Optimal Design for Rice Straw Briquetting Process Based on Experiments

2016 ◽  
Author(s):  
Yu Wang ◽  
Yu Sun ◽  
Kai Wu ◽  
Xianfei Xia
Keyword(s):  
Experimental Data ◽  
Energy Consumption ◽  
Moisture Content ◽  
Rice Straw ◽  
Lower Energy ◽  
Optimization Design ◽  
Specific Energy Consumption ◽  
Agricultural Crop ◽  
Technological Parameters ◽  
Test Platform

Ineffective utilization of agricultural crop straw is a big problem in agricultural developing countries. In this study, optimization design was carried out for the rice straw briquetting process based on experiments. A briquetting test platform designed by the authors was used to measure the specific energy consumption, extrusion pressure, as well as the density and compressive strength of the products made by rice straw under different technological parameters. These parameters included moisture content, temperature, pressure and pressing speed. Finally, optimal technological parameters were provided based on the experimental data. Results show that, lower energy consumption and better products quality are achieved when the moisture content is within 15% ∼ 20%, the temperature is within 110 °C ∼ 120 °C, the pressure is within 50 MPa ∼ 60 MPa and the pressing speed is within 40 mm/min ∼ 60 mm/min.

Determination of grinding parameters of fenugreek seed

1970 ◽  
Vol 26 (1) ◽  
pp. 16 ◽  
Author(s):  
S Balasubramanian ◽  
Rajkumar Rajkumar ◽  
K K Singh
Keyword(s):  
Particle Size ◽  
Energy Consumption ◽  
Moisture Content ◽  
Specific Energy ◽  
Feed Rate ◽  
Average Particle Size ◽  
Specific Energy Consumption ◽  
Average Particle ◽  
Fenugreek Seeds ◽  
Fenugreek Seed

Experiment to identify ambient grinding conditions and energy consumed was conducted for fenugreek. Fenugreek seeds at three moisture content (5.1%, 11.5% and 17.3%, d.b.) were ground using a micro pulverizer hammer mill with different grinding screen openings (0.5, 1.0 and 1.5 mm) and feed rate (8, 16 and 24 kg h-1) at 3000 rpm. Physical properties of fenugreek seeds were also determined. Specific energy consumptions were found to decrease from 204.67 to 23.09 kJ kg-1 for increasing levels of feed rate and grinder screen openings. On the other hand specific energy consumption increased with increasing moisture content. The highest specific energy consumption was recorded for 17.3% moisture content and 8 kg h-1 feed rate with 0.5 mm screen opening. Average particle size decreased from 1.06 to 0.39 mm with increase of moisture content and grinder screen opening. It has been observed that the average particle size was minimum at 0.5 mm screen opening and 8 kg h-1 feed rate at lower moisture content. Bond’s work index and Kick’s constant were found to increase from 8.97 to 950.92 kWh kg-1 and 0.932 to 78.851 kWh kg-1 with the increase of moisture content, feed rate and grinder screen opening, respectively. Size reduction ratio and grinding effectiveness of fenugreek seed were found to decrease from 4.11 to 1.61 and 0.0118 to 0.0018 with the increase of moisture content, feed rate and grinder screen opening, respectively. The loose and compact bulk densities varied from 219.2 to 719.4 kg m-3 and 137.3 to 736.2 kg m-3, respectively.  

