STUDY OF PRODUCT COOLING RATE PERFORMANCE IN A PHARMACEUTICAL INDUSTRY COLD STORAGE
In an effort to improve the competitiveness of products in the pharmaceutical industry needs to be done efficiently so that the resulting product has a lower price with the same quality. Therefore, improvement should be done that can make the production process more efficient while maintaining the p...
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id-itb.:208292017-09-27T14:51:06ZSTUDY OF PRODUCT COOLING RATE PERFORMANCE IN A PHARMACEUTICAL INDUSTRY COLD STORAGE SULARNO - (23315003), AGUS Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/20829 In an effort to improve the competitiveness of products in the pharmaceutical industry needs to be done efficiently so that the resulting product has a lower price with the same quality. Therefore, improvement should be done that can make the production process more efficient while maintaining the product quality standard. One of the production processes that play an important role in the pharmaceutical industry is the process of storing products at low temperatures using cold storage. Each product must be kept at an appropriate temperature in order to maintain its quality. Cold storage as a storage must have temperature uniformity so that each product will be exposed at the appropriate temperature. Cold storage uses a refrigeration system to achieve the specified temperature. Due to the use of refrigeration system, electrical energy consumption required is very high. It is expected to improve the efficiency of cold storage by improving cold storage performance. Performance of cold storage includes uniformity of temperature distribution and cooling rate. <br /> <br /> <br /> This study reports on the investigation of temperature distribution and cooling perforrmance which is one of the important parameters of cold storage performance in one of the Pharmaceutical Industry. Cold storage used is a type of ceiling type evaporator filled by a number of bottles of products. The temperature distribution and cooling rate were examined using two methods, the experimental method and the numerical simulation method. Numerical studies were conducted by developing a three-dimensional transient bottle model. Model made using Ansys Fluent software. The simulation is performed to see the performance of the cooling rate and the distribution of the temperature in the bottle. Results from numerical simulations will be compared with the results of the experiment. The experimental method was carried out to measure the distribution of temperature in bottles and temperature distribution in cold storage. Temperature distribution in cold storage is done by configuring the number, arrangement of the bottle and the location of the shelf to determine its effect on the temperature distribution. In this study there are 2 variations of the location of the rack and 2 variations of the location of the bottle. While the number of bottles varied as many as 24 units and 36 pieces in accordance with cold storage capacity. Temperature distribution was observed at 5 oC cold storage temperature in the contents condition or empty. <br /> <br /> <br /> Measurements are made by installing temperature sensors on the surface of the bottle in several bottle locations. <br /> <br /> <br /> The result on the 24 of bottles shows that the rack layout parallel to the direction of air fan flow and the V-shape arrangement of bottles results better cooling rate than the other arrangement. It takes 1140 minutes to achieve stable temperature at set point. In addition, in this configuration the optimum temperature distribution is obtained with the difference between maximum temperature and minimum temperature of 0.89 oC. In the variation of 36 of bottles indicates that the location of the rack parallel to the air fan flow results in a better cooling rate than the other arrangement. It takes 1490 minutes to achieve stable temperature at set point and the difference between maximum temperature and minimum temperature of 0,3 oC. For the measurement of the distribution of temperature in the bottle, the mean deviation value between the simulation and the experiment on the measurement of 2 coordinate points (X = 0.1 m, Y = 0.3 m, Z = 0 and X = -0.1 m, Y = 0 , 3 m, Z = 0) were 5.8 % and 7.8 % while in steady state were 1.9 % and 4.8 % with average temperature difference between simulation and experiment of 0,51 oC and 0 ,71 oC <br /> text |
