scholarly journals Electrohydrodynamic Drying in Agribusiness: Literature Review

2022 ◽  
Vol 5 ◽  
Author(s):  
Kevin Daniel Ciprian Foronda ◽  
Delcy Camila Gafaro Garcés ◽  
Laura Restrepo Rendón ◽  
Yeyner Yamphier Mendoza Alvites ◽  
Joana Paola Ricardo Sagra ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Sea Cucumber ◽  
Processing Time ◽  
Raw Materials ◽  
Vantage Point ◽  
Grape Pomace ◽  
Unitary Operation ◽  
Aquatic Products ◽  
Author Keywords ◽  
And Cluster Analysis

In agribusiness, drying is a unitary operation that optimizes the production and preservation of products and raw materials. Drying is performed through different traditional methods, one of the most recently studied is the electrohydrodynamic drying EHD which uses an electric field that allows decreasing the processing time thus increasing the drying speed of raw materials and consuming less energy. In this article, a review was carried out through Scopus using a search equation with the keywords “Electrohydrodynamic drying,” “food” and “AGRI” which resulted in a total of 145 articles; which were analyzed through in-depth reading, analyzing aspects such as year, author, keywords, countries, quartile, journal, relationship with agroindustry, mathematical models used and applications in agro-industrial products, this analysis was complemented with the application of Vantage Point software through co-occurrence matrices and cluster analysis. Recent applications were found in Carrot, Chicken, Sea Cucumber, Goji Berry, Peppermint Leaf, Quince, Potato, Blueberry, Aquatic Products, Banana Slices, Grape Pomace, Blueberry, Apple, Mushroom, Wheat, and Mushroom Slices, mathematical models with application in EHD drying were also found, such as Henderson and Pabis, Page, Logarithmic, Quadratic, Newton/Lewis, Diffusion and exponential.

scholarly journals EXPLOITATION OF AGRI-FOOD SOLID WASTES FOR RECOVERY OF HIGH ADDED-VALUE COMPOUNDS: THE CASE OF GRAPE POMACE AND ONION PEELS

1970 ◽  
Vol 62 ◽  
Author(s):  
Papagiotis Kefalas ◽  
D. P. Makris
Keyword(s):  
Raw Materials ◽  
Reducing Power ◽  
Grape Pomace ◽  
Solid Wastes ◽  
Added Value ◽  
Waste Materials ◽  
Processing Plant ◽  
Food Ingredients ◽  
Pigment Extraction ◽  
Red Grape

Large quantities of both liquid and solid wastes are produced annually by the food processing industry. These waste materials contain principally biodegradable organic matter and their disposal creates serious environmental problems. The waste loads at the processing plant can be significantly reduced through the use of new or modified processing methods or through in-plant treatment and reuse and a variety of processes are being developed towards this direction, aiming at converting the waste materials into bio-fuels, food ingredients and other added-value bio-products. The scope of the present study was an examination on the possibilities of using non-toxic, cheap and readily available means of recovering phenolics from red pomace and onion peels. On such a basis, the solvent systems tested were composed of ethanol, a bio-solvent that can be obtained after fermentation of the sugar-containing raw materials and distillation. In the case of red grape pomace, simple media composed of 60% ethanol were shown to be ideal for recovery of extracts with increased polyphenol concentration and antiradical activity. Higher ethanol content (90%), however, was more effective for pigment extraction. For onion peels, extracts with high flavonol recovery and a reducing power were obtained with a similar medium (60% ethanol/ 0.1% HCl), while optimisation of the extraction conditions with regard to temperature and time, afforded higher yield and more active extracts.

scholarly journals Identification of reverse logistics decision types from mathematical models

2018 ◽  
Vol 11 (2) ◽  
pp. 239 ◽  
Author(s):  
Pascual Cortés Pellicer ◽  
Faustino Alarcón Valero
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Reverse Logistics ◽  
Business Processes ◽  
Raw Materials ◽  
Decision Makers ◽  
Social Awareness ◽  
Decision Variables ◽  
Object Of Study ◽  
Aid Decision

