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Online since: August 2013
Authors: Han Cui, Huan Liu
Study on Automation Control with Noise Control of Oil Sucking Machine
Huan Liu 1,a, Han Cui2,b
1 Shenyang University of Chemical Technology, Shenyang110142 , China
2Shenyang University of Chemical Technology, Shenyang110142 , China
alh9940@163.com, bcuihan1981@126.com
Key words: Oil Sucking Machine, Noise Characteristic, Noise Reduction
Abstract.Sound insulation encasing is an effective device for noise reduction.
The original noise test For the effective management of pumping unit motor noise pollution, the first of its workshop of the raw data measurement, noise measurement with GB 12349-1990 factory boundary noise measurement method set,measuring device: Denmark B&K 2238 mediator noise spectrum analyzer;measurement of content.For steady state noise, measurement of 1min within the equivalent noise,noise for periodic noise, measurement of 1 cycles within the equivalent sound level, when the noise level distribution obviously segmented, according to different levels of measurement is simplified, and according to the different period of time to calculate the equivalent sound level, the noise is unsteady periodic noise, measurement of the normal working time equivalent sound level,the measurement time: at the DUT's normal working hours,the arrangement of measuring points,at a distance from the noise sensitivity of recent point arrangement of measuring points, spaced points between sound level difference
For sound insulation cover shell shape design optimization, in order to prevent the air inside the cover of acoustic standing wave effect; at the same time in the shield wall between the fan and have a certain space, avoid coupling resonance, so that the sound insulation quantity curve trough.In order to avoid acoustic bridge appears, make noise reduction in sound insulation cover, and motor and base for vibration isolation, to prevent solid sound.
According to the fan noise spectrum and noise reduction requirements, determine the level of sound insulation and sound insulation cover for the band sound insulation quantity.Table 2 lists the fan sound insulation cover band sound insulation quantity.
By setting the sound insulation cover, sound insulation and sound absorption body to realize the engine room noise pollution comprehensive control field noise reduction facilities, the noise value are up to standard.
The original noise test For the effective management of pumping unit motor noise pollution, the first of its workshop of the raw data measurement, noise measurement with GB 12349-1990 factory boundary noise measurement method set,measuring device: Denmark B&K 2238 mediator noise spectrum analyzer;measurement of content.For steady state noise, measurement of 1min within the equivalent noise,noise for periodic noise, measurement of 1 cycles within the equivalent sound level, when the noise level distribution obviously segmented, according to different levels of measurement is simplified, and according to the different period of time to calculate the equivalent sound level, the noise is unsteady periodic noise, measurement of the normal working time equivalent sound level,the measurement time: at the DUT's normal working hours,the arrangement of measuring points,at a distance from the noise sensitivity of recent point arrangement of measuring points, spaced points between sound level difference
For sound insulation cover shell shape design optimization, in order to prevent the air inside the cover of acoustic standing wave effect; at the same time in the shield wall between the fan and have a certain space, avoid coupling resonance, so that the sound insulation quantity curve trough.In order to avoid acoustic bridge appears, make noise reduction in sound insulation cover, and motor and base for vibration isolation, to prevent solid sound.
According to the fan noise spectrum and noise reduction requirements, determine the level of sound insulation and sound insulation cover for the band sound insulation quantity.Table 2 lists the fan sound insulation cover band sound insulation quantity.
By setting the sound insulation cover, sound insulation and sound absorption body to realize the engine room noise pollution comprehensive control field noise reduction facilities, the noise value are up to standard.
Online since: January 2018
Authors: Nick de Cristofaro, Sada Sahu, Jason Bryant, Vincent Meyer
This translates into reduced CO2 emissions during cement manufacturing (30% reduction).
The common levers are related to performance: SHC, waste fuels (biomass), reduction in clinker factor.
This reduction in lime concentration translates directly into a 30% reduction in the major component of the theoretical enthalpy, i.e., the calcination step.
· The clinkering temperatures reduction of about 200°C: 270 to 190 kg CO2 per ton clinker.
Additional data will be available with the actions foreseen in Solid LIFE project, to continue to prove the environmental benefits reached by the technology.
The common levers are related to performance: SHC, waste fuels (biomass), reduction in clinker factor.
