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"[Conserving the agricultural product has been a challenge for farmers to maintain the freshness during transportation. One of the methods is to reduce the level of moisture by drying the products by using solar dryer. The design of the solar collector thermal storage system has been done and completed. However, to evaluate the performance before the actual construction, a simulation is done. The simulation is done by using SolidWorks Flow Simulation. Simulation is done by stating all of the parameters required for the system and chose the approach of the result. The results are analysed as a medium for feedback on revision for the design. Two components are the main focus in the analysis, the solar collector and thermal storage. In both components, a flow simulation is done, evaluating the behaviour of airflow and thermal properties inside. Aside from the conventional design flow, a counter flow simulation is done as well, as the system is design to serve both directions of flow. The results analysed are the air distribution, the change in input and output temperature and also the time dependent study that run on a 12 hour time from 6.00 – 18.00 with climate properties in Brisbane on 1st January 2012. The result shows that the solar collector increases the air temperature by 24 K to a maximum of 317.68 K with several heat build-ups on the edges due to turbulence. Similar pattern shows up as well on the opposite flow but with lower temperature by around 3 K. in thermal storage, a faster velocity occurs on opposite flow that caused by dimension difference on the top and bottom chamber. In both flows, the flow is well distributed throughout the system., Conserving the agricultural product has been a challenge for farmers to maintain the freshness during transportation. One of the methods is to reduce the level of moisture by drying the products by using solar dryer. The design of the solar collector thermal storage system has been done and completed. However, to evaluate the performance before the actual construction, a simulation is done. The simulation is done by using SolidWorks Flow Simulation. Simulation is done by stating all of the parameters required for the system and chose the approach of the result. The results are analysed as a medium for feedback on revision for the design. Two components are the main focus in the analysis, the solar collector and thermal storage. In both components, a flow simulation is done, evaluating the behaviour of airflow and thermal properties inside. Aside from the conventional design flow, a counter flow simulation is done as well, as the system is design to serve both directions of flow. The results analysed are the air distribution, the change in input and output temperature and also the time dependent study that run on a 12 hour time from 6.00 – 18.00 with climate properties in Brisbane on 1st January 2012. The result shows that the solar collector increases the air temperature by 24 K to a maximum of 317.68 K with several heat build-ups on the edges due to turbulence. Similar pattern shows up as well on the opposite flow but with lower temperature by around 3 K. in thermal storage, a faster velocity occurs on opposite flow that caused by dimension difference on the top and bottom chamber. In both flows, the flow is well distributed throughout the system.]"

"Multi-phase flows are part of our natural environment such as tornadoes, typhoons, air and water pollution and volcanic activities as well as part of industrial technology such as power plants, combustion engines, propulsion systems, or chemical and biological industry. The industrial use of multi-phase systems requires analytical and numerical strategies for predicting their behavior. .In its fourth extended edition the successful monograph package “Multiphase flow daynmics” contains theory, methods and practical experience for describing complex transient multi-phase processes in arbitrary geometrical configurations, providing a systematic presentation of the theory and practice of numerical multi-phase fluid dynamics.In the present third volume methods for describing of the thermal interactions in multiphase dynamics are provided. In addition a large number of valuable experiments is collected and predicted using the methods introduced in this monograph. In this way the accuracy of the methods is revealed to the reader."

"Telah dilakukan pengujian untuk menentukan kapasitas panas sebagai fungsi temperatur terhadap material campuran dengan komposisi bervariasi, menggunakan kalorimeter DSC (Differential Scanning Calorimetry). Sebagai material campuran diambil logam Fe dan Ti sebagai wakil dari material berbasis logam dan ZnO serta TiO2 mewakili material berbasis senyawa oksida. Telah dipelajari kapasitas panas material campuran antara logam-logam, oksida-oksida dan logam-oksida. Kajian diawali dengan validasi metode pengukuran dan komputasi dalam penentuan kapasitas panas dengan mengukur senyawa Al2O3 yang telah diketahui nilai kapasitas panasnya. Dari kajian ini dapat disimpulkan bahwa kapasitas panas material campuran mengikuti secara baik rule of mixture sebagai berikut: Cpmix (T) = ΣXi Cpi (T) dimana Xi adalah fraksi mol dari komponen campuran dan Cpi adalah kapasitas panas komponen campuran. Hadirnya fasa oksida pada campuran berbasis logam memerlukan panas berlebih dalam proses pemanasan material.