Purpose: The increase in social awareness, politics and environmental regulation, the scarcity of raw materials and the desired “green” image, are some of the reasons that lead companies to decide for implement processes of Reverse Logistics (RL). At the time when incorporate new RL processes as key business processes, new and important decisions need to be made. Identification and knowledge of these decisions, including the information available and the implications for the company or supply chain, will be fundamental for decision-makers to achieve the best results. In the present work, the main types of RL decisions are identified.Design/methodology/approach: This paper is based on the analysis of mathematical models designed as tools to aid decision making in the field of RL. Once the types of interest work to be analyzed are defined, those studies that really deal about the object of study are searched and analyzed. The decision variables that are taken at work are identified and grouped according to the type of decision and, finally, are showed the main types of decisions used in mathematical models developed in the field of RL.    Findings: The principal conclusion of the research is that the most commonly addressed decisions with mathematical models in the field of RL are those related to the network’s configuration, followed by tactical/operative decisions such as the selections of product’s treatments to realize and the policy of returns or prices, among other decisions.Originality/value: The identification of the main decisions types of the reverse logistics will allow the managers of these processes to know and understand them better, while offer an integrated vision of them, favoring the achievement of better results. 

PARAGENESES OF ORE ELEMENTS IN CARBONATE ROCKS JUNCTION ZONE DONBASS AZOV BLOCK UKRAINIAN SHIELD

2020 ◽  
pp. 45-52
Author(s):  
Ksenia Repina ◽  
Keyword(s):  
Carbonate Rocks ◽  
Raw Materials ◽  
Ukrainian Shield ◽  
Statistical Characteristics ◽  
Practical Significance ◽  
Junction Zone ◽  
Geochemical Composition ◽  
Folded Structure ◽  
And Cluster Analysis ◽  
Tectonic Dislocations

Purpose. Study geochemical composition and parageneses ore elements in carbonate rocks articulation zones Pryazovskyi crystalline array Donetsk folded structure. Methodology. Complex statistical methods used SPSS / v19.0 for Windows package – namely, correlation and cluster analysis in determining the parageneses of ore elements in carbonate rocks. Results. The article studies carbonate rocks in which ore occurrences and areas of secondary mineralization distribution were previously established. Statistical data processing of semi-quantitative spectral analysis of samples was carried out. The statistical characteristics of the distribution of ore elements in primary carbonate (limestone, dolomite) and karst zones rocks are determined. An increase in the coefficients of variation and concentration of ore elements in karst formations has been established. It is concluded that an increase in the permeability of carbonate rocks in leaching zones is accompanied by the activation of hydrothermal-metasomatic reactions and contributes to the localization of ore occurrences of secondary mineralization (fluorite, quartz, sulfides). Leaching zones, next to zones of tectonic disturbances, served as the leading channels for hydrothermal solutions, under the influence of which substitution reactions of the main cations of carbonate rocks by ore element cations took place. Repeated activation of hydrothermal processes led to the formation of mudstones. Tectonic dislocations were accompanied by the formation of low-temperature associations of hydrothermal minerals. There are the higher-temperature associations of hydrothermal minerals in carbonate rocks on the areas of andesite-trachyandesite complexes igneous rocks distribution. Scientific novelty. It was established for the first time that the ore occurrences of the Donbass Junction Zone with the Priazovsky block of the Ukrainian Shield can be attributed to the hydrothermal mudstone formation, and their localization is determined by the presence of decompression zones in carbonate rocks. Practical significance. The regularities established can be used to predict leaching zones in carbonate rocks, where there is a decrease in the quality of carbonate raw materials. Key words: Associations of ore elements, concentration coefficients, hydrothermal mineralization, leaching zones, tectonic dislocations, mudstone formation.

Mathematical Modeling of Supply Chain Management Systems

2010 ◽  
pp. 344-357
Author(s):  
N. Anbazhagan
Keyword(s):  
Mathematical Modeling ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Mathematical Models ◽  
Stochastic Models ◽  
Management System ◽  
Raw Materials ◽  
Chain Management ◽  
Supply Chain Management System

Supply Chain Management (SCM) is the practice of coordinating the flow of goods, services, information and finances as they move from raw materials to parts supplier to manufacturer to wholesaler to retailer to consumer. Different supply chains have been designed for a variety of firms and this chapter discusses some issues in this regard. This chapter attempts to find why we require different supply chain for different companies. In this chapter we discuss the role of stochastic models in supply chain management system, and also discuss other mathematical models for SCM.

