Relevant bibliographies by topics / Moisture content

Academic literature on the topic 'Moisture content'

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Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Moisture content"

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Kumar, Ch Sravan, K. V. Prakash, Sanjeeva Reddy, Sushilendra, P. Vijaykumar, Krishnamurty, and M. Nemichandrappa. "Bending and cutting characteristics of the Cotton stalk." Ecology, Environment and Conservation 28 (2022): 51–57. http://dx.doi.org/10.53550/eec.2022.v28i07s.009.

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The bending stress, modulus of elasticity and cutting energy was measured for Cotton stalks. The bending force was measured by a cantilever beam test in field at different moistures contents and at height of 100 mm and different stalkgirths, the bending stress and modulus of elasticity was determined from these data. The cutting energy was measured by using pendulum impact tester. Maximum bending stress of 7.85 MPa was observed at 26 mm stalk girth with 10 ±5 % (w.b) moisture content. Minimum bending stress of 2.55 MPa was observed at 14 mm girth with 30±5 %(w.b) moisture content. Maximum modulus of elasticity of 40.29 MPa was observed at 26 mm girth with 10±5 % %(w.b) moisture content. Minimum modulus of elasticity of 23.14 MPa was observed at 14 mm girth with 30±5 % (w.b) moisture content. It was observed that the maximum cutting energy of 583.37 kJ were observed for 26 mm stalk girth with 10 ±5 % (w.b) moisture content and minimum cutting energy of 72.32 kJ was observed at 30 ± 5 % (w.b) moisture content (w.b) for 14 mm stalk girth. Bending stress increased as the stalk girth increased and decreased as the moisture content increased. Modulus of elasticity increased as the stalk girth increased and decreased as the stalk moisture increased. The cutting energy of cotton stalk increased as the moisture content decreased and the stalk girth increased. The velocity of cut increased as the stalk girth increased at all three moisture contents.
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Sivritepe, N., H. Ö. Sivritepe, and C. Türkben. "Determination of moisture content in grape seeds." Seed Science and Technology 36, no. 1 (April 1, 2008): 198–200. http://dx.doi.org/10.15258/sst.2008.36.1.21.

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Janier, Josefina B., and Maliki B. Maidin. "Paddy Moisture Content Detector." Journal of Applied Sciences 11, no. 8 (April 1, 2011): 1476–78. http://dx.doi.org/10.3923/jas.2011.1476.1478.

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J. Fan, T. J. Siebenmorgen, and B. P. Marks. "EFFECTS OF VARIETY AND HARVEST MOISTURE CONTENT ON EQUILIBRIUM MOISTURE CONTENTS OF RICE." Applied Engineering in Agriculture 16, no. 3 (2000): 245–51. http://dx.doi.org/10.13031/2013.5136.

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Chrosciewicz, Z. "Prediction of forest-floor moisture content on jack pine cutovers." Canadian Journal of Forest Research 19, no. 2 (February 1, 1989): 239–43. http://dx.doi.org/10.1139/x89-033.

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Moisture contents of organic forest-floor materials were studied by strata on a clear-cut jack pine (Pinusbanksiana Lamb.) site in relation to slash distribution and changes in both duff moisture code and fine fuel moisture code, the two weather-based components of the Canadian Forest Fire Weather Index System. The best-fitting curvilinear regression (Y = a + b/X) of the duff moisture code showed distinctive patterns of variation, so that both the surface and subsurface forest-floor strata were consistently moister under slash cover than in slash openings, and for each of these two slash conditions, the subsurface forest-floor strata were consistently moister than the surface strata. Combinations of these materials down to mineral soil showed intermediate moisture contents both in slash openings and under slash cover. The straight line regression (Y = a + bX) of the fine fuel moisture code was the best-fitting moisture content relationship for the surface forest-floor materials, but only in slash openings; under slash cover, the curvilinear regression (Y = a + b/X) of the duff moisture code was more suitable. The coefficients of correlation, r, as derived from these varied regressions, were all very highly significant at P < 0.001.
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Rossa, Carlos G., Paulo M. Fernandes, and Anita Pinto. "Measuring foliar moisture content with a moisture analyzer." Canadian Journal of Forest Research 45, no. 6 (June 2015): 776–81. http://dx.doi.org/10.1139/cjfr-2014-0545.

