Research and Design of the New Investment Casting Production Line

2012 ◽  
Vol 152-154 ◽  
pp. 1858-1864 ◽  
Author(s):  
Xing Rong Chou ◽  
Yong Xing Kang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Investment Casting ◽  
Production Line ◽  
Production Efficiency ◽  
Average Rate ◽  
Production Capacity ◽  
Rejection Rate ◽  
New Production ◽  
Casting Production

To reduce the energy consumption of investment casting production, reduce labor intensity and improve product quality and production efficiency,a investment casting production line of automation and low energy consumption has been researched and designed. The major equipments of the new production line were designed, such as energy-saving roaster, casting conveyor, roasting car,stop-mechanism,off pieces-machine, etc.The annual production capacity of the production line builted is increased by 23%, the rejection rate is reduced by 30%, the average rate of liquid steel products is increased by 5%, the annual supplies and energy saving is 3 times the investment.

Study on Energy Consumption and Energy Saving Emission for the Low Carbon Economy in Yunnan with Uncertain Factors and Policy Recommendations

2013 ◽  
Vol 648 ◽  
pp. 198-201
Author(s):  
Qiang He ◽  
Qian Tan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Energy Saving ◽  
Production Capacity ◽  
Data Uncertainty ◽  
Policy Recommendations ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Low Carbon Development ◽  
Carbon Economy

The paper uses a large amount of data uncertainty analysis of a the Yunnan "12th Five-Year" period of low-carbon development, pointed out that economic development, eliminate backward production capacity, energy consumption and energy saving will be contradictions, and the main problem of the reality of low-carbon development in Yunnan.

A Study about Energy Consumption and Economic Growth in Qinghai Based on the Co-Integration Analysis

2013 ◽  
Vol 397-400 ◽  
pp. 688-695
Author(s):  
Sheng Mei Li ◽  
Pei Ji Shi ◽  
Qiang Zhou
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Saving ◽  
Production Efficiency ◽  
High Energy ◽  
Annual Data ◽  
Qinghai Province ◽  
Starting Point ◽  
Integration Analysis

Qinghai province was an important and special province in the western in china. Although great changes in all aspects in Qinghai Province in recent years, but due to long-term economic growth, the starting point of production and energy consumption was low, also the production efficiency was poor. There still exists the traditional mode in the economic structure with high energy consumption and low output in basic industries. This study analyzed the relationship between GDP increasing and total energy consumption using co-integration method based on 20 sets of annual data during 1992-2011 in Qinghai province. By the study we found energy development and utilization play an important role in it along with the steady and rapid growth of economy. During the past 20 years energy use efficiency has been improved greatly, but there was still a large potential for energy saving. This paper analyzes the relation between economic growth and energy consumption of Qinghai Province from 1992 to 2011 using the methods of co-integration analysis. The empirical results show that fluctuations relationship existing between Qinghai energy consumption and GDP in the short term, but in the long run there was a long-term stab equilibrium relationship between them. So there will be a lot of space of energy savings in the future relying on scientific and technological progress. Energy industry should be developed further synchronously in order to achieve energy-saving and emission reduction and sustainable development.

Energy Management in Manufacturing Systems

2011 ◽  
Author(s):  
Qing Chang ◽  
Guoxian Xiao ◽  
Lin Li ◽  
Stephan Biller
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Management ◽  
Production System ◽  
Manufacturing Systems ◽  
Production Management ◽  
Production Efficiency ◽  
Manufacturing System ◽  
Energy Savings ◽  
Energy System

Conventionally, improving production efficiency, flexibility and responsiveness has been the primary research focus of production management, while energy consumption has received relatively little attention. Energy consumption plays a more and more important role in manufacturing environment. This is mainly driven by energy cost and environmental concerns. When the energy system becomes complicated and coupled with ongoing production, it is very difficult to hunt the “hidden treasure” which affects the overall benefit of a manufacturing system. This paper provides a systematic method for energy management in a production system. We start from dynamic production transient analysis and provide quantitative analysis for energy saving opportunity in a system. Furthermore, energy saving is integrated into production system which includes downtime and throughput to provide integrated energy management framework for a production system. A case study is conducted to demonstrate its potential on energy savings in a multi-stage manufacturing system.

scholarly journals MONITORING ENERGY SAVING PROCESSES IN PRODUCTION SYSTEMS BASED ON MATHEMATICAL STATISTICS

2021 ◽  
Vol 23 (4) ◽  
pp. 57-64
Author(s):  
A.I. Shinkevich ◽  
◽  
T.V. Malysheva ◽  
L.N. Ivanova ◽  
◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Average Rate ◽  
Electrical Energy ◽  
Energy Resources ◽  
Mathematical Statistics ◽  
Energy Losses ◽  
Technological Systems ◽  
Limit Values ◽  
The Cost

