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Online since: April 2022
Authors: Piyathida Karnsarng, Kwanrat Suanpong, Parames Chutima
In addition, fundamental principles of statistics are applied to analyze the data obtained from the experiment to determine the root cause of product defects [6].
In the first stage, the main problem with the production process acquired using the voice of the customer was identified using data obtained through record data, observation, and interviews with the production control manager, production supervisor, and some employees.
Table. 1 shows the defects from the main process of die and punch production, considering customer complaints and record data from October 2020 – March 2021.
Data related to problems arising in the die and punch production process was collected to analyze and determine the maximum results, mainly using bar graphs.
Chutima: Contactless Chip Module Defect Reduction.
In the first stage, the main problem with the production process acquired using the voice of the customer was identified using data obtained through record data, observation, and interviews with the production control manager, production supervisor, and some employees.
Table. 1 shows the defects from the main process of die and punch production, considering customer complaints and record data from October 2020 – March 2021.
Data related to problems arising in the die and punch production process was collected to analyze and determine the maximum results, mainly using bar graphs.
Chutima: Contactless Chip Module Defect Reduction.
Online since: December 2012
Authors: Fan Lin, Xue Jiao Zhao
Modeling and Testing of Linear Electric Servo System
Xuejiao Zhao1,a, Fan Lin2,b
1Department of Flight Vehicle and Control, Beijing Institute of Technology, Beijing 100081, China
2 Department of Flight Vehicle and Control, Beijing Institute of Technology, Beijing 100081, China
ajiaojiao.7111@163.com, blinfanjy@bit.edu.cn
Keywords: model of the electric servo system; data processing; test of Amplitude and Phase frequency characteristics.
A mathematic model of the electric servo system was founded in this paper and several groups of data collection and data processing were executed to check up the model veracity.
This paper described the data processing steps and analyzed the contrast of test and simulation results.
The time constant will be too large to achieve the requirements of fast [2] without a reducer with a large reduction ratio.
The reduction ratio of this servo system is calculated as Eq. 3
A mathematic model of the electric servo system was founded in this paper and several groups of data collection and data processing were executed to check up the model veracity.
This paper described the data processing steps and analyzed the contrast of test and simulation results.
The time constant will be too large to achieve the requirements of fast [2] without a reducer with a large reduction ratio.
The reduction ratio of this servo system is calculated as Eq. 3
Online since: December 2013
Authors: Jun Gu, Xiao Dong Chen, Hai Bing Liu
Keywords: NOx; selective catalytic reduction; cement kiln
Abstract.
U.S. plants presently using or installing show that on average, SNCR achieves approximately a 35% reduction at an NSR of 0.5 and a 63% reduction at an NSR of 1.0.
In addition, there is accumulating data on the ability of SCR to control emissions of other pollutants,including VOC, dioxins and furans, ammonia, and mercury.
Reduction of nitrogen oxides with SNCR technology at Slite cement plant.
Reduction of NOx Emissions from Exhaust Gases of Cement Kilns by SelectiveCatalytic Reduction.
U.S. plants presently using or installing show that on average, SNCR achieves approximately a 35% reduction at an NSR of 0.5 and a 63% reduction at an NSR of 1.0.
In addition, there is accumulating data on the ability of SCR to control emissions of other pollutants,including VOC, dioxins and furans, ammonia, and mercury.
Reduction of nitrogen oxides with SNCR technology at Slite cement plant.
Reduction of NOx Emissions from Exhaust Gases of Cement Kilns by SelectiveCatalytic Reduction.
Online since: September 2013
Authors: Xiu Ping Yao, Pu Yan Zheng, Du Wang, Yan Zhou Yuan
The chosen of heating scheme is affected by the index of energy-saving and emission-reduction.
The data of Scheme 1 is shown in Table 1.
The thermal system of Scheme 2 is shown in Fig.2 and the data of Scheme 2 is shown in Table 2.
The data of Scheme 3 is shown in Table 3.
