The Experts below are selected from a list of 237 Experts worldwide ranked by ideXlab platform
Rossa, Bantar Melvina - One of the best experts on this subject based on the ideXlab platform.
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PERENCANAAN KEGIATAN PERAWATAN MENGGUNAKAN METODE RCM II PADA MUD PUMP INDUSTRI GULA
Jurusan Teknik Permesinan Kapal PPNS, 2018Co-Authors: Rossa, Bantar MelvinaAbstract:Mud pump berfungsi untuk memompa endapan lumpur dari mud tank menuju filter press. Kerusakanpada alat ini dapat mengakibatkan lumpur yang seharusnya dipompa menuju filter press justru menjaditercecer di area lingkungan kerja sekitar mud pump. Maka dari itu diperlukan aktivitas maintenance yangtepat agar perangkat dapat beroperasi secara optimal. Penentuan strategi pemeliharaan dalam penelitian inidilakukan dengan menggunakan metode Reliability Centred Maintenance II. Hasil analisa pada FMEA(Failure Mode and Effect Analysis) menunjukan bahwa terdapat 10 bentuk kegagalan (failure modes) yangmempunyai potensi penyebab terjadinya kegagalan fungsi (functional failure) pada mud pump. Hasilpenilaian risiko dengan Risk Priority Number (RPN) yang diberikan dalam FMEA menunjukkan komponendengan nilai RPN tertinggi yaitu mechanical seal dengan nilai RPN 216 dan Coupling Rod dengan nilaiRPN 192. Pada analisis RCM II Decision Worksheet didapatkan informasi mengenai kegiatan perawatanyang dilakukan adalah scheduled discard task pada komponen bearing, o-ring, mechanical seal, stator,Shaft sleeve, drain plugdan scheduled restoration task pada komponenmotor, Connecting Shaft, couplingrod, rotor
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PERENCANAAN KEGIATAN PERAWATAN MENGGUNAKAN METODE RCM II PADA MUD PUMP INDUSTRI GULA
Seminar K3, 2018Co-Authors: Rossa, Bantar Melvina, Setiawan, Priyo Agus, Sidi PranowoAbstract:Mud pump berfungsi untuk memompa endapan lumpur dari mud tank menuju filter press. Kerusakan pada alat ini dapat mengakibatkan lumpur yang seharusnya dipompa menuju filter press justru menjadi tercecer di area lingkungan kerja sekitar mud pump. Maka dari itu diperlukan aktivitas maintenance yang tepat agar perangkat dapat beroperasi secara optimal. Penentuan strategi pemeliharaan dalam penelitian ini dilakukan dengan menggunakan metode Reliability Centred Maintenance II. Hasil analisa pada FMEA (Failure Mode and Effect Analysis) menunjukan bahwa terdapat 10 bentuk kegagalan (failure modes) yang mempunyai potensi penyebab terjadinya kegagalan fungsi (functional failure) pada mud pump. Hasil penilaian risiko dengan Risk Priority Number (RPN) yang diberikan dalam FMEA menunjukkan komponen dengan nilai RPN tertinggi yaitu mechanical seal dengan nilai RPN 216 dan Coupling Rod dengan nilai RPN 192. Pada analisis RCM II Decision Worksheet didapatkan informasi mengenai kegiatan perawatan yang dilakukan adalah scheduled discard task pada komponen bearing, o-ring, mechanical seal, stator, Shaft sleeve, drain plugdan scheduled restoration task pada komponenmotor, Connecting Shaft, coupling rod, rotor.Kata Kunci: Reliability Centered Maintenance, Mud Pump, Preventive Maintenance, FMEA
Sidi Pranowo - One of the best experts on this subject based on the ideXlab platform.
