A wood-plastic composite (WPC) paver block was manufactured using wood chips waste through an extrusion process, and it was intended to be used for paving in basic rest areas. The first stage in this study covered preliminary tests in terms of flexural strength and dimensional swelling to determine the optimal WPC compounding mix condition, by variation of the WPC ingredients. Next, three different paver blocks including the WPC block, a non-porous cement block, and a porous cement block were tested in terms of various material properties in the laboratory. Finally, two outdoor test sections of the proposed paver blocks were prepared to simulate a basic rest area. Test results indicated that the flexural strength of the WPC paver blocks was about 1.6 times greater than that of the tested cement paver blocks. The WPC block pavement was unaffected by water buoyance as well as volume expansion due to swelling. Results from the impact absorbance test and light falling weight deflectometer (LFWD) test clearly showed that the WPC block paving system marginally satisfied the comfortable and safe hardness range from the pedestrians' perspective, while the results demonstrated that it is structurally sound for application as a road paving block.
Almashaqbeh, Hashem K.;Irshidat, Mohammad R.;Najjar, Yacoub
Smart Structures and Systems
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v.29
no.2
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pp.337-350
/
2022
This paper focuses on predicting the post-heating mechanical properties of cementitious composites reinforced with multi-scale additives using the Artificial Neural Network (ANN) approach. A total of four different feed-forward ANN models are developed using 261 data sets collected from 18 published sources. The models are optimized using 12 input parameters selected based on a comprehensive literature review to predict the residual compressive strength, the residual flexural strengths, elastic modulus, and fracture energy of heat-damaged cementitious specimens. Furthermore, the ANN is employed to predict the impact of several variables including; the content of polypropylene (PP) microfibers and carbon nanotubes (CNTs) used in the concrete, mortar, or paste mix design, length of PP fibers, the average diameter of CNTs, and the average length of CNTs. The influence of the studied parameters is investigated at different heating levels ranged from 25℃ to 800℃. The results demonstrate that the developed ANN models have a strong potential for predicting the mechanical properties of the heated cementitious composites based on the mixing ingredients in addition to the heating conditions.
To predict the rheological behaviours along with the compressive strength of self-compacting concrete that incorporates environmentally friendly ingredients as cement substitutes, a comparative evaluation of machine learning methods is conducted. To model four parameters, slump flow diameter, L-box ratio, V-funnel time, as well as compressive strength at 28 days-a complete mix design dataset from available pieces of literature is gathered and used to construct the suggested machine learning standards, SVM, MARS, and Mp5-MT. Six input variables-the amount of binder, the percentage of SCMs, the proportion of water to the binder, the amount of fine and coarse aggregates, and the amount of superplasticizer are grouped in a particular pattern. For optimizing the hyper-parameters of the MARS model with the lowest possible prediction error, a gravitational search algorithm (GSA) is required. In terms of the correlation coefficient for modelling slump flow diameter, L-box ratio, V-funnel duration, and compressive strength, the prediction results showed that MARS combined with GSA could improve the accuracy of the solo MARS model with 1.35%, 11.1%, 2.3%, as well as 1.07%. By contrast, Mp5-MT often demonstrates greater identification capability and more accurate prediction in comparison to MARS-GSA, and it may be regarded as an efficient approach to forecasting the rheological behaviors and compressive strength of SCC in infrastructure practice.
Natalia S. Fanelli;Leidy J. Torres-Mendoza;Jerubella J. Abelilla;Hans H. Stein
Animal Bioscience
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v.37
no.1
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pp.105-115
/
2024
Objective: A study was conducted to determine the chemical composition of barley and co-products from barley, corn, and wheat produced in South-East Asia or Australia, and to test the hypothesis that production area or production methods can impact the chemical composition of wheat co-products. Methods: Samples included seven barley grains, two malt barley rootlets, one corn gluten feed, one corn gluten meal, one corn bran, eight wheat brans, one wheat mill mix, and four wheat pollards. All samples were analyzed for dry matter, gross energy, nitrogen, amino acids (AA), acid hydrolyzed ether extract, ash, minerals, starch, and insoluble dietary fiber and soluble dietary fiber. Malt barley rootlets and wheat co-products were also analyzed for sugars. Results: Chemical composition of barley, malt barley rootlets, and corn co-products were in general similar across countries. Wheat pollard had greater (p<0.05) concentrations of tryptophan, magnesium, and potassium compared with wheat bran, whereas wheat bran had greater (p<0.05) concentration of copper than wheat pollard. There were no differences in chemical composition between wheat bran produced in Australia and wheat bran produced in Thailand. Conclusion: Intact barley contains more starch, but fewer AA, than grain co-products. There were only few differences in the composition of wheat bran and wheat pollard, indicating that the two ingredients are similar, but with different names. However, corn gluten meal contains more protein and less fiber than corn bran.
