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과일의 당도향상을 위한 필름 설치 및 수거 장치에 관한 연구
우지희 ( Ji-hee Woo ),키프디마스하리스신 ( Keffe Dimas Harris Sean ),이은숙 ( En-suk Lee ),차찬열 ( Can-yeol Cha ),김영규 ( Yeong-kyu Kim ),최원식 ( Won-sik Choi ) 한국농업기계학회 2017 한국농업기계학회 학술발표논문집 Vol.22 No.2
과일은 햇볕을 많이 받아야 굵고 맛있게 익는데, 과수마다 통풍이 잘되고 햇볕이 잘 들게 하기 위하여 전정을 하고 나뭇가지를 유도도 하지만 이런 방법으로 수관하부까지 햇볕이 잘 들게 하기에는 한계가 있고 아랫부분에 달려 있는 과일도 품질을 높이기 위하여 땅바닥에 반사필름을 깔아 반사하는 햇볕을 받도록 하고 있다. 현재기술에 반사필름의 설치작업이 어렵고, 엄청난 노동력과 많은 인건비가 발생하고 있으며, 매년 반복되는 설치와 제거에 악순환이 계속 있다. 또한 반사필름이 제 역할을 하지 못하여, 환경오염의 주범이 되고 있다. 따라서 본 연구에서는 과수나무 밑에 깔아서 햇볕을 거의 받지 못하는 수관하부에 달린 과일에 햇볕을 역광(반사)시켜 과일이 골고루 자랄 수 있도록 하는 반사필름을 자동으로 깔고 깔았던 필름을 다시 회수하는 자동설치 회수기에 관한 것으로서, 몸체(Body)에 앞뒤 구동바퀴가 구비되고 앞바퀴에는 조향장치, 뒷바퀴에는 구동 및 제동장치가 구비되며 거치대에 걸려있는 반사필름은 기계가 전진하면 자동으로 노지(땅)에 깔리고, 바람이나 외력에 의해서 날아가지 않도록 눌러주면서 고정펙(peg)으로 고정된다. 또한, 땅에 깔려있는 반사필름을 다음 영농작업을 위하여 원래대로 감아 놨다가 이듬해 다시 사용할 수 있도록 권취하는데 필요한 동력과 반사필름을 권취 할 지관거치대, 회수되는 반사필름에 묻어있는 오물을 제거하고 구겨진 필름을 팽팽하게 펴주는 나사환봉을 포함하는 것을 특징으로 한다.
Vibration Analysis of 300 mesh Soy Bean Crusher Based on Finite Element Method
프라타마 판두 산디,수페노 데스티아니,변재영,우지희,이은숙,남미경,황현지,키프 디마스 하리스 신,이강삼,최원식 한국산업융합학회 2017 한국산업융합학회 논문집 Vol.20 No.5
A machine such as bean crusher machine is subjected to different loads and vibration. Due to this vibration there will be certain deformations which affect the performance of the machine in adverse manner. This paper proposed a vibration analysis of bean crusher machine using ANSYS. The Finite Element Method (FEM) analysis is carried out to study the effect of vibration on the structure in order to ensure the safety. This work helps the machine developer make a better product at the early design stage with lower cost and faster development time. To do this, firstly, using Inventor, a CAD model is prepared. Secondly, the analysis is to be carried out using ANSYS 15. The modal analysis and random vibration analysis of the structure was conducted. The analysis shows that the proposed design was successfully shows the minimum deformation when the vibration was applied in normal condition.
최원식,프라타마 판두 산디,수페노 데스티아니,변재영,이은숙,우지희,양지웅,키프 디마스 하리스 신,크리스타 마이난다 브리기타,오케추쿠 나에메카 니콜라스,이강삼,Choi, Wonsik,Pratama, Pandu Sandi,Supeno, Destiani,Byun, Jaeyoung,Lee, Ensuk,Woo, Jihee,Yang, Jiung,Keefe, Dimas The Korean Society of Industry Convergence 2018 한국산업융합학회 논문집 Vol.21 No.5
In this research, the effect of normal load, sliding velocity, and texture density on thefriction coefficient of surfaces micro-textured on AISI 4140 under paraffin oil lubrication were investigated. The predicted tribological behavior by numerical calculation can be serves as guidance for the designer during the machine development stage. Therefore, in this research friction coefficient prediction model based on response surface methodology (RSM), support vector machine (SVM), and artificial neural network (ANN) were developed. The experimental result shows that the variation of load, speed and texture density were influence the friction coefficient. The RSM, ANN and SVM model was successfully developed based on the experimental data. The ANN model can effectively predict the tribological characteristics of micro-textured AISI 4140 in paraffin oil lubrication condition compare to RSM and SVM.
Wonsik Choi(최원식),Pandu Sandi Pratama(프라타마 판두 산디),Destiani Supeno(수페노 데스티아니),Jaeyoung Byun(변재영),Ensuk Lee(이은숙),Jiung Yang(양지웅),Dimas Harris Sean Keefe(키프 디마스 하리스 신),Yeonho Jeon(전연호),Sungwon Chung(정성원) 한국산업융합학회 2018 한국산업융합학회 논문집 Vol.21 No.5
In this research, tricycle vehicle simulation based on multi-body environment has been introduced. Mathematical model of tricycle vehicle was developed. In this research the left and right wheel speed are calculated based on the rear steering angle and velocity. The kinematic model for the three - wheel drive system was completed and the results were analyzed using the actual vehicle drawings. Through simulink vehicle performance on linear and rotation movement were simulated. Using the mathematical model the control system can be applied directly to the tricycle vehicle. The simulation result shows that the proposed vehicle model is successfully represent the movement characteristics of the real vehicle. This model assists the vehicle developer to create the controller and understand the vehicle during the development process.
Wonsik Choi(최원식),Pandu Sandi Pratama(프라타마 판두 산디),Destiani Supeno(수페노 데스티아니),Jaeyoung Byun(변재영),Ensuk Lee(이은숙),Jihee Woo(우지희),Jiung Yang(양지웅),Dimas Harris Sean Keefe(키프 디마스 하리스 신),Maynanda Brigita Chry 한국산업융합학회 2018 한국산업융합학회 논문집 Vol.21 No.5
In this research, the effect of normal load, sliding velocity, and texture density on thefriction coefficient of surfaces micro-textured on AISI 4140 under paraffin oil lubrication were investigated. The predicted tribological behavior by numerical calculation can be serves as guidance for the designer during the machine development stage. Therefore, in this research friction coefficient prediction model based on response surface methodology (RSM), support vector machine (SVM), and artificial neural network (ANN) were developed. The experimental result shows that the variation of load, speed and texture density were influence the friction coefficient. The RSM, ANN and SVM model was successfully developed based on the experimental data. The ANN model can effectively predict the tribological characteristics of micro-textured AISI 4140 in paraffin oil lubrication condition compare to RSM and SVM.