This reduction in lime concentration translates directly into a 30% reduction in the major component of the theoretical enthalpy, i.e., the calcination step.
· The clinkering temperatures reduction of about 200°C: 270 to 190 kg CO2 per ton clinker.
Additional data will be available with the actions foreseen in Solid LIFE project, to continue to prove the environmental benefits reached by the technology.
Online since: September 2013
Authors: A.A. Mat Isa, M.A. Ismail, Wan Sulaiman Wan Mohamad
When the data of phase angle is unavailable, the balancing can still be performed by using four-run method [3].
The experimental set up consists of rotor equipment, accelerometers, a data collector and a digital balance.
The data collector then records the measured vibration readings.
Table 2: Vibration reductions for the single-plane balancing B.
Those figures can be summarized in Table 4 in terms of the vibration reductions.
The experimental set up consists of rotor equipment, accelerometers, a data collector and a digital balance.
The data collector then records the measured vibration readings.
Table 2: Vibration reductions for the single-plane balancing B.
Those figures can be summarized in Table 4 in terms of the vibration reductions.
Online since: July 2023
Authors: Togar Saragi, Risdiana Risdiana, Dita Puspita Sari, Utami Widyaiswari, Muhammad Abdan Syakuur, Yati Maryati
Furthermore, from the data temperature dependence of the dc magnetic-susceptibility, it can be analyzed the Curie constant, atomic magnetic moment and effective magnetic moment in each sample.
For samples with x = 0.09, and 0.10, no trace superconductivity was observed from dc magnetic-susceptibility data.
To identify samples that do not show a trace of superconductivity, susceptibility data were analyzed using Eq. 1.
Extrapolation on this data indicates that the value of 𝜃 was negative, as shown in Fig. 4.
The data can be extracted from these curves to find the values of the Curie constant, magnetic moment per volume, and the effective magnetic moment [21].
For samples with x = 0.09, and 0.10, no trace superconductivity was observed from dc magnetic-susceptibility data.
To identify samples that do not show a trace of superconductivity, susceptibility data were analyzed using Eq. 1.
Extrapolation on this data indicates that the value of 𝜃 was negative, as shown in Fig. 4.
The data can be extracted from these curves to find the values of the Curie constant, magnetic moment per volume, and the effective magnetic moment [21].
Online since: February 2014
Authors: Jun Tan, Hai Ming Zhao
The ETL process is equivalent to data preprocessing step of data mining including data clean, data transform and data integration etc.
Data mining can extract schema and discover knowledge in data from data warehouse which is not provided by data warehouse.
The model describes data relation in the form of data cube which allows user to observe data and model data from multi-dimensional angle.
Logic suggests that OLAP server provides multi-dimensional data from data warehouse or data mart for users, and need not consider how to store data and where data is stored.
Hierarchical decision making for proactive quality control: System development for defect reduction in automotive coating operation [J].
Data mining can extract schema and discover knowledge in data from data warehouse which is not provided by data warehouse.
The model describes data relation in the form of data cube which allows user to observe data and model data from multi-dimensional angle.
Logic suggests that OLAP server provides multi-dimensional data from data warehouse or data mart for users, and need not consider how to store data and where data is stored.
Hierarchical decision making for proactive quality control: System development for defect reduction in automotive coating operation [J].
Online since: February 2014
Authors: Fang Ping Zhang, Fei Lai, Zhi Feng Ren, Hai Lian Gui, Chun Jiang Zhao, Bin Yu Sun
According to the analysis on the experiment data, the relationship between strengthening indexσunder cold state and the relative deformationεcan be denoted as power function:
(3)
where σ0 denotes the strengthening index of metal as ε=0,αand n denote the constant relative with metal property.
The experience formula can be obtained by experimental data regression. 2.
The original data is shown in table 1.
Original data of calculation Initial pipe wall-thickness 4.1mm Exit speed 3.958m/s Entry speed 1.1m/s Exit temperature 765˚C Entry temperature 880˚C Total extension 3.597 Finished pipe wall-thickness 3.17mm Fiction coefficient 0.02 The calculation results and measurement curve is shown in Fig.4.
Fig.4 Deformation resistance curve Conclusion Deformation resistance is calculated by Lagrange interpolation method in steel pipe tension-reduction process.
The experience formula can be obtained by experimental data regression. 2.
The original data is shown in table 1.