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Near-instantaneous estimation of the moisture content of live fuels is complicated because of the large control exerted by physiological mechanisms. The commonly accepted reference method for measuring fuel moisture content is oven drying, which is time consuming. This study evaluates the use of a moisture analyzer (ML-50, A&D Company, Limited, Tokyo, Japan) for measuring the foliar moisture content of two common European species. The moisture of live leaves of Arbutus unedo L. (strawberry tree) and Quercus robur L. (pedunculate oak) was measured within a period of 15 min using two drying temperatures and compared with the oven-dried value. Correction factors were determined for estimating the oven-dried moisture content based on the measurement by the moisture analyzer. The power delivered during the drying process plays an important role in the moisture measured by the analyzer in relation to the oven-dried value. Increasing the drying time beyond the minimum period necessary for obtaining a reliable prediction of the oven-dried moisture does not significantly change the moisture measured at lower temperatures. The moisture analyzer is able to estimate the live foliage moisture content with high accuracy.
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Kammar, Shweta, Bhagat G. Inamdar, and S. B. Kulkarni. "Detection of Moisture Content of Fruits Using ANN." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (October 31, 2016): 27–31. http://dx.doi.org/10.9756/bijsesc.8237.

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Chen, Haiyan, Qingguo Yao, Qiqi Liu, Hao Liu, and Xinyan Zhang. "Effects of Moisture Content on the Minimum Explosible Concentration of Aluminum Powder and the Related Mechanism." Journal of Energy 2020 (February 19, 2020): 1–10. http://dx.doi.org/10.1155/2020/1393891.

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Aluminum powder has been widely applied to various industries. However, its high activity and high burn rate can cause serious explosion risks. Many factors affecting the explosion of aluminum powder have been determined, yet moisture content has not been included. In the present work, the minimum explosible concentrations of aluminum powders with different moisture contents were measured with a 20-liter explosion test apparatus using the explosion accident in Kunshan, China, as a study case. The experimental results suggest that the minimum explosible concentration of aluminum powder dramatically increases with the increase of its moisture content first and the increasing trend becomes slower as the moisture content further increased. The oxidation time has no significant effects on the minimum explosible concentration of aluminum power in 8 hours at room temperature. Further investigation suggests that the moisture lowers the explosion risk of aluminum powder by altering its surface oxide film, ignition, and combustion process. The low contents of moisture in the range of 0%-8% increase the minimum explosible concentration of aluminum powder by inhibiting the reaction kinetics and particle agglomeration, while high contents of moistures in the range of 8%-20% affect the minimum explosible concentration by the endothermic effect and oxygen dilution effect.
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Huh, Man Kyu, and Byeongryong Lee. "The Change of Chlorophyll Content and Chlorophyll Efficiency in Epipremnum aureum by Water and pH." European Journal of Botany 1, no. 2 (September 2, 2022): 1–5. http://dx.doi.org/10.24018/ejbotany.2022.1.2.12.

