Minuk Lee

Monte Carlo Simulation of the Manufacturing Tolerance of FDBs to Identify the Sensitive Design Variables Affecting the Performance of a Disk-Spindle System

This research investigates the Monte Carlo simulation of manufacturing tolerance of FDBs to identify the sensitive design variables for the friction torque of fluid dynamic bearings (FDBs) and the critical mass of disk-spindle system supported by FDBs. We analyze the characteristics according to design variables of FDBs and it shows that the clearance of journal bearing is most sensitive design variable of both friction torque and critical mass. Also the groove to groove and ridge ratio and groove depth of grooved journal bearing which are manufactured by ECM are also sensitive to determine the friction torque and the critical mass of the FDBs, respectively. This research can be utilized to manage manufacturing tolerance to maintain the consistent performance of FDBs and a disk-spindle system in a HDD.Copyright

Metamodel-Based Multidisciplinary Design Optimization of a Deep-Sea Manganese Nodules Test Miner

A deep-sea manganese nodules test miner has not only coupled relationship between system components but also various design requirements of each system to meet the specified multitasks. To accomplish the multiobjectives of complex systems, multidisciplinary design optimization (MDO) is performed. Metamodels such as the kriging model and the response surface model are employed to reduce computational costs for MDO and to integrate component systems in a design framework. After verifying the accuracy of each metamodel, metamodel-based MDO for a deep-ocean test miner is formulated and performed. Finally, results and advantages of the proposed design methodology are discussed.

Experimental verification of the optimal FDBs in a HDD spindle motor to minimize power consumption

This research experimentally verified the optimal design of the fluid dynamic bearings (FDBs) in a hard disk drive (HDD) spindle motor to minimize power consumption while maintaining the level of dynamic performance. HDD spindle motors with optimal FDBs were prototyped, and their power consumption and dynamic characteristics were measured and compared with those of conventional and simulated motors at various operating speeds. HDD spindle motors with optimal FDBs consume less power than conventional motors, as predicted in the proposed optimal design methodology.In this paper, we experimentally verified the optimal design of the fluid dynamic bearings (FDBs) in a HDD spindle motor to minimize power consumption while maintaining the same level of dynamic performance. HDD spindle motors with optimal FDBs were prototyped, and their power consumption and dynamic characteristics were measured and compared with those of conventional ones at various operating speed. It shows that the HDD spindle motors with optimal FDBs consume less power than those of the conventional ones as predicted in the proposed optimal design methodology.

Efficient Robust Design Optimization Using Statistical Moments Based on Multiplicative Decomposition Method

The performance of a system can be affected by various variables such as manufacturing tolerances, uncertainties of material properties, and environmental factors acting on the system. Robust design optimization has attracted much attention in the design of products because it can find the best design solution that minimizes the variance of the response while considering the distribution of the variables. However, the computational cost and accuracy of optimization have thus far been a challenging problem. In this study, robust design optimization using the multiplicative decomposition method is proposed in order to solve these problems. Because the proposed method calculates the mean and variance of the system directly from the kriging metamodel using the multiplicative decomposition method, it can be used to search for a robust optimum design accurately and efficiently. Several mathematical and engineering examples are used to demonstrate the feasibility of the proposed method.

Efficient Robust Design Optimization Using Statistical Moment Based on Multiplicative Decomposition Considering Non-normal Noise Factors

The performance of a system can be affected by the variance of noise factors, which arise owing to uncertainties of the material properties and environmental factors acting on the system. For robust design optimization of the system performance, it is necessary to minimize the effect of the variance of the noise factors that are impossible to control. However, present robust design techniques consider the variation of design factors, and not the noise factors, as being important. Furthermore, it is necessary to assume a normal distribution; however, a normal distribution is often not suitable to estimate the variations. In this study, a robust design technique is proposed to consider the variation of noise factors that are estimated as non-normal distributions in a real experiment. As an example of an engineering problem, a deep-sea manganese nodule miner tracked vehicle is used to demonstrate the feasibility of the proposed method.

Taguchi Robust Design of Tracked Vehicle for Manganese Nodule Test Miner in Collecting Operation Considering Deep-sea Noise Factors

A deep-sea manganese nodule miner consists of 4 parts: the pickup device, crusher, disposal device, and tracked vehicle. The tracked vehicle is an essential component to keep the self-propelled miner moving across deep-sea soil. The performances of the tracked vehicle are influenced by noise factors: the shear strength of the seafloor, bottom current, seafloor slope, track speed, reaction forces of flexible hose, etc. It is necessary to adopt a robust design method that improves the performances and minimizes the variation caused by noise factors. Taguchi`s method, the most widely known robust design method, searches for the robust optimum using an orthogonal array composed of the product of the inner array and outer array. In this paper, we propose a new screening technique to reduce the number of input factors and apply the MRSN (Multi-Response Signal to Noise) ratio to convert multiple performances into single one in order to overcome the difficulties and limitations of using Taguchi`s method in a case with many input factors and multiple performances. A test miner was already designed and tested. It has about 1/10 the capacity of a commercial one and was successfully operated at an in-shore area. Taguchi`s robust design was applied to the tracked vehicle of the test miner, and design improvements were implemented for the vehicle.

