scholarly journals Recycling of cellulose from vegetable fiber waste for sustainable industrial applications

2019 ◽  
Vol 70 (01) ◽  
pp. 37-41 ◽  
Author(s):  
ERDOGAN UMIT HALIS ◽  
DURAN HICRAN ◽  
SELLI FIGEN
Keyword(s):  
Textile Industry ◽  
Raw Materials ◽  
Industrial Applications ◽  
Raw Material ◽  
Regenerated Cellulose ◽  
Acid Extraction ◽  
Vegetable Fibers ◽  
Potential Source ◽  
Vegetable Fiber

Recently two significant topics that became important for textile industry namely ‘providing sustainability by reusing of textile wastes’ and ‘developing high-valued new textile raw materials. Cellulose, which is a fascinating polymer, has been used for years as a raw material to obtain various products such as papers, fibers and films. In this study, it is aimed to provide sustainability with recycling of cellulose from waste jute fibers, considering the amount of waste jute weft yarns released in the production process of machine carpets. For this purpose, pre-cleaning of waste fibers was carried out at first, and then extraction of cellulose was accomplished, and finally characterization of recycled cellulose was performed. Organic acid extraction method was effective for isolation of cellulose from waste fibers with 43.65% yield performance. Microscopic and experimental analyses confirmed that non-cellulosic part of waste fibers were removed successfully and recycled cellulose has similar structure with control cellulose. Our results suggest that, waste vegetable fibers can be used as a potential source for cellulose. Recycled cellulose can be used in the production of paper, composites, regenerated cellulose fibers and other industrial applications.

scholarly journals Characterization Physico-chemical and mechanical of 4 vegetable fibers used as artisanal raw materials in the Department of Nariño

DYNA ◽  
2021 ◽  
Vol 88 (216) ◽  
pp. 96-102
Author(s):  
Laura De la Cruz Velasco ◽  
Juliana Chamorro Mejía ◽  
Carlos Cordoba-Cely
Keyword(s):  
Textile Industry ◽  
Raw Materials ◽  
Raw Material ◽  
Schoenoplectus Californicus ◽  
High Moisture ◽  
Vegetable Fibers ◽  
Technological Characteristics ◽  
Physical Chemical ◽  
Physico Chemical ◽  
Quality Life

Nowadays there is very little information about the properties of the main vegetable fibers used in artisanal production in southern Colombia. The present comparative study analyzes the physical-chemical and mechanical properties of Fique (Furcraea macrophylla), Tetera (Stromanthe stromathoides or Stromanthe jacquinii), Totora (Schoenoplectus californicus) and Iraca or Toquilla Palm (Carludovica palmata), with the intention of identifying its strengths and weaknesses like an artisan raw material. The study found that fibers with higher elasticity such as Fique can be used for items such as clothing, while stronger fibers such as Tetera can be used to create items such as baskets that require more resistance to weight and rigidity. It was also found that Iraca and Totora could be better applied in the textile industry, and that the high moisture content in all fibers can affect their technological characteristics and the quality life cycle of artisan products.

scholarly journals A Methodology Based on FT-IR Data Combined with Random Forest Model to Generate Spectralprints for the Characterization of High-Quality Vinegars

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1411
Author(s):  
José Luis P. Calle ◽  
Marta Ferreiro-González ◽  
Ana Ruiz-Rodríguez ◽  
Gerardo F. Barbero ◽  
José Á. Álvarez ◽  
...  
Keyword(s):  
Random Forest ◽  
Raw Materials ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Raw Material ◽  
Support Vector ◽  
Protected Designation Of Origin ◽  
Ft Ir

