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The Analysis of Frame Structure in Farm Vehicle
Pandu Sandi Pratama(프라타마 판두 산디),Destiani Supeno(수페노 데스티아니),Ji-Hee Woo(우지희),Eun-Sook Lee(이은숙),Cun-Sook Park(박춘숙),Woo-Jin Yoon(윤우진),Sung-Won Chung(정성원),Won-Sik Choi(최원식) 한국산업융합학회 2017 한국산업융합학회 논문집 Vol.20 No.1
An agriculture machines are subjected to different loads conditions. Due to this loads variations there will be certain deformations and stress which affect the performance of the electric vehicle in adverse manner. The purpose of this paper is to analyze the total deformation and stress of the electric farm vehicle middle frame based on the finite element method. The proposed electric farm vehicle has lifting and dumping capability. Therefore, in this research four operational condition such as normal condition, dumping condition, lifting condition, and lifting-dumping condition was analyzed. In this research, the design for whole frame structure is elaborated. According to the mechanical characteristics of the frame, materials are selected and manufacturability requirements are limited. Based on ANSYS 15 software, the finite element model of electric farm vehicle is established to carry out static analysis on full-loaded conditions. The simulation results shows that the proposed design meet the strength requirements and displacement requirements. The maximum deformation 0.53611 mm and maximum stress 30.163 MPa occurred at lifting-dumping 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.
Sung Won Chung(정성원),Destiani Supeno(데스티아니 수페노),Pandu Sandi Pratama(판두 산디 프라타마),Won Sik Choi(최원식) 한국산업융합학회 2016 한국산업융합학회 논문집 Vol.19 No.4
This paper investigates the possibility to increase the economic value of the thinned young apple trough fermentation process. It is studies the optimal fermentation condition of thinned young apple by manipulating preparation treatment and sugar content. To do this following steps are done. Firstly, different preparation treatment for thinned young apple such as whole apple, cutting apple, and blending apple were done. The different sugar content such as 24° Brix, 15° Brix and 4° Brix was added. Secondly, the sugar contents and pH level were measured during fermentation process. Finally, statistical analysis was used to examine the relation between the preparation treatment, sugar content and pH level during the fermentation process. The experimental result shows that the different preparation treatment influences to the fermentation process. The blending apple treatment gave lower pH level compared to other kind treatments. The sugar content of thinned young apple was decrease during the fermentation process. The statistical analysis shows that the manipulation preparation treatment and sugar content affect the final pH level and whole fermentation process. Experimental result shows that the thinned young apple fermentation could be proposed as new alternative product in the market. The best fermentation process was obtained from blending thinned young apple treatment with 24° Brix.