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1.
Reducing environmental impacts and obtaining economic benefits based on utilisation of waste materials are drivers for the implementation of cleaner production policies and technologies in food processing industries. Starch is a very versatile material with a wide range of applications in the food, pharmaceutical, textile, paper, cosmetic and construction industries. In Ethiopia, starch is widely used in the textile industry. To meet the starch demand, the country imports approximately 45% of the starch used in the country. Consequently, it is imperative to find additional sources of starch that could substitute for the amount of starch that is currently being imported. Mango seeds, a waste material that is disposed of after consumption of mangos, were studied for potential use as an alternative resource for starch production. The results showed that starch extraction from mango seeds was facile and a good quality product was obtained. The present study is concerned with a techno-economic analysis for industrial production of starch from mango seeds. The study shows that extraction of starch from waste mango seeds is feasible: the project is financially viable with an accounting rate of return of 83% and a break-even analysis of 78% with a payback period of 2 years.  相似文献   
2.
Hydrate dissociation conditions were studied for the CO2/refrigerant + sucrose/fructose/glucose solution systems as a continuation of previous work into alternate separation technologies for the sugar manufacturing industries. Experimental data were measured following the isochoric pressure method for the CO2 + sucrose/fructose solution systems. The refrigerants studied for the modeling purpose were R410a, R507, R134a, and R22 using literature data. The pressure and temperature ranges for the experimental data measured here were (1.80–4.10) MPa and (276.6–282.6) K, respectively, with solutions measured in the composition range between 0 to 0.40 mass fraction sucrose and fructose. Several models following the Van der Waals–Platteeuw solid solution theory were developed to predict the hydrate dissociation conditions of CO2/fluorinated refrigerant in the presence of sucrose/fructose/glucose solutions. The modeling results provide a satisfactory representation of the experimental data, with AARD(P) % model errors in the overall range between 0.03% and 4.40%.  相似文献   
3.
A novel method has been developed for determining soluble and insoluble forms of oxalate in pulp and paper samples by ion chromatography. Methanesulphonic acid is used to dissolve insoluble oxalate, and total oxalate is then determined by ion chromatography with suppressed conductivity detection. Soluble oxalate is determined directly by ion chromatography, without prior chemical treatment. Insoluble oxalate is obtained by difference. The method was applied to samples of pulp, process liquors, filtrates, and scale deposits from kraft mills. In kraft mills, considerably higher levels of oxalate were found in the Eop samples compared to those in the brownstock and D0 samples. In both brownstock and Eop samples, oxalate was mainly present in soluble form, whereas the D0-stage contained relatively higher levels of insoluble oxalate.  相似文献   
4.
Asphaltene precipitation is accounted as one of the most serious problems during oil production so that it can decrease the production of crude oil and cause the blockage of reservoir rock pores, etc. An accurate prediction of phase behaviour of asphaltene is therefore important in oil production industry. Accurate prediction of phase behaviour of asphaltene precipitation i.e. stability state of asphaltene precipitation in oilfields is greatly desirable. To this end, the applicability domains of the most important variables for the determination of the stability state of asphaltene precipitation viz. aromatic + resin and asphaltene + saturates have been specified by using decision tree (DT) algorithm. Next, adaptive neuro-fuzzy inference system (ANFIS) approach was implemented in order to determine the stability state of asphaltene precipitation using the efficient variables of aromatic + resin and asphaltene + saturates. The results obtained in the current study demonstrate that the models proposed in this study provide desirable results in estmating the stability state of asphaltene precipitation in oilfields.  相似文献   
5.
Worldwide, the poultry meat processing industry generates large quantities of feather by-products that amount to 40 × 109 kg annually. The feathers are considered wastes although small amounts are often processed into valuable products such as feather meal and fertilisers. The remaining waste is disposed of by incineration or by burial in controlled landfills. Improper disposal of these biological wastes contributes to environmental damage and transmission of diseases. Economic pressures, environmental pressures, increasing interest in using renewable and sustainable raw materials, and the need to decrease reliance on non-renewable petroleum resources behove the industry to find better ways of dealing with waste feathers. A closer look at the structure and composition of feathers shows that the whole part of a chicken feather (rachis and barb) can be used as a source of a pure structural protein called keratin which can be exploited for conversion into a number of high-value bioproducts. Additionally, several technologies can be used to convert other biological components of feathers into high value-added products. Thus, conversion of the waste into valuable products can make feathers an attractive raw material for the production of bioproducts. In this review, possible applications of chicken feathers in a variety of technologies and products are discussed. Thus, using waste feathers as a valuable resource can help the poultry industry to dispose of the waste feathers in an environmentally sustainable manner that also generates extra income for the industry. Their valorisation can result in their sustainable conversion into high-value materials and products on the proviso of existence or development of cost-effective technologies for converting this waste into the useful products.  相似文献   
6.
