples were produced and tested for moisture transportation characteristics, which included air and water moisture permeability. The results indicate that all structures had high wicking levels in the wale than in the course direction. Similarly, all fabrics had poor drying abilities, but good water vapor permeability. There was a good correlation between air permeability and water vapor permeability of the fabrics. This was attributed to the fiber in the yarn not the fabric structure.
Cotton from the three cotton growing regions of Uganda was characterized for 13 quality parameter... more Cotton from the three cotton growing regions of Uganda was characterized for 13 quality parameters using the High Volume Instrument (HVI). Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC) and k-means clustering were used to model cotton quality parameters. Using factor analysis, cotton yellowness and short fiber index were found to account for the highest variability. At 5% significance level, the highest correlation (0.73) was found between short fiber index and yellowness. Based on Cotton Outlook's world classification and USDA Standards, the cotton under test was deemed of high and uniform quality, falling between Middling and Good Middling grades. Our suggested classification integrates all lint quality parameters, unlike the traditional methods that consider selected parameters. 摘要 从乌干达三棉产区棉花的特点 13 质量参数使用高容量仪器(HVI)。主成 分分析(PCA)，凝聚层次聚类(AHC)和 k 均值聚类模型用于棉花质量 参数。采用因子分析、棉花枯黄、短纤维指数都占最高的变异。在 5% 的 显著水平的相关性最高(0.73)发现短纤维指数和黄色之间。根据棉花展 望世界分类标准和美国农业部标准，被测棉花质量高，质量均匀，中等和 中高档之间。我们建议的分类集成所有皮棉质量参数，不像传统的方法考 虑选定的参数。 KEYWORDS Agglomerative hierarchical clustering (AHC); classification; cotton quality; high volume instrument (HVI); k-means clustering; principal component analysis (PCA)
Textiles and Light Industrial Science and Technology, 2015
This paper presents the bursting strength of hydroentangled non-woven fabrics made from islands-i... more This paper presents the bursting strength of hydroentangled non-woven fabrics made from islands-in-the-sea fibers PET/COPET and pie segmented fibers (PA6/PET), and processed using inclined water jet apparatus. The effects of basis weights, water jets pressure and water jets inclination angle on bursting strength of hydroentangled nonwoven fabrics were discussed. The comparison was made on the bursting strength of hydroentangled fabrics of 60 g/m 2 and 100 g/m 2 processed by using perpendicular water jets at 0 0 and inclined water jets at 20 0 with pressure levels of 3bars and 7bars. The results showed that the increases of water jet pressure and basis weight caused an increase of the bursting strength of the hydroentangled fabrics. Furthermore, with increasing of water jets inclination angle, the bursting strength of 100 g/m 2 hydroentangled non-woven fabrics were increased while the bursting strength of 60 g/m 2 hydroentangled fabrics decreased. Finally the bursting strength of the pie segmented (PA6/PET) non-woven fabrics showed higher bursting strength compared with islands-in-the-sea (PET/COPET) non-woven fabrics. It can therefore be concluded that degree of inclination of the water jet played an important role in hydroentanglement process.
Triumfetta Tomentosa B(TTB) is one of the plants that grow naturally in the Kenyan forested regio... more Triumfetta Tomentosa B(TTB) is one of the plants that grow naturally in the Kenyan forested regions of Mt. Kenya, Aberdares ranges, Kakamega and theMau forest. Traditionally TTB leaves have been used as food, the bark is used to make ropes or weave baskets and the stem is used as firewood. Among the farmers living in theMt. Kenya region, the TTB bark is normally treatment with a bleaching agent (used for general laundry purposes), with an aim of getting a stronger fiber. The objectives of this research work included the study the properties of TTB bast fibers. Comparison with jute fibers was also undertaken to gauge its suitability for use as grain (maize) packingmaterial. TTB stemswere harvested fromMountKenya region, step retted and then characterized. Surface and chemical characterization of the TTB fibers was undertaken using modern equipments such as FT-IR, SEM, XRD and tensile propertymeasurement equipments. The chemical ingredients of the fibers were also determined. The resu...
