Optimization of Mechanical Properties of UV-cut Polyester Fiber Using a Hybrid Taguchi and Fuzzy Approach

2015 ◽  
Vol 10 (2) ◽  
pp. 155892501501000
Author(s):  
Te-Li Su ◽  
Yu-Lin Kuo
Keyword(s):  
Melt Spinning ◽  
Processing Parameters ◽  
Quality Characteristics ◽  
Fuzzy Approach ◽  
Optimal Conditions ◽  
Maximal Strength ◽  
High Quality ◽  
Optimal Processing ◽  
Multiple Quality Characteristics ◽  
Spinning Process

This goal of this study was to find the optimal processing parameters for PET/TiO2 UV-cut fiber in order to work out its maximal strength. UV-cut means PET/TiO2 fiber attenuates the transmission of UV-radiation. The hybrid Taguchi and fuzzy approach was applied to resolve the problem as regards optimization of multiple quality characteristics, and further discover the optimal conditions for PET/TiO2 UV-cut fiber. First, the Taguchi approach was employed to plan the melt-spinning process parameters and reduce the number of experiments to 27, thus decreasing experimental cost and time. The fuzzy approach was adopted to optimize multiple quality characteristics. The analysis of variance and response surface methodology found the factors significantly affecting the quality characteristics of PET/TiO2 UV-cut fiber were die temperature and winding speed. According to the experimental results, the PET/TiO2 UV-cut fiber can absorb UVA and UVB, and thus has been widely used in sportswear, high-quality parasols, work clothes, hats, tents, and curtains to reduce the risk of skin cancer.

Multi-Objective Optimization of Thermo-Ultrasonic Flip-Chip Bonding Process for High-Brightness Light Emitting Diodes

2010 ◽  
Vol 132 (4) ◽  
Author(s):  
Chung-Feng Jeffrey Kuo ◽  
Hui-Ta Chen ◽  
Te-Li Su ◽  
Jr-Da Huang
Keyword(s):  
Taguchi Method ◽  
Flip Chip ◽  
Processing Parameters ◽  
Quality Characteristics ◽  
Gray Relational Analysis ◽  
Light Emitting ◽  
Relational Analysis ◽  
Optimal Processing ◽  
Multiple Quality Characteristics ◽  
Flip Chip Bonding

Flip-chip bonding is a kind of chip packaging technology, which can make fabricated chips lighter and smaller. Thermo-ultrasonic flip-chip bonding is a technology that directly joins gold pad and gold bump. This study combines principle component analysis and gray relational analysis to determine the optimal processing parameters for multiple quality characteristics of light emitting diodes (LEDs). The quality characteristics of this experiment include the candle light, forward voltage, and leakage current of LED and thrust value. First, this study determines the processing parameters that may affect the thermo-ultrasonic flip-chip bonding with the L18 orthogonal array, including substrate temperature, bonding downforce, ultrasonic working time, ultrasonic power, and rising and delay time of tool head bonding. Then, the gray relational analysis is applied to indicate the optimal processing parameters for the multiple quality characteristics of LED. Since the Taguchi method only takes one single quality characteristic into consideration, this study applies the Taguchi method to reduce the number of thermo-ultrasonic flip-chip bonding experiments. The experimental results prove that the optimal LED has good integral quality, which is above industrial standard.

Design Optimization of Nonwoven Processing Parameters Using Hybrid Taguchi and TOPSIS Approach

2012 ◽  
Vol 622-623 ◽  
pp. 103-106
Author(s):  
Shu Wen Wang ◽  
Te Li Su
Keyword(s):  
Processing Parameters ◽  
Quality Characteristics ◽  
Optimal Conditions ◽  
Machine Direction ◽  
Nonwoven Fabrics ◽  
Needle Penetration ◽  
Optimal Processing ◽  
Order Preference ◽  
The Cross ◽  
Topsis Approach

This study aimed to apply Taguchi method and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to optimize multiple qualities of needlepunched nonwoven fabrics with the fewest experiments. The quality characteristics are tear strength of machine direction (MD)/ cross machine direction (TD) and tensile strength of MD/TD. From nine experiments based on the L9 orthogonal array, the swing rate of the cross-lapper machine is 1500 rpm, the delivery rate of the cross-lapper machine is 15 cm/min, the depth of the needle penetration is 14 mm, and the punch density is 60 punches/cm2 were found to be the optimal processing parameters. Finally, ten confirmation experiments were executed to ensure the reliability and reproducibility of the TOPSIS predicted optimal conditions with a 95% confidence interval for the needlepunched nonwoven fabrics.