Sustainable disposal of the waste is problematic due to increasing shortages of landfill space. Avocado is a common fruit that is widely consumed in many countries. This consumption results in large quantities of avocado waste being generated by the avocado processing industries. However, avocado seeds contain large amounts of starch that could be beneficiated. Starch is widely used in various industrial applications and is routinely sourced from food crops, thus competing with traditional sources of food. Alternative non-food sources of starch are needed. This work focused on ascertaining the cleaner way of extracting starch from avocado seeds for use in industrial applications. The starch was extracted from avocado seeds via a wet extraction method and tested for application in the textile industry. Optimal conditions for the extraction of starch were determined using statistically designed experiments employing a Box–Behnken design and Statistica 13 software for the experimental design, statistical analysis and optimisation of the extraction process. The analysis of variance results revealed that a quadratic model is significant for the factors and responses studied. A quadratic mathematical model was developed, and the optimum combination of a response factor was obtained by the simultaneous optimisation of the responses. The starch yield was 64% (on dry weight basis). Analysis of the extracted starch showed that it contained well over 90% starch content. Application of the starch in textile applications showed that it performed as well as a commercial starch sample. The collection and processing of waste avocado seeds can be a new source of employment and provide income generation opportunities.  相似文献   
7.
Gasoline is one of the most recognized products of the petroleum industry due to its use as a liquid fuel worldwide. As a result, it is of great importance to accurately determine the properties of gasoline, so as to evaluate its quality. In this article, an effective mathematical and predictive strategy, namely least squares support vector machines (LSSVM) is applied to predict some gasoline properties, viz. specific gravity (SG), motor octane number (MON), research octane number (RON), and Reid vapor pressure (RVP). A comprehensive error analysis is also undertaken to compare the values predicted from the model with actual data which enables one to evaluate the performance of the model developed in this study. The results indicate that the model developed has reasonable accuracy and prediction capability. The correlation indices, R2, are 0.990, 0.933, 0.955, and 0.920 for SG, MON, RON, and RVP, respectively.  相似文献   
8.
In this work, a thermodynamic consistency test method was used to investigate the reliability of isobaric experimental data on the sulfur content of hydrogen sulfide. The test was applied to literature data. A thermodynamic model based on the Peng-Robinson equation of state with conventional mixing rule was used for prediction of sulfur (S8) deposition from hydrogen sulfide vapor phase. The data considered was analyzed to determine whether it was thermodynamically consistent (TC), not fully consistent (NFC), or thermodynamically inconsistent (TI). The results show that the experimental data for the sulfur content of hydrogen sulfide are thermodynamically consistent.  相似文献   
9.
The effect of components of alkaline zincate solution and surface compounds, which form on metal zinc in the alkaline solutions, on the nature of nonpolarized electrode potential (E) is studied. It is proposed to determine the nature of E by taking into account more rigorously the activities of all solution components. It is found that in the zincate solutions, the potential of nonpolarized metal zinc is the potential of Zn/Zn(OH)2, OH electrode of the second kind. Original Russian Text ? V. Rezaite, L. Deresh, 2006, published in Zashchita Metallov, 2006, Vol. 42, No. 4, pp. 368–372.  相似文献   
10.
In this communication, a general model for representation/presentation of the liquid thermal conductivity of chemical compounds (mostly organic) at 1 atm pressure for temperatures below normal boiling point and at saturation pressure for temperatures above the normal boiling point is developed using the Gene Expression Programming algorithm. Approximately 19,000 liquid thermal conductivity data at different temperatures related to 1636 chemical compounds collected from the DIPPR 801 database are used to obtain the model as well as to assess its predictive capability. The parameters of the model comprise temperature, acentric factor, critical pressure, normal boiling temperature, and molecular weight. Nearly 80% of the data set (15,221 data) is randomly assigned to develop the model equation, 10% of the data set (1902 data) is used to validate the model, and the remaining data (1902 data) were implemented to evaluate its predictive power. The average absolute relative deviation of the model results from the DIPPR 801 data is less than 9%. In terms of simplicity and wide range of applicability, this empirical model shows acceptable accuracy. © 2012 American Institute of Chemical Engineers AIChE J, 59: 1702–1708, 2013  相似文献   
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