Hibiscus sabdariffa L. (roselle) is grown in Kenya for its flower and calyx, which are used in th... more Hibiscus sabdariffa L. (roselle) is grown in Kenya for its flower and calyx, which are used in the beverage industry. Roselle bast fibre has, however, not been commercially exploited. After harvesting the flowers and calyx the stem together with the bark is used as firewood. This paper reports the characteristics of bast fibres in Hibiscus sabdariffa L. (roselle) grown in Kenya. The bast fibre was characterised by studying its physical and chemical characteristics. The physical characteristics investigated included tensile properties, fineness and surface morphology. An investigation into the type of chemical ingredients present in the fibre was also undertaken. The data obtained in this study indicated that the roselle plant grown in Kenya can produce bast fibres of comparable properties to the kenaf grown in Asian countries.
International Journal of Engineering Research in Africa, 2012
The Quality of Silk Yarn Is Affected by the Reeling Process. the Silk Reeling Process Is Affected... more The Quality of Silk Yarn Is Affected by the Reeling Process. the Silk Reeling Process Is Affected by Several Factors which Include the Reeling Temperature and Silk Cocoon Boiling Time. the Aim of this Paper Was to Investigate the Effect of Reeling Temperature and Cocoon Boiling on the Silk Filament Strength and Frequency of End Breaks during Reeling by Using Regression Models. the Results of this Research Work Indicated that Boiling Time and Reeling Temperature Were Positively Correlated with Filament Strength. on the other Hand the Number of End Breaks Increased with Boiling Time. as Reeling Temperature Increased the Number of End Breaks Showed a Decreasing Trend.
The performance of an artificial neural network (ANN) is affected by the number and types of inpu... more The performance of an artificial neural network (ANN) is affected by the number and types of inputs. The aim of this article is to study the performance of ANN algorithms, used for the prediction of cotton yarn strength, elongation, and evenness, as the input units are subtracted (skeletonized) and added to the input layer. Nineteen factors, consisting of fiber properties, processing parameters, and yarn quality properties, were used as the main source of inputs. The initial sets of inputs, which were selected on the basis of their relationship with the output factors, were 13, 13, and 12 for yarn strength, elongation, and evenness, respectively. The final sets of inputs were 14 factors for the three yarn quality properties being predicted, and the new ANN algorithms showed performance improvement of 40, 37, and 47% for strength, elongation, and evenness, respectively, when compared to the algorithms with 19 factors. Yarn twist, fiber length, and fiber length uniformity were common among the five most influential factors affecting yarn strength, elongation, and evenness, accounting for 40, 37, and 37% for the prediction of yarn strength, elongation, and evenness, respectively.
ABSTRACT Although gradient based Backpropagation (BP) training algorithms have been widely used i... more ABSTRACT Although gradient based Backpropagation (BP) training algorithms have been widely used in Artificial Neural Networks (ANN) models for the prediction of yarn quality properties, they still suffer from some drawbacks which include tendency to converge to local minima. One strategy of improving ANN models trained using gradient based BP algorithms is the use of hybrid training algorithms made of global based algorithms and local based BP algorithms. The aim of this paper was to improve the performance of Levenberg-Marquardt Backpropagation (LMBP) training algorithm, which is a local based BP algorithm by using a hybrid algorithm. The hybrid algorithms combined Differential Evolution (DE) and LMBP algorithms. The yarn quality prediction models trained using the hybrid algorithms performed better and exhibited better generalization when compared to the models trained using the LM algorithms.
The data contains simulation models for garment assembly line: Simulation base model, simulation ... more The data contains simulation models for garment assembly line: Simulation base model, simulation metamodel and simulation optimal design model. Simulation experimental data and processing time data for trouser assembly line were also included. This research aimed at designing an optimal trouser assembly line with the parameters' setting that maximizes the production throughput without violating the set constraints. Simulation model was developed using Arena simulation software (Academic research version 16). Simulation data for sixteen generated design alternatives was also presented. The data for optimization process performed with Optquest for Arena was also included. Discrete-event simulation developed on Arena simulation software is suitable for giving an insight of garment assembly line and optimization process performed with Optquest for Arena is suitable for achieving its optimal design. Optimization via experimental design (metamodel) results into high increase in produc...