Ahn, Kyoung Suk;Lee, Min Hye;Kim, Ji Hye;Ha, Ji Hyang;Jang, Won Jin;Kim, Du Hyeon;Jeong, Ji Youn;Han, Min Su
Journal of Conservation Science
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v.37
no.1
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pp.63-76
/
2021
The purpose of this study is to scientifically analyze physicochemical characteristics of the roof tiles used for palaces in the Joseon Dynasty which stored in Changdeokgung material storage and Seooreung Jaesil and the modern handmade ones which made by N company to understand the differences between their manufacturing techniques. Through chromaticity, cross-sectional observation, component analysis, and crystal structure analysis, it was possible to confirm the physicochemical properties and fired properties of the roof tile. Roof tiles from the Joseon Dynasty have a wider colorimetric range and higher apparent porosity and water absorption, on average, than the modern roof tiles. The cross section of the Joseon Dynasty roof tiles shows that most clay minerals have not been vitrified, remaining in the form of atypical particles, while the modern roof tiles have denser clay materials. X-ray diffraction analysis identified low-temperature minerals such as micas in Joseon roof tiles but no peak of these minerals was observed in the modern roof tiles, implying that the modern ones are fired at higher temperature than the Joseon ones. Therefore, the modern roof tiles are fired at higher temperature and have higher density than the Joseon ones due to the use of pugmills. The general content of main ingredients was similar between the two. Additionally, the principal component analysis of trace elements in the Joseon roof tiles showed that most samples were from similar areas. It seems that the Joseon roof tiles were manufactured using soils supplied from a specific region at the same timeframe and their consistency in the content of principal components implies that they also have similar mix proportions of clay.
Ham, Ha Neul;Shrestha, Abinash Chandra;Kim, Ju Eun;Lee, Tae Bum;Yoo, Byoung Wan;Kim, Min Sook;Kim, Kwang Sang;Cha, Joon-Seok;Lee, Yong Mun;Kim, Jeong Yeob;Leem, Jae Yoon
Korean Journal of Pharmacognosy
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v.49
no.4
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pp.312-321
/
2018
Recently, consumer demand for functional cosmetics containing natural ingredients has been greatly expanded. To develop the natural cosmetic materials, we selected 3 plants, Chrysanthemum zawadskii Herbich (CZ), Perilla frutescens (L.) Britton var. acuta Kudo (PF), and Rosa multiflora Thunberg (RM) which showed high total flavonoid contents (TFC), total polyphenol contents (TPC), and strong DPPH radical scavenging effect. We determined astragalin, chlorogenic acid, and rosmarinic acid as a marker compound for quantitative analysis of the content of each material and standardization of the quality standards and manufacturing standards through LC/MS analysis. HPLC-DAD was used to simultaneously analyze these marker components of three natural product complexes (Mix) and to validate the analytical method through experiments such as linearity, accuracy and precision. The detection wavelengths were set at 210, 265, and 330 nm. The detected 3 compounds from extract of CZ, PF, RM showed significant linearity ($R^2${\geq_-}$0.9947). The limit of detection (LOD) of chlorogenic acid, astragalin and rosmarinic acid were $8.29{\mu}g/ml$, $2.28{\mu}g/ml$, and $27.00{\mu}g/ml$, respectively. The limit of quantification (LOQ) of chlorogenic acid, astragalin and rosmarinic acid were $25.11{\mu}g/ml$, $6.92{\mu}g/ml$, and $81.83{\mu}g/ml$, respectively. The contents of the three indicators of Mix were 19.82-24.71 mg/g of chlorogenic acid, 43.80-46.02 mg/g of astragalin, and 46.33-48.57 mg/g of rosmarinic acid.
Currently TMR feed produced in commercial plant is one of the major source to feed cattle for both beef and dairy farm. However, because of lack of cutting and mixing system for utilizing domestic produced firmly baled round roughage in commercial TMR plant, these commercial TMR feed can not satisfy to farmers both in quality and price points of view. In order to solve these problems, a farm group size TMR plant model was developed in this study. The model plant was consist of round bale receiving and cutting system, pneumatic conveying system for transfer the roughage which was cut at the cutter to TMR mixer through pneumatic conveyor, TMR mixer enable to soften the stiff rice strew and to mix with other ingredients, finished feed bin which can be transfer to either packing system or individual farm, packing system by tycon bag which contains 400 kg unit and bulk unloading system to individual farmer. Also, a simulation model ARENA was applied to the model system in order to evaluate and check the production rate in each unit process and operation rate of total system and to find out if there are any clogged unit system obstructing the smooth flow of the total process flow. Processing cycle for produce one batch of the model plant was less than 30 minutes. Thus, it will take less than four hours for producing 16 tons per day equivalent to 1,000 beef cattle's daily feed.
