Liu J.,Jiangnan University |
Liu J.,Donghua University |
Liu J.,National Engineering Research Center for Nonwovens |
Bao W.,Wuxi Entry Exit Inspection and Quarantine Bureau |
And 3 more authors.
Applied Acoustics | Year: 2014
In this paper, we propose a more general forecasting method to predict the sound absorption coefficients at six central frequencies and the average sound absorption coefficient of a sandwich structure nonwoven absorber. The kernel assumption of the proposed method is that the acoustics property of sandwich structure nonwoven absorber is determined by some easily measured structural parameters, such as thickness, area density, porosity, and pore size of each layer, if the type of the fiber used in nonwoven is given. By holding this assumption in mind, we will use general regression neural network (GRNN) as a prediction model to bridge the gap between the measured structural parameters of each absorber and its sound absorption coefficient. In experiment section, one hundred sandwich structure nonwoven absorbers are particularly designed with ten different types of meltblown polypropylene nonwoven materials and four types of hydroentangled E-glass fiber nonwoven materials firstly. Secondly, four structural parameters, i.e., thickness, area density, porosity, and pore size of each layer are instrumentally measured, which will be used as the inputs of GRNN. Thirdly, the sound absorption coefficients of each absorber are measured with SW477 impedance tube. The sound absorption coefficient at 125 Hz, 250 Hz, 500 Hz, 1000 Hz, 2000 Hz, 4000 Hz and their average value are used as the outputs of GRNN. Finally, the prediction framework will be carried out after the desired training set selection and spread parameter optimization of GRNN. The prediction results of 20 test samples show the prediction method proposed in this paper is reliable and efficient. © 2013 Elsevier Ltd. All rights reserved.
Liu Q.,Jiangnan University |
Zhang H.,Wuxi Entry Exit Inspection and Quarantine Bureau |
Deng B.,Jiangnan University |
Zhao X.,Changzhou University
International Journal of Polymer Science | Year: 2014
Poly(3-hydroxybutyrate) [P(3HB)] and poly(3-hydroxybutyrate-co-3- hydroxyvalerate) [P(3HB-co-3HV)] are produced by various microorganisms as an intracellular carbon and energy reserve from agricultural feedstocks such as sugars and plant oils under unbalanced growth conditions. P(3HB) and P(3HB-co-3HV) have attracted the attention of academia and industry because of its biodegradability, biocompatibility, thermoplasticity, and plastic-like properties. This review first introduced the isodimorphism, spherulites, and molecular interaction of P(3HB) and P(3HB-co-3HV). In addition, the effects of 3HV content on the melting temperature and crystallization rate were discussed. Then the drawbacks of P(3HB) and P(3HB-co-3HV) including brittleness, narrow melt processing window, low crystallization rate, slow biodegradation rate in body, and so on were summarized. At last, the preparation, structure, and properties of P(3HB) and P(3HB-co-3HV) fiber were introduced. © 2014 Qingsheng Liu et al.
Liu Q.,Jiangnan University |
Liu Q.,Fudan University |
Liu Q.,Jiaxing University |
Wu C.,Jiangnan University |
And 2 more authors.
Journal of Applied Polymer Science | Year: 2015
The Polylactide (PLA)/poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) blends with four different weight ratios were prepared by melt mixing. PLA and PHBV in PLA/PHBV blends were immiscible while the weak interaction between PLA and PHBV existed. The PHBV domains below 2 μm were dispersed in PLA matrix uniformly. The addition of PHBV made the crystallization of PLA easier due to PHBV acting as nucleating agent. PLA spherulites in PLA/PHBV blends presented various banded structures. In addition, the crystallinity of neat PLA was lower than those of PLA/PHBV blends. With the increase of PHBV content in PLA/PHBV blends, the crystallinity of PLA/PHBV blends increased. PHBV could enhance significantly the toughness of PLA. However, with the increase of PHBV content, the yield stress (σy), tensile modulus (E), and the yield strain (εy) of PLA/PHBV blends decreased gradually. In addition, incorporation of PHBV to PLA caused a transformation from an optical transparent to an opaque system. © 2015 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015, 132, 42689. © 2015 Wiley Periodicals, Inc.
