A5024013611- Probabilistic and Robust Engineering Design
- Electric Motor Design and Analysis
- Reliability and Maintenance Optimization
- Risk and Safety Analysis
- Advanced Multi-Objective Optimization Algorithms
- Advanced Battery Technologies Research
- Manufacturing Process and Optimization
- Magnetic Bearings and Levitation Dynamics
- Advanced Manufacturing and Logistics Optimization
- Electric Vehicles and Infrastructure
- Non-Destructive Testing Techniques
- Topology Optimization in Engineering
- Vehicle License Plate Recognition
- Advancements in Battery Materials
- Electric and Hybrid Vehicle Technologies
- Numerical methods in engineering
- Simulation and Modeling Applications
- Metallurgy and Material Forming
- Optimization and Packing Problems
- Fatigue and fracture mechanics
- Electric Power Systems and Control
- Geochemistry and Geologic Mapping
- Welding Techniques and Residual Stresses
- Mechanical Behavior of Composites
- Geotechnical and Geomechanical Engineering
Hanyang University
2015-2024
University of California, Davis
2023
Anyang University
2020-2021
The uncertainty of electric machines and drives is inherent in its manufacturing assembly. Robust design optimization finds the under these uncertainties that results a minimal variance while satisfying all constraints. To obtain an accurate result, statistical model significantly important. Moreover, several from single source can be involved owing to multiple components electrical drives. However, this drastically increase numerical cost for conventional robust technique. In work...
To be used as a robotic actuator, surface-mounted permanent magnet synchronous motor (SPMSM) requires low cogging torque characteristic. The aim of this study is to analyze and reduce the torque's variation due assembly imperfection segmented stator that widely in SPMSM. Considering interconnection segments, an equivalent modeling method with introduced. In addition, caused by mathematically evaluated. Then, robust design process incorporates sensitivity analysis optimization proposed. By...
Deep-seabed polymetallic nodules have been recognized as a potential solution to the depletion of many metals that are produced by terrestrial minerals. Mineral resources obtained deep-seabed mining vehicles significantly affect economic viability underwater activities. Therefore, an accurate prediction harvested mineral is important. Probabilistic approach-based prediction, which enhances accuracy evaluation, requires statistical model variability each metal element in nodules. However,...
In rotating motors, an electromagnetic analysis using finite-element is performed according to the time interval such as steps of rotation angle. If uncertainty variable necessary be handled, should become smaller than values. It causes increase cost even if surrogate model applied. Thus, space-time kriging proposed consider well space in design stage. The handles and predicts responses between intervals obtain outputs for tiny variable. performance prediction verified with simulation data...
Abstract Although many routing algorithms have been developed, it is difficult for designers in the automotive industry to adopt them because of complicated preliminary steps that are required. This study presents a systematic framework generating layout tubes, hoses, and cable harnesses commercial truck. The design problem truck analysed defined. For operations, sequential graph-based algorithm employed rapidly provide solution. Because reference does not exist most engineering problems,...
The uncertainty of an electromagnetic device is inherent in its manufacturing process. To consider the various uncertainties, several probabilistic design optimisation techniques, such as robust or reliability‐based optimisation, have been developed. Although a statistical model uncertainties extremely important obtaining accurate result from most studies on assumed these to follow normal distributions. However, this assumption may not be valid real‐world applications. Therefore, study...
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 noise factors such as shear strength seafloor, bottom current, seafloor slope, speed vehicle, reaction forces flexible hose, steering ratio, etc. Due uncertainties related factors, design deep-sea manganese nodules that satisfies target reliabilities difficult. Therefore,...
Recently, reactive materials have been developed for penetrative projectiles to improve impact resistance and energy capacity. However, the design of a material structure, involving shape size, is challenging because difficulties such as high non-linearity resistance, manufacturing limitations expenses penetration experiments. In this study, optimization methodology structure based on finite element analysis. A model analysis introduced save Impact assessed through analysis, result...
This paper proposes triple three-phase surface-mounted permanent magnet synchronous machine (PMSM) as a fascinating solution for ultra-high speed (1260m/min) elevator direct-drive applications and describes its multiphysics design procedure. Particularly, the procedure focused not only on achieving required output power, but also decreasing low frequency radial vibration torque pulsation to ameliorate riding comfort of occupants. As result, 144-slot 40-pole combination with 20 electrical...
Seabed mining is a potential solution for diversifying the supply chains of various raw materials required zero-emission industrial products. The design nodule-lifting apparatus in seabed electric vehicle crucial step because it significantly affects efficiency entire system. Although physical properties polymetallic nodules are vital external parameters, little attention has been paid to their effect on apparatuses. This study aims analyze and model nodules, expand conventional numerical...
Considering effects of manufacturing tolerance on a performance, robust design optimization using surrogate model is applied for an electrical machine. When constructing the design, it can be required to reduce number variables because high computational costs. Therefore, sensitivity analysis method performance which affected by investigated in this paper. Analysis variance (ANOVA) employed analysis. An orthogonal array combination inner and outer used ANOVA. The proposed was interior...