Some of the synthetic dyes and mordants are harmful to the environment. The aim of this research ... more Some of the synthetic dyes and mordants are harmful to the environment. The aim of this research was to study the dyeing of cotton fabric using extracts from wild leek (Allium burdickii). The bark of mango tree was used as a mordant. The pre-mordanting method was used and four treatments were investigated with respect to exhaustion of the dye. These were: temperature, time, pH and concentration of mordant. Dye exhaustion for 27 experiments was investigated by comparing the relationship between the independent and dependent variables. The regression model obtained from the interactions was significant with an R2 value of 0.611. The effect of pH was insignificant while all the other three variables significantly influenced exhaustion of dye. The optimised conditions for temperature, time and concentration of mordant were: 600C, 90 minutes and 28.18% owf, respectively. The fabrics showed acceptable fastness properties ranging from 2/3-4/5 (fair to very good), 1.2-4 (slightly considerab...
An Elman network model was trained using Fletcher-Reeves Update training algorithm, and used to p... more An Elman network model was trained using Fletcher-Reeves Update training algorithm, and used to predict the tensile strength of cotton yarns. The cotton yarn samples (consisting of rotor and ring spun yarns) were collected from four textile factories in Kenya. The inputs ofthe network were the HVI characteristics of the cotton lint used to spin the yarns together with the fineness (Tex) andTwist per Inch (TPI) of the yarn samples. The output of the network was yarn tensile strength. The Elman network predicted the yarn tensile strength with a mean squared error (mse) of 0.0156 and a correlation coefficient between the network outputs and the targeted values (R-value) of 0.974. Keywords: Cotton fibers, HVI characteristics,cotton yarn, Elman network, ring and rotor spun yarns, Fletcher- Reeves Update
The nascent wave of disruptive competition in the current business environment brought about by t... more The nascent wave of disruptive competition in the current business environment brought about by the fourth industrial revolution (Fashion 4.0 or Apparel 4.0) is enormous. Therefore, it is paramount important to apparel industry to be flexible enough to respond quickly to the unstable customers’ demand through continuous improvement of their process efficiency and productivity. This study aims at achieving an optimal trouser assembly line balancing using simulation-based optimization via design of experiment. The empirical study is conducted at Southern Range Nyanza Limited (NYTIL) garment facility and a complex trouser assembly line with 72 operations is considered. The discrete event simulation of the trouser assembly line is developed using Arena simulation software. The local optimal solution is obtained from simulation experimentation and is adopted for the optimization process. The OptQuest tool is utilized to solve a single objective function (throughput) optimization problem. The results show that average throughput increases from the existing design (490 pieces per day) to local optimal design (638) and global optimal design (762). Consequently, the line efficiency increases from 61.2% to 79.7% to 95.2% respectively. The high increase in line efficiency and average throughput confirms the suitability assembly line balancing using simulation-based optimization via design of experiment.
The textile industry has had its share of problems in the last decade. One of the remedial action... more The textile industry has had its share of problems in the last decade. One of the remedial actions proposed by the Government is to improve the competitiveness of the textile sector by reducing the cost of doing business. Given that the Kenyan factories have to pay higher rates than their competition, for electricity, transport and labor, any effort taken to reduce the cost of running a textile process will be a boast to the industry. Furthermore vision 2030, envisages an increase in the manufacturing sector in Kenya. Therefore, the local production of cotton desizing enzyme will no doubt be a contribution to the industrialization process. It was with the aforementioned reasons in mind that a study of the performance of a locally produced enzyme during desizing was undertaken. The challenges reported during the use of the locally produced enzyme included the inability to determine the concentration of the enzyme. This paper reports the use of spectrophotometer to study the concentra...