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PERENCANAAN KEGIATAN PERAWATAN MENGGUNAKAN METODE RCM II PADA MUD PUMP INDUSTRI GULA
Seminar K3, 2018Co-Authors: Rossa, Bantar Melvina, Setiawan, Priyo Agus, Sidi PranowoAbstract:Mud pump berfungsi untuk memompa endapan lumpur dari mud tank menuju filter press. Kerusakan pada alat ini dapat mengakibatkan lumpur yang seharusnya dipompa menuju filter press justru menjadi tercecer di area lingkungan kerja sekitar mud pump. Maka dari itu diperlukan aktivitas maintenance yang tepat agar perangkat dapat beroperasi secara optimal. Penentuan strategi pemeliharaan dalam penelitian ini dilakukan dengan menggunakan metode Reliability Centred Maintenance II. Hasil analisa pada FMEA (Failure Mode and Effect Analysis) menunjukan bahwa terdapat 10 bentuk kegagalan (failure modes) yang mempunyai potensi penyebab terjadinya kegagalan fungsi (functional failure) pada mud pump. Hasil penilaian risiko dengan Risk Priority Number (RPN) yang diberikan dalam FMEA menunjukkan komponen dengan nilai RPN tertinggi yaitu mechanical seal dengan nilai RPN 216 dan Coupling Rod dengan nilai RPN 192. Pada analisis RCM II Decision Worksheet didapatkan informasi mengenai kegiatan perawatan yang dilakukan adalah scheduled discard task pada komponen bearing, o-ring, mechanical seal, stator, Shaft sleeve, drain plugdan scheduled restoration task pada komponenmotor, Connecting Shaft, coupling rod, rotor.Kata Kunci: Reliability Centered Maintenance, Mud Pump, Preventive Maintenance, FMEA
Weihai Chen - One of the best experts on this subject based on the ideXlab platform.
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Mechanical Design and Simulation on Bionic Lower Extremity Rehabilitation Robot
2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2019Co-Authors: Jianbin Zhang, Xin Chang, Jianhua Wang, Weihai ChenAbstract:Lower extremity exoskeleton rehabilitation robot is a research focus in the field of robotics, which is meant to assist rehabilitation doctors in rehabilitation training for patients. This paper mainly discusses a new type of bionic lower limb rehabilitation robot. First, the main mechanical structure of the rehabilitation robot is analyzed, including the leg structure, the backboard system and the auxiliary rehabilitation platform. Secondly, the kinematics analysis of the external bones was carried out and the space of motion was calculated. Finally, the whole model of the rehabilitation robot is imported into ADAMS, and the correctness of the analysis is verified by kinematics simulation. In addition, the force on the Connecting Shaft of each electric push rod is measured by ADAMS, which provides a basis for the dynamic analysis and verification of the exoskeleton of the lower extremity. Kinematics analysis and simulation can help plan and optimize gait curves.
Yang Bin - One of the best experts on this subject based on the ideXlab platform.
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Modeling of an Oil Free Carbon Dioxide Compressor Using Sanderson-Rocker Arm Motion (S-Ram) Mechanism
'Purdue University (bepress)', 2017Co-Authors: Yang BinAbstract:The multi-piston axial reciprocating compressor using the Sanderson-Rocker Arm Motion (S-RAM) mechanism is expected to have less leakage from the cylinder to the shell space due to the vertical motion of the piston assembly in the cylinder. The main frictional power loss is located at the ball-socket joints Connecting the piston with the wobble plate of the S-RAM mechanism. The stroke of the compressor can be changed by altering the inclined angle between the Connecting Shaft and machine driving Shaft, to change the delivered refrigerant mass flow rate to match the capacity requirement in industry. A comprehensive simulation model for a prototype reciprocating compressor using the S-RAM mechanism has been developed. The natural refrigerant carbon dioxide (CO2) is used as the working fluid. The comprehensive model is comprised of a kinematics model, compression process model, dynamics model and an overall energy balance model. In the kinematics model, the movement of the piston is given including its displacement, velocity and acceleration. It is found that the moving path of the center of the ball in the ball-socket joint is moving around a corresponding cylinder centerline with a ‘figure 8’ motion instead of moving along the cylinder centerline. In the compression process model, the system of governing equations is solved, which incorporates a valve sub-model and a leakage sub-model. The variable step size RKF45 method and Broyden’s method are employed to solve the non-linear system of equations to find the in-cylinder refrigerant state (instantaneous temperature and pressure) at each rotational angle of the machine driving Shaft. The variations of suction and discharge valve movements with respect to driving Shaft rotational angle are also given. The values of the cylinder wall temperature, the actual suction and discharge temperatures in the Connecting pipes are required to initiate the solving of the compression process model. These temperatures are solved simultaneously by incorporating the overall energy balance model with the compression process model. A