Comparative study of viscose yarn properties spun with a softening device and pressure plate

2019 ◽  
Vol 89 (23-24) ◽  
pp. 4992-5005
Author(s):  
Keshuai Liu ◽  
Duo Xu ◽  
Jiang Wei ◽  
Junlong Ni ◽  
Shengming Yang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Control Method ◽  
Breaking Strength ◽  
Main Body ◽  
Pressure Plate ◽  
Collaborative Control ◽  
Spun Yarn ◽  
Yarn Properties ◽  
Reduce Energy Consumption ◽  
Save Energy

In order to reduce energy consumption and further improve the performance of viscose yarns, this study introduced a collaborative control method to improve spun yarn performance by contacting the spinning strand with both a softening device and a pressure plate. In this study, we analyze the improving mechanism of spun yarn performance using the softening device and pressure plate. The results show that thermal insulation layer formed between the softening device and pressure plate could heat the yarns in all directions to further re-wrap out-exposed hairiness into the main body of yarns and save energy consumption. Four groups of 19.7 tex viscose yarns were spun with different collaborative apparatus (with and without the softening device or pressure plate). Four groups of viscose yarns were tested in terms of hairiness, unevenness, and tensile property. Moreover, the experimental results show that collaborative apparatus with the softening device and pressure plate could significantly improve yarn performance, including CV value, hairiness, break elongation, and breaking strength to 11.3%, 18.94, 12.9%, and 311.0 cN, respectively.

scholarly journals An Intelligent Model to Predict Breaking Strength of Rotor Spun Yarns Using Gene Expression Programming

2012 ◽  
Vol 7 (2) ◽  
pp. 155892501200700 ◽  
Author(s):  
Abdolrasool Moghassem ◽  
Alireza Fallahpour ◽  
Mohsen Shanbeh
Keyword(s):  
Gene Expression ◽  
Breaking Strength ◽  
Gene Expression Programming ◽  
Ann Model ◽  
Spun Yarn ◽  
Yarn Properties ◽  
Spun Yarns ◽  
Artificial Neural Network Ann ◽  
High Degree ◽  
Prediction Approach

Exploring relationships between characteristics of a yarn and influencing factors is momentous subject to optimize the selection of the variables. Different modelling methodologies have been used to predict spun yarn properties. Developing a prediction approach with higher degree of precision is a subject that has received attention by the researchers. In the last decade, Artificial Neural Network (ANN) has been developed successfully for textile nonlinear processes. In spite of the precision, ANN is a black box and does not indicate inter-relationship between input and output parameters. Hence, Gene Expression Programming (GEP) is presented here as an intelligent algorithm to predict breaking strength of rotor spun yarns based on draw frame parameters as one of the most important stages in spinning line. Forty eight samples were produced and different models were evaluated. Prediction performance of the GEP was compared with that of ANN using Mean Square Error (MSE) and correlation coefficient (R2-Value) parameters on test data. The results showed a better capability of the GEP model in comparison to the ANN model. The R2-value and MSE were 97% and 0.071 respectively which means desirable predictive power of GEP algorithm. Finally, an equation was extracted to predict breaking strength of the yarns with a high degree of accuracy using GEP algorithm.

The New Technique of Energy-Saving Control in Airport Winter Construction

2012 ◽  
Vol 209-211 ◽  
pp. 1770-1773
Author(s):  
Yan Liu ◽  
Jun Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Control Technique ◽  
Construction Technology ◽  
Concrete Material ◽  
Reduce Energy Consumption ◽  
Curing Method ◽  
Save Energy ◽  
Energy Saving Control ◽  
Material Temperature

This paper develops the material temperature predicting and energy-saving control technique and its specialist-aided system in order to reduce energy consumption on airport jobsite. This technique can predict the changing temperature trend after concrete material pouring and the changing maturity level of concrete, according to the key parameter information that contractors provide. Giving the results the preceding data, it can provide the optimal curing method, thermal insulation and construction technology. This technique helps contractors find optimal solutions to save energy and resources in airport winter construction and avoid the unnecessary energy consumption.

Analysis and Practice of Cleaner Production in a Wastepaper Papermaking Enterprise

2014 ◽  
Vol 535 ◽  
pp. 237-240
Author(s):  
Mei Wang ◽  
Ming Yang ◽  
Ke Wu Pi ◽  
Lin Xia Gao
Keyword(s):  
Energy Consumption ◽  
Material Balance ◽  
Cleaner Production ◽  
Raw Material ◽  
Production Potential ◽  
Advanced Technologies ◽  
Balance Analysis ◽  
Reduce Energy Consumption ◽  
Save Energy ◽  
Production Solutions

Cleaner production is one of sustainable development approaches for wastepaper papermaking industry. Current situation of a wastepaper papermaking enterprise was analyzed, and it showed that the unit product energy consumption, pollutant generation had large cleaner production potential. 16 cleaner production solutions were generated through material balance analysis, advanced technologies collection, experts consultation and other ways. After the plans were carried out, 7.83% of pollutants were cut down, 7.62% of energy was saved, 1.57% of waste paper was reduced, 1.68% of dry fiber raw material was decreased, and 8.80% of reused industrial water increased equally. Cleaner production was an effective way for wastepaper papermaking industry to save energy, reduce energy consumption, reduce pollution, and increase benefit.

The Clean Production Examination and Verification of a Liquid Milk Factory

2012 ◽  
Vol 178-181 ◽  
pp. 1055-1059
Author(s):  
Lin Xia Gao ◽  
Ke Wu Pi ◽  
Duan Ji Wan ◽  
Mei Wang
Keyword(s):  
Energy Consumption ◽  
Environmental Protection ◽  
Economic Efficiency ◽  
Cleaner Production ◽  
Clean Production ◽  
Liquid Milk ◽  
Reduce Energy Consumption ◽  
Save Energy ◽  
Increase Efficiency

The goal of clean production a new environmental protection concept to all businesses is to save energy, reduce energy consumption, reduce consumption, and increase efficiency. The ultimate aim is to protect the environment and enhance its environmental and economic efficiency to achieve the win-win situation. A milk factory establishes the firm foundations to develop lastingly for enterprises by the cleaner production reform which is the surest way to achieve the environmental and economic efficiency.

Test and Analysis of Shengma Pure Yarn and Shengma/Modal Blended Yarn Mechanical Property

2011 ◽  
Vol 322 ◽  
pp. 310-313
Author(s):  
Qing Bin Yang
Keyword(s):  
Mechanical Property ◽  
Breaking Strength ◽  
Blended Yarn ◽  
Twist Factor ◽  
Spun Yarn ◽  
Yarn Properties

To discuss yarn mechanics property of shengma pure yarn or shengma modal blended yarn with different twist factor and different blending ratio were spun, yarn properties were analyzed. The test shows that shengma contents is about 70%, yarn breaking strength is the lowest, when shengma contents is about 30%-40%, the influences on yarn breaking strength and elongation is simultaneity. 70% is the suitable ratio for shengma fiber in spinning production.

Naval Energy Management System

2020 ◽  
Vol 26 (3) ◽  
pp. 20-25
Author(s):  
Laurențiu Bogdan Asalomia ◽  
Gheorghe Samoilescu
Keyword(s):  
Energy Consumption ◽  
Power Systems ◽  
New Technologies ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Efficient Management ◽  
Reduce Energy Consumption ◽  
Energy Efficiency Design Index ◽  
Green Ship

AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.

Sign in / Sign up

Export Citation Format

Share Document