Exergy and Energy Analysis, Drying Kinetics and Mathematical Modeling of White Mulberry Drying Process

2014 ◽  
Vol 10 (2) ◽  
pp. 269-280 ◽  
Author(s):  
Hosain Darvishi ◽  
Mohammad Zarein ◽  
Saied Minaei ◽  
Hamid Khafajeh
Keyword(s):  
Mathematical Modeling ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Moisture Content ◽  
Specific Energy ◽  
Microwave Power ◽  
Specific Energy Consumption ◽  
Drying Kinetics ◽  
Improvement Potential ◽  
White Mulberry

Abstract The energy and exergy analysis, drying characteristics and mathematical modeling of the thin-layer drying kinetics of white mulberry using microwave drying were investigated. Results indicated that values of exergy efficiency (33.63–57.08%) were higher than energy efficiency (31.85–55.56%). Specific energy consumption increased with increasing microwave power while improvement potential decreased. The specific energy consumption and improvement potential varied from 3.97 to 6.73 MJ/kg water and 0.71 to 2.97 MJ/kg water, respectively. Also, energy efficiency decreased with decrease in moisture content and microwave power level. The best exergy and energy aspect was obtained by drying at 100 W microwave power. Drying took place mainly in warming up, constant rate and falling rate periods. The Page model showed the best fit to experimental drying data. Effective diffusivity increased with decreasing moisture content and increasing microwave power. It varied from 1.06 × 10−8 to 3.45 × 10−8 m2/s, with an energy activation of 3.986 W/g.

Compression characteristics and the influencing factors of sweet sorghum straw: Experimental study

BioResources ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. 9429-9443
Author(s):  
Xiaoxue Du ◽  
Hanping Mao ◽  
Chunguang Wang
Keyword(s):  
Energy Consumption ◽  
Moisture Content ◽  
Specific Energy ◽  
Sweet Sorghum ◽  
Specific Energy Consumption ◽  
Test Scheme ◽  
Compression Process ◽  
Cutting Length ◽  
Compression Characteristics ◽  
Sorghum Straw

The rheological properties of the compression process of sweet sorghum straw were studied. The selected experimental factors comprised of the compression density, cutting length, compression speed, and moisture content, and specific energy consumption were selected as the evaluation index of the compression characteristics. The Box-Behnken test scheme was used to analyze the response surface test. The results showed that the selected compression model and specific energy consumption model of the sweet sorghum straw compression process were obtained. The primary factors contributing to energy consumption were the cutting length, moisture content, and compression density. The optimal parameters were as follows: a compression density of 500 kg/m3, a cutting length of 20 mm to 30 mm, a moisture content of 60.06%, and a specific energy consumption of 66 kJ/kg. The results provided methods for reducing the total energy consumption of the compression process and a theoretical basis for the compression and bundling of sweet sorghum.

scholarly journals In Situ Monitoring of Drying Process of Masonry Walls

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6190
Author(s):  
Łukasz Cieślikiewicz ◽  
Piotr Łapka ◽  
Radosław Mirowski
Keyword(s):  
Energy Consumption ◽  
Moisture Content ◽  
Thermal Behavior ◽  
Specific Energy Consumption ◽  
Masonry Wall ◽  
In Situ Monitoring ◽  
Drying Process ◽  
Final State ◽  
The Mean

The in situ hygro-thermal behavior of a wet masonry wall during its drying process is presented in this paper. The considered wall is a part of a basement of a historic building that was subjected to renovation works. The building is located in the City of Łowicz (Poland). The drying process was implemented by applying the thermo-injection method and a novel prototype of the drying device used for this method. The dedicated acquisition system was developed to in situ monitor parameters of the drying process. The air temperature and relative humidity in various locations in the basement, temperatures and moisture contents at several points of the wet wall as well as the electrical parameters of the drying device were registered. Based on variations of the monitored parameters, the hygro-thermal behavior of the wall during drying was studied. After 6 days of drying, the wall temperature in the drying zone was increased to approximately 40–55 °C, while the moisture content was reduced to the mean level of 3.76% vol. (2.35% wt.). These wall parameters allowed for effective impregnation of the wall with the hydrophobic silicone micro-emulsion, which created horizontal and vertical waterproofing. Moreover, the specific energy consumption during the drying process defined as energy consumption divided by the mean volumetric moisture content drop (MC) between the initial and final state in the wall and by the length of the dried wall section was estimated to be 11.08 kWh/MC%/m.