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Epipremnum aureum (pothos) is an herbaceous species and is originated to tropical or subtropical South East Asia and Solomon islands. This study investigated the effect of excessive moisture on chlorophyll content and photosynthesis efficiency on E. aureum. The chlorophyll a, b, and total (chlorophyll a + b) contents were measured by using spectrophotometer. Fluorescence analysis for chlorophyll efficiency was measured with the PAM Chlorophyll Fluorometer. The chlorophyll content increases when moisture increases to 30%, but gradually decreases when it exceeds 40%. When the soil moisture was 80%, the values of chlorophyll a and b were 0.317 mg/g and 0.126 mg/g, respectively. This decreased the chlorophyll a, b, and total contents by 38.1%, 46.6%, and 36.8%, respectively, compared to 30% in 80% moisture. The chlorophyll content was highest at pH 6.5 of the soil. The content for chlorophylls a, b, and total were 0.471, 0.219, and 0.446 mg/g at pH 6.5, respectively. The correlation coefficients were subjected of the chlorophyll efficiency as a function of moistures. The change of chlorophyll efficiency in the quenched state (Fv) was also increased at 30% of moisture and then decreased steeply. The maximal possible value for fluorescence (Fm) was varied from 4310 (40% moisture) to 4220 (80% moisture). The Fm was varied from 4098 (pH 4.0) to 4356 (pH 6.5). The maximum quantum yield of photosynthesis (Fv/Fm) was varied from 0.798 (30% moisture) to 0.810 (60% moisture). The slope factors of Fo, Fm, Fv, and Fv/Fm for chlorophyll efficient indicators were 0.938, -0.806, 0.013, and 0.846, respectively. Excess watering decreased chlorophyll a, chl b, and chl (a + b) contents, and the chl a/b ratio in the E. aureum. The growth of this species was not as sensitive to pH compared to moisture.
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QUERLEUX, B., J. BITTOUN, C. MULLER, S. AKOKA, F. Franconi, J. GUESNET, J. M. BARRET, D. DERSIGNY, B. BREDA, and P. BEAU. "Measurement of epidermal moisture content." British Journal of Dermatology 135, no. 1 (July 1996): 144–45. http://dx.doi.org/10.1046/j.1365-2133.1996.d01-953.x.

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Dissertations / Theses on the topic "Moisture content"

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Amjad, Muhammad. "Seed irradiation in relation to moisture content." Thesis, University of Salford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281596.

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Vikberg, Tommy. "Moisture content measurement in the wood industry." Licentiate thesis, Luleå tekniska universitet, Träteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-18148.

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In the wood industry, determination of the moisture content (mc) with a highaccuracy is of great importance. The green mc is important for optimisation of thewood drying process at sawmills, whereas the mc of dried boards is of interest for thefurther processing and final use of the boards. In the first publication in this thesis,which is a technical report written in Swedish, different measuring techniques withtheir own pros and cons are discussed. A total of 13 different measurement principlesare discussed, focusing on the ability to measure mc in the range of 7-18%. The resultsuggests that mc-meters that use electromagnetic waves in the radio- and microwaveranges have the greatest potential to become the next generation mc-meters for driedboards.The second publication, which is presented in this thesis, investigates the possibilityof measuring the green sapwood mc in pine logs by combining industrial X-rayscanners and 3D-scanners. The method is shown to be suitable for identifying batchesof logs in which the sapwood has begun to dry prior to sawing, rather than predictingthe sapwood mc with high accuracy at the level of individual logs.In a single board, one would ideally like to measure the mc profile over the entirecross section to determine the mc gradient. However, the measured result is affectedin the vicinity of the board edges. In the third publication, the existence of thisproblem is identified, and it is shown that it can be decreased by using correlationfunctions generated by finite element simulations of the measurement system.The fourth publication considers the potential to increase the measurement accuracyof the mc of single boards by combining different measurement techniques.Microwaves, X-rays and visual sorting into different wood quality classes are used. Itis shown that the measurement accuracy is increased by the addition of both the Xraymeasurements and the visual sorting. This result is interesting because visualsorting is usually already present in the final sorting of large sawmills. This is alsowhere the mc measurement preferably is to be performed.
Godkänd; 2012; 20120315 (tomvik); LICENTIATSEMINARIUM Ämnesområde: Träfysik/Wood Physics Examinator: Professor Tom Morén, Institutionen för teknikvetenskap och matematik, Luleå tekniska universitet Diskutant: Teknologie licentiat Björn Källander, Stora Enso Timber AB, Falun Tid: Torsdag den 26 april 2012 kl 10.00 Plats: Hörsal A, Campus Skellefteå, Luleå tekniska universitet
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Nyström, Jenny. "Rapid measurements of the moisture content in biofuel." Doctoral thesis, Mälardalens högskola, Institutionen för samhällsteknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-130.

