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Search Results: 1 - 10 of 11535 matches for " Milling Process "
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Energy and Cost Analysis of Cement Production Using the Wet and Dry Processes in Nigeria  [PDF]
Olayinka S. Ohunakin, Oluwafemi R. Leramo, Olatunde A. Abidakun, Moradeyo K. Odunfa, Oluwafemi B. Bafuwa
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.59059

The study evaluates the energy consumption of both wet and dry processes cement manufacturing plant in Nigeria. Enrgy consumption data collected for the period 2003 to 2011 were used to estimate the energy consumption of the crushing, milling, agitation, burning, grinding and bagging operations. The total energy evaluation was based on the three primary energy sources which include electrical, combustion and human. The total estimated energy intensities were 6545 MJ/ton and 4197 MJ/ton for wet and dry processes respectively. The percentage consumption of energy in each operation is 93.68 and 90.34% (burning), 2.11 and 4.33% (milling), 0.43 and 0.67% (crushing), 1.39 and 0% (agitation), 2.12 and 3.90% (grinding), and 0.27 and 0.75% (bagging) of the total energy inputs for the wet and dry processes respectively. Furthermore, the average total energy cost of production showed that wet process is approximately 40% more cost intensive in cement production than the dry process while at the same time it is cost effective to run production on energy through gas powered plant than the national grid.

Micromill designed for the measurement of the wheat kernel grinding resistance, in the grinding process
Ioan DANCIU,Cristina DANCIU,Iuliana BANU
Annals of the University Dunarea de Jos of Galati. Fascicle VI : Food Technology , 2010,
Abstract: In the era of global slowdown and recession, saving energy becomes a ”must have” characteristic of every industrial consumer. In the industrial milling process of the wheat, 60-75 % of the total specific energy consumption is used in the grinding process. The measurement of the grinding resistance of the wheat kernel can estimate the energy consumption in the grinding process and can lead to a diminution of the total energy consumption, in the milling process.
Study of Relating Drying Time and Drying Rate Constant (K) to Dryer Parameters and Milling Loss (Breakage) of Rice
M. Soleymani,M. Shahedi
Journal of Science and Technology of Agriculture and Natural Resources , 2006,
Abstract: The Drying process is one of the most important factors which are effective on the milling quality of rice and its economic value. In order to investigate the effect of dryer parameters on milling quality of rice and their relationships, one of the usual rice varieties (Binam) of Gilan province with an average milling quality and the initial moisture content of 20.5% was selected. Drying process was performed on the basis of a complete randomized design with 20 treatments and 3 factors including temprature (at five levels of 30, 40, 50, 60 and 70 °C) , air velocity (at two levels of 0.5 and 2 m/s) and final moisture content of paddy (at two levels of 10.5% and 14% on wet basis equal to 11.7% and 16.3% on dry basis respectively). Results of the experiments indicated that increase of temprature or air velocity reduces drying time but increases drying rate constant (K). It also revealed that decrease of final moisture content of paddy increases drying time significantly, but doesn’t have any significant effect on drying rate constant (K). Correlation test indicated that milling loss (breakage) has a negative relation to drying time and a positive relation to drying rate constant(K), however, bending strength has a positive relation to drying time and a negative relation to constant of K. Regression of qualitative properties of paddy including: milling loss (breakage) and the bending strength over drying time and constant of K revealed that drying time is a better criterion for predicting the mentioned qualitative properties.
Fabrication and Analysis of Vanadium-Based Metal Powders for Selective Laser Melting  [PDF]
Jialin Yang, Jingfeng Li
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2018, DOI: 10.4236/jmmce.2018.61005
Abstract: Vanadium Alloy is a type of advanced nuclear material with many ideal properties compared as traditional nuclear materials, which has very wide and important application in first-wall and blanket structural material for fusion power plant applications. So it has attracted increasing attentions, especially on new manufacturing methods, such as selective laser melting and so on. In this paper, the comparative study of the powders obtained by mechanical mixing method, dry grinding method and wet grinding method respectively was performed to evaluate the effect of ball milling process on the microstructure and degree of alloying of the vanadium-based powder mixtures with the nominal composition of V5Cr5Ti vanadium alloy. The powders prepared by dry grinding method exhibits better spherical-like morphology and degree of alloying than those prepared by mechanical mixing method and wet grinding method, which indicates that dry grinding method can be used to prepare the superfine vanadium alloy powders for selective laser melting. This work provides a new method as well as important insights into the preparation of superfine vanadium alloy powders for selective laser melting additive manufacturing technology.
Evaluation of Net Energy Obtainable from Combustion of Stabilised Olive Mill By-Products
Antonio Messineo,Roberto Volpe,Francesco Asdrubali
Energies , 2012, DOI: 10.3390/en5051384
Abstract: This work is aimed at calculating the energy content of the residues from olive oil production. Olive pulp, olive husk and sludge (a mixture of olive pulp and husk) have been analyzed separately. Olive Mill Effluents (OME) are normally a problem for olive mill farms, yet they may be used as feedstock for biomass-fuelled power plants. Nonetheless, OMEs are characterized by a relatively high humidity content and are produced only during the olive season. Thus, OME need a stabilization process to be employed as a solid biofuel throughout the year. The analyses conducted attempt an evaluation of the energy consumption of a three-stage stabilization process: drying, milling and pelletising. The net electrical energy available from OME is then calculated as a difference between gross energy available and energy consumed for stabilization. The gross available electrical energy was calculated based on direct energy conversion of the stabilized feedstock on a small scale direct combustion and Organic Rankine Cycle (ORC) turbine. Results show that OME are suitable for energy production. Approximately 4500 kJ/kg of net electrical energy may be obtained out of olive sludge or olive pulp, while olive husk shows a potential gross energy of 3400 kJ/kg.
