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RISS 인기검색어
- 검색키워드
- 저자 : ( Dougheon Lee ) (검색결과 2 건)
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Analysis of Blade Oblique Angles Effect on Cutting Properties of Corn Stalks
( Frank Gyan Okyere ),( Jayanta Kumar Basak ),( Anil Bhujel ),( Fawad Khan ),( Dougheon Lee ),( Junbeon Cho ),( Hyeon Tae Kim ) 한국농업기계학회 2019 한국농업기계학회 학술발표논문집 Vol.24 No.2
Biomass is produced by green plants that converts sunlight into plant materials through phot osysnthesis and it includes land- and - water based vegetation as well as all organic waste. C orn stover is a good source of biomass for feedstock, bioproducts. On a large scale, commerci al large square or round balers for harvesting corn stalks which are made of the cut and pick up, pre- compression chamber, and bale chamber. The cut and pick up system is critical in d etermining the size cut, the length of stalk in soil after cut and eventually the volume of bale produced. Hence knowledge of cutting blades size, its geometric design and other features re lative to the cutting material is required. The aim of this research is to analyze the effect of bl ade oblique angles on the cutting properties of corn stalks of various moisture content and siz es using a prototype cutting system of a baler machine. Three oblique angle cutting blades- 30 o,45o and 60o, three rotor speeds (1100rpm, 1750rpm and 2230rpm) and three ground speeds (2.5km/h, 5.0km/h and 7.5km/h) were used as the machine variable access its impact on the l ength of cut and length in soil using four different sets of corn stalk moisture content -70.05 ± 2.42%, 48.12± 1.19%, 28.14 ± 2.02% and 18.14 ± 2.22%. Also the effect of the oblique angl es and corn stalk physical properties (size) relative to their mechanical cutting properties (spec ific energy, peak load etc) were also analyzed. The optimum oblique angle of choppers requir ement to achieve a low length of cut, cut in soil, energy requirement et al was 45o followed by 60o. The ultimate shear strength was insignificantly affected by change in oblique angle, siz e and moisture content of corn stalk.
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( Jayanta Kumar Basak ),( Elanchezhian Arulmozhi ),( Fawad Khan ),( Frank Gyan Okyere ),( Jihoon Park ),( Dougheon Lee ),( Hyeon Tae Kim ) 한국농업기계학회 2019 한국농업기계학회 학술발표논문집 Vol.24 No.2
The experiment was conducted to find out the most influential factors affecting pig’s body temperature (PBT). For this purpose, eight environmental parameters and three growth related factors were considered as variables. Two independent experiments were carried out over a period of 92 days in 2017 and 2018. Environmental parameters inside and outside the pig’s barn were recorded using livestock environment management systems (LEMS) and weather sensors, respectively. Infrared sensors were used for measuring PBT. Among these factors, seven environmental parameters, including temperature, CO2, temperature-humidity index inside and outside the pig’s barn and relative humidity inside the barn were taken as input variables for artificial neural networks (ANN) and multiple linear regression (MLR) models due to their good correlation (r≥0.5) with PBT. The performance of the models in predicting pig’s body temperature was determined using statistical quality parameters, including coefficient of determination (R2), root mean square error (RMSE) and mean absolute error (MAE). Result of the study showed that temperature-humidity index is the most and relative humidity inside the room is the least in fluential factors affecting PBT in MLR/ANN models.
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