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An increasing number of power plants in Scandinavia are beginning to use biofuel instead of coal or oil. The material in the new fuel is a mixture of woodchips, mostly Pine, Spruce and Salix, bark, GROT (tops and branches from felling waste) and sawdust from sawmills. It is heterogeneous, having a moisture content varying from 15% up to 65%. The moisture content affects the combustion of the fuel and therefore its commercial value. The industry is now interested in obtaining a method for measuring the moisture content of biofuel, quickly and reliably; preferably on delivery at the power plant. The measuring technique presented in this thesis is the first reported in the literature capable of measuring the moisture content of a large sample of such an heterogeneous material as biofuel. The equipment is today calibrated for a sample volume of 0.1 m3. A radio frequent signal is supplied from an antenna and penetrates the biofuel. Its reflection is modeled using partial least squares. As part of the work presented in this thesis, a new type of measuring rig and an analysis method for measurement of the moisture content of large samples of heterogeneous material have been developed. A statistical model for moisture content measurements of five different biofuel materials using radio waves has been built, having a root mean square error of prediction of 2.7. The interactions between biofuels and radio frequent signals have been demonstrated, indicating a variation of the reflection with varying types of biofuel material and variation in the reflection and delay of the signal with varying moisture content.
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Jonsson, Ivar Mar. "Estimation and identification of moisture content in paper." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/29989.

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The purpose of this thesis is to summarize some results obtained for an improved moisture estimation and identification algorithm which extracts, the cross direction (CD) moisture profiles and machine direction (MD) moisture variations from the composite measured profile, in the presence of noise. The objective is to use the algorithm as part of a paper machine control system to maintain the moisture content of the sheet at a target value and keep a uniform cross-sectional profile shape. The estimation and identification scheme is based upon a nonlinear model, and consists of a modified least squares algorithm for estimating cross direction profile deviations and a Kalman filter for estimating machine direction variations and disturbances. The scheme, when tested on simulated data where the true profiles are known, is shown to give robust and effective results. Off-line testing of the algorithm on industrial data is also presented. Results from the on-line application of the algorithm working in closed loop in the industry are also included. Future work will consist of further industrial testing along with fine-tuning. The final objective is then to have this algorithm integrated in an overall paper machine control system, where other variables, such as basis weight and caliper, are estimated and controlled.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Jung, Sarah. "Sulphide self-heating: moisture content and sulphur formation." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114249.