scholarly journals Desain dan Uji Kinerja Alat pengering Hybrid Dengan Efek Cerobong Tipe Tumpukan untuk Pengeringan Biji Kopi Arabika

2020 ◽  
Vol 7 (3) ◽  
pp. 163-170
Author(s):  
Irwansyah Irwansyah ◽  
Leopold Oscar Nelwan ◽  
Dyah Wulandani
Keyword(s):  
Water Vapor ◽  
Energy Consumption ◽  
Moisture Content ◽  
Specific Energy ◽  
Specific Energy Consumption ◽  
The Sun ◽  
Drying Method ◽  
Arabica Coffee ◽  
Coffee Beans ◽  
Chimney Effect

Artificial drying method for arabica coffee beans requires a large consumption of electrical energy. Electricity is needed to rotate the blower which functions to circulate hot air to the dryer so that it can evaporate some of the water contained in the coffee beans. Most of the arabica coffee producing areas in Aceh province have not been reached by the electricity network so the use of artificial dryers cannot be used. To overcome this obstacle, the air flow circulation system with chimney effect can be used to drain dry air. The aim of this research is to design a chimney effect hybrid dryer which is heat source from solar and biomass energy, to test the performance of the dryer and compare it with the sun drying method. Parameters observed were temperature, moisture content and specific energy consumption of solar radiation and biomass. Dryer capacity is 5 kg of arabica coffee beans. The results showed that the chimney effect hybrid dryer can be used to dry 5 kg of coffee beans. The drying show that drying temperature on the dryer chamber ranged between 37.3-60.9°C. To reduce the moisture content of coffee beans from 52.5 to 12.8% bb, it was take 16-17 hours, while the sun drying method takes up to 46 hours (6 days). The total specific energy consumption of hybrid dryer was 57.1 MJ/kg of water vapor, while the specific energy consumption of the drying method was 59.4 MJ/kg of water vapor.

A General Empirical Energy Consumption Model for Computer Numerical Control Milling Machine

2019 ◽  
Vol 141 (2) ◽  
Author(s):  
Yadan Zeng ◽  
Tonghui Li ◽  
Yelin Deng ◽  
Chris Yuan
Keyword(s):  
Experimental Data ◽  
Energy Consumption ◽  
Removal Rate ◽  
Specific Energy Consumption ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Milling Machine ◽  
Cnc Machines ◽  
Proposed Model ◽  
Absolute Residual

Energy consumption of computer numerical control (CNC) machines is significant and various empirical models have been developed to model the specific energy consumption (SEC) of CNC machines. However, most of the models are developed for specific machines and hence have limited applications in manufacturing industry. In this research, a general empirical SEC model for milling machine at certain power level is developed based on actual cutting experimental data. In this model, stand-by power and spindle power are used in the SEC model for the first time. The material removal rate (MRR) is used to represent the cutting parameter. The proposed model is fitted by the regression analysis and validated using experimental data. Results show that the proposed model can be applied on various milling machines with an average absolute residual ratio of 6%. The model is also validated through a series of cutting experiments on a machine center, with an accuracy of 91.5%, for the SEC calculation.

scholarly journals Analysis on Photovoltaic Energy-Assisted Drying of Green Peas

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Onur Taşkın ◽  
Nazmi İzli ◽  
Ali Vardar
Keyword(s):  
Energy Consumption ◽  
Moisture Content ◽  
Air Temperature ◽  
Specific Energy Consumption ◽  
Initial Moisture Content ◽  
Air Velocity ◽  
Rehydration Ratio ◽  
Total Energy Consumption ◽  
Photovoltaic Energy ◽  
Green Peas