Sherry wine vinegar is a Spanish gourmet product under Protected Designation of Origin (PDO). Before a vinegar can be labeled as Sherry vinegar, the product must meet certain requirements as established by its PDO, which, in this case, means that it has been produced following the traditional solera and criadera ageing system. The quality of the vinegar is determined by many factors such as the raw material, the acetification process or the aging system. For this reason, mainly producers, but also consumers, would benefit from the employment of effective analytical tools that allow precisely determining the origin and quality of vinegar. In the present study, a total of 48 Sherry vinegar samples manufactured from three different starting wines (Palomino Fino, Moscatel, and Pedro Ximénez wine) were analyzed by Fourier-transform infrared (FT-IR) spectroscopy. The spectroscopic data were combined with unsupervised exploratory techniques such as hierarchical cluster analysis (HCA) and principal component analysis (PCA), as well as other nonparametric supervised techniques, namely, support vector machine (SVM) and random forest (RF), for the characterization of the samples. The HCA and PCA results present a clear grouping trend of the vinegar samples according to their raw materials. SVM in combination with leave-one-out cross-validation (LOOCV) successfully classified 100% of the samples, according to the type of wine used for their production. The RF method allowed selecting the most important variables to develop the characteristic fingerprint (“spectralprint”) of the vinegar samples according to their starting wine. Furthermore, the RF model reached 100% accuracy for both LOOCV and out-of-bag (OOB) sets.

Computer Vision-Based Non-Magnetic Object Detection on Moving Conveyors in Steel Industry through Differential Techniques and Performance Evaluation

2014 ◽  
pp. 247-261
Author(s):  
K. C. Manjunatha ◽  
H. S. Mohana ◽  
P. A. Vijaya
Keyword(s):  
Object Detection ◽  
Steel Industry ◽  
Material Handling ◽  
Raw Materials ◽  
Industrial Applications ◽  
Raw Material ◽  
Smart Control ◽  
Image Pixels ◽  
And Performance ◽  
Video Input

Intelligent process control technology in various manufacturing industries is important. Vision-based non-magnetic object detection on moving conveyor in the steel industry will play a vital role for intelligent processes and raw material handling. This chapter presents an approach for a vision-based system that performs the detection of non-magnetic objects on raw material moving conveyor in a secondary steel-making industry. At single camera level, a vision-based differential algorithm is applied to recognize an object. Image pixels-based differential techniques, optical flow, and motion-based segmentations are used for traffic parameters extraction; the proposed approach extends those futures into industrial applications. The authors implement a smart control system, since they can save the energy and control unnecessary breakdowns in a robust manner. The technique developed for non-magnetic object detection has a single static background. Establishing background and background subtraction from continuous video input frames forms the basis. Detection of non-magnetic materials, which are moving with raw materials, and taking immediate action at the same stage as the material handling system will avoid the breakdowns or power wastage. The authors achieve accuracy up to 95% with the computational time of not more than 1.5 seconds for complete system execution.

Computer Vision-Based Non-Magnetic Object Detection on Moving Conveyors in Steel Industry Through Differential Techniques and Performance Evaluation

2018 ◽  
pp. 1820-1837
Author(s):  
K. C. Manjunatha ◽  
H. S. Mohana ◽  
P. A. Vijaya
Keyword(s):  
Object Detection ◽  
Steel Industry ◽  
Material Handling ◽  
Raw Materials ◽  
Industrial Applications ◽  
Raw Material ◽  
Smart Control ◽  
Image Pixels ◽  
And Performance ◽  
Video Input

Intelligent process control technology in various manufacturing industries is important. Vision-based non-magnetic object detection on moving conveyor in the steel industry will play a vital role for intelligent processes and raw material handling. This chapter presents an approach for a vision-based system that performs the detection of non-magnetic objects on raw material moving conveyor in a secondary steel-making industry. At single camera level, a vision-based differential algorithm is applied to recognize an object. Image pixels-based differential techniques, optical flow, and motion-based segmentations are used for traffic parameters extraction; the proposed approach extends those futures into industrial applications. The authors implement a smart control system, since they can save the energy and control unnecessary breakdowns in a robust manner. The technique developed for non-magnetic object detection has a single static background. Establishing background and background subtraction from continuous video input frames forms the basis. Detection of non-magnetic materials, which are moving with raw materials, and taking immediate action at the same stage as the material handling system will avoid the breakdowns or power wastage. The authors achieve accuracy up to 95% with the computational time of not more than 1.5 seconds for complete system execution.

