Ir. Dr. Ng Khai Ching obtained his Bachelor degree in Mechanical Engineering (1st CH with Vice-Chancellor Award) from Universiti Tenaga Nasional (UNITEN), Malaysia in 2003. Soon after his graduation, he worked as an Application Engineer (Computer Aided Engineering) to support the end users of the Finite-Element software, i.e. Altair Hyperworks (i.e. HyperMesh, Optistruct, etc.). He was trained in Altair India (Bangalore) by a group of professional CAE engineers and software developers, before continuing his Ph.D. study in the same university. Due to his strong interests in programming and numerical schemes embedded in those commercial CAE software, his Ph.D. work is mainly on developing high-resolution finite-volume schemes (accelerated with multigrid technique) for solving fluid flow problems on solution-adaptive unstructured meshes.
Soon after completing his Ph.D. in 2006, he was granted a 2-year contract as a Researcher in O.Y. L. R&D Centre (now Daikin Malaysia), helping the company to develop a 3D user-friendly & highly customized fluid dynamics simulation software for solving indoor (Indoor Air Quality) & outdoor airflow (tripping of condensing units) problems. He worked mainly on developing the 3D CFD pre-processor (mesh generator) & 3D CFD solver (RANS solver) using FORTRAN 95. In 2008, he joined National University of Singapore (NUS) as a post-doctoral researcher, working on Direct Numerical Simulation (DNS) for simulating turbulent flow over dimpled surface (drag reduction study sponsored by Airbus UK). He was trained on writing parallel CFD code using Message Passing Interface (MPI). In 2009, he re-joined DAIKIN Malaysia to extend his fluid dynamics simulation software for handling 3D arbitrarily complex geometry, to develop in-house cooling and heating loads calculation software, and to offer consultancy service on Computational Fluid Dynamics (CFD) to DAIKIN's distributors worldwide. He has led a team to develop the 3D CFD software (written in C++ & OPENGL) for DAIKIN, which is now called the Virtual Room Simulator (VRSIM). This software has been used by Daikin's distributors such as those in ACSON and Group Associated (GA) to study airflow problems.
He joined UNITEN as Associate Professor in 2012 and managed to secure two national research grants funded by MOE and MOSTI to work on mesh-less Computational Fluid Dynamics. In 2016, he was funded by the National Center of Theoretical Science (NCTS) in National Taiwan University (NTU) as a visiting scholar, working on Dissipative Particle Dynamics (DPD) for mesoscale simulation. His work in NCTS has further inspired him to work on particle-based methods for solving challenging fluid flow problems (involving rapid dynamics) which are difficult to be simulated using conventional CFD software nowadays.
He has been consistently publishing his work in reputable computational-based journals. During his tenure in academia, he has authored numerous ISI-indexed journal papers (as first author), mainly to disseminate his findings in computational methods. His current research interests are mainly on: (1) Fluid-Structural Interaction (e.g. physiological flow, ocean energy harvesting, 3D printing process of fiber-reinforced polymer etc.); (2) meshless numerical methods (e.g. Smoothed Particle Hydrodynamics (SPH), Discrete Element Method (DEM), Lattice Spring Method (LSM), hybrid mesh-meshless methods); (3) indoor airflow simulation; (4) Object-Oriented Programming (OOP) and (5) parallel programming (e.g. MPI, OPENMP, CUDA).
My area of expertise is Computational Fluid Dynamics (CFD), Smoothed Particle Hydrodynamics (SPH), Object-Oriented Programming, Parallel Programming (OpenMP and CUDA).
In the past I have taught many Mechanical Engineering subjects such as Engineering Graphics and CAE, Statics, Thermodynamics, and Computational Fluid Dynamics.
Currently I am teaching Thermofluids 3 and Introduction to Aerospace Technology.
Currently, I am mainly working on Smoothed Particle Hydrodynamics (SPH) method and couple it with other particle-based method such as Lattice Spring Method (LSM) and Discrete Element Method (DEM) to… read more
LIU, REX KUAN-SHUO, NG, KHAI-CHING and SHEU, TONY WEN-HANN, 2019. A new high-order particle method for solving high Reynolds number incompressible flows Computational Particle Mechanics. 6(3), 343-370 NG, YL, NG, KHAI CHING and SHEU, TWH, 2019. A new higher-order RBF-FD scheme with optimal variable shape parameter for partial differential equation Numerical Heat Transfer, Part B: Fundamentals. 75(5), 289-311
NG, KHAI CHING, NG, YEE LUON, SHEU, TWH and MUKHTAR, A, 2019. Fluid-solid conjugate heat transfer modelling using weakly compressible smoothed particle hydrodynamics International Journal of Mechanical Sciences. 151, 772-784
Currently, I am mainly working on Smoothed Particle Hydrodynamics (SPH) method and couple it with other particle-based method such as Lattice Spring Method (LSM) and Discrete Element Method (DEM) to solve complex Fluid Structural Interaction (FSI) problems such as ocean wave modeling (energy harvesting) and biological flow. This method is very potential in solving FSI problem involving solid rupture such as crack propagation in structure due to water pressure, cell motion in elastic artery, etc.The code was written in C++ (Object-Oriented (OOP)) and executable in a single GPU workstation for parallel processing.
I have been developing innovative numerical methods to solve complex fluid and solid mechanics problems. These methods were implemented in the form of computational codes so that it can be executed on the computer. I have been working on Finite Volume Method (FVM), Immersed Boundary Method (IBM), Meshfree methods such as Moving Particle Semi-implicit (MPS) Method and Smoothed Particle Hydrodynamics (SPH), and hybrid FVM-meshfree method. Many codes have been developed and the methods have been published in many high impact computational related journals. The FVM code has been embedded in a very user-friendly Graphical User Interface (GUI) powered by OPENGL and the software is currently used in an multi-national air-conditioning company.
My future research is mainly on extending my current SPH code in multi-GPU environment to shorten the computational time. Moreover, the code can be easily extended to incorporate more advanced model as it is written in the OOP style.