• Korean Chemical Engineering Research
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• v.50 no.6
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• pp.1086-1092
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• 2012

In this study, kinetic studies and analysis of the produced syngas were conducted for low rank coal gasification under $CO_2$ atmosphere. 6 coals were analyzed to measure amount of sulfur and ash by proximate and ultimate analyses. And then they were analyzed to select suitable sample by using Thermogravimetric analyzer (TGA). Selected coal sample Samhwa was mixed with catalysts. Mixed samples with catalysts were used to get activation energy under $CO_2$ atmosphere by using Kissinger's method and shrinking core model (SCM). Also, analysis of produced syngas was performed by Gas Chromatography (GC). In this experiment, activation of the $K_2CO_3$ was the best performance, and result of the analysis of the syngas showed similar trend with result of the activation energy.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.11 no.5
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• pp.60-67
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• 2012

In the study, the effect grinding condition on the workpiece arithmetical average roughness(Ra) to 10 steps leading to cutting each section with the spindle rotational speed 8000rpm and feed rate 150mm/min of grinding in GC(green silicon carbide) grinding processing after heat treatment and non heat treatment of SCM415 material. Also the following conclusions were obtained analysis of stress distribution displacement and finite elements method(FEM) on assemble parts with 3+2 axis simultaneous control through grinding and gave a load 11kg on ATC arm both sides gave a load of 11kg. For the centerline average roughness(Ra) in the heat and non-heat treatment work pieces, which were appeared the most favorable in the fifth section were $0.511{\mu}m$ and $0.514{\mu}m$, that were shown in the near the straight line section was the smallest deformation of curve. In addition, the bad surface roughness appeared on the path is too long by changing angle, the more inclined depth of cut, because the chip discharging is not smoothly.

• The KIPS Transactions:PartD
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• v.18D no.5
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• pp.371-384
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• 2011

This paper considers logistics decision support system which deals with transportation mode selection considering transportation and carbon emission cost. Transportation and carbon emission costs vary with the choice of transportation modes and to become competitive companies need to find proper transportation modes for their logistics services. However, due to the restricted capacity of transportation modes, it is difficult to balance transportation and carbon emission costs when designing logistics network including transportation mode choice for each service. Therefore this paper aims to analyze the trade-off relationship between transportation and carbon emission cost in mode selection of intermodal transportation and to provide optimal green logistics strategy. In this paper, the logistics decision support system is designed based on mixed integer programming model. To understand the trade-off relationship of transportation and carbon emission cost, the system is tested with various scenarios including transportation of containers between Seoul and Busan. The analysis results show that, even though sea transportation combined with trucking is competitive in carbon emission per unit distance travelled, the total cost of carbon emission and transportation for the sea transportation may not have competitive advantage over other transportation modes including rail and truck transportation modes. The sea-based intermodal logistics service may induce detours which have negative impacts on the overall carbon emission. The proposed logistics decision support system is expected to play key role in green logistics and supply chain management.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.8
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• pp.1118-1124
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• 2001

Fifteen lactating crossbred cows were randomly allotted to three groups of 5 each, and fed three isoproteinous concentrate mixture varying in RDP and UDP ratios, viz. 71: 29 (T1) and 58: 42 (T2) and 44: 56 (T3), along with green maize and wheat straw given as 2/3 and 1/3 of total roughage respectively, for a period of 120 days. The DM intake (kg/d) differed significantly (p<0.01) among the treatments as well as among the fortnights over a period of 120 days. DMI (kg/d) progressively increased from first to eighth fortnight in all the treatments. The daily DMI (% BW) was significantly (p<0.01) lower in T1 (2.37) than those of T2 (2.82) and T3 (2.67). The body weights of cows decreased up to 4th fortnight in T1 and up to 3rd fortnight in T2 and T3, then it showed an increasing trend till the end of the experiment in all the treatments. Cows in T1 lost 10 kg body weight but cows in T2 and T3 gained 23 and 12 kg the body weight, respectively. Both the milk and FCM yield differed significantly (p<0.01) among the fortnights. The FCM yield increased up to 2nd fortnight in all the treatments and thereafter, the FCM yield declined gradually as the lactation advanced. The FCM yield (kg/d) was significantly (p<0.05) higher in T3 (10.47) than in T2 (9.81) and T1 (9.68), however, milk yield, SCM yield and milk energy yield did not differ among the treatments as well as among the fortnights. Fat and protein % in milk increased as the lactation advanced. However, fortnightly SNF % in milk showed an irregular trend. The % fat, protein, SNF and total solids in milk differed significantly (p<0.01) among the fortnights. The % fat and protein in milk varied significantly (p<0.01) among the treatments, being lowest in T1 and highest in T3. The feed efficiency for milk production showed a non-significant variation among the treatments as well as among the fortnights, but increased with the increase in UDP level. It is concluded that by increasing the UDP level from 29 to 56 per cent of CP in the diet of medium producing cows, the milk production increases and cost of milk production reduces.