Prediction of Yarn Quality Based on BP Neural Network

2011 ◽  
Vol 331 ◽  
pp. 449-453
Author(s):  
Jing Yuan ◽  
Ying Lin Li ◽  
Su Ying Chen
Keyword(s):  
Neural Network ◽  
Mathematical Models ◽  
Network Architecture ◽  
Raw Materials ◽  
Nonlinear Approximation ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Yarn Quality ◽  
Spinning Process ◽  
Hidden Layer

As the quality of yarn and the fiber indicators are nonlinear relationship, the traditional mathematical models or empirical formula has been unable to accurately resolve the problem. In view of artificial neural networks do not need to build accurate mathematical models, applicable to solving the problem of yarn quality prediction. In this paper, good nonlinear approximation ability of BP (Back Propagation) neural network be used, the use of neural network toolbox of MATLAB functions for modeling, good results was obtained. Prediction model set a hidden layer, using three-tier network architecture, and take the input layer 4 nodes, hidden layer 8 nodes and output layer 2 nodes. According to forecast results, can ensure the yarn quality effectively, use of raw materials rationally, to achieve optimal distribution of cotton. Meanwhile, the spinning process design can also be provided validation, for the development of new products to provide a theoretical basis.

scholarly journals THE CHOICE OF FACTORS OF INFLUENCE ON VIBRO-CENTRIC SEPARATION OF LIQUID INHOMOGENEOUS RAW MATERSALS

2021 ◽  
pp. 50-56
Author(s):  
Yurii Polievoda ◽  
Alla Solomon
Keyword(s):  
Quality Indicators ◽  
Processing Time ◽  
Raw Materials ◽  
Angular Rate ◽  
Oscillation Amplitude ◽  
Response Surfaces ◽  
Influential Factors ◽  
Optimization Parameters ◽  
Criteria For Evaluation ◽  
Power And Energy

The development of modern equipment and technology leads to healthy competition, which in turn allows you to freely choose a machine or installation for the separation of liquid inhomogeneous systems. Each production when choosing equipment takes into account the relevant factors and its specifics. Mathematical and statistical planning of a multifactorial experiment was used to refine the glycerin quality indicators and determine their weight. The article constructs the response surfaces of the optimization criteria, which allow us to clearly illustrate the dependences of the values of the mass fraction of pure glycerin and energy consumption on individual optimization parameters. The research method includes the selection of optimal modes of operation of the vibrocentric machine for purification of liquid glycerol-containing raw materials according to technical and economic criteria for evaluation and determination of quality indicators of purified glycerol with variation of processing time, process temperature, etc. During the study, special attention was paid to the main operating parameters of this vibrating machine, namely: amplitude-frequency, power and energy. The efficiency of the process of vibration-based purification of crude glycerol was evaluated on such parameters as vibration control, angular rate of flow, rate of temperature. The recommendations of the second basic parameters of the lateral period were determined in accordance with the second set of the second order. Analyzing the results of studies of vibration-centrifugal separation of liquid inhomogeneous raw materials, it can be argued that the most influential factors in the separation of these products are the rotor speed, vibration shaft speed, oscillation amplitude, power, temperature and processing time.

scholarly journals Sweet Potato Gummy Sorption Isotherm: Product Development and Stability Analysis

2020 ◽  
pp. 40-55
Author(s):  
Carola Andrea Sosa ◽  
Liliana Edith Vergara ◽  
María Victoria Traffano-Schiffo ◽  
Sonia Cecilia Sgroppo
Keyword(s):  
Experimental Data ◽  
Stability Analysis ◽  
Product Development ◽  
Mathematical Models ◽  
Raw Materials ◽  
Sorption Isotherms ◽  
Sorption Behavior ◽  
The One ◽  
Future Work ◽  
Best Fit