The textile industry has been identified as one of the key industries which could spur industrial... more The textile industry has been identified as one of the key industries which could spur industrial growth in Kenya. Efforts are being made by the Kenyan government and other institutions to revive the textile industry. One area which could contribute towards the revival of the Kenyan Textile industry could be the optimization of the cotton processing in Kenya. Cotton processing includes ginning, spinning, weaving and wet processing. In cotton spinning, the Kenyan industry uses ring and rotor spinning technologies. While ring spinning is the traditional spinning process, rotor spinning has established itself as a great competitor especially when dealing with course counts. This paper looks at the quality of cotton rotor spun yarns, in comparison with the uster standards. While the Kenyan cotton lint reported good quality characteristics when compared to Uster standards, the quality of the rotor spun yarn was poor especially for yarn evenness and hairiness. It is therefore recommended ...
A rising number of pets and the increasing market for pet products in China has necessitated a st... more A rising number of pets and the increasing market for pet products in China has necessitated a study into the consumer attitude and involvement towards pet apparel. A survey on the consumer attitude and involvement towards pet apparel was carried out. A total of 166 Chinese, 69 Americans and 114 other foreigners respondents were involved in the study. The other foreigners were of several nationalities which included Romania, Canada, Italy, Australia, Japan, Singapore and Zambia. The data collected in this research indicated that for the non-Chinese consumers, gender, age and income did not affect the purchase of pet apparel. For the Chinese consumers, the results showed that while gender and income did not affect the purchase of pet apparel, age of the consumer however affected the purchase of pet apparel. The results of the research indicated that the attitude of the Chinese consumer towards pet apparel is driven by fashion and aesthetic properties (fun) while that of the non-Chine...
The nascent wave of disruptive competition in the current business environment brought about by t... more The nascent wave of disruptive competition in the current business environment brought about by the fourth industrial revolution (Fashion 4.0 or Apparel 4.0) is enormous. Therefore, it is paramount important to apparel industry to be flexible enough to respond quickly to the unstable customers' demand through continuous improvement of their process efficiency and productivity. This study aims at achieving an optimal trouser assembly line balancing using simulation-based optimization via design of experiment. The empirical study is conducted at Southern Range Nyanza Limited (NYTIL) garment facility and a complex trouser assembly line with 72 operations is considered. The discrete event simulation of the trouser assembly line is developed using Arena simulation software. The local optimal solution is obtained from simulation experimentation and is adopted for the optimization process. The OptQuest tool is utilized to solve a single objective function (throughput) optimization problem. The results show that average throughput increases from the existing design (490 pieces per day) to local optimal design (638) and global optimal design (762). Consequently, the line efficiency increases from 61.2% to 79.7% to 95.2% respectively. The high increase in line efficiency and average throughput confirms the suitability assembly line balancing using simulation-based optimization via design of experiment.
International Journal of Computational and Experimental Science and Engineering, 2018
Production of better yarns in terms of uniformity is every spinner's goal since yarns with a larg... more Production of better yarns in terms of uniformity is every spinner's goal since yarns with a large number of irregularities and defects reduces the market value of the end product. This study aimed at studying the influence of count, twist, opening roller speed and rotor speed on the number of thin and thick places formed in 100% cotton rotor spun yarns using statistical techniques. The results obtained in this research work indicated that increase in count increased thin and thick places in the yarns. With twist and opening roller speed, thin and thick places were reduced up to a certain value and then started to increase. Count 15Ne, twist multiplier of 5TM, opening roller speed of 8000 rpm and rotor speed of 90,000rpm gave the lowest number of thin and thick places/km formed in the resulting yarns.
Moisture transportation through fabrics is one of the important parameters which affect clothing ... more Moisture transportation through fabrics is one of the important parameters which affect clothing comfort. The combination of different factors which include fiber, yarn and fabric structure will yield varying degrees of clothing comfort. This research work concentrated on the use of viscose fibers spun on the vortex spinning system. Six knitted fabric samples were produced and tested for moisture transportation characteristics, which included air and water moisture permeability. The results indicate that all structures had high wicking levels in the wale than in the course direction. Similarly, all fabrics had poor drying abilities, but good water vapor permeability. There was a good correlation between air permeability and water vapor permeability of the fabrics. This was attributed to the fiber in the yarn not the fabric structure.