The objective of this study was to seek the best recipe for making Gamdanja. Gamdanja is a kind of rice cake made from persimmon extract and winy flour, with a little salt mixed into the waxy flour. The method involved boiling the persimmon extract and beating in the waxy rice powder until all the waxy flour had been added. The procedure was as follows: Gamdanja containing different ratios of ingredients, such as persimmon extract (23, 23.5 and 24 hrs) and waxy rice flour (160 and 180g). The most desirable recipe was determined after sensory examination and mechanical tests using texture, moisture content and colorimeter measurements. The results of the sensory evaluation showed that Gamdanja made using persimmon extracted for 23.5 hrs, with the additional of 160g of winy flour gave the higher scores for QDA profile, chewiness, delicacy and after swallowing preference than the other ratios. The results of the acceptance test also showed that the Gamdanja made using the persimmon extracted for 23.5 hrs with 160g of waxy rice flour was the best mix in every respect, such as for color and overall acceptability. In the textural analysis of Gamdanja, the hardness, adhesiveness, gumminess and chewiness were increased by the additiong of furtherway lour. The moisture content of Gamdnja with persimmon extracted for 23 hrs was higher an those extracted for 23.5 and 24 hrs. The L-, a- and values of Gamdanja were increased with decreasing waxy flour. The sensory and mechanical examinations showed the overall quality of Gamdanja had positive correlations with delicacy and color, but negative correlations with hardness, adhesiveness, gumminess, and chewiness. As a result of these tests, the most desirable recipe for the Gamdanja was persimmon extracted for 23.5 hrs with the additional of 160g of waxy rice flour, containing $1\%$ salt and a moisture content of $45.87\%$.
Restructuring had made it possible to utilize lower value cuts and meat trimmings from spent animals by providing convenience in product preparation besides enhancing tenderness, palatability and value. Milk co-precipitates (MCP) have been reported to improve the nutritional and functional properties of certain meat products. This study was undertaken to evaluate the influence of incorporation of milk co-precipitates at four different levels viz. 0, 10, 15 and 20% on the quality of restructured buffalo meat blocks. Low-calcium milk co-precipitates were prepared from skim milk by heat and salt coagulation of milk proteins. Meat chunks were mixed with the curing ingredients and chilled water in a Hobart mixer for 5 minutes, followed by addition of milk co-precipitates along with condiments and spice mix and again mixed for 5 minutes. Treated chunks were stuffed in aluminium moulds and cooked in steam without pressure for 1.5 h. After cooking, treated meat blocks were compared for different physico-chemical and sensory attributes. Meat blocks incorporated with 10% MCP were significantly better (p<0.05) than those incorporated with 0, 15 and 20% MCP in cooking yield, percent shrinkage and moisture retention. Sensory scores were also marginally higher for meat blocks incorporated with 10% MCP than product incorporated with 15 and 20% MCP, besides being significantly higher than control. On the basis of above results 10% MCP was considered optimum for the preparation of restructured buffalo meat blocks. Instrumental texture profile analysis revealed that meat blocks incorporated with 10% MCP were significantly better (p<0.05) in hardness/ firmness than control although, no significant (p>0.05) differences were observed in cohesiveness, springiness, gumminess and chewiness of both type of samples.
Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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2008.06a
/
pp.154-154
/
2008
Although the screen printing technology using photosensitive carbon nanotube (CNT) paste has many advantages such as low cost, simple process, uniform emission, and capability of mass production, the CNT paste needs to be improved further in CNT dispersion, printability, adhesion, electrical conductivity, population of CNT emitters, etc. Ball milling has been frequently employed to prepare the CNT paste as ball milling can mix its ingredients very well and easily cut the long, entangled CNTs. This study carried out a parametric approach to fabricating the CNT paste in terms of low-energy ball milling and a paste composition. Field emission properties of the CNT paste was characterized with CNT dispersion and electrical conductivity which were measured by a UV-Vis spectrophotometer and a 4-point probe method, respectively. Main variables in formulating the CNT paste include a length of milling time, and amounts of CNTs and conductive inorganic fillers. In particular, we varied not only the contents of conductive fillers but also used two different sizes of filler particles of ${\mu}m$ and nm ranges. Among many variations of conductive fillers, the best field emission characteristics occurred at the 5 wt% fillers with the mixing ratio of 3:1 for ${\mu}m$-and nm-sizes. The amount and size of fillers has a great effect on the morphology, processing stability, and field emission characteristics of CNT emitter dots. The addition a small amount of nm-size fillers considerably improved the field emission characteristics of the photosensitive CNT paste.
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