4 research outputs found
āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļēāļāđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđāđāļāļĢāļ·āđāļāļāļŠāļĩāļāđāļēāļ§āļāļāļēāļāđāļĨāđāļāļĢāļ°āļāļąāļāļāļļāļĄāļāļEconomic Analysis of Community Level Small Rice Mill
āļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļāļāļāļēāļāļ§āļīāļāļąāļĒāļāļĩāđāļāļ·āļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļēāļāļēāļāđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđāļāļāļāđāļāļĢāļ·āđāļāļāļŠāļĩāļāđāļēāļ§āļāļāļēāļāđāļĨāđāļāļāļĩāđāļāļāļ°āļāļđāđāļ§āļīāļāļąāļĒāđāļāđāļāļąāļāļāļēāļāļķāđāļāđāļāļĒāđāļāļĢāļ·āđāļāļāļŠāļĩāļāđāļēāļ§āļāļĩāđāļāļąāļāļāļēāļāļķāđāļāļĄāļĩāļŦāļĨāļąāļāļāļēāļĢāļāļģāļāļēāļ āļāļ·āļ āļāļēāļĢāļāļģāļāļ§āļēāļĄāļŠāļ°āļāļēāļ āļāļēāļĢāļŠāļĩ āļāļēāļĢāļāļąāļāļāļēāļ§ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļāļēāļ āļāļĨāļāļāļāļāļŠāļēāļĄāļēāļĢāļāļŠāļĩāļāđāļēāļ§āđāļāļĨāļ·āļāļāđāļŦāđāđāļāđāļāļāđāļēāļ§āļāļĨāđāļāļ āļāđāļēāļ§āļāđāļāļĄāļĄāļ·āļ āđāļĨāļ°āļāđāļēāļ§āļāļēāļ§āđāļāđāļāļēāļĄāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļāļđāđāļāļĢāļīāđāļ āļ āļāļēāļāļāļēāļĢāļāļāļŠāļāļāđāļāļĢāļ·āđāļāļāļŠāļĩāļāđāļēāļ§ āļŠāļĩāļāđāļēāļ§āđāļāļĨāļ·āļāļāļāļąāļāļāļļāđāļāļēāļ§āļāļāļāļĄāļ°āļĨāļī 105 āļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāļ·āđāļāđāļĄāđāđāļāļīāļ 14% āļāļāļ§āđāļēāđāļāļĢāļ·āđāļāļāļŠāļĩāļāđāļēāļ§āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļŠāļĩāļāđāļēāļ§āđāļāļĨāļ·āļāļāđāļāđāļēāļāļąāļ 100 āļāļīāđāļĨāļāļĢāļąāļĄāļāđāļāļāļąāđāļ§āđāļĄāļ āļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļĢāļŠāļĩāļāđāļēāļ§āđāļāđāļēāļāļąāļ 66% āđāļĨāļ°āļāļĢāļ°āļŠāļīāļāļāļīāļāļĨāļāļēāļĢāļŠāļĩāļāđāļēāļ§āđāļāđāļēāļāļąāļ 42% āļŠāļģāļŦāļĢāļąāļāļāļēāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāđāļēāļāđāļāļāļļāļāļāļāļāļĩāđ āđāļĨāļ°āļāđāļēāļāđāļāļāļļāļāđāļāļĢāļāļąāļāļāļāļāļāļēāļĢāđāļāđāļāļēāļāđāļāļĢāļ·āđāļāļāļŠāļĩāļāđāļēāļ§ āđāļāļāļĢāļāļĩāļāļĩāđāļāļēāļĒāļāļĨāļāļĨāļīāļāļāļēāļāļāļēāļĢāļŠāļĩāļāđāļēāļ§āđāļāđāļāļąāđāļāļŦāļĄāļ āļāļĨāļāļĩāđāđāļāđāđāļŠāļāļāđāļŦāđāđāļŦāđāļāļ§āđāļēāļāļļāļāļāļļāđāļĄāļāļļāļāđāļāļāļēāļĢāļŠāļĩāļāđāļēāļ§āļāļĨāđāļāļāđāļĨāļ°āļāļēāļĢāļŠāļĩāļāđāļēāļ§āļāļēāļ§āđāļāđāļēāļāļąāļ 1,103.76 āđāļĨāļ° 6,259.08 āļāļīāđāļĨāļāļĢāļąāļĄāļāđāļēāļ§āđāļāļĨāļ·āļāļāļāđāļāļāļĩ āļāļēāļĄāļĨāļģāļāļąāļ āđāļĨāļ°āļĢāļ°āļĒāļ°āđāļ§āļĨāļēāđāļāļāļēāļĢāļāļ·āļāļāļļāļāļāļāļāđāļāļĢāļ·āđāļāļāļŠāļĩāļāđāļēāļ§ āđāļāļāļĢāļāļĩāļŠāļĩāļāđāļēāļ§āļāļĨāđāļāļāļāļģāļŦāļāđāļēāļĒ āđāļĨāļ°āļŠāļĩāļāđāļēāļ§āļāļēāļ§āļāļģāļŦāļāđāļēāļĒāļĄāļĩāļāđāļēāđāļāđāļēāļāļąāļ 262.56 āđāļĨāļ° 1,537 āļāļąāđāļ§āđāļĄāļ āļāļēāļĄāļĨāļģāļāļąāļThe objective of present project is focused on analyzing economic of the developed rice mill. The components of developed rice mill mainly consisted of cleaning system, husking system polishing system and sorting system. The machine is able to mill paddy to brown rice, semi-milled rice, and white rice depending on the needs of consumers freely. From result of testing the machine by milling Khao Dawk Mali 105 paddy which has its moisture content not more than 14%, it was found that a capacity of a developed machine is equal to 100 kg of paddy per hour, a rice milling performance of the machine is about 66%, and rice milling effectiveness of the machine is 42%. For economic analysis of rice mill developed, consideration of fixed cost and variable cost in using the machine was, in case of selling all products from rice milling process to customers completely, reported that Break-even Point of the machine in milling brown rice and white rice were 1,103.76 and 6,259.08 kilogram of paddy/year, respectively, and Payback Period of the machine in selling brown rice and white rice to buyers were equal to 262.56 and 1,537 hours, respectively
The Optimum Design Parameters in Terms of Total Specific Energy Requirements for the Rotary Blade Power Tiller under Unsaturated Sandy Clay Loam Soil Condition
ABSTRACT A mathematical modeling approach was applied to predict optimum design parameters in terms of the total specific energy requirements of a "Pick", a "C", an "I", an "L" and a "J"-shaped rotary blades. The modified total specific energy requirement model mainly has been includeds, the forward speed of the machine, the rotational speed, the depth of soil cut, the width of soil cut, the rotor radius, the angle of periphery, the angle of rotation, the specific soil resistance, the dry soil bulk density and volume of soil tilled. At the same working conditions the total specific energy requirement was predicted to be 231. 61, 160.72, 196.87, 168.56 and 167.56 kJ / m 3 for the "Pick", the "C", the "I", the "L" and the "J"-shaped rotary blades, respectively. The highest specific energy requirement was exhibited by the "Pick"-shaped and the lowest by the "C"-shaped blade. The higher total specific energy requirement the lower volume of soil tilled and the most effective and optimum soil tillage operational cost is achieved. Compared to another study at the same soil condition the specific energy requirement per volume of soil tilled by the "Pick"-shaped blade was exhibited 1900 kJ / m 3 which was higher by 87.81 % than the "Pick"-shaped blade in the present study. Therefore, the model suggests rotary tiller development under local conditions