• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.643-646
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• 1997

Gear trains are used in many machinery for variable speed ratios. Typical shapes of gear trains are tivo categories : simple gear trains and planetary gear trains. This paper presents the kinematic ctraracteristics for planetary gear trains. The characteristics are the constraints of geometric relationships, number of gears, speed of each gear. and speed ratio of the train. The objective goal of this paper provides the CAI) software, which is the academic tool for understanding the kinematics of the planetary gear trains.

• International Journal of Precision Engineering and Manufacturing
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• 제1권1호
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• pp.62-70
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• 2000

The design of gear train is a kind of mixed problems which have to determine various types of design variables; i,e., continuous, discrete, and integer variables. Therefore, the most common practice of optimum design using the derivative of objective function has difficulty in solving those kinds of problems and the optimum solution also depends on initial guess because there are many sophisticated constrains. In this study, the Genetic Algorithm is introduced for the optimum design of gear trains to solve such problems and we propose a genetic algorithm based gear design system. This system is applied for the geometrical volume(size) minimization problem of the two-stage gear train and the simple planetary gear train to show that genetic algorithm is better than the conventional algorithm solving the problems that have continuous, discrete, and integer variables. In this system, each design factor such as strength, durability, interference, contact ratio, etc. is considered on the basis of AGMA standards to satisfy the required design specification and the performance with minimizing the geometrical volume(size) of gear trains

• 한국생산제조학회지
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• 제22권3호
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• pp.364-371
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• 2013

Because of the increases in international oil prices and the level of global warming, the automotive industry has much interest in developing green cars with high fuel efficiencies. In addition, researchers in Korea are actively responding to high oil prices and $CO_2$ emission regulations in many ways. One example is, the multi-mode hybrid system, which is being studied to improve its performance. Because a multi-mode hybrid system is able to overcome the weaknesses of a system that uses simple planetary gears, excellent fuel efficiency and driving performances are the key features of the system. This paper analyzes the driving performance of the power-train system of GM-2MT70, which consists of one engine, two electric motors, one simple planetary gear, one double planetary gear, two clutches, and two brakes. The driving performance of the system's steady state is analyzed using performance modeling. The dynamic performance is analyzed using Matlab Simulink.

• 한국소음진동공학회논문집
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• 제25권7호
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• pp.487-495
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• 2015

A generalized special program called planetary transmission analysis(here in after PTA) is developed to improve planetary gear noise in automatic transmission. PTA is capable of analyzing any typical one-degree-of-freedom automatic transmission gear train containing any number of simple, compound or complex-compound planetary gear sets. The kinematics module in PTA can compute the rotational speeds of gears and carriers and calculate the order frequencies to predict the planetary noise components. The power flow analysis module performs a complete static force analysis providing forces, moments, or torques of gears, bearings, clutches and connections. Based on the given type and number of planetary gear sets, the search algorithm determines all possible kinematic configurations and gear tooth combinations in a required set of gear ratios, while eliminating whole kinematic redundancies and unfavorable clutching sequences. By using PTA program, planetary internal speeds of new developed automatic transmission are early obtained; therefore, possibility of the noise problem could be predicted in early design stage. As implementing PTA in planetary gear NVH development procedure, planetary gear noise was successfully reduced by 10 dBA.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.281-284
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• 1992

This paper is aiming to apply the Genetic Algorithms (GAs) to the interactive design. For that purpose, the scheme for utilizing the past design processes for the next interactive design process is proposed. In this scheme, the process consists of three phases: the searching phase, the tuning phase and the design phase. The first phase searches the optimal decision sequences for the past design instances by GAs. By the collected sequences, the second phase tunes the criteria of selecting decision sequences for the next design process. By this scheme, the implicit constraints satisfied in the past design can be applied to the next design. Finally, the computer simulations on the simple gear-train design were carried out to show the effectiveness of the scheme.

• 대한기계학회논문집A
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• 제40권8호
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• pp.711-719
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• 2016

본 연구에서는 철도차량의 대형사고의 주요원인 되는 타고오름 충돌에 대해 이론 모델을 정립하여 선두차량의 타고오름 거동에 대한 이론식을 도출하였다. 이론식을 검증하기 위하여 상용 소프트웨어인 LS-DYNA를 사용하여 이론모델과 동일한 단순 2차원 모델과 실제 동력대차 모델이 적용된 단순 3차원 모델을 만들어 시뮬레이션으로 비교하였다. 타고오름 현상에서 가장 중요한 전두 완충기 수직변위에 대해 시뮬레이션과 이론식을 비교한 결과 최대 편차율은 0.5 [%]과 3.9 [%] 발생하여 이론식이 실제 모델에도 잘 적용될 수 있음을 확인하였다. 또한, 고무 완충기와 유압 버퍼 2가지를 적용한 여러 가지 충돌조건에 대해 이론식을 적용하여 선두 차량 간 타고오름 량을 분석하고, 사고 후 재현 시뮬레이션이나 전두부 충돌완충 설계 시 활용할 수 있는 이론적 방법을 제시하였다.