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이춘태(Choon Tae Lee) 유공압건설기계학회 2015 드라이브·컨트롤 Vol.12 No.4
Unlike a typical metal spring, a gas spring uses compressed gas contained in a cylinder and compressed by a piston to exert a force. A common application includes automobiles where gas spring are incorporated into the design of open struts that support the weight of tail gate. They are also used in furniture such as office chairs, and in medical and aerospace applications. The gas spring works by the application of pressurized gas (nitrogen) contained in a cylinder. The internal pressure of the gas spring greatly exceeds atmospheric pressure. This differential in pressure exists at any rod position and generates an outward force on the rod, making the gas spring extend. In this paper, we investigated the dynamic characteristics of a gas spring on an automotive tail gate system.
이춘태(Choon Tae Lee),박태근(Tae Guen Park),정걸(Girl Jung),백태현(Tae Hyun Baek) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.3
In this paper, 8-step photoelastic phase shifting method was performed by using a multi-purpose polariscope to measure the fringe orders from the specimen made of Polycarbonate. The measurement results were compared with the results calculated by ABAQUS. Photoelastic measurements and FEM results are close comparable. The hybrid method that couples photoelastic data inputs and complex variable formulations involving conformal mapping analytical continuity is used to conduct the theoretic isochromatic fringe patter which were compared to the actual one.
이춘태(Choon Tae Lee) 유공압건설기계학회 2017 드라이브·컨트롤 Vol.14 No.4
The gas spring is a hydropneumatic adjusting element, consisting of a pressure tube, a piston rod, a piston and a connection fitting. The gas spring is filled with compressed nitrogen within the cylinder. The filling pressure acts on both sides of the piston and because of area difference it produces an extension force. Therefore, a gas spring is similar in function compare to mechanical coil spring. Conversely, optimization is a process of finding the best set of parameters to reach a goal while not violating certain constraints. The AMESim software provides NLPQL (Nonlinear Programming by Quadratic Lagrangian) and GA (genetic algorithm) for optimization. The NLPQL method builds a quadratic approximation to the Lagrange function and linear approximations to all output constraints at each iteration, starting with the identity matrix for the Hessian of the Lagrangian, and gradually updating it using the BFGS method. On each iteration, a quadratic programming problem is solved to find an improved design until the final convergence to the optimum design. In this study, we conducted optimization design of the gas spring reaction force with NLPQL.