A5003737204- Probabilistic and Robust Engineering Design
- Topology Optimization in Engineering
- Advanced Multi-Objective Optimization Algorithms
- Structural Health Monitoring Techniques
- Manufacturing Process and Optimization
- Cellular and Composite Structures
- Additive Manufacturing and 3D Printing Technologies
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Structural Response to Dynamic Loads
- Industrial Vision Systems and Defect Detection
- Design Education and Practice
- Optimal Experimental Design Methods
- Wind and Air Flow Studies
- Innovations in Concrete and Construction Materials
- Fatigue and fracture mechanics
- Composite Material Mechanics
- Welding Techniques and Residual Stresses
- Additive Manufacturing Materials and Processes
- Non-Destructive Testing Techniques
- Advanced Mathematical Modeling in Engineering
- Architecture and Computational Design
- Infrastructure Maintenance and Monitoring
- Advanced machining processes and optimization
- Product Development and Customization
Georgia Institute of Technology
2015-2024
Sunchon National University
2007
Wright State University
2003-2006
Savannah Technical College
2006
Diagnosis of mechanical faults in manufacturing systems is critical for ensuring safety and saving costs. With the development data transmission sensor technologies, measuring can acquire massive amounts multisensor data. Although deep learning (DL) provides an end-to-end way to address drawbacks traditional methods, it necessary do research on intelligent fault diagnosis method based In this article, a novel fusion (MSF) convolutional neural network (CNN) explored. First,...
A computationally efficient procedure for quantifying uncertainty and finding significant parameters of models is presented. To deal with the random nature input structural models, several probabilistic methods are investigated. Specifically, polynomial chaos expansion Latin hypercube sampling used to represent response an uncertain system. employed evaluating generalized Fourier coefficients expansion. Because key challenge in analysis find most components that drive variability, variance...
Biomimetic metallic biomaterials prepared for bone scaffolds have drawn more and attention in recent years. However, the topological design of is critical to cater multi-physical requirements efficient cell seeding regeneration, yet remains a big scientific challenge owing coupling mechanical mass-transport properties conventional that lead poor control towards favorable modulus permeability combinations. Herein, inspired by microstructure natural sea urchin spines, biomimetic constructed...
A mixture of general-use and some custom-designed plastic parts, fabricated on inexpensive layered manufacturing machines, is used to construct a variety sculptural maquettes.This article describes the design fabrication set modular parts that permit assembly tubular sculptures as well constructivist realizations mathematical knots links.
Purpose Methods to optimize lattice structure design, such as ground optimization, have been shown be useful when generating efficient design concepts with complex truss-like cellular structures. Unfortunately, designs suggested by optimization methods are often infeasible because the obtained cross-sectional parameter values cannot fabricated additive manufacturing (AM) processes, and it is very difficult transform a proposal into one that can additively designed. This paper aims propose an...
In this paper, a two-step homogenization method is proposed and implemented for evaluating effective mechanical properties of lattice structured material fabricated by the extrusion additive manufacturing process. order to consider characteristics process in estimation procedures, levels scale are divided into three stages — layer deposition, structural element, structure. The consists two transformations among stages. first step, transformation between deposition element find geometrical...
Limited amount of training dataset is often a critical problem in developing diagnosis model or computational intelligence mechanical failures. In this paper, we propose Selected Frequency Range Critical Information Map (SFCIM)-based data-driven method for detecting system failure with relatively small available dataset. The algorithm determines whether there reference to normal condition signals using the spectral subtraction method. process, time-domain synchronization and time-frequency...
An integrated multiscale modeling framework that incorporates a simulation-based upscaling technique is developed and implemented for the material characterization of additively manufactured cellular structures in this paper. The proposed procedure enables determination homogenized parameters at multiple levels by matching probabilistic performance between fine coarse scale models. Polynomial chaos expansion (PCE) employed to handle computational burden caused input uncertainties. Efficient...