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Heat capacity at pressure constant as function of temperature for mixture material with different composition has been determined by DSC (Differential Scanning Calorimetry). The mixture materials are divided between Fe and Ti representing metal system and ZnO, Al2O3, TiO2 for an oxide system. Heat capacity mixture materials between metals-metals system, oxides-oxides system and metals-oxides system, prior to determined by validation method and computational method, were confirmed from measurement heat capacity Al2O3, in which Cp(T) value can be found in the literature else where. Heat capacity of mixture materials follows the rule of mixture equation such as : Cpmix (T) = ΣXi Cpi (T) where Xi is a mole fraction of component for the materials and Cpi(T) is heat capacity for respective component for materials. The present of oxides phase in metal base materials require excessive heat during heating material process."

"Pengembangan model matematika telah dilakukan untuk memprediksi temperatur selama proses canai panas jenis satu tingkat dari suatu pelat baja karbon rendah, dengan menggunakan model thermal yang ada dan data-data eksperimen di laboratorium. Perhatian utama ditujukan untuk memprediksi model temperatur masuk dan keluar rol dengan mengasumsikan temperatur keluar. Hal-hal yang mempengaruhinya adalah perpindahan panas secara radiasi dan konveksi dari permukaan ketika material dibawa dari dapur ke rol, dan perpindahan panas secara konduksi dari material ke rol, serta kenaikan temperatur akibat kerja mekanis ketika material sedang dicanai. Hasil dari model tersebut dapat digunakan sebagai dasar untuk mengevaluasi temperatur material yang akan dicanai di Iaborastorium tersebut dan dasar untuk pemodelan beban pengerolan dan mikrostruktur. Langkah-langkah untuk memprediksi model temperatur masuk tersebut dapat digunakan sebagai dasar atau pembanding bagi pabrik canai panas untuk mengevaluasi temperatur material.

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A mathematical model has been developed to predict the thermal during a single pass hot rolling of a low carbon steel plate, by using thermal model and data from laboratory experiments. Particular attention was paid to prediction the entry and exit temperature model by assuming the exit temperature. The effects taken into account are radiation and convection from the surface when the material has been reheated until rolled, and conduction to the rolls and the temperature increase due to mechanical work when the material is in the roll gap. The result of the temperature model can be used for the material temperature evaluation at the laboratory and a basis to predict the rolling force and microstructure evaluation.. The steps of the prediction can be used as a comparison for plants mills to predict their material temperature."

"Potongan suatu isotermal dari sistem Besi-Nikel-Sulfur pada temperatur 1173 K telah ditentukan secara eksperimental diseluruh rentangan komposisi. Serbuk murni dari besi dan nikel sebagai material utama direduksi dengan gas hydrogen pads temperatur 1273 K, sebelum mereka dicampur dengan sulfur dengan jumlah yang telah ditentukan sebelumnya dan kemudian ditutup dalam kapsul quartz dalam keadaan vakum. Kapsul quartz tersebut dipanaskan pada temperatur 1173 K dan kemudian di celupkan dengan cepat (quenching) ke dalam air es. Sampel-sampel tersebut dipelajari secara metalografi dan analisa secara kuantitatif dengan elektronmikro probe. Dari hasil analisa tersebut dikorelasikan dengan data-data yang ada dalam literatur baik dari binary maupun ternary dari sistem Besi-Nikel-Sulfur dan dievaluasi secara termodinamik."

"Makalah ini menampilkan analisa matematik pada bentuk semi tak hingga yang dibangkitkan temperatur osilasi dengan mengunakan modifikasi hukum Fourier tentang konduksi kalor atau lebih dikenal dengan persamaan konduksi kalor hyperbolik sebagai dasar perhitungan untuk menentukan termal difusivitas, waktu termal relaksasi dan termal konduktivitas secara simultan. Pada persamaan konduksi kalor hyperbolik atau juga bisa disebut persamaan tidak mengikuti Fourier mengasumsikan bahwa kecepatan rambat kalor di dalam medium adalah terbatas Solusi eksak dalam makalah ini dapat dijadikan dasar untuk merekayasa alat ukut baru yang dapat mengukur ketiga parameter tersebut.

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The presented paper is mathematical analysis on the semi-infinite body by applying hyperbolic heat conduction equation as a basic calculation to determine thermal diffusivity, thermal relaxation time and thermal conductivity. Hyperbolic heat conduction equation is called also as non Fourier equation, where in this equation is assumed that the heat propagation velocity is finite. Exact solution in this paper can be considered as a basic design for new experimental apparatus."