Evaluación Experimental del Desempe?o del Proceso de Fresado Frontal del Acero ABNT 1045 para Herramientas con Diferentes Números de Aristas
Braga,Durval U; Neves,Frederico O; Silva,Alex S. C; Parreiras,Luis G. S;
Información tecnológica , 2012, DOI: 10.4067/S0718-07642012000400011
Abstract: experimental factorial design, with three replica and 95% of confidence, has been used for evaluating the asymmetrical face milling of abnt 1045 steel. two levels of cutting speed, two levels of position angle and three levels of cutting edges were employed. feed rate and cutting depth were maintained at a constant value so the same volume of material in each test is removed. the results showed that the power consumed increased as the position angle was reduced, due to the increase of the specific cutting resistance by distributed shear force over the transversal section of the cutting tool. it is concluded that the variables studied have influence on the results and that they are interrelated in the process of asymmetrical frontal milling.
Um modelo de referência para o processo de desenvolvimento de produtos de empresas do setor moageiro de trigo
Campos, Samanta Ullmann de;Ribeiro, José Luis Duarte;
Produ??o , 2011, DOI: 10.1590/S0103-65132011005000036
Abstract: this paper presents a reference model for the milling wheat product development process (pdp). the model targets to facilitate the project of new products, evaluating necessities, requirements and limitations. it contributes to integrate and create communication among the functional areas, reducing development times. the operational structure of the model is composed of three macro-phases and eight phases. at the end of each phase, the main information is compiled in document type-form, which must pass by a top management evaluation gate. the application of the reference model was tested from a plan to systematize the pdp of a company. the intervention to adjust the reference model to the company analyzes the actual pdp status, proposition of improvements, and the conduction of such application. among the results, the facility to apply the proposed solutions to improve the company's pdp using the reference model stand out, showing the practical adequacy of the proposed model.
Reduction of wheat middlings using a conventional and eight-roller milling systems
Fi?te? Aleksandar Z.,Vukmirovi? ?uro M.
Acta Periodica Technologica , 2009, DOI: 10.2298/apt0940025f
Abstract: Possibilities for the rationalization of the wheat flour milling process using the eightroller mill on the 1M and 2M passages of the reduction system have been investigated. At the same roll gaps and under the same sieving conditions, the lower flour yield has been obtained using an eight-roller mill compared to the conventional milling system (5-8 %) followed by a higher energy requirements for grinding. By decreasing the roll gap setting and increasing the upper size limit of flour in the process with the eight-roller mill it is possible to increase flour yield and therefore decrease milling energy consumption per unit mass of flour produced without deterioration of flour quality as determined by ash content. With appropriate adjustments of the processing parameters in the eight-roller milling system it is possible to achieve similar milling results to those in the conventional system, while the overall investment, energy and maintenance costs are significantly lower.
Optimization of Yam Milling-A Response Surface Approach
Badmus Abdurrahman Adeleye,Akinoso Rahman,Abdulganiy Olayinka Raji
Advance Journal of Food Science and Technology , 2012,
Abstract: This study was performed to optimise the process of milling dry yam using central composite rotatable design of response surface methodology. The independent variables were; feed moisture content (8, 12, 16, 20, 24% w.b, respectively), worm shaft speed (288, 346, 432, 576, 864 r.p.m, respectively) and feed opening (1300, 2600, 3900, 5200, 6500 mm2, respectively). Data were analysed by regression and ANOVA. Maximum, minimum and mean percentages of flour obtained were 56.3, 42.2 and 49.1±4.3%, respectively. Maximum, minimum and mean percentages of grit were 35.9, 21.1 and 26.7±3.4%, respectively. Maximum, minimum and mean percentages of meal obtained from yam milling were 33.7, 12.8 and 24.3±4.6%, respectively. Coefficients of determination R2 for flour, meal and grit models were 0.73, 0.72 and 0.73, respectively. The best desirability (0.78) was achieved at moisture content of 12% w.b., worm shaft speed of 576 rpm and feed opening of 5200 mm2. These process parameters gave 19.13% grit, 23.59% meal and 54.20% flour.
A Binary ART Neural Network Methodolgy for Computer-Aided Process Palnning of Milling Parameters
Amjed Al-Ghanim
Information Technology Journal , 2002,
Abstract: Artificial neural network have been successfully employed for providing efficient solutions for decision making problems and gained increased significance for their use in computer integrated manufacturing environment as effective tools for improving productivity and decision quality. The function of process planning in machining operations is a prominent one for neural network applications since it has direct impact on overall manufacturing productivity. This paper presents analysis and results of applying self-organizing neural networks to the selection of machining parameters of milling processes. The importance of this approach stems from the ability of neural nets to handle vague or ill-structured problems and the inherent capability of generalizing solutions to unseen problems. Furthermore, self-organizing neural networks do not require full knowledge of `output` data needed during the training phase; only a small portion of the data is needed for model calibiration. Simulations using ART1 neural model were applied to the selection of the tool material type and tool entry strategy, and the results demonstrated a high potential for the development of neural network modules for practical applications.
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