Original data of calculation Initial pipe wall-thickness 4.1mm Exit speed 3.958m/s Entry speed 1.1m/s Exit temperature 765˚C Entry temperature 880˚C Total extension 3.597 Finished pipe wall-thickness 3.17mm Fiction coefficient 0.02 The calculation results and measurement curve is shown in Fig.4.
Fig.4 Deformation resistance curve Conclusion Deformation resistance is calculated by Lagrange interpolation method in steel pipe tension-reduction process.
Online since: February 2015
Authors: Evgeny Kolesnikov, Denis V. Kuznetsov, Vera Levina, Anna Godymchuk, Nikolay Polushin
However, no literature data concerning the process of obtaining cobalt nanoparticles with the use of surfactants have yet been found.
Results and discussion The experimental data have stated that the process of Co(OH)2 reduction in nonisothermal conditions was developing in three stages (Fig. 1): I – removal of adsorbed moisture; II – elimination of structured water with Co3O4 compound, proved by the X-ray phase analysis data; III – reduction of oxide to metallic cobalt.
According to the X-ray phase analysis data, all metallic samples consisted of the phase α-Co (table).
According to BET data, nanopowder surface was increasing in “CPCl - EDTANa2 -PEG - SLS” surfactants, achieving its maximum value for the sample obtained from hydroxide precipitated in an anionogenic surfactant solution.\ The results obtained by the electron-microscopic analysis correlate with the specific surface analysis data (table).
Phase composition and dispersity of obtained cobalt nanopowders Surfactant-containing aqueous solution for obtaining Co(OH)2 (surfactant concentration – 0.1 wt.%) Phase composition X-ray data S, [m2/g] BET data Average particles size dav, [nm] BET data SEM data No surfactants α-Co 4.5 148 123 EDTANa2 5.0 134 94 SLS 9.5 70 55 CPCl 3.7 183 116 PEG 6.0 112 98 We have conducted a microscopic examination of the metallic cobalt samples obtained from the Co(OH)2 precipitated with the usage of different surfactants (Fig. 3).
Results and discussion The experimental data have stated that the process of Co(OH)2 reduction in nonisothermal conditions was developing in three stages (Fig. 1): I – removal of adsorbed moisture; II – elimination of structured water with Co3O4 compound, proved by the X-ray phase analysis data; III – reduction of oxide to metallic cobalt.
According to the X-ray phase analysis data, all metallic samples consisted of the phase α-Co (table).
According to BET data, nanopowder surface was increasing in “CPCl - EDTANa2 -PEG - SLS” surfactants, achieving its maximum value for the sample obtained from hydroxide precipitated in an anionogenic surfactant solution.\ The results obtained by the electron-microscopic analysis correlate with the specific surface analysis data (table).
Phase composition and dispersity of obtained cobalt nanopowders Surfactant-containing aqueous solution for obtaining Co(OH)2 (surfactant concentration – 0.1 wt.%) Phase composition X-ray data S, [m2/g] BET data Average particles size dav, [nm] BET data SEM data No surfactants α-Co 4.5 148 123 EDTANa2 5.0 134 94 SLS 9.5 70 55 CPCl 3.7 183 116 PEG 6.0 112 98 We have conducted a microscopic examination of the metallic cobalt samples obtained from the Co(OH)2 precipitated with the usage of different surfactants (Fig. 3).
Online since: January 2013
Authors: Milan Tasic, Zoran Stamenic, Zarko Miskovic, Dragan Jovanovic, Radivoje Mitrovic
Data acquisition and processing are also considered, which includes control, monitoring and automatisation of the test stand.
For such measurements, appropriate sensors and devices for general-purpose data acquisition are needed.
The obtained data can be used to define the load spectrum which is simulated in the laboratory.
The data collected enabled the determination of the working characteristics of all types of conveyor idlers, as well as a comparative analysis.
An example of recorded data is shown in Fig. 13.
For such measurements, appropriate sensors and devices for general-purpose data acquisition are needed.
The obtained data can be used to define the load spectrum which is simulated in the laboratory.
The data collected enabled the determination of the working characteristics of all types of conveyor idlers, as well as a comparative analysis.
An example of recorded data is shown in Fig. 13.