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Spontaneous or self-heating of sulphides can occur under certain conditions of moisture, temperature and oxygen concentration. This can lead to emission of toxic gases such as SO2 and if uncontrolled, to ignition. Research has established that self-heating divides into three stages: A (below 100 oC), B (above 100 oC) and C (above 350 oC). The understanding is that conditions in stage A promote oxidation of sulphides to elemental sulphur which in stage B oxidizes to SO2. A standard test based on air injections is used to measure stage A and stage B self-heating. In this thesis, a mitigation method using hygroscopic reagents to control moisture has been tested on a pyrrhotite-rich material. Water retention capacity was determined to select reagents for application in the standard self-heating test. Tests showed that the water retention capacity correlated with mitigation of self-heating. Two reagents that showed the best mitigating effect were silica gel and poly (acrylic acid sodium salt).It is hypothesized that temperature and relative humidity have an effect on elemental sulphur production in stage A. To test, pyrrhotite (Fe1-xS) samples were exposed (weathered) at temperatures of 40 oC and 60 oC and relative humidities of 100%, 70% and 30% for 31 days. The weathering apparatus and sulphur analysis method are described. At the end of weathering (31 days), samples were subjected to stage B self-heating test. Self-heating rate and total number of air injections until heating ceased were determined. Both measurements showed that sulphur formed at 40 oC in stage A gave higher heating response than sulphur formed at 60 oC. This observation raises two possibilities that are discussed: there are different types of sulphur formed at the two temperatures; and there is a factor other than just sulphur content that controls stage B self-heating.
L'autochauffage spontané des sulfures peut se produire sous certaines conditions d'humidité et d'oxygène. Cela peut entraîner l'émission de gaz toxiques tel que le SO2. Si l'autochauffage n'est pas contrôlé, la combustion peut se produire spontanément. La recherche a établi que l'autochauffage se divise en trois étapes, soit : l'étape A (en dessous de 100 oC), l'étape B (plus de 100 oC) et l'étape C (plus de 350 oC). Nous comprenons que l'oxydation des sulfures en soufre élémentaire survient lors de l'étape A. Le soufre élémentaire s'oxyde pour produire le SO2 dans l'étape B. L'autochauffage lors des étapes A et B est mesuré en utilisant un test standard qui injecte l'air dans les échantillons.Dans ce mémoire, la méthode testée pour l'atténuation des sulfures autochauffantes consistait à contrôler l'humidité en utilisant des produits hygroscopiques sur des échantillons riches en pyrrhotite. Le facteur de sélection des produits hygroscopiques utilisés lors des tests d'autochauffage était leur capacité de rétention d'eau. Les tests ont montré qu'il y a une corrélation entre la rétention d'eau et l'atténuation d'autochauffage. Le gel de silice et le polymère superabsorbant ont montré le meilleur effet d'atténuation. L'hypothèse émise était que la température et l'humidité relative ont un effet sur la production de soufre élémentaire lors de l'étape A. Pour vérifier l'hypothèse, l'échantillon de pyrrhotite (Fe1-xS) était exposé (érodée) à des températures de 40 oC et 60 oC et à une humidité relative de 100%, 70%, 30% pendant 31 jours. L'appareil d'érosion et la procédure d'analyse de soufre ont été décrits dans ce document. Suite à l'étape A (31 jours), les échantillons étaient soumis lors de l'étape B à un test d'autochauffage. Le taux d'autochauffage et le nombre total d'injections d'air avant que le chauffage cesse ont été déterminés. Les deux mesures ont démontré que le soufre qui est formé à 40 oC lors de l'étape A a donné une réponse de chauffage plus élevée que le soufre qui est formé à 60 oC. Cette observation permet de conclure à deux possibilités qui seront discutées : premièrement, des types de soufre différents se forment aux deux températures et deuxièmement, il y a un autre facteur d'autochauffage que la formation de soufre qui contrôle l'étape B.
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Hague, James R. B. "Effect of moisture content changes on wood creep." Thesis, Bangor University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358374.

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Gorthi, Swathi. "Prediction Models for Estimation of Soil Moisture Content." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1090.

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This thesis introduces the implementation of different supervised learning techniques for producing accurate estimates of soil moisture content using empirical information, including meteorological and remotely sensed data. The models thus developed can be extended to be used by the personal remote sensing systems developed in the Center for Self-Organizing Intelligent Systems (CSOIS). The dfferent models employed extend over a wide range of machine-learning techniques starting from basic linear regression models through models based on Bayesian framework. Also, ensembling methods such as bagging and boosting are implemented on all models for considerable improvements in accuracy. The main research objective is to understand, compare, and analyze the mathematical backgrounds underlying and results obtained from dfferent models and the respective improvisation techniques employed.
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Haigh, Arthur D. "A study of microwave moisture measurement in bulk materials." Thesis, Manchester Metropolitan University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387247.