Cotton from the three cotton growing regions of Uganda was characterized for 13 quality parameter... more Cotton from the three cotton growing regions of Uganda was characterized for 13 quality parameters using the High Volume Instrument (HVI). Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC) and k-means clustering were used to model cotton quality parameters. Using factor analysis, cotton yellowness and short fiber index were found to account for the highest variability. At 5% significance level, the highest correlation (0.73) was found between short fiber index and yellowness. Based on Cotton Outlook's world classification and USDA Standards, the cotton under test was deemed of high and uniform quality, falling between Middling and Good Middling grades. Our suggested classification integrates all lint quality parameters, unlike the traditional methods that consider selected parameters. 摘要 从乌干达三棉产区棉花的特点 13 质量参数使用高容量仪器(HVI)。主成 分分析(PCA)，凝聚层次聚类(AHC)和 k 均值聚类模型用于棉花质量 参数。采用因子分析、棉花枯黄、短纤维指数都占最高的变异。在 5% 的 显著水平的相关性最高(0.73)发现短纤维指数和黄色之间。根据棉花展 望世界分类标准和美国农业部标准，被测棉花质量高，质量均匀，中等和 中高档之间。我们建议的分类集成所有皮棉质量参数，不像传统的方法考 虑选定的参数。 KEYWORDS Agglomerative hierarchical clustering (AHC); classification; cotton quality; high volume instrument (HVI); k-means clustering; principal component analysis (PCA)
Textiles and Light Industrial Science and Technology, 2015
This paper presents the bursting strength of hydroentangled non-woven fabrics made from islands-i... more This paper presents the bursting strength of hydroentangled non-woven fabrics made from islands-in-the-sea fibers PET/COPET and pie segmented fibers (PA6/PET), and processed using inclined water jet apparatus. The effects of basis weights, water jets pressure and water jets inclination angle on bursting strength of hydroentangled nonwoven fabrics were discussed. The comparison was made on the bursting strength of hydroentangled fabrics of 60 g/m 2 and 100 g/m 2 processed by using perpendicular water jets at 0 0 and inclined water jets at 20 0 with pressure levels of 3bars and 7bars. The results showed that the increases of water jet pressure and basis weight caused an increase of the bursting strength of the hydroentangled fabrics. Furthermore, with increasing of water jets inclination angle, the bursting strength of 100 g/m 2 hydroentangled non-woven fabrics were increased while the bursting strength of 60 g/m 2 hydroentangled fabrics decreased. Finally the bursting strength of the pie segmented (PA6/PET) non-woven fabrics showed higher bursting strength compared with islands-in-the-sea (PET/COPET) non-woven fabrics. It can therefore be concluded that degree of inclination of the water jet played an important role in hydroentanglement process.
Triumfetta Tomentosa B(TTB) is one of the plants that grow naturally in the Kenyan forested regio... more Triumfetta Tomentosa B(TTB) is one of the plants that grow naturally in the Kenyan forested regions of Mt. Kenya, Aberdares ranges, Kakamega and theMau forest. Traditionally TTB leaves have been used as food, the bark is used to make ropes or weave baskets and the stem is used as firewood. Among the farmers living in theMt. Kenya region, the TTB bark is normally treatment with a bleaching agent (used for general laundry purposes), with an aim of getting a stronger fiber. The objectives of this research work included the study the properties of TTB bast fibers. Comparison with jute fibers was also undertaken to gauge its suitability for use as grain (maize) packingmaterial. TTB stemswere harvested fromMountKenya region, step retted and then characterized. Surface and chemical characterization of the TTB fibers was undertaken using modern equipments such as FT-IR, SEM, XRD and tensile propertymeasurement equipments. The chemical ingredients of the fibers were also determined. The resu...
Hibiscus sabdariffa L. (roselle) is grown in Kenya for its flower and calyx, which are used in th... more Hibiscus sabdariffa L. (roselle) is grown in Kenya for its flower and calyx, which are used in the beverage industry. Roselle bast fibre has, however, not been commercially exploited. After harvesting the flowers and calyx the stem together with the bark is used as firewood. This paper reports the characteristics of bast fibres in Hibiscus sabdariffa L. (roselle) grown in Kenya. The bast fibre was characterised by studying its physical and chemical characteristics. The physical characteristics investigated included tensile properties, fineness and surface morphology. An investigation into the type of chemical ingredients present in the fibre was also undertaken. The data obtained in this study indicated that the roselle plant grown in Kenya can produce bast fibres of comparable properties to the kenaf grown in Asian countries.