Online since: December 2012
Authors: Ya Fen Han, Qi Li
Based on the statistics data from 1995 to 2010 in Shanxi industry, this article selects four indexes which include the energy and water consumption, waste gas, SO2, mist and dust, waste water, COD, per 104 RMB Yuan, and establishes environment learning curves of energy consumption and air pollution, water consumption and pollution in Shanxi province.
Data Source and Research Method 1.1 Data source Based on data from China energy statistics Yearbook and Shanxi Statistical Yearbook, we collect the relevant data from 1995 to 2010 of resources consumption and environmental pollution in detail, and we select eight indices, which include energy consumption, water consumption, SO2 discharge, COD discharge, waste water, waste gas, mist and dust per 104 RMB Yuan, to reflect the influence of economic development on resource-environment system.
Establish of Environment Learning Curve Learning Curve represents the process of reduction man-hour, cost reduction, enhancement production efficiency through the producer improves technique of production and operating procedure unceasingly by study and experience's accumulation [6].
The Relation between Energy Consumption and Air Quality and Countermeasures for Energy-Saving and Emission Reduction.
Analysis of Different Implementation Methods for Energy Conservation and Emission Reduction by Examining the Characteristics of Energy Intensity of Industrial Sectors.
Data Source and Research Method 1.1 Data source Based on data from China energy statistics Yearbook and Shanxi Statistical Yearbook, we collect the relevant data from 1995 to 2010 of resources consumption and environmental pollution in detail, and we select eight indices, which include energy consumption, water consumption, SO2 discharge, COD discharge, waste water, waste gas, mist and dust per 104 RMB Yuan, to reflect the influence of economic development on resource-environment system.
Establish of Environment Learning Curve Learning Curve represents the process of reduction man-hour, cost reduction, enhancement production efficiency through the producer improves technique of production and operating procedure unceasingly by study and experience's accumulation [6].
The Relation between Energy Consumption and Air Quality and Countermeasures for Energy-Saving and Emission Reduction.
Analysis of Different Implementation Methods for Energy Conservation and Emission Reduction by Examining the Characteristics of Energy Intensity of Industrial Sectors.
Online since: November 2015
Authors: S. Natarajan, Kamesh Kamesh, R. Sheshathri, Alagumalai Avinash
The results indicated that a maximum of 70% NOx reduction was achieved when the engine was fuelled with diesel-ethanol blends at a constant flow rate of 0.75 lit/hr with an urea concentration of 35%, and also that 66% reduction of NOx was achieved, using the Titanium dioxide catalyst in the Selective Catalytic Reduction system with neat diesel.
The objective of this project work was to determine the maximum reduction of NOx emissions, using the Selective Catalytic Reduction system.
The measurements were taken after the steady state of the engine for each set of readings.To simulate the temperature, a variation of the urea solution is carried out through the following sequence: In the geometry step, an assumed model as per previous collected data and dimensions was created.In the mesh step, the model was divided into a number of finite elements by fine CFD meshing, and the various regions of the model was named .In the set up step, the meshed model was checked and scaled.
[2] Ghosh, S., Chaudhuri, S.N., and Dutta, D.(2013) Reduction of NOx emission by urea injection and marine ferromanganese nodule as Selective Catalytic Reduction System of diesel engine.
[8] Tamaldin, N., Roberts, C.A., and Benjamin, S.F.(2010) Experimental study of SCR in a light duty diesel exhaust to provide data for validation of a CFD model using the porous medium approach.
The objective of this project work was to determine the maximum reduction of NOx emissions, using the Selective Catalytic Reduction system.
The measurements were taken after the steady state of the engine for each set of readings.To simulate the temperature, a variation of the urea solution is carried out through the following sequence: In the geometry step, an assumed model as per previous collected data and dimensions was created.In the mesh step, the model was divided into a number of finite elements by fine CFD meshing, and the various regions of the model was named .In the set up step, the meshed model was checked and scaled.
[2] Ghosh, S., Chaudhuri, S.N., and Dutta, D.(2013) Reduction of NOx emission by urea injection and marine ferromanganese nodule as Selective Catalytic Reduction System of diesel engine.
[8] Tamaldin, N., Roberts, C.A., and Benjamin, S.F.(2010) Experimental study of SCR in a light duty diesel exhaust to provide data for validation of a CFD model using the porous medium approach.