Conclusions In this thesis the energy-saving and emission-reduction of the heating schemes for the urban area are compared.
The data of Scheme 1 is shown in Table 1.
The thermal system of Scheme 2 is shown in Fig.2 and the data of Scheme 2 is shown in Table 2.
The data of Scheme 3 is shown in Table 3.
Conclusions In this thesis the energy-saving and emission-reduction of the heating schemes for the urban area are compared.
Online since: September 2024
Authors: Daniela Buske, Guilherme Jahnecke Weymar, Régis Sperotto de Quadros, João Gabriel Piraine Bandeira, Gustavo Braz Kurz, Igor da Cunha Furtado
The study underscores a reliable approach to noise reduction and insight into concentration-dependent
heat transfer dynamics.
This application finds utility in diverse fields like signal processing, data analysis, and mathematical modeling, enhancing the accuracy of information extracted from noisy functions.
Methodology Noise reduction.
Results and Discussion Noise reduction.
In summary, the proposed methodology offers an approach for noise reduction in mathematical functions, with potential applications in areas such as signal processing, data analysis, and mathematical modeling.
This application finds utility in diverse fields like signal processing, data analysis, and mathematical modeling, enhancing the accuracy of information extracted from noisy functions.
Methodology Noise reduction.
Results and Discussion Noise reduction.
In summary, the proposed methodology offers an approach for noise reduction in mathematical functions, with potential applications in areas such as signal processing, data analysis, and mathematical modeling.
Online since: May 2011
Authors: Zheng Wang, Cheng Yang, Fen Fen Li, Wen Yu Zhang, Jin Hu Wu
The photocatalytic reduction of CO2 could be achieved over Cu/S-TiO2 under UV and visible light irradiation.
Consequently, photocatalytic reduction of CO2 over powdered catalysts is one of the most feasible methods to convert CO2 [6].
For photoelectrochemical reduction of CO2, the semiconductor anode under UV or visible light illumination produces electrons, which transfer through the external circuit to the metal cathode for the reduction of CO2 to hydrocarbons and alcohols, and holes that oxidize water to oxygen/protons [7].
All data of the reaction were taken at various times after turning on the UV light.
The effect of irradiation time on the gas products of CO2 photocatalytic reduction is shown in Fig. 5.
Consequently, photocatalytic reduction of CO2 over powdered catalysts is one of the most feasible methods to convert CO2 [6].
For photoelectrochemical reduction of CO2, the semiconductor anode under UV or visible light illumination produces electrons, which transfer through the external circuit to the metal cathode for the reduction of CO2 to hydrocarbons and alcohols, and holes that oxidize water to oxygen/protons [7].
All data of the reaction were taken at various times after turning on the UV light.
The effect of irradiation time on the gas products of CO2 photocatalytic reduction is shown in Fig. 5.
Online since: September 2011
Authors: Xiao Hua Yu, En He, Yan Qing Hou, Gang Xie
Technolygy Center of Yunnan Metallurgy Group Co. , Kunming 650031, China
ayxhyxh1978@yahoo.com.cn, b281303319@qq.com,
chhouyanqing@163.com, dgangxie@sina.com
Key Words: Thermodynamic, Polysilicon, modified Siemens process, silicon yield
Abstract: The complex chemical reactions in the Si-Cl-H system with relation to modified Siemens process have been studied in this paper based on the thermodynamic data of related substance.
The thermodynamic data and Characteristic of System There may be the following reactions in the high temperature hydrogenation process [1], the main reaction is SiHCl3(g)+H2(g)=Si(s)+3HCl(g), and the other are the side reactions, which is listed in Table 1.
The gas kinetic constant for the hydrogen reduction of SiHCl3 has been investigated [7].
SiHCl3→SiCl2+HCl (2) The kinetic constant is able to determine by fitting the decomposition rate on the growth rate data is given as Eq. (3) .
Miller; "The Thermodynamic Data for Silanes and Chlorosilanes," Sandia National Laboratories Report SAND, 87-8215B, 1-87 (1990) [7] Su, M.