Li Z.,Jiangnan University |
Pan R.,Jiangnan University |
Zhang J.,Jiangnan University |
Li B.,Jiangnan University |
And 2 more authors.
Measurement Science and Technology | Year: 2015
This article presents a novel method for measuring the unevenness of yarn apparent diameter based on yarn sequence images captured from a moving yarn. A dynamic threshold module was designed to gain the global threshold for segmenting yarns in the sequence images. In the module, a K-means clustering algorithm was employed to classify the pixels of each frame in the sequence into two clusters - yarn and background. The cluster center of the current frame was used as the initial value of the cluster center for the next frame in the sequence to expedite the segmentation process. From the segmented yarn image, the yarn core was further extracted utilizing the characteristics of yarn hairiness, and two judgment templates were adopted to remove burrs, isolated points and unrelated small areas in the images. The yarn apparent diameter was measured on the yarn core at a given interval. The same kind of yarns were tested by using this method and Uster Evenness Tester 5. The experimental results show that the proposed method can accurately detect the unevenness of yarn apparent diameter and provide new useful information about yarn unevenness, such as the short-term, the long-term, and the periodic variations of yarn apparent diameters. © 2016 IOP Publishing Ltd.
Ma Y.,Jiangnan University |
Huang M.,Jiangnan University |
Zhu Q.,Jiangnan University |
Li Y.,Wuxi Entry Exit Inspection and Quarantine Bureau |
Bu P.,Wuxi Entry Exit Inspection and Quarantine Bureau
American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 | Year: 2014
Recognition of bruise and pest infestation apple from normal 'Golden Delicious' apple simultaneously can help us detecting the quality and safety of apple during postharvest sorting and grading, and has a great significance for reasonable utilization of resources and improve the economic benefit in industry. Meanwhile, which lead to reduced risk of cross-border spread of the pest. The potential of a hyperspectral imaging technique for distinguishing the grade of apple was thus investigated. The purpose of this paper is to discriminate the bruise and pest infestation apple from normal apple simultaneously using hyperspectral imaging technique. In addition, a study was carried out in an attempt to determine which wavebands display the effects on the different grades tissue with different waveband selection methods. First, the image reflection spectra of hyperspectral images were extracted as classification features for 3 grades including 290 samples (170 normal apples, 80 bruise apples and 40 pest infestation apples), which the spectral region covered 400 - 1000 nm and contained 94 wavebands. Then, optimal wavebands were selected using personal computer assistant (PCA) and reflectance sensitivity analysis (RSA) method, respectively. At last, partial least squares discriminant analysis (PLSDA) was used to develop the classification models for the 3 grades apple. The results indicated the total training accuracy of 99.0% and the total testing accuracy of 98.4% were achieved by the method of RSA with the 6 optimal wavebands (only 6.4% of full wavebands), which can implement the grade classification of apples.
Dou M.-C.,Changzhou Entry Exit Inspection and Quarantine Bureau |
Deng J.,Wuxi Entry Exit Inspection and Quarantine Bureau |
Lai G.-Z.,Wuxi Entry Exit Inspection and Quarantine Bureau |
Yao J.,Wuxi Entry Exit Inspection and Quarantine Bureau
Wool Textile Journal | Year: 2014
The down-proof property is one of the important properties of feather and down products, scientific and effective testing method and equipment are the key contents to research the down-proof property of fabrics. The paper describes the main methods of testing the down-proof property of fabrics: trumble test, rubbing test and impact test, and according to the Europen standard-impact test, a new impact test instrument is developed. The paper introduces the basic structure, the working principle and the design plan of the instrument, and compares the different laboratory test results to verify the feasibility of the instrument. The results show no significant difference between the test data of the laboratory, and it shows that the instrument can effectively test the down-proof property of fabrics.
Yin X.,Wuxi Entry exit Inspection and Quarantine Bureau |
Yin X.,Textile Industry Products Testing Center |
Ge W.,Wuxi Entry exit Inspection and Quarantine Bureau
Advanced Materials Research | Year: 2012
Because there exist some disadvantages of the traditional moisture regain testing method (oven drying) for textile materials, such as longer testing period, higher energy wastage, laboring intensity, and inefficient, a new instrument i.e. moisture regain rapid testing system has been researched, designed and manufactured for raw silk in this project. This system can record real-time the weight of raw silk sample during the drying in the certain environment oven. The index prediction model has been developed based on the accumulating generation operator (1-AGO) after the data have been pretreated. According to this model, the percent of error is only 2.09% between the predicted value and actual result of raw silk moisture regain within the drying cycle of 40min by the rapid testing system.