The present study is about the development of a techno-functional confectionery (soft candy), based on native raw materials from the Chaqueña region. In order to analyze it shelf life, the sorption isotherms were determined at 4, 20 and 30 ° C. Several mathematical models were applied to adjust the sorption behavior, with Peleg's model being the one that best fit the experimental data. The results obtained in this study, open an opportunity for future work in which the food developed can be used as a carrier of functional compounds such as fibers, proteins, bioactive compounds and natural dyes, among others.

scholarly journals МОДЕЛЮВАННЯ ХІМІКО-ТЕХНОЛОГІЧНИХ ПРОЦЕСІВ У SCADA ЗА ДОПОМОГОЮ ТЕХНОЛОГІЇ OPEN PLATFORM COMMUNICATIONS

2020 ◽  
pp. 59-66
Author(s):  
Ігор Леонідович Левчук ◽  
Олег Петрович Мисов ◽  
Ксенія Олексіївна Фесенко ◽  
Антон Романович Шейкус
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Mathematical Models ◽  
Information Exchange ◽  
Raw Materials ◽  
Synthesis Process ◽  
Technological Processes ◽  
Open Platform ◽  
Model Control ◽  
Opc Technology

The subject of study in the article are methods for integrating mathematical models of chemical-technological processes implemented in universal modeling programs into modern SCADA systems for developing and improving methods for controlling these processes. The goal is to develop a control system for the synthesis of acetylene in a kinetic reactor, based on a computer model created in universal modeling programs and integrated into SCADA using open platform communications (OPC) technology. Tasks: to create a mathematical model of the process of synthesis of acetylene based on the selected universal modeling program; to develop a way to integrate the resulting model into modern SCADA using OPC technology; to develop in SCADA a control system for the process of synthesis of acetylene according to a mathematical model as part of a functional human-machine interface and control subsystem algorithms; get transient graphs and prove the efficiency of the control system. Conduct a process study using a mathematical model. The methods used are computer simulation of technological processes; OPC technology; SCADA based management. The following results are obtained. A control system for the acetylene synthesis process based on SCADA Trace-Mode and a mathematical model implemented in the ChemCAD package has been developed, while the model - control system information exchange is implemented based on OPC technology. Checked and proved the efficiency of the resulting control system. A mathematical study of the process was carried out, an experimental dependence of the yield of the final product, acetylene, on the temperature, and consumption of raw materials at the inlet of the reactor was established. Conclusions. The novelty of the results is as follows. A new method is proposed for integrating mathematical models implemented in the ChemCAD modeling package into modern SCADA, based on OPC technology. A study of the process of acetylene synthesis by a mathematical model was carried out, experimental dependences of the acetylene yield on temperature and ethylene consumption at the inlet of the synthesis reactor were obtained. An analysis of the obtained experimental dependences showed the need to use cascade control algorithms to increase the efficiency of controlling the process of acetylene synthesis in a kinetic reactor.

Effect of the Fixation Treatment on the Staining Results of Reactive Dyes for Dyeing Bamboo

2014 ◽  
Vol 1078 ◽  
pp. 57-60
Author(s):  
Chun Wang ◽  
Xian Jun Li ◽  
Yun Li ◽  
Xi Yi Cheng ◽  
Xia He
Keyword(s):  
Processing Time ◽  
Treatment Time ◽  
Raw Materials ◽  
Reactive Dyes ◽  
Dye Uptake ◽  
Fixation Rate ◽  
Treatment Conditions ◽  
Variation Range ◽  
Fixation Treatment

In this article, the crushed bamboo bundles were pre-treated with dilute alkali were used as raw materials and then treated with reactive dyes. The influence of the fixing process including Na2CO3 concentration and processing time was studied systematically and an optimized fixing process for dyeing bamboo bundles was obtained. The results showed that:1）These two treatment conditions all can improve the dye uptake and fixation rate; 2）With the increasing of Na2CO3 concentration, the dye uptake and fixation rate are rises gradually and all be increased 20% most, then get the stabilizing when it is 20g / L; The fixation treatment time has little effect on the staining results with the variation range under 7%; 3）The most satisfactory effect could be obtained: The Na2CO3 concentration and processing time is 20g/L and 30min, respectively.

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