The thermodynamic data and Characteristic of System There may be the following reactions in the high temperature hydrogenation process [1], the main reaction is SiHCl3(g)+H2(g)=Si(s)+3HCl(g), and the other are the side reactions, which is listed in Table 1.
The gas kinetic constant for the hydrogen reduction of SiHCl3 has been investigated [7].
SiHCl3→SiCl2+HCl (2) The kinetic constant is able to determine by fitting the decomposition rate on the growth rate data is given as Eq. (3) .
Miller; "The Thermodynamic Data for Silanes and Chlorosilanes," Sandia National Laboratories Report SAND, 87-8215B, 1-87 (1990) [7] Su, M.
Online since: September 2013
Authors: Jing Luo, Hai Feng Liu
The mechanism of soot emission reduction was discussed.
The predicted pressure and the heat release rate are compared in Fig.1 with experimental data.
The predicted emissions data agree reasonably well with the measured values.
In general, the NOx predictions agree with the measured data to within 10%, while the soot is predicted to within 20% of the measured soot in most cases.
The mechanisms of soot emission reduction were discussed.
The predicted pressure and the heat release rate are compared in Fig.1 with experimental data.
The predicted emissions data agree reasonably well with the measured values.
In general, the NOx predictions agree with the measured data to within 10%, while the soot is predicted to within 20% of the measured soot in most cases.
The mechanisms of soot emission reduction were discussed.
Online since: November 2013
Authors: Suwanna Ponpakdee, Pallapat Penchamrat, Wanatchapong Kongkaew, Sakesun Suthummanon, Nikorn Sirivongpaisal
An Application of Lean Supply Chain Management for Cost Reduction in Latex Industry
Suwanna Ponpakdee1, Nikorn Sirivongpaisal2,
Sakesun Suthummanon3, Wanatchapong Kongkaew4, Pallapat Penchamrat5
1, 2, 3, 4 Department of Industrial Engineering, Faculty of Engineering,
5 Department of Business Administration, Faculty of Management Science,
Prince of Songkla University
Corresponding author: na_dium@hotmail.com
Keywords — Lean Supply Chain Management, Latex Industry, Cost Reduction
Abstract — The objective of this research is to reduce the total systemwide cost of the latex industry supply chain.
In general, a major lean manufacturing function is in the reduction of wastes.
An optimal operation, however, could mean an increase of apparent wastes in one part of the supply chain to allow for a larger reduction of wastes elsewhere.
Application of VSM in SCM not only can help identify VA and NVA activities for waste reduction and elimination, but it can also help recognize the status of the lead time and the total cost in the supply chain from incoming parts to the finished goods. 3.
Three main steps are involved in this research: Firstly the entire supply chain data are carefully collected and analyzed; these are used to create a supply chain model for the latex industry.
In general, a major lean manufacturing function is in the reduction of wastes.
An optimal operation, however, could mean an increase of apparent wastes in one part of the supply chain to allow for a larger reduction of wastes elsewhere.
Application of VSM in SCM not only can help identify VA and NVA activities for waste reduction and elimination, but it can also help recognize the status of the lead time and the total cost in the supply chain from incoming parts to the finished goods. 3.
Three main steps are involved in this research: Firstly the entire supply chain data are carefully collected and analyzed; these are used to create a supply chain model for the latex industry.
Online since: September 2014
Authors: Xiao Hong Wang, Qing Qing Lu, Jie Xin Pu, Zhong Hua Liu
PCA is the second order statistical properties for data.
In order to use all of the information, this article analysis the B-scan data (B-scan is composed of many A-scan data).
Let us assume the B-scan data is given in Eq. 1
Therefore, dimensionality reduction can be implemented
Lastly, the B-scan data can be reconstructed by Eq.6
In order to use all of the information, this article analysis the B-scan data (B-scan is composed of many A-scan data).
Let us assume the B-scan data is given in Eq. 1
Therefore, dimensionality reduction can be implemented
Lastly, the B-scan data can be reconstructed by Eq.6