Xiang Q.,Donghua University |
Lv Z.-J.,Donghua University |
Yang J.-G.,Donghua University |
Yin X.-G.,Wuxi Entry Exit Inspection and Quarantine Bureau
Applied Mechanics and Materials | Year: 2011
Due to absence of an integral mathematical model, quality control in spinning process has been hard problem for a long time. Rough sets theory (RST) is a methodology that effectively deals with the problems with inexact, uncertain or vague knowledge in a complex information system. Considering a mass of data from spinning process and inspection, as well as the variety of knowledge and experience from domain experts, an RST-based intelligent control model for spinning process is presented in this paper. In order to analyze the yarn strength when the characteristics of fibers are given, a rule extraction method based on RST is researched. The logical rules extracted from the decision table indicate that the initial strength of fibers is a key factor influencing on the yarn strength. At the same time, the different values combination of the final reduced attributes also obviously influence on the yarn strength in different degree when the certain nominal yarn is being processed. Therefore, RST method can be taken into account for spinners to choose suitable fiber materials in order to ensure the quality and reduce cost. © (2011) Trans Tech Publications.
Zhou L.-H.,ShenYang Agricultural University |
Zhou L.-H.,Liaoning Academy of Agricultural science |
Wang X.-Y.,Wuxi Entry Exit Inspection and Quarantine Bureau |
Lei J.-J.,ShenYang Agricultural University
Genetics and Molecular Research | Year: 2016
The beet armyworm, Spodoptera exigua (Lepidoptera: Noctuidae), is an economically important pest that causes major losses in some main crop-producing areas of China. To control this pest effectively, it is necessary to investigate its population genetic diversity and genetic structure around the Bohai Gulf area of China. In this study, we used two mitochondrial genes, COI (578 bp) and Cytb (724 bp), to investigate its genetic diversity. We obtained 622 COI sequences and 462 Cytb sequences from 23 populations, and 28 and 73 haplotypes, respectively, were identified. Low to moderate levels of genetic diversity (COI: Hd = 0.267 ± 0.023, Pi = 0.00082 ± 0.00010; Cytb: Hd = 0.689 ± 0.018, Pi = 0.00255 ± 0.00029) for the total populations were observed. Phylogeneticand median-joining network analyses indicated no distinct geographical distribution pattern among the haplotypes. Overall, this study revealed that there was significant differentiation among the populations (COI: FST = 0.158, P < 0.001; Cytb: FST = 0.148, P < 0.001). FST values for Shenyang, Baoding, and Funing were significantly different to those for most of the other populations. Finally, unimodal mismatch distribution analysis, combined with negative neutrality test results, showed a recent population expansion of the beet armyworm around the Bohai Gulf area of China. © 2016 The Authors.
PubMed | ShenYang Agricultural University and Wuxi Entry Exit Inspection and Quarantine Bureau
Type: Journal Article | Journal: Genetics and molecular research : GMR | Year: 2016
The beet armyworm, Spodoptera exigua (Lepidoptera: Noctuidae), is an economically important pest that causes major losses in some main crop-producing areas of China. To control this pest effectively, it is necessary to investigate its population genetic diversity and genetic structure around the Bohai Gulf area of China. In this study, we used two mitochondrial genes, COI (578 bp) and Cytb (724 bp), to investigate its genetic diversity. We obtained 622 COI sequences and 462 Cytb sequences from 23 populations, and 28 and 73 haplotypes, respectively, were identified. Low to moderate levels of genetic diversity (COI: Hd = 0.267 0.023, Pi = 0.00082 0.00010; Cytb: Hd = 0.689 0.018, Pi = 0.00255 0.00029) for the total populations were observed. Phylogenetic and median-joining network analyses indicated no distinct geographical distribution pattern among the haplotypes. Overall, this study revealed that there was significant differentiation among the populations (COI: F