International Journal of Engineering Research in Africa, 2012
The Quality of Silk Yarn Is Affected by the Reeling Process. the Silk Reeling Process Is Affected... more The Quality of Silk Yarn Is Affected by the Reeling Process. the Silk Reeling Process Is Affected by Several Factors which Include the Reeling Temperature and Silk Cocoon Boiling Time. the Aim of this Paper Was to Investigate the Effect of Reeling Temperature and Cocoon Boiling on the Silk Filament Strength and Frequency of End Breaks during Reeling by Using Regression Models. the Results of this Research Work Indicated that Boiling Time and Reeling Temperature Were Positively Correlated with Filament Strength. on the other Hand the Number of End Breaks Increased with Boiling Time. as Reeling Temperature Increased the Number of End Breaks Showed a Decreasing Trend.
The performance of an artificial neural network (ANN) is affected by the number and types of inpu... more The performance of an artificial neural network (ANN) is affected by the number and types of inputs. The aim of this article is to study the performance of ANN algorithms, used for the prediction of cotton yarn strength, elongation, and evenness, as the input units are subtracted (skeletonized) and added to the input layer. Nineteen factors, consisting of fiber properties, processing parameters, and yarn quality properties, were used as the main source of inputs. The initial sets of inputs, which were selected on the basis of their relationship with the output factors, were 13, 13, and 12 for yarn strength, elongation, and evenness, respectively. The final sets of inputs were 14 factors for the three yarn quality properties being predicted, and the new ANN algorithms showed performance improvement of 40, 37, and 47% for strength, elongation, and evenness, respectively, when compared to the algorithms with 19 factors. Yarn twist, fiber length, and fiber length uniformity were common among the five most influential factors affecting yarn strength, elongation, and evenness, accounting for 40, 37, and 37% for the prediction of yarn strength, elongation, and evenness, respectively.
ABSTRACT Although gradient based Backpropagation (BP) training algorithms have been widely used i... more ABSTRACT Although gradient based Backpropagation (BP) training algorithms have been widely used in Artificial Neural Networks (ANN) models for the prediction of yarn quality properties, they still suffer from some drawbacks which include tendency to converge to local minima. One strategy of improving ANN models trained using gradient based BP algorithms is the use of hybrid training algorithms made of global based algorithms and local based BP algorithms. The aim of this paper was to improve the performance of Levenberg-Marquardt Backpropagation (LMBP) training algorithm, which is a local based BP algorithm by using a hybrid algorithm. The hybrid algorithms combined Differential Evolution (DE) and LMBP algorithms. The yarn quality prediction models trained using the hybrid algorithms performed better and exhibited better generalization when compared to the models trained using the LM algorithms.
The today competitive advantage of Ready-made garment industries depends on the ability to improv... more The today competitive advantage of Ready-made garment industries depends on the ability to improve the efficiency and effectiveness of resource utilization. Ready-made garment industries have long historically adopted fewer technological and process advancement as compared to automotive, electronics and semiconductor industries. Simulation modeling of garment assembly line system has attracted a number of researchers as one way for insightful analysis of system behaviour and improving its performance. However, most of simulation studies have considered ill-defined experimental design which cannot fully explore the assembly line design alternatives and does not uncover the interaction effects of the input variables. Simulation metamodeling is an approach to assembly line design which has recently been of interest to so many researchers. However, its application in garment assembly line design has never been well explored. In this paper, simulation metamodeling of trouser assembly line with 72 operations has been demonstrated. The linear regression metamodel technique with resolution-V design was used. The effects of five factors: bundle size, job release policy, task assignment pattern, machine number and helper number on the production throughput of the trouser assembly line were studied. The increase of 28.63% of the production throughput was achieved for the best factors' setting of the metamodel.
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Papers by Josphat Igadwa