lumped temperature assumption is employed in the overall energy balance model to assume there is no temperature gradient in each compressor component at steady-state. The dynamics model, which focuses on the frictional power loss, runs based on the in-cylinder refrigerant pressure determined in the solution of the compression process model. The presented modeling methodology is validated by modeling a conventional reciprocating piston compressor instead of the S-RAM compressor since there are no test data available for the prototype S-RAM compressor. The simulation model was updated to predict the performance of a conventional reciprocating compressor. Required modifications are made to account for the difference between these two compressors. The simulation results are validated using test data obtained from a hot-gas bypass test stand and the data from the published compressor map. Using this validated methodology, the simulation results for the S-RAM compressor are given. Moreover, the effects of different parameters on the compressor performance are investigated in the parametric studies (such as the effect of the valve spring stiffness and the effect of stroke-to-bore ratio) so that proper parameters are chosen to optimize the compressor
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An Integrated Model for an Oil Free Carbon Dioxide Compressor Using Sanderson-Rocker Arm Motion Mechanism
'Purdue University (bepress)', 2016Co-Authors: Yang Bin, Kurtulus Orkan, Groll EckhardAbstract:The multi-piston axial reciprocating compressor using the Sanderson-Rocker Arm Motion (S-RAM) mechanism is expected to have high volumetric efficiencies due to the application of a new type of seal to prevent the in-cylinder refrigeration gas leaking through the clearance between piston and cylinder wall. The stroke of the compressor can be controlled by adjusting the inclination angle between the Connecting Shaft and machine driving Shaft. This allows the control of the delivered refrigerant mass flow rate to match the capacity requirement in the field. A comprehensive simulation model for a prototype reciprocating compressor using the S-RAM mechanism has been developed. The natural refrigerant carbon dioxide (CO2) is used as the working fluid. The comprehensive model is comprised of a kinematics model, compression process model, dynamics model and an overall energy balance model. In the kinematics model, the movement of the piston is given including its displacement, velocity and acceleration. It is found that the moving path of the center of the ball in the ball-socket joint is moving around a corresponding cylinder centerline with a ‘figure 8’ motion instead of moving along the cylinder centerline. In the compression process model, the system of governing equations is solved, which incorporates a valve sub-model, leakage sub-model and gas pulsation sub-model. The classical 4th order Runge-Kutta method and Broyden’s method are employed to solve the non-linear system of equations to find the in-cylinder refrigerant state (temperature, pressure) at each rotational angle of the machine driving Shaft. The variations of suction and discharge valve movements with respect to driving Shaft rotational angle are also given. The values of the cylinder wall temperature, the actual suction and discharge temperatures in the Connecting pipes are required to initiate the solving of the compression process model. These temperatures are solved simultaneously by incorporating the overall energy balance model with the compression process model. A lumped temperature assumption is employed in the overall energy balance model to assume there is no temperature gradient in each compressor component at steady-state. The dynamics model, which focuses on the frictional power loss, uses the in-cylinder refrigerant pressure determined from the solution of the compression process model.
Jianbin Zhang - One of the best experts on this subject based on the ideXlab platform.
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Mechanical Design and Simulation on Bionic Lower Extremity Rehabilitation Robot
2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2019Co-Authors: Jianbin Zhang, Xin Chang, Jianhua Wang, Weihai ChenAbstract:Lower extremity exoskeleton rehabilitation robot is a research focus in the field of robotics, which is meant to assist rehabilitation doctors in rehabilitation training for patients. This paper mainly discusses a new type of bionic lower limb rehabilitation robot. First, the main mechanical structure of the rehabilitation robot is analyzed, including the leg structure, the backboard system and the auxiliary rehabilitation platform. Secondly, the kinematics analysis of the external bones was carried out and the space of motion was calculated. Finally, the whole model of the rehabilitation robot is imported into ADAMS, and the correctness of the analysis is verified by kinematics simulation. In addition, the force on the Connecting Shaft of each electric push rod is measured by ADAMS, which provides a basis for the dynamic analysis and verification of the exoskeleton of the lower extremity. Kinematics analysis and simulation can help plan and optimize gait curves.