Jing Yuen Tey - Profile on Academia.edu (original) (raw)

Papers by Jing Yuen Tey

3D printing of low carbon steel using novel slurry feedstock formulation via material extrusion method

Applied materials today, Jun 1, 2024

3D printing of composite material through blending of PLA and PETG using fused deposition modelling

AIP Conference Proceedings, Dec 31, 2022

Thermomechanical Stresses of Multilayered Wellbore Structure ‎of Underground Hydrogen Storage – A Simplified Solution Based ‎on Recursive Algorithm

DOAJ (DOAJ: Directory of Open Access Journals), Sep 30, 2022

Analytical solution of thermo-mechanical stresses of multi-layered hollow spherical pressure vessel

International Journal of Pressure Vessels and Piping, Jun 1, 2021

Abstract This study demonstrates the use of recursive algorithm to formulate the analytical solut... more Abstract This study demonstrates the use of recursive algorithm to formulate the analytical solution of thermo-mechanical stresses of multi-layered hollow spherical pressure vessel. The results for temperature distribution, radial and tangential stresses of the spherical vessel obtained by using the proposed solution were shown to be in good agreement with the FEA results. Besides that, the proposed technique is also able to demonstrate the stress analysis for spherical vessel made of functionally graded material (FGM). As compared to the stresses results obtained from FGM analytical solution reported in literature, the overall percentage of difference of less than 1% can be achieved.

IOP conference series, Jul 2, 2019

Hydrogen fuel has been playing an important role nowadays, it is considered as clean fuel and the... more Hydrogen fuel has been playing an important role nowadays, it is considered as clean fuel and the hydrogen element is highly abundant. Storage of hydrogen in geological formations has been widely applied particularly for large-scale energy storage that required to meet high energy demand. There are different types of underground hydrogen storage methods, one of the most popular and reliable method is to store the hydrogen in depleted oil and gas wells. The structure of the depleted oil and gas well usually constructed by several layers of different materials such as formations, cement and casing. To ensure the well integrity is maintained, a reliable analytical solution to estimate the development of stress under pressure and thermal loading is required. In this paper, a more effective method to estimate the thermo-mechanical stresses of multi-layered hollow cylinder well is developed. The analytical solution is established by considering the well as generalized plane strain problem. The derivation of the equations and the algorithm to obtain results for four layered gas well were demonstrated. In general, the results obtained from the proposed analytical solution are well in agreement with the numerical results. The variations of results obtained from analytical solution and numerical solution are only less than 0.1%.

3D printing of high solid loading zirconia feedstock via screw-based material extrusion

Ceramics International

3D printing of continuous kevlar reinforced polymer composite through coextrusion method

IOP Conference Series: Earth and Environmental Science, 2020

The major drawbacks of 3D printed thermoplastic using fused deposition method (FDM) are exhibit w... more The major drawbacks of 3D printed thermoplastic using fused deposition method (FDM) are exhibit weak mechanical properties. This reduces the usability of the printed part as the functional structure for part replacement in a real-world application. Therefore, in this study a co-extrusion of a continuous fibre of twisted Kevlar using FDM is conducted to examine the improvement of mechanical strength of the 3D printed part with reinforcement of continuous fibre. The coextruded reinforced plastic (CRP) parts consisting of polylactic acid (PLA) as matrix and twisted Kevlar as core fibre. The mechanical performance of printed parts was evaluated in a tensile test under ASTM D638 standard. The results of both CRPs were compared against unreinforced PLA which. It has been demonstrated that CRPs with twisted Kevlar was able to achieve significant increment in Ultimate tensile strength (+179.7%, 104.64MPa), maximum tensile strain (+257%, 5.384%) and relative similar Young’s modules (3.29GPa)...

Springer Proceedings in Physics, 2021

Water leakage control is a subject of growing interest among researchers and pipeline owners. Var... more Water leakage control is a subject of growing interest among researchers and pipeline owners. Various water leak detection methods have been developed and acoustic leak detection technique has manifested as a decent approach. However, the demerit of this method is that the collected signal always interferes with noises. This reduces the accuracy of leak detection and triggers a false alarm. Traditional noise reduction methods such as digital filtering and wavelet de-noising are not efficient to eliminate noise from interested signals. To overcome this drawback, an improved denoising method derived from Dual-Tree Complex Wavelet Transform (DTCWT) and a soft threshold proposed in this paper to reduce the noise and consequently minimize false trip rate. The signal is decomposed by DTCWT to separate the raw signal into different frequency bandwidths. Then, soft threshold method is employed to suppress noise by rescaling the signals which are lower than the prescribed threshold to zero. Experimental results demonstrate that the proposed de-noising method performs well than ordinary wavelet de-noising. The accuracy of leak localisation can be increased by twice. The method accentuates the cross-correlation peak related to the time delay for leak localization and thereupon increases the accuracy of leak locating. The proposed method outperforms other methods in term of detectable range of leak source as it can detect leak up to 24 m whereas the conventional way only can detect up to 14.5 m.