Microstructure Analysis of Melt-Spun Al3Ti Intermetallics by XRD and EXAFS

1996 ◽  
Vol 460 ◽  
Author(s):  
Jinmin Chen ◽  
W. E. Frazier ◽  
E. V. Barrera
Keyword(s):  
Crystal Structure ◽  
High Temperature ◽  
Melt Spinning ◽  
Composition Range ◽  
Processing Parameters ◽  
Wheel Speed ◽  
Annealing Temperatures ◽  
Melt Spun ◽  
Temperature Heat ◽  
Spinning Process

ABSTRACTIn an effort to expand the composition range over which Al3Ti is stable, various amounts of niobium were substituted for titanium and processed by melt-spinning. Several samples were annealed both at 600°C and 1000°C for 24 hours. The effects of processing parameters such as wheel speed, the amount of niobium, and annealing temperatures on the structure were investigated by XRD and EXAFS. XRD showed that for all the samples the only structure present was DO22-The DO22 structure was stable even after the high temperature heat treatments. By means of EXAFS, niobium atoms were observed to occupy titanium sites in the DO22 structure. Furthermore, in the unannealed samples, increasing wheel speed of the melt spinning process or the niobium concentration tended to distort the crystal structure. It was observed that Ti EXAFS had different results from the Nb EXAFS beyond their occupying similar sites, which suggested there may exist some composition zones, i.e. rich Nb zone or rich Ti zones, although the structures present were still DO22. The samples were found to experience different distortions as a function of annealing temperatures.

A study of multi-quality processing parameter optimization for sueded fabric

2016 ◽  
Vol 87 (4) ◽  
pp. 389-398 ◽  
Author(s):  
Chung-Feng Jeffrey Kuo ◽  
Wen-Tsung Lin
Keyword(s):  
Taguchi Method ◽  
Color Difference ◽  
Processing Parameters ◽  
Quality Characteristics ◽  
Gray Relational Analysis ◽  
Processing Parameter ◽  
Optimum Processing ◽  
Multiple Quality Characteristics ◽  
Response Table ◽  
Fabric Surface

Sueded fabric quality control depends on the processing parameter settings. The quality characteristics considered in this study are surface softness and color difference. The Taguchi method was combined with gray relational analysis (GRA) to optimize the multi-quality sueding processing parameter combinations. First, an orthogonal array is designed by using the design of experiments of the Taguchi method for the major processing parameters of the sueding machine. The signal/noise ratio and analysis of variance are calculated from the measured fabric surface softness and color difference data, significant factors influencing the quality characteristics obtained, and GRA used to remedy the deficiency in the Taguchi method, which is only applicable to single-quality characteristics. The optimum processing parameters of multiple-quality characteristics are obtained from the response table and response diagram of GRA. The quality of suede fabric can be controlled effectively by using the optimum processing parameters to set the processing parameters, and the 95% confidence interval validates the reliability and reproducibility of the experiment.

scholarly journals Physical Modeling of the Impeller Construction Impact on the Aluminum Refining Process

Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 575
Author(s):  
Mariola Saternus ◽  
Tomasz Merder
Keyword(s):  
Liquid Metal ◽  
Physical Modeling ◽  
Batch Reactor ◽  
Gas Bubbles ◽  
Processing Parameters ◽  
Refining Process ◽  
High Quality ◽  
Optimal Processing ◽  
Industrial Use ◽  
Selection Of

Obtaining high-quality aluminum is associated with the use of an effective method of refining, which is argon-purging, in which gas bubbles are introduced into the liquid metal by means of rotary impellers. Various rotary impellers are used in the industry; however, if a newly designed impeller is constructed, it should be tested prior to industrial use. For this purpose, physical modeling is used, which enables the investigation of the phenomena occurring during refining and the selection of optimal processing parameters without costly research carried out in the industry. The newly designed rotary impeller was tested on the physical model of a URO-200 batch reactor. The flow rate of refining gas was: 10, 15 and 20 dm3·min−1, whereas rotary impeller speed was 300, 400 and 500 rpm. The research consists of a visualization test showing the schemes of the gas bubbles’ dispersion level in the liquid metal and experiments for removing oxygen from water, which is an analogue of removing hydrogen from aluminum.