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Moisture measurements play an important role in many material preparations and industrial processes. Microwave techniques have been used for several decades for such measurements. Shortcomings associated with the method have been addressed. Graphical solutions used hitherto to obtain the permittivity from waveguide measurements have been replaced by computer programs. The accuracy of measurement have been improved by the development of waveguide standards and the implementation of calibration procedures. Permittivity measurements in through and short circuited rectangular waveguides are reported on a wide range of solid, granular and liquid materials important to the food industry. Techniques to suppress standing wave effects have enabled accurate plane wave measurements of permittivity. For bulk materials, new measurement probes have been developed for on line measurements and associated with these probes lower cost instrumentation has been considered. The· main outcome of the study is the improvement in permittivity measurements of sample quantities of material. Moisture measurements in bulk materials have been facilitated by novel non invasive probes.
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van, Dyk Hermanus H. "Ultrasonic Evalutation of Defects and Moisture Content of Lumber." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/vanDykHH2004.pdf.

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Manchikanti, Ujwala. "Evaluation of microwave sensor for soil moisture content determination." [Ames, Iowa : Iowa State University], 2007.

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Books on the topic "Moisture content"

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Green, David W. Moisture content and the shrinkage of lumber. [Madison, WI]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1989.

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Green, David W. Moisture content and the shrinkage of lumber. [Madison, WI]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1989.

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Green, David W. Moisture content and the shrinkage of lumber. [Madison, WI]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1989.

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Amjad, Muhammad. Seed irradiation in relation to moisture content. Salford: University of Salford, 1994.

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Forsén, Holger. Accuracy and functionality of hand held wood moisture content meters. Espoo [Finland]: Technical Research Centre of Finland, 2000.

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Downing, Troy. Valuing forages based on moisture and nutrient content. [Corvallis, Or.]: Oregon State University Extension Service, 1999.

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E, Phelps John, and North Central Forest Experiment Station (Saint Paul, Minn.), eds. Northern hardwood notes: Variation in seasonal moisture content. [St. Paul, Minn.?: U.S. Dept. of Agriculture], North Central Forest Experiment Station, 1987.

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Forest Products Laboratory (U.S.), ed. Effect of moisture content on nail bearing strength. [Madison, WI]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2001.

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Schneider, Gary L. Buying and selling forages based on moisture content. [Corvallis, Or.]: Oregon State University Extension Service, Washington State University Cooperative Extension, University of Idaho Cooperative Extension Service, and U.S. Dept. of Agriculture, 1987.

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Green, David W. Moisture content and the properties of clear southern pine. Madison, WI (1 Gifford Pinchot Dr., Madison 53705-2398): U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1994.

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Book chapters on the topic "Moisture content"

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Bährle-Rapp, Marina. "moisture content." In Springer Lexikon Kosmetik und Körperpflege, 359. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_6671.

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Gooch, Jan W. "Moisture Content." In Encyclopedic Dictionary of Polymers, 468. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_7605.

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Watano, Satoru. "Moisture Content." In Powder Technology Handbook, 193–94. Fourth edition. | Boca Raton, FL : Taylor & Francis Group, LLC, 2020.: CRC Press, 2019. http://dx.doi.org/10.1201/b22268-27.

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Delgado, João M. P. Q., António C. Azevedo, and Ana S. Guimarães. "Moisture Content Determination." In Interface Influence on Moisture Transport in Building Components, 17–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30803-2_3.

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Nielsen, S. Suzanne. "Moisture Content Determination." In Food Analysis Laboratory Manual, 105–15. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44127-6_10.

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Erich, Bart J. F., and Leo Pel. "Moisture content measurement." In Fundamentals of mold growth in indoor environments and strategies for healthy living, 305–34. Wageningen: Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-722-6_11.

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Kobranova, V. N. "Moisture content, moisture capacity, electrical double layer." In Petrophysics / ПЕТРОФИЗИКА, 33–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-09244-6_4.

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Nielsen, S. Suzanne. "Determination of Moisture Content." In Food Analysis Laboratory Manual, 17–27. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1463-7_3.

