Numerical Simulation of the Power Shift Drive (PSD)-Axle in the Forklift

2008 ◽  
Author(s):  
Sung-Moon Park ◽  
Tae-Won Park ◽  
Soo-Ho Lee ◽  
Kab-Jin Jun ◽  
Sung-Pil Jung ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Dynamic Model ◽  
Model Simulation ◽  
Movement Analysis ◽  
Torque Converter ◽  
Power Delivery ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Dynamic Movement ◽  
Power Shift

In this study, a new concept of power delivery system is developed. Power Shift Drive (PSD)-Axle vehicle modeling and dynamic movement analysis are performed by simulation. The dynamic vehicle model is constructed from data obtained from the derived equation, considering the specific characteristic of each part. The model is composed of a torque converter, a gear box, a differential, hub reduction and an engine, which is the power source of the 1st forward and reverse PSD-Axle, as the principle parts. By unifying the mathematical equation of each component, a mathematical model of the 1st forward gear is derived. The system dynamic model is created using Matlab/Simulink based on the mathematical model. Simulation is carried out using simulink to estimate the dynamic behavior of the PSD-Axle. Also, the dynamo test result is used to verify the reliability of the system dynamic model. This study can be used to establish the basic design concept for the forward and reverse PSD-Axle multi gear system.

Toward a circular economy: A system dynamic model of recycling framework for aseptic paper packaging waste in Indonesia

2021 ◽  
Vol 301 ◽  
pp. 126901
Author(s):  
Tsai-Chi Kuo ◽  
Ni-Ying Hsu ◽  
Reza Wattimena ◽  
I-Hsuan Hong ◽  
Chin-Jung Chao ◽  
...  
Keyword(s):  
Dynamic Model ◽  
Circular Economy ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Packaging Waste

Aero-engine dynamic model based on an improved compact propulsion system dynamic model

2021 ◽  
pp. 095965182098408
Author(s):  
Qiangang Zheng ◽  
Yong Wang ◽  
Chongwen Jin ◽  
Haibo Zhang
Keyword(s):  
Dynamic Model ◽  
Propulsion System ◽  
System Dynamic ◽  
Inlet Temperature ◽  
System Dynamic Model ◽  
Component Level ◽  
Engine Model ◽  
Surge Margin ◽  
Aero Engine ◽  
Engine Dynamic

The modern advanced aero-engine control methods are onboard dynamic model–based algorithms. In this article, a novel aero-engine dynamic modeling method based on improved compact propulsion system dynamic model is proposed. The aero-engine model is divided into inlet, core engine, surge margin and nozzle models for establishing sub-model in the compact propulsion system dynamic model. The model of core engine is state variable model. The models of inlet, surge margin and nozzle are nonlinear models which are similar to the component level model. A new scheduling scheme for basepoint control vector, basepoint state vector and basepoint output vector which considers the change of engine total inlet temperature is proposed to improve engine model accuracy especially the steady. The online feedback correction of measurable parameters is adopted to improve the steady and dynamic accuracy of model. The modeling errors of improved compact propulsion system dynamic model remain unchanged when engine total inlet temperature of different conditions are the same or changes small. The model accuracy of compact propulsion system dynamic model, especially the measurable parameters, is improved by online feedback correction. Moreover, the real-time performance of compact propulsion system dynamic model and improved compact propulsion system dynamic model are much better than component level model.

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