Recent advances in 3D printed membranes for water applications

60 Years of the Loeb-Sourirajan Membrane

A review on metallic and ceramic material extrusion method: Materials, rheology, and printing parameters

Journal of Manufacturing Processes

Design Optimization of Full Vehicle Suspension Based on Ride and Handling Performance

Lecture Notes in Electrical Engineering, 2012

ABSTRACT

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2019

A new method based on constraint multi-objective optimization using evolutionary algorithms is pr... more A new method based on constraint multi-objective optimization using evolutionary algorithms is proposed to optimize the powertrain design of a battery electric formula vehicle with an all-wheel independent motor drive. The electric formula vehicle has a maximum combined motor power of 80 kW, which is a constraint for delivering maximum vehicle performance with minimal energy consumption. The performance of the vehicle will be simulated and measured against different driving events, that is, acceleration event, autocross event, and endurance event. Each event demands a different aspect of performance to be delivered by the motor. The respective event lap time or energy rating will be measured for performance assessment. In this study, a non-dominated sorting genetic algorithm II and constrained multi-objective evolutionary algorithm based on decomposition by using differential evolution are employed to optimize the motor transmission ratio, motor torque scaling, and downforce scale o...

Water leak location based on improved dual-tree complex wavelet transform with soft thresholding de-noising

Applied Acoustics, 2020

Water leakage control emerges as a prime concern among researchers and water utility companies du... more Water leakage control emerges as a prime concern among researchers and water utility companies due to ever-increasing water loss level. Acoustic leak detection technique is a promising and widely used approach. Unfavorably, the deficiency of this method is that acoustic waves are interfered by undesirable noise and presence of multi-modal dispersive wave. The conventional correlation-based method assumes leak noise propagates as a single non-dispersive wave and this leads to unreliable detection method. This paper concerns on noise reduction through an improved de-noising method and leak localization by considering wave dispersion. Wavelet de-noising is a common de-noising method used in past leak detection works. But it has shortcomings of frequency aliasing and shift-variant due to DWT decomposition. Therefore, a shift-invariant Dual Tree Complex Wavelet Transform (DTCWT) is introduced here to substitute DWT for wavelet de-noising. DTCWT will decompose the signal into several band...

Journal of Renewable Materials, 2020

Polylactic acid (PLA) bioplastic is a common material used in Fused Deposition Modeling (FDM) 3D ... more Polylactic acid (PLA) bioplastic is a common material used in Fused Deposition Modeling (FDM) 3D printing. It is biodegradable and environmentally friendly biopolymer which made out of corn. However, it exhibits weak mechanical properties which reduced its usability as a functional prototype in a real-world application. In the present study, two PLA composites are created through coextruded with 3K carbon fibres and twisted Kevlar string (as core fibre) to form a fibre reinforced parts (FRP). The mechanical strength of printed parts was examined using ASTM D638 standard with a strain rate of 1 mm/min. It has been demonstrated that the FRPs coextruded with 3K carbon fibres had achieved significant improvement in Young's modulus (+180.6%, 9.205 GPa), ultimate tensile strength (+175.3%, 103 MPa) and maximum tensile strain (+21.6%, 1.833%). Although the Young's modulus of Kevlar FRP was found to be similar to as compared to unreinforced PLA (~3.29 GPa), it has gained significant increment in terms of maximum tensile strain (+179.7%, 104.64 MPa), and maximum tensile strain (+257%, 5.384%). Thus, this study revealed two unique composite materials, in which the 3K carbon FRP can offer stiff and high strength structure while Kevlar FRP offers similar strength but at a higher elasticity.

Progress of 3D printed feed spacers for membrane filtration

Materials Today: Proceedings

IOP Conference Series: Earth and Environmental Science, Jul 2, 2019

Water leakage is one of the important agendas across the globe thus several effectual systems for... more Water leakage is one of the important agendas across the globe thus several effectual systems for leakage detection had been developed with the aim to improve sustainable use of water. Among the methods, acoustic leak detection technique had been proven as a promising approach to detect and localize leaks in water or gas pipeline. However, existence of noise in acoustic signals complicated the leak detection practices. Traditional de-noising methods like filtering and wavelet de-noising are not suitable for non-stationary and broadband acoustic signals. Therefore, Dual Tree Complex Wavelet Transform (DTCWT) is applied in this paper to reduce acoustic noise and decompose signals into several frequency bands. DTCWT decomposition is intended to resolve the problem encountered by the typical correlation-based leak localization method. Due to dispersive and frequency-dependent nature of wave propagation, correlation-based method normally assumes constant wave velocity which results in inaccurate leak source localization. In this paper, signal will be de-noised and decomposed by employing DTCWT. Wave velocity is evaluated based on the dominant frequency and dispersion curve. Then, time delay can be estimated via comparison study among cross correlation, CWT localization and convolution. CWT localization and convolution are proposed as new time-delay estimation method attributable to enhance localization accuracy. Experimental results validated that the proposed method, DTCWT-correlation outperforms other methods with a localization error of 4.67 %. Both CWT localization and convolution are also capable to pinpoint the location of leaks. Besides, leaking and non-leaking condition can be differentiated after multilevel decomposition of DTCWT.