A photovoltaic energy-assisted industrial dryer has been analyzed. The dryer has been tested in various weather and working conditions with 3 kg of green peas from 75.6% initial moisture content to 20% final moisture content (w.b.). The effect of various drying air temperatures at three levels (40, 50, and 60°C) and two distinct air velocities (3 m/s and 4 m/s) was examined. Drying performance was assessed with regard to criteria including drying kinetics, specific and total energy consumption, and color and rehydration ratio. The results have proved that total drying duration reduces as air velocity rate and drying air temperature raise. Relying upon the drying durations, the generation performances of photovoltaic panels were between 5.261 and 3.953 W. On the other part, energy consumptions of dryer were between 37.417 and 28.111 W. The best specific energy consumption was detected in 50°C at 3 m/s for 600 minutes with 7.616 kWh/kg. All drying conditions caused darkening as color parameters. Rehydration assays have showed that rehydrated green peas attained higher capacity with raised air temperature and air velocity.

Drying Model, Shrinkage and Energy Consumption Evaluation of Air Dried Sheet Rubber Drying System for Small Enterprise

2012 ◽  
Vol 622-623 ◽  
pp. 1135-1139 ◽  
Author(s):  
A. Ekphon ◽  
T. Ninchuewong ◽  
S. Tirawanichakul ◽  
Y. Tirawanichakul
Keyword(s):  
Experimental Data ◽  
Energy Consumption ◽  
Moisture Content ◽  
Specific Energy ◽  
Experimental Results ◽  
Drying Rate ◽  
Rubber Sheet ◽  
Drying Temperature ◽  
Hot Air ◽  
Air Convection

The main objective of this research was to study drying kinetics of air dried sheet (ADS) rubber using hot air and simulated drying kinetics by empirical model compared to experimental results. The 10-15 fresh rubber sheet with initial moisture content ranging of 23-40% dry-basis was dried by temperature of 40-70°C and air flow rate of 0.7 m/s. The fresh rubber sheet samples were dried until the desired final moisture content reached to 0.15% dry-basis. The experimental results showed that the drying rate of ADS rubber dried with hot air convection was faster than conventional natural air convection and drying rate was related to drying temperature. The experimental data was statistical non-linear regression analyzed by using 10 conventional empirical models. The coefficient of determination (R2) and root mean square error (RMSE) values were used as the criteria for selecting the best equation to describe the experimental data The results showed that the calculated results of Verma et al.’ model had a good relation to the experimental results. For specific energy evaluation, the results showed that at high drying temperature specific energy consumption of ADS rubber was relatively low compared to drying with low temperature. Finally, the determination of physical quality showed that.

Optimization of process variables for briquetting of biochar from corn stover

BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 6811-6825
Author(s):  
Wenqiao Jiao ◽  
Lope Galindo Tabil ◽  
Mingjin Xin ◽  
Yuqiu Song ◽  
Bowen Chi ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Moisture Content ◽  
Corn Stover ◽  
Residence Time ◽  
Specific Energy ◽  
Dimensional Stability ◽  
Specific Energy Consumption ◽  
Mean Values ◽  
Set Up ◽  
Experimental Values

Instead of compressing biomass into briquettes, this study considers the compression of biochar. Densification is necessary for biochar to increase bulk density for convenience of handling, transportation, and storage. Response surface methodology was employed, and briquetting of biochar from corn stover was carried out in this study to investigate the effects of moisture content (at levels of 16, 17.6, 20, 22.4, and 24%), pressure (at levels of 21.5, 25, 30, 35, and 38.5 MPa), and residence time (at levels of 4, 6.4, 10, 13.6, and 16 s), on crushing resistance, dimensional stability of briquettes, and specific energy consumption of briquetting. The results showed that the effects of the variables on each evaluation index were significant (P < 0.01), the influence order was obtained, and the regression models are set up. The optimum condition for the briquetting process was moisture content of 18.5%, pressure of 38.5 MPa, and residence time of 4 s, giving mean values of the briquette crushing resistance of 49.9 N, dimensional stability of 93.8%, and specific energy consumption of briquetting of 4.41 MJ/t, respectively. The errors between the predicted values and the experimental values are all less than 5%.

Sign in / Sign up

Export Citation Format

Share Document