The article is devoted to the urgent problem of organizing and managing resource-saving industrial chemical-technological systems and increasing the competitiveness of products. To increase the efficiency of the implementation of energy-saving technologies, it is necessary to conduct continuous energy monitoring and control, which is currently difficult due to the imperfection of the mechanism for the practical implementation of energy management systems. The purpose of the article is to study the trends in the dynamics of the energy component of the cost of production and the transformation of the structure of energy resources, to assess the maximum rate of electricity losses in chemical-technological systems on the basis of mathematical statistics. To achieve this goal, the article uses scientific and organizational approaches to the study of the energy efficiency of chemical technological systems, among the methods of mathematical modeling, methods of descriptive statistics have been effectively applied, and a method is proposed for assessing energy losses based on the dependence of the range of limit values of energy consumption on the average rate according to the best available technologies. Positive trends in the change in the energy consumption of products of chemical-technological systems in general for all resources have been determined against the background of an increase in electrical energy consumption and a decrease in heat consumption. A fairly significant movement of the structure of fuel and energy resources for certain items was revealed, which is associated with a change in the cost of fuel and electricity, the introduction of new technologies into production, as well as a certain effect from the implementation of energy conservation programs. A positive trend has been established to reduce the amount of energy losses at Russian industrial enterprises while maintaining a relatively high level of technological losses in absolute terms. The necessity of taking into account the absolute value of the energy consumption of products when determining the rate of loss of energy resources at the stage of design or modernization of chemical production is substantiated on the basis of the revealed correlation dependences of the range of limit values of electricity consumption from the average rate of energy consumption. The limiting limits of the norms for the loss of electrical energy are estimated on the example of solution polymerization rubbers with different levels of electrical energy capacity during production. The results of the study are theoretically and practically significant for the development of models and algorithms for intelligent energy systems intended for monitoring the level of consumption and losses of energy resources in chemical-technological systems with subsequent diagnostics of deviations in resource consumption from the specified values.

Analysis and Optimization of Production Line Balance Based on ECRSI

2014 ◽  
Vol 912-914 ◽  
pp. 1588-1591
Author(s):  
Jian Gang Yi
Keyword(s):  
Production Line ◽  
Original Work ◽  
Production Capacity ◽  
Process Time ◽  
Optimization Scheme ◽  
New Production ◽  
Line Balance ◽  
Before And After ◽  
Line Process ◽  
Line Work

The optimization of production line process from the aspect of enterprise production line balance is studied in this paper. By using the ECRSI method, the production process is analyzed, and the optimization scheme is put forward. Through the comparison of the process time before and after optimization, the effectiveness of the optimization solution is verified. The proposed approach solves the bottleneck problem of production line, improves the production capacity of enterprises, overcomes the defects of the original work process, provides the basis for the formulation of new production line work standards, and has widely application value.

Experimental Study of New Rubber Plastication Method

2013 ◽  
Vol 345 ◽  
pp. 228-232
Author(s):  
Ping Fu
Keyword(s):  
Experimental Study ◽  
Energy Consumption ◽  
Power Dissipation ◽  
Production Efficiency ◽  
Specific Energy Consumption ◽  
Production Capacity ◽  
Optimal Process ◽  
Rubber Industry ◽  
Experimental Platform ◽  
Internal Mixer

At present, the open mill, internal mixer and screw plasticator were used widely in the rubber industry. But they belonged to the intermittent mixing equipments and had shortcomings that could not be avoided. According to these problems, a new experimental platform for rubber mastication was self-made and the optimal process parameters were determined in this paper. Through the massive experiment contrast result, the maximum power dissipation of the block rubber continuous mastication machine was lower than internal mixer when produced the same amount of rubber, specific energy consumption was also lower. And production capacity was 3 times than internal mixer, Mooney stick degrees approached to that of internal mixer. All of these indicated that new rubber mastication experimental platform improved production efficiency and reduced the energy consumption.

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

Design and Implementation of Low Energy Wireless Network Nodes based on Hardware Compression Acceleration

2019 ◽  
Vol 12 ◽  
Author(s):  
Hui Yang ◽  
Anand Nayyar
Keyword(s):  
Energy Consumption ◽  
Data Compression ◽  
Energy Saving ◽  
Optimization Design ◽  
Hardware Acceleration ◽  
Transmission Efficiency ◽  
General Purpose ◽  
Storage Space ◽  
General Purpose Processor ◽  
Compression Time

: In the fast development of information, the information data is increasing in geometric multiples, and the speed of information transmission and storage space are required to be higher. In order to reduce the use of storage space and further improve the transmission efficiency of data, data need to be compressed. processing. In the process of data compression, it is very important to ensure the lossless nature of data, and lossless data compression algorithms appear. The gradual optimization design of the algorithm can often achieve the energy-saving optimization of data compression. Similarly, The effect of energy saving can also be obtained by improving the hardware structure of node. In this paper, a new structure is designed for sensor node, which adopts hardware acceleration, and the data compression module is separated from the node microprocessor.On the basis of the ASIC design of the algorithm, by introducing hardware acceleration, the energy consumption of the compressed data was successfully reduced, and the proportion of energy consumption and compression time saved by the general-purpose processor was as high as 98.4 % and 95.8 %, respectively. It greatly reduces the compression time and energy consumption.

Layout design of a mixed-flow production line based on processing energy consumption and buffer configuration

2021 ◽  
Author(s):  
Cai-Xia Zhang ◽  
Shu-Lin Dong ◽  
Hong-Yan Chu ◽  
Guo-Zhi Ding ◽  
Zhi-Feng Liu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Production Line ◽  
Layout Design ◽  
Mixed Flow ◽  
Processing Energy

scholarly journals Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Storage System ◽  
Operation Mode ◽  
Systematic Method ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Air Conditioning Systems

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method through observation, test, and identification (OTI) has several drawbacks such as time consumption and narrow focus. To overcome these problems, this study proposed a systematic method for energy-saving diagnosis in air-conditioning systems based on data mining. The method mainly includes seven steps: (1) data collection, (2) data preprocessing, (3) recognition of variable-speed equipment, (4) recognition of system operation mode, (5) regression analysis of energy consumption data, (6) constraints analysis of system running, and (7) energy-saving potential analysis. A case study with a complicated air-conditioning system coupled with an ice storage system demonstrated the effectiveness of the proposed method. Compared with the traditional OTI method, the data-mining-based method can provide a more comprehensive analysis of energy-saving potential with less time cost, although it strongly relies on data quality in all steps and lacks flexibility for diagnosing specific equipment for energy-saving potential analysis. The results can deepen the understanding of the operating data characteristics of air-conditioning systems.

Sign in / Sign up

Export Citation Format

Share Document