Machine Vision Based Non-Magnetic Object Detection and Removal on Moving Conveyors in Steel Industry through Differential Techniques

2012 ◽  
Vol 2 (3) ◽  
pp. 59-70
Author(s):  
K. C. Manjunatha ◽  
H. S. Mohana ◽  
P. A. Vijaya
Keyword(s):  
Object Detection ◽  
Steel Industry ◽  
Material Handling ◽  
Raw Materials ◽  
Industrial Applications ◽  
Vital Role ◽  
Raw Material ◽  
Computational Time ◽  
Video Input ◽  
Intelligent Process

Intelligent process control technology in various manufacturing industries is important. Vision based non-magnetic object detection on moving conveyor in the steel industry will play a vital role for intelligent process and raw material handling. This paper presents an approach for a vision based system which performs the detection of non-magnetic objects on raw material moving conveyor in a secondary steel making industry. At single camera level, a vision based differential algorithm is applied to recognize an object. Image pixels based differential techniques; optical flow and motion based segmentations are used for traffic parameters extraction, the proposed approach extends those futures into industrial applications. The authors can implement smart control system, since they can save the energy and control unnecessary breakdowns in a robust manner. The technique developed for non-magnetic object detection is having single static background. Establishing background and background subtraction from continuous video input frames forms the basis. Detection of non-magnetic materials which are moving with raw materials and taking immediate action at the same stage as material handling system will avoid the breakdowns or power wastage. The authors achieve accuracy up to 95% with the computational time of not more than 1.5 seconds for complete system execution.

scholarly journals Waste Electrical and Electronic Equipment: A Review on the Identification Methods for Polymeric Materials

Recycling ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 32 ◽  
Author(s):  
Grigorescu ◽  
Grigore ◽  
Iancu ◽  
Ghioca ◽  
Ion
Keyword(s):  
Polymeric Materials ◽  
Industrial Applications ◽  
Complete Characterization ◽  
Electronic Equipment ◽  
Raw Material ◽  
Identification Methods ◽  
Material Resources ◽  
Characteristic Values ◽  
Materials Used

Considering that the large quantity of waste electrical and electronic equipment plastics generated annually causes increasing environmental concerns for their recycling and also for preserving of raw material resources, decreasing of energy consumption, or saving the virgin materials used, the present challenge is considered to be the recovery of individual polymers from waste electrical and electronic equipment. This study aims to provide an update of the main identification methods of waste electrical and electronic equipment such as spectroscopic fingerprinting, thermal study, and sample techniques (like identification code and burning test), and the characteristic values in the case of the different analyses of the polymers commonly used in electrical and electronic equipment. Additionally, the quality of the identification is very important, as, depending on this, new materials with suitable properties can be obtained to be used in different industrial applications. The latest research in the field demonstrated that a complete characterization of individual WEEE (Waste Electric and Electronic Equipment) components is important to obtain information on the chemical and physical properties compared to the original polymers and their compounds. The future directions are heading towards reducing the costs by recycling single polymer plastic waste fractions that can replace virgin plastic at a ratio of almost 1:1.

scholarly journals A Tale of Two Tiles: Characterization of Floor Tiles from the Nineteenth-Century Akko Tower Shipwreck (Israel)

Coatings ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1091
Author(s):  
Alexandra Inberg ◽  
Dana Ashkenazi ◽  
Yishai Feldman ◽  
Omri Dvir ◽  
Deborah Cvikel
Keyword(s):  
Secondary Ion Mass Spectrometry ◽  
Raw Materials ◽  
Type A ◽  
Raw Material ◽  
Brown Pigment ◽  
Blue Color ◽  
Type B ◽  
Yellow Color ◽  
Floor Tiles