정확한 신뢰성 해석을 위한 아카이케 정보척도 기반 일반화파레토 분포의 임계점 추정

공학분야의 신뢰성 해석은 점점 더 높은 신뢰도 영역에 대한 확률밀도함수의 예측을 요구한다. 따라서 높은 신뢰도를 정확하게 해석하기 위해 분포의 꼬리부분을 정확하게 표현해야 한다. 최근 들어 꼬리부분에 대한 표본만을 이용해 꼬리 모형을 생성하여 신뢰도를 추정할 수 있는 방법인 일반화파레토 분포에 대한 연구가 활발히 진행되고 있다. 하지만 기존의 연구에서는 부정확한 임계점 추정으로 꼬리 부분에서 신뢰도의 정확도가 떨어진다. 따라서 본 논문에서는 아카이케 정보척도를 이용하여 임계점을 정확하고 강건하게 추정하고 이를 통해 꼬리 모형의 정확도를 향상시키는 아카이케 정보척도 기반 일반화파레토 분포 기법을 제안한다. 또한 제안하는 기법을 이용한 신뢰성 해석을 수행하여 정확도가 향상된 신뢰성 해석 결과를 도출하였다.

Computational analysis of the regenerated knee structure after bone marrow stimulation techniques

Bone marrow stimulation techniques, such as abrasion arthroplasty or microfracture, have been widely used for repairing cartilage; however, the mechanical stress analysis of these surgical techniques has not been fully investigated. In this study, finite element analysis was used to investigate stresses produced in complex structures (e.g., cartilage, subchondral bone and trabecular bone) using 2D knee structural models. Abrasion arthroplasty creates global damages only in subchondral bone, but, microfracture technique creates local damages in both trabecular and subchondral regions. Although stresses do not significantly change in trabecular bones as 50% recovery occurs in both abrasion and microfacture samples, significant changes are observed in both subchondral bone and cartilage layer depending on the procedure. The maximum stress levels in the microfractured bone represent approximately a 10.48% increase in cartilage and a 38.25% increase in subchondral bones compared to normal conditions. After 150% recovery, however, all three layers increase their stress levels in microfractured samples. Therefore, the 2D computational analysis results suggest that the microfracture technique should be cautiously used.

중도절단 해류속도자료를 이용한 심해저 시험집광기의 주행성능에 관한 신뢰성 기반 최적설계

Deep-seabed test miner operated by a self-propelled mining system moving on soft soil is an essential device to secure floating and towing performances. The performances of the tracked vehicle are seriously influenced by noise factors such as the shear strength of the seafloor, bottom current, seafloor slope, speed of tracked vehicle, reaction forces of flexible hose, steering ratio, etc. Due to uncertainties related to noise factors, the design of a deep-sea manganese nodules test miner that satisfies target reliabilities is difficult. Therefore, reliability-based design optimization (RBDO) is required to guarantee system reliability under circumstances where uncertainties related to noise factors prevail. Among noise factors, the bottom current, a bimodal distribution, is censored due to the observation limit of measurement devices. Therefore, estimated distribution of the bottom current is inaccurate without considering these characteristics and the result of RBDO cannot be guaranteed. In this paper, we define censored data as unknown values over the limit of observation. If this data is estimated by using Akaike information criterion (AIC) that cannot consider the characteristics of censored data, the distribution of estimated data cannot guarantee accurate reliability. Therefore, censored AIC that can consider the characteristics of data is used to estimate accurate distribution of the bottom current. Finally, RBDO, under circumstances where uncertainties related to noise factors combined censored data are present, is performed on the mobility of a deep-sea manganese nodules test miner.

Stability Analysis of a Whirling Rigid Rotor Supported by FDBs Considering Five Degrees of Freedom of a General Rotor-Bearing System

A rotor supported by fluid dynamic bearings (FDBs) has a whirling motion by centrifugal force due to the mass unbalance or by the flexibility of shaft. This whirling motion also generates periodic time-varying oil-film reaction and dynamic coefficients even in case of the stationary grooved FDBs.This paper proposes a method to determine the stability of a whirling rotor supported by stationary grooved FDBs considering five degrees of freedom of a general rotor-bearing system. Dynamic coefficients are calculated by using the finite element method and the perturbation method, and they are represented as periodic harmonic functions by considering whirling motion. Because of the periodic time-varying dynamic coefficients, the equations of motion of the rotor supported by FDBs can be represented as a parametrically excited system. The solution of the equations of motion can be assumed as the Fourier series so that the equations of motion can be rewritten as simultaneous algebraic equations with respect to the Fourier coefficients. Hill’s infinite determinant is calculated by using these algebraic equations in order to determine the stability.The stability of the FDBs decreases with the increase of rotational speed. The stability of the FDBs increases with the increase of whirl radius, because the average and variation of Cxx increase faster than those of Kxx. The proposed method is verified by solving the equations of motion by using the forth Runge-Kutta method to determine the convergence and divergence of whirl radius.Copyright