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In an effort to improve the competitiveness of products in the pharmaceutical industry needs to be done efficiently so that the resulting product has a lower price with the same quality. Therefore, improvement should be done that can make the production process more efficient while maintaining the product quality standard. One of the production processes that play an important role in the pharmaceutical industry is the process of storing products at low temperatures using cold storage. Each product must be kept at an appropriate temperature in order to maintain its quality. Cold storage as a storage must have temperature uniformity so that each product will be exposed at the appropriate temperature. Cold storage uses a refrigeration system to achieve the specified temperature. Due to the use of refrigeration system, electrical energy consumption required is very high. It is expected to improve the efficiency of cold storage by improving cold storage performance. Performance of cold storage includes uniformity of temperature distribution and cooling rate. <br />
<br />
<br />
This study reports on the investigation of temperature distribution and cooling perforrmance which is one of the important parameters of cold storage performance in one of the Pharmaceutical Industry. Cold storage used is a type of ceiling type evaporator filled by a number of bottles of products. The temperature distribution and cooling rate were examined using two methods, the experimental method and the numerical simulation method. Numerical studies were conducted by developing a three-dimensional transient bottle model. Model made using Ansys Fluent software. The simulation is performed to see the performance of the cooling rate and the distribution of the temperature in the bottle. Results from numerical simulations will be compared with the results of the experiment. The experimental method was carried out to measure the distribution of temperature in bottles and temperature distribution in cold storage. Temperature distribution in cold storage is done by configuring the number, arrangement of the bottle and the location of the shelf to determine its effect on the temperature distribution. In this study there are 2 variations of the location of the rack and 2 variations of the location of the bottle. While the number of bottles varied as many as 24 units and 36 pieces in accordance with cold storage capacity. Temperature distribution was observed at 5 oC cold storage temperature in the contents condition or empty. <br />
<br />
<br />
Measurements are made by installing temperature sensors on the surface of the bottle in several bottle locations. <br />
<br />
<br />
The result on the 24 of bottles shows that the rack layout parallel to the direction of air fan flow and the V-shape arrangement of bottles results better cooling rate than the other arrangement. It takes 1140 minutes to achieve stable temperature at set point. In addition, in this configuration the optimum temperature distribution is obtained with the difference between maximum temperature and minimum temperature of 0.89 oC. In the variation of 36 of bottles indicates that the location of the rack parallel to the air fan flow results in a better cooling rate than the other arrangement. It takes 1490 minutes to achieve stable temperature at set point and the difference between maximum temperature and minimum temperature of 0,3 oC. For the measurement of the distribution of temperature in the bottle, the mean deviation value between the simulation and the experiment on the measurement of 2 coordinate points (X = 0.1 m, Y = 0.3 m, Z = 0 and X = -0.1 m, Y = 0 , 3 m, Z = 0) were 5.8 % and 7.8 % while in steady state were 1.9 % and 4.8 % with average temperature difference between simulation and experiment of 0,51 oC and 0 ,71 oC <br />
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format |
Theses |
author |
SULARNO - (23315003), AGUS |
spellingShingle |
SULARNO - (23315003), AGUS STUDY OF PRODUCT COOLING RATE PERFORMANCE IN A PHARMACEUTICAL INDUSTRY COLD STORAGE |
author_facet |
SULARNO - (23315003), AGUS |
author_sort |
SULARNO - (23315003), AGUS |
title |
STUDY OF PRODUCT COOLING RATE PERFORMANCE IN A PHARMACEUTICAL INDUSTRY COLD STORAGE |
title_short |
STUDY OF PRODUCT COOLING RATE PERFORMANCE IN A PHARMACEUTICAL INDUSTRY COLD STORAGE |
title_full |
STUDY OF PRODUCT COOLING RATE PERFORMANCE IN A PHARMACEUTICAL INDUSTRY COLD STORAGE |
title_fullStr |
STUDY OF PRODUCT COOLING RATE PERFORMANCE IN A PHARMACEUTICAL INDUSTRY COLD STORAGE |
title_full_unstemmed |
STUDY OF PRODUCT COOLING RATE PERFORMANCE IN A PHARMACEUTICAL INDUSTRY COLD STORAGE |
title_sort |
study of product cooling rate performance in a pharmaceutical industry cold storage |
url |
https://digilib.itb.ac.id/gdl/view/20829 |
_version_ |
1822019329428815872 |