Fragments of decorated floor tiles were retrieved from the Akko Tower shipwreck, Israel. Most tiles were made of bright brown fired clay with a white glaze decorated with colored stenciled motifs (Type A); and others consisted of a red-brown fired clay body, coated with a brown pigment covered with transparent brown glaze (Type B). This study aimed to characterize the two tile types; to reveal information concerning the manufacturing process; and to determine the origin of their raw material. A multidisciplinary approach was used, including light microscopy, SEM-EDS, electron probe microanalysis with wavelength-dispersive X-ray spectroscopy (EPMA-WDS), XRD, Raman spectroscopy, and time-of-flight secondary ion mass spectrometry (TOF-SIMS) analyses. The characterization of both tile types demonstrated the use of different raw materials. The Type A tiles were covered with tin-opacified majolica glaze and colored with various mixtures of pigments. The blue color was due to pigment rich in cobalt; the yellow color was due to Naples yellow and lead-tin yellow I minerals; and the green, orange, and brown colors were all prepared by mixing the Naples yellow pigment with different minerals. These majolica glaze tiles were probably manufactured in Sicily. The brown coating of the Type B tiles was due to pigment rich in lead and iron minerals. These tiles were produced with different manufacturing processes, and apparently made in France.

Chemical-physical and mineralogical characterization of ceramic raw materials from Moroccan northern regions: Intriguing resources for industrial applications

2019 ◽  
Vol 182 ◽  
pp. 105274 ◽  
Author(s):  
Manal Monsif ◽  
Abdelaziz Zerouale ◽  
Noureddine Idrissi Kandri ◽  
Mirto Mozzon ◽  
Paolo Sgarbossa ◽  
...  
Keyword(s):  
Raw Materials ◽  
Industrial Applications ◽  
Mineralogical Characterization ◽  
Northern Regions

QUALIDADE DO CALDO PARA PRODUÇÃO DE ETANOL EM CULTIVARES DE SORGO SACARINO SOB ADUBAÇÃO NITROGENADA

2017 ◽  
Vol 16 (3) ◽  
pp. 388
Author(s):  
CRISTÓBAL SOTO SOLANO ◽  
NIRALDO JOSÉ PONCIANO ◽  
ROGÉRIO FIGUEIREDO DAHER ◽  
RAFAEL AUGUSTO DA COSTA ◽  
PAULO MARCELO DE SOUZA ◽  
...  
Keyword(s):  
Ethanol Production ◽  
Nitrogen Fertilization ◽  
Ethanol Yield ◽  
Raw Materials ◽  
Raw Material ◽  
Maximum Value ◽  
Total Reducing Sugars ◽  
Nitrogen Rates