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Nielsen, S. Suzanne. "Determination of Moisture Content." In Food Analysis Laboratory Manual, 13–22. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-5250-2_3.

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Skjöldebrand, Christina, and Karin Thorvaldsson. "Moisture Content Distribution and Moisture Diffusion in Foods During Heating." In Developments in Food Engineering, 346–48. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2674-2_108.

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Conference papers on the topic "Moisture content"

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Ponglangka, Wirot. "Paddy rice moisture content meter." In 2015 15th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2015. http://dx.doi.org/10.1109/iccas.2015.7364632.

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Hughes, Wendy E. M., and Eric D. Larson. "Effect of Fuel Moisture Content on Biomass-IGCC Performance." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-004.

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The moisture level in biomass fuels potentially impacts efficiency in conversion to power. This paper examines the efficiency and net power output of a circulating fluidized bed gasifier-combined cycle with flue gas drying for a range of as-received raw biomass moisture contents and levels of pre-gasification drying. Due to the lack of empirical data available, a modeling approach is used to simulate the effect of varying moisture content in the gasifier feed biomass. Below 30%, the raw-biomass moisture content has a negligible effect on the cycle efficiency and net power output. Higher moisture contents significantly reduce cycle efficiency. For a specified as-received biomass moisture content, drying prior to gasification increases overall efficiency, but the gains in efficiency decrease with increasing levels of drying.
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Jiuqing Liu. "Resonator Sensor for Moisture Content Measurement." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1713335.

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Mahmoud K Khedher Agha, Won Suk (Daniel) Lee, Ray A Bucklin, Arthur A Teixeira, and Ann R Blount. "Equilibrium Moisture Content of Triticale Seed." In 2013 Kansas City, Missouri, July 21 - July 24, 2013. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2013. http://dx.doi.org/10.13031/aim.20131620333.

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Alonso-Alonso, P., and V. P. De Freitas. "Moisture content influence on heat losses in ventilated façade." In 2nd International Conference on Moisture in Buildings 2023. ScienceOpen, 2023. http://dx.doi.org/10.14293/icmb230007.

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Nystro¨m, Jenny, Eva Thorin, Stefan O. Backa, and Erik Dahlquist. "Moisture Content Measurements on Sawdust With Radio Frequency Spectroscopy." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50119.

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The aim of the research described in this paper is to measure moisture content in biomass fuel with radio frequency spectroscopy. The advantage with this method is that radio waves penetrate large samples, and thereby gives an average moisture content representing the whole sample. The method is fast and is a small scale version of what can be applied in the future on-line for biomass fuel arriving in containers to the power plants. The moisture content is determined with a sensor that measure attenuation and phase shift for a frequency spectrum from 310 MHz to 900 MHz. The measurements are performed on sawdust with moisture contents normally occurring in power plants (from 34 to 65%). Multivariate data analysis is used for evaluation of the dielectric spectra from samples with known moisture content. Our results show that it is possible to measure moisture content in sawdust using radio frequency spectroscopy. A partial least square model is built on samples from sawdust. The moisture content varied between 34 and 60%. A standard error for the cross validation of 0.99% and a correlation factor of 0.99 was received. It is known that dielectric properties are also influenced by bulk density and temperature. Tests show that the influence of the bulk density is of greater importance. Further calibration measurements have to be performed to be able to make reliable measurements on the different bio fuels used at power plants.
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Yu, Xu Feng, Wei Zhuo, Xinting Li, Feng Zhang, Shengwei Li, and Jie Feng. "Rapid prediction of potato leaf moisture content." In Infrared, Millimeter-Wave, and Terahertz Technologies VII, edited by Xi-Cheng Zhang, Masahiko Tani, and Cunlin Zhang. SPIE, 2020. http://dx.doi.org/10.1117/12.2575051.

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Yu Jiang, Guohui Yang, and Zhigong Chen. "Optimal BP Arithmetic in Moisture Content Measurement." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712935.