Development of disperse dyes polypropylene fiber and process parameter optimization Part II: Dyeable polypropylene fiber production and melt spinning process parameter optimization

2017 ◽  
Vol 88 (13) ◽  
pp. 1505-1516 ◽  
Author(s):  
Chung-Feng Jeffrey Kuo ◽  
Wei-Lun Lan ◽  
Ming-Yan Dong ◽  
Shih-Hsiung Chen ◽  
Fang-Sian Lin
Keyword(s):  
Tensile Strength ◽  
Parameter Optimization ◽  
Melt Spinning ◽  
Polypropylene Fiber ◽  
Processing Parameters ◽  
Process Parameter ◽  
Disperse Dye ◽  
Process Parameter Optimization ◽  
Washing Fastness ◽  
Spinning Process

The industry uses color masterbatch mixing process and spinning for dope dyeing. There are color mending and color passivation appearance problems, and the process is inapplicable to functional apparel textiles. In this study, dyeable modified polypropylene (PP) fabric with disperse dye will be developed. The modified polyester material and PP for compounding processing with a compatibilizer will be used to make chips and the quality engineering method will be applied to analyze the optimum spinning process parameters. The fabric will be used to validate the dye washing fastness and light fastness in order to implement the dyeability of PP modified disperse dye. The optimum processing parameters to develop dyeable PP fiber will be studied. The modified materials are made into fiber by melt spinning, and the fuzzy C means technique is combined with the stem cells algorithm to design and analyze the processing parameters for the quality characteristics of tensile strength and elongation. The optimum fully drawn yarn is made. The tensile strength of the fiber of optimum parameter design is 3.66 g/d, higher than the 3.36 g/d of the pure PP fiber; the elongation is 38.65%, higher than the 36.66% of pure PP fiber, meaning the optimization method could improve the characteristics in melt spinning process, and conform with the standards of the textile industry. The fiber derived from the optimum parameters is woven into fabric for the disperse dyeing test and the validation of washing fastness shows the washing fastness is Level 3–4, meaning that the developed modified PP fabric has good dye-uptake and fastness.

Simulation of Multifilament Superfine Denier Polyester Melt Spinning

2011 ◽  
Vol 332-334 ◽  
pp. 250-255
Author(s):  
Nan Fan Li ◽  
Chun Wang Yi ◽  
Chao Sheng Wang
Keyword(s):  
Air Temperature ◽  
Melt Spinning ◽  
Production Technique ◽  
Air Velocity ◽  
High Quality ◽  
Polyester Filament ◽  
Basic Model ◽  
Quenching Process ◽  
Degree Of Orientation ◽  
Spinning Process

Based on melt spinning dynamic model and theory, a basic model of superfine denier polyester multifilament was established. Besides the expressions of quench air temperature and quench air velocity for superfine denier filament spinning process have been established in this paper. In different conditions of diameters of spinneret holes, spinning temperature and the quenching process, the degree of orientation, crystallinity and spinning stress of polyester filament in the spinning process was simulated, respectively. The variation of quench air temperature and air velocity of multifilament in different circles of spinneret was mainly discussed. The research was expected to provide basic theory for optimizing production technique and manufacturing high quality superfine denier polyester filament.

scholarly journals EFFECT OF SPINNING PARAMETERS ON PLA/PPC/CURCUMIN MICROFIBER DIAMETER: AN INVESTIGATION VIA RESPONSE SURFACE METHODOLOGY

2020 ◽  
Vol 21 (2) ◽  
pp. 197-211
Author(s):  
Sharifah Imihezri Syed Shaharuddin ◽  
AMIRUL AKMAL FAUZAN ◽  
MOHAMAD FARIS IZZUDIN MOHAMAD JAZI ◽  
NUR ATIQAH MOHD. AKHIR ◽  
MAIZATULNISA OTHMAN ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Melt Spinning ◽  
Processing Parameters ◽  
Lack Of Fit ◽  
Spinning Process ◽  
Itu Model ◽  
Predicted Values ◽  
Spinning Speed ◽  
Central Composite