 RESUMO - O sorgo sacarino tem potencial de uso como fonte de matéria-prima para a produção de bioetanol. Objetivou-se, com este estudo, analisar o efeito da adubação nitrogenada de cobertura na qualidade do caldo para produção de etanol de quatro cultivares de sorgo sacarino. O experimento foi conduzido em Campos dos Goytacazes- RJ, de janeiro a maio de 2014. Foram estudadas quatro cultivares de sorgo sacarino: BRS 506, BRS 508, BRS 509 e BRS 511 e cinco de doses de nitrogênio (0, 80, 160, 240 e 320 Kg ha-1), aplicadas aos 25 e 45 dias após semeadura. Os resultados mostraram que valor Brix, açúcares redutores totais, açúcares totais recuperáveis, volume do caldo e rendimento de etanol foram afetados pela adubação nitrogenada. Para todas as características, o valor máximo foi obtido pela dose de 240 kg de N ha-1. Entre as cultivares, a BRS 506 mostrou-se superior em produção de caldo e rendimento de etanol. Enquanto a BRS 511 destacou-se nos atributos ART e ATR, e a cultivar BRS 508 sobressaiu-se no valor Brix. A cultivar BRS 506 apresentou melhor resultado combinado, com maior volume de caldo e rendimento de etanol com as doses de 204 e 212 kg N ha-1, respectivamente. Palavras-chave: biocombustíveis, rendimento de álcool carburante, atributos industriais, caracterização da matéria prima, genótipos. QUALITY OF BROTH FOR ETHANOL PRODUCTION IN CULTIVARS OF SACARINE SORGHUM UNDER NITROGEN FERTILIZATION  ABSTRACT - Sweet sorghum has potential as a source of raw material for the production of bioethanol. The objective of this study was to analyze the effect of nitrogen topdressing on the quality of the juice for ethanol production from four cultivars of sorghum. The experiment was conducted in Campos, State of Rio de Janeiro, Brazil, from January to May 2014. Four cultivars of sorghum: BRS 506, BRS 508, BRS 509 and BRS 511 were studied, and five nitrogen rates (0, 80, 160, 240 and 320 kg ha-1), applied to 25 and 45 days after sowing. The results showed that the value Brix, total reducing sugars, total recoverable sugars, broth volume and ethanol yield were affected by nitrogen fertilization. For all features, the maximum value was obtained for the dose of 240 kg N ha-1. Among cultivars, BRS 506 was superior in production of broth and ethanol yield. BRS 511 stood out in the attributes ART and ATR, and BRS 508, in value Brix. BRS 506 had better combined result of higher volume of juice and ethanol yield with doses of 204 and 212 kg N ha-1, respectively Keywords: biofuels, fuel ethanol output, industrial attributes, characterization of raw materials, genotypes.   

scholarly journals Investigations of quartz raw materials from the locality of Rekovac muncipality

2019 ◽  
Vol 73 (4) ◽  
pp. 265-274
Author(s):  
Slavica Mihajlovic ◽  
Zivko Sekulic ◽  
Jovica Stojanovic ◽  
Vladan Kasic ◽  
Iroslav Sokic ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Physical Properties ◽  
Quartz Sand ◽  
Raw Materials ◽  
Construction Materials ◽  
Size Fraction ◽  
Point Of View ◽  
Raw Material ◽  
Potential Applications

Quality of raw materials, including quartz sand and quartzite, varies from one deposit to another. Furthermore, the material quality determines in which industrial branches it can be used after certain preparation processes. Potential applications of quartz raw materials are: in the construction and refractory industry, ceramics and glass industry, then in metallurgy, foundry and also in production of water treatment filters. Geological investigations of the central Serbia region, in the Rekovac municipality, resulted in identification of occurrence of quartz sand ("Ursula") and quartzite ("Velika Krusevica"). Preliminary laboratory tests and characterization of the quartz sand size fraction -0.63+0.1 mm confirmed the possibility of applying this size fraction in the construction materials industry, while the quartzite can be used in refractory, glass and metallurgy industries. After determining the geological reserve of quartz sand "Ursula" and quartzite "Velika Krusevica", detailed investigations are required. Quality conditions from the aspect of chemical composition and physical properties of quartz sand and quartzite are mostly clearly defined by a special standard for this purpose. On the other hand, there are also application areas where standards does not exist, but users define their quality conditions. This example is with the application of quartz sand in the production of water glass. Chemical composition as well is not always the determining factor for the application of quartz raw material. For example, for quartz sand used for sandblasting, grain form is essential. From the economic analysis point of view, the prices of quartz raw materials vary depending on their chemical and physical properties. After all, what needs to be pointed out is the fact that these raw materials are very widespread in nature and that their exploitation is quite simple. After the raw material is excavated, it is stored and further sieved, washed, dried and processed according to customer requirements. All of these processes are cheaper than preparing, for example, limestone, and significaly cheaper than preparation of metal ores.

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