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Vallejos, Cristobal, and Walter Grote. "Wood moisture content measurement at 2.45 GHz." In 2009 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC 2009). IEEE, 2009. http://dx.doi.org/10.1109/imoc.2009.5427593.

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Mohan, R. Rajesh, Anju Pradeep, S. Mridula, and P. Mohanan. "Microwave imaging for soil moisture content estimation." In 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2016. http://dx.doi.org/10.1109/aps.2016.7696141.

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Reports on the topic "Moisture content"

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Ueno, Kohta. Analysis of Joint Masonry Moisture Content Monitoring. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1223631.

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Ueno, Kohta. Analysis of Joist Masonry Moisture Content Monitoring. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1226468.

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Phifer, M. MOISTURE CONTENT AND POROSITY OF CONCRETE RUBBLE STUDY. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/920664.

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Labuschagne, B. C. J., R. Markuszewski, T. D. Wheelock, R. K. Guo, and H. T. David. Moisture content as a predictor of coal hydrophobicity. Office of Scientific and Technical Information (OSTI), December 1988. http://dx.doi.org/10.2172/10163787.

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Berney, IV, Kyzar Ernest S., Oyelami James D., and Lawrence O. Device Comparison for Determining Field Soil Moisture Content. Fort Belvoir, VA: Defense Technical Information Center, November 2011. http://dx.doi.org/10.21236/ada552792.

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Al-Qadi, Imad, Qingqing Cao, Lama Abufares, Siqi Wang, Uthman Mohamed Ali, and Greg Renshaw. Moisture Content and In-place Density of Cold-Recycling Treatments. Illinois Center for Transportation, May 2022. http://dx.doi.org/10.36501/0197-9191/22-007.

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Cold-recycling treatments are gaining popularity in the United States because of their economic and environmental benefits. Curing is the most critical phase for these treatments. Curing is the process where emulsion breaks and water evaporates, leaving residual binder in the treated material. In this process, the cold-recycled mix gains strength. Sufficient strength is required before opening the cold-treated layer to traffic or placing an overlay. Otherwise, premature failure, related to insufficient strength and trapped moisture, would be expected. However, some challenges arise from the lack of relevant information and specifications to monitor treatment curing. This report presents the outcomes of a research project funded by the Illinois Department for Transportation to investigate the feasibility of using the nondestructive ground-penetrating radar (GPR) for density and moisture content estimation of cold-recycled treatments. Monitoring moisture content is an indicator of curing level; treated layers must meet a threshold of maximum allowable moisture content (2% in Illinois) to be considered sufficiently cured. The methodology followed in this report included GPR numerical simulations and GPR indoor and field tests for data sources. The data were used to correlate moisture content to dielectric properties calculated from GPR measurements. Two models were developed for moisture content estimation: the first is based on numerical simulations and the second is based on electromagnetic mixing theory and called the Al-Qadi-Cao-Abufares (ACA) model. The simulation model had an average error of 0.33% for moisture prediction for five different field projects. The ACA model had an average error of 2% for density prediction and an average root-mean-square error of less than 0.5% for moisture content prediction for both indoor and field tests. The ACA model is presented as part of a developed user-friendly tool that could be used in the future to continuously monitor curing of cold-recycled treatments.
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Simpson, W. T. Specific gravity, moisture content, and density relationship for wood. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 1993. http://dx.doi.org/10.2737/fpl-gtr-76.

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Coburn, John F. Moisture Content of Commercial Items Used in the MRE. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada468214.

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Antal, Jr, M. J., and X. Xu. Hydrogen production from high moisture content biomass in supercritical water. Office of Scientific and Technical Information (OSTI), August 1998. http://dx.doi.org/10.2172/305624.

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Murphy, E. M., J. E. Szescody, and S. J. Phillips. Moisture content and recharge estimates at the Yakima Barricade borehole. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10136642.

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