The initial phase of this study was to investigate the effect of polypropylene carbonate (PPC) additions in polylactic acid (PLA)/curcumin (Cur) blends. It was observed that the presence of curcumin particulates behaved as a reinforcement filler for PPC additions up to 30 wt%. A specific composition was then invested to find the correlation between the fiber diameter and melt-spinning process parameters using central composite design (CCD), a subset of response surface methodology (RSM). Results showed that the spinning temperature had a greater effect than the spinning speed on the diameter of PLA/PPC/curcumin fiber. The response model indicated a good correlation between experimental and predicted values since the ANOVA analysis demonstrated high F-value of model adequacy at 10.34, non-significant lack of fit, precision adequacy of 9.94 and R2 value of 0.80. Therefore, this model can be used in a future study to establish the processing parameters for controlled fiber production. ABSTRAK: Fasa awal kajian ini adalah bagi mengkaji kesan penambahan karbonat polipropilin ke dalam campuran asid prolaktik (PLA)/kurkumin (Cur). Didapati kehadiran zarah-zarah kurkumin bertindak sebagai pengisi bantuan pada penambahan PPC sehingga 30 wt%. Komposisi tertentu kemudian dikaji bagi mencari kaitan diameter fiber dan parameter proses putaran-cair menggunakan rekaan komposit utama (CCD), dan subset metodologi gerak-balas permukaan (RSM). Keputusan menunjukkan suhu putaran berpengaruh besar berbanding kelajuan putaran pada diameter fiber PLA/PPC/kurkumin. Model yang bertindak balas ini menunjukkan kaitan yang baik antara eksperimen dan nilai yang dijangka kerana analisis ANOVA menunjukkan nilai-F yang tinggi pada 10.34 kecukupan model, tidak-ketara kurang padanan, kecukupan ketepatan pada 9.94 dan nilai R2 sebanyak 0.80. Oleh itu, model ini boleh digunakan pada kajian akan datang bagi menghasilkan parameter proses pengeluaran fiber kawalan.

Integration of multivariate control charts and decision tree classifier to determine the faults of the quality characteristic(s) of a melt spinning machine used in polypropylene as-spun fiber manufacturing Part I: The application of the Taguchi method and principal component analysis in the processing parameter optimization of the melt spinning process

2021 ◽  
pp. 004051752098861
Author(s):  
Chung-Feng Jeffrey Kuo ◽  
Chang-Chiun Huang ◽  
Cheng-Han Yang
Keyword(s):  
Principal Component Analysis ◽  
Rotational Speed ◽  
Melt Spinning ◽  
Principal Component ◽  
Processing Parameters ◽  
Gear Pump ◽  
Processing Parameter ◽  
Spinning Process ◽  
Spun Fiber ◽  
Head Temperature

Melt spinning is the most extensively used method of fabricating polymeric fibers in the textile industry. This series of studies aimed to construct an automatic abnormality diagnosis system for polypropylene (PP) as-spun fiber produced by the melt spinning process. Part I of this study aimed to construct the processing parameter optimization for the PP as-spun fiber produced by the melt spinning machine. The product quality resulting from the processing parameters of the melt spinning process included six control factors: extruder temperature, gear pump temperature, die-head temperature, rotational speed of extruder, rotational speed of gear pump, and take-up speed. The quality characteristics included fiber fineness, breaking strength, breaking elongation, and modulus of resilience. The quality data were derived from the experiments, the design of which were based on the orthogonal array of the Taguchi method in order to calculate the signal-to-noise ratio, analysis of variance, and confidence interval. Principal component analysis was then applied to eliminate the multi-correlation of the output responses and transform the correlated responses into principal components, to obtain multi-quality optimum processing parameters. These optimum parameters, including the extruder temperature (180°C), gear pump temperature (220°C), die-head temperature (240°C), the rotational speed of the extruder (7.5 rpm), the rotational speed of the gear pump (15 rpm), and take-up speed (700 rpm) would later be used to build a prediction of an abnormality diagnosis system for identification of fault processing parameters in a melt spinning machine in Part II of this study.

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