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밭농업용 소형 전동운반차의 구동부의 감속기 내구성 향상
박춘숙 ( Cunsook Park ),프라타마판두산디 ( Pandu Sandi Pratama ),수페노데스티아니 ( Destiani Supeno ),정성원 ( Seongwon Jeong ),디마스하리스새얀키피 ( Dimas Haris Sean Keefe ),우지희 ( Jihee Woo ),이은숙 ( Eunsook Lee ),윤우진 ( Woojin Yoon 한국농업기계학회 2017 한국농업기계학회 학술발표논문집 Vol.22 No.1
국내에서 사용되는 밭농업용 전동차는 산업용 DC MOTOR를 사용하고 있는 실정이다 왜냐하면 농업용DC MOTOR는 그 수요가 미미해서 개발상품이 거의 없는 실정이다. 산업용DC MOTOR는 고정된 장치에 부착이 되어 있어 사용상에 별 문제가 없지만 밭농업용 전동차는 비포장 도로에 사용되고 있어 충격이나 과부하에 견디지 못하여 운행도중 심한충격이나 하중 또는 진동에 반복하중에 견디지 못하여 파괴되거나 소음등이 많이 나는경우가 많다. 따라서 본 연구에서는 이를 개선하기 위해 감속기의 재질을 분석하고 마찰 마멸이 일어나는 부분의 재질변경과 표면열처리 등을 통하여 내구성을 증대에 대한연구를 실행 하였다.
Design Optimization of DC Motor Gearbox for Electric Agricultural Vehicle Based on Genetic Algorithm
( Pandu Sandi Pratama ),( Destiani Supeno ),( Cunsook Park ),( Jihee Woo ),( Eunsuk Lee ),( Wonsik Choi ) 한국농업기계학회 2017 한국농업기계학회 학술발표논문집 Vol.22 No.2
In electric agricultural machine the gearbox is used to increase torque and lower the output speed of the motor shaft. The gearbox consist of several shafts, helical gears and spur gears works in series. Optimization plays an important role in gear design as reducing the weight or volume of a gear set will increase its service life and improve the bearing capacity. In this paper the basic design parameters for gear like shaft diameter and face width are considered as the input variables. The bending stress and material volume is considered as the objective function. ANSYS was used to investigates the bending stress when the variable was changed. Artificial Neural Network (ANN) is used to obtained the mathematical model of the system based on the bending stress behaviour. The ANN was used since the output system is nonlinear. The Genetic Algorithm (GA) technique of optimization is used to obtain the optimized values of shaft diameter and face width on the pinion based on the ANN mathematical model and the results are compared as that obtained using the traditional method. The ANN and GA was perform using MATLAB. The simulation results was shown that the proposed algorithm was successfully calculate the value of shaft diameter and face width to obtain the minimal bending stress and material volume of the gearbox.
Modal and Stress Analysis of Spur Gear in DC Motor Gearhead using Finite Element Model
( Pandu Sandi Pratama ),( Destiani Supeno ),( Seongwon Jeong ),( Cunsook Park ),( Jihee Woo ),( Eunsook Lee ),( Woojin Yoon ),( Wonsik Choi ) 한국농업기계학회 2017 한국농업기계학회 학술발표논문집 Vol.22 No.1
In electric agricultural machine the gearhead is needed to convert the high speed low torque rotation motion generated by DC motor to lower speed high torque motion used by the vehicle. The gearhead consist of several spur gears works as reduction gears. Spur gear have straight tooth and are parallel to the axis of the wheel. Spur gears are the most easily visualized gears that transmit motion between two parallel shafts and easy to produce. The modeling and simulation of spur gears in DC motor gearhead is important to predict the actual motion behavior. A pair of spur gear tooth in action is generally subjected to two types of cyclic stress: contact stress and bending stress including bending fatigue. The stress may not attain their maximum values at the same point of contact fatigue. These types of failure can be minimized by analysis of the problem during the design stage and creating proper tooth surface profile with proper manufacturing methods. To improve its life expectation in this study modal and stress analysis of gearhead is simulated using ansys work bench software based on finite element method (FEM). The modal analysis was done to understand gearhead deformation behaviour when vibration occurs. FEM static stress analysis is also simulated on gearhead to simulate the gear teeth bending stress and contact stress behavior. This methodology serves as an approach for gearhead design evaluation, and the study of gear stress behavior in DC motor gearhead which is needed in the small workshop scale industries.