Formula 1 is considered an important motorsport event that has driven the development of cutting-... more Formula 1 is considered an important motorsport event that has driven the development of cutting-edge automotive technology. Similarly, virtual formula competition is introduced at the university level to harness technological advances for automotive development among universities. Performance and fuel efficiency have always been two conflicting objectives in determining the optimal powertrain design. In this paper, state-of-the-art multi-objective evolutionary algorithms (MOEAs) are employed to optimize the vehicle powertrain design based on competing event and the ontrack performance through software in-the-loop optimization approach. Unlike conventional powertrain optimization approach where the powertrain design is optimized again standard urban driving profiles to achieve optimum driving performance and fuel consumption which is not suitable to be employed to optimize race car powertrain design. The powertrain design is optimized and benchmarked in multiple dynamic test events i.e. Acceleration, Autocross and Endurance. Each event measures different performance parameters (i.e. lap time and fuel consumption) A total of nine design parameters are optimized in this study. Three design parameters (employed to formulate the progressive gear calculation of six gear ratios), five gear shifting rpm (revolutions per minute) and an aerodynamic downforce scale value (for front and rear downforce). Two stages of optimization solution are proposed to handle such complicated design requirement. NSGA-II was identified as the most efficient algorithms among the MOEAs employed in this study; especially in terms of computational time, Pareto distribution and Pareto design. Overall, the optimized powertrain design showed significant improvement in all events i.e. energy efficiency was increased by 13.7% for the endurance event while lap time was reduced by 0.7 and 1.2% in the acceleration and autocross events, respectively.

Handling performance optimisation for formula vehicle using multi-objectives evolutionary algorithms

Vehicle System Dynamics

A method based on constraint multi-objective evolutionary algorithms approach is proposed to opti... more A method based on constraint multi-objective evolutionary algorithms approach is proposed to optimise the handling performance of a race car dynamic. This involves a software-in-the-loop optimisation (SiLO) between a high-fidelity model of a formula vehicle modelled in VI-Grade and MATLAB for hosting the optimisation algorithms. The optimisation process involves the tuning of the suspension design variables, i.e. spring stiffness, anti-roll bar stiffness, damper coefficient, toe angle, and camber angle for both front and rear suspensions against eight objectives functions, i.e. sideslip overshoot, yaw rate overshoot, linear understeer gradient, limit understeer gradient, maximum lateral acceleration, yaw rate phase delay and lateral acceleration phase delay. A custom constraint function was introduced to improve the convergence speed of the optimisation process. The optimised result showed a promising increase in handling performances, i.e. the maximum achievable lateral acceleration has increased by 8.9% whilst maintaining the stability of the vehicle close to neutral steer behaviour. The sideslip angle was well controlled under 1 deg at 95% of maximum lateral acceleration, and slip angle overshoot has improved by 1.65% in step steer manoeuvre. Additionally, the skid-pad events and autocross event laps time were reduced by 5.19% and 1.71%, respectively.

IOP Conference Series: Earth and Environmental Science

3D printing employed in additive manufacturing, converts digital data based on a computer-aided d... more 3D printing employed in additive manufacturing, converts digital data based on a computer-aided design (CAD) model into an object by adding material layer by layer. Unlike subtractive manufacturing, complex geometries can be printed with minimal wastage. The additive manufacturing process for 3D printers features several types of technology ranging from fused deposition modelling (FDM), laser sintering, stereolithography and laser melting to binder jetting and others. However, these technologies are limited to process one material at a time, which poses a challenge to print functionally graded material (FGM). This difficulty can be overcome by offering a unique solution which is proposed in this paper - by applying FDM customized with an extrusion screw to incorporate mixing and blending of the polymer matrix and filler as a continuous process during printing. The intent of this technique is to ease the production of FGMs (which vary in mechanical, electrical and texture gradually o...

Degating of AlSi10Cu2Fe High-Pressure Die Casting Component Using Resonance Vibration Technique

International Journal of Metalcasting

The high-pressure die casting process is meant for high volume production rate mainly used in the... more The high-pressure die casting process is meant for high volume production rate mainly used in the automotive industry. An efficient method to separate the die-cast components from the main sprue and runner system is crucial to improving the productivity of the manufacturing processes. Conventionally casting components are often separated with the use of a grinding wheel machine, trimming machine or pneumatic hammer. Often these techniques require customized machine design in trimming the cast part as each die casting gate design might be different from one another, especially when there is a change in production cast model. This may incur higher set-up cost and additional configuration time. It is unfavourable in the manufacturing production line that handles small batch high variation of casting model in the small/medium casting industry. Thus, this paper introduced an alternative degating technique with the use of a shaker machine to match the resonance of the casting component natural frequency to separate the die-cast component from the casting tree. The proposed method can overcome the drawback of the conventional method by eliminating the additional configuration time required when there is a change in different casting part design. Die casting parts employed in this study were constructed by AlSi10Cu2Fe aluminium alloy. Experimental modal analysis was performed to verify the natural frequency calculated through finite element analysis. The correlated finite element model was then employed for harmonic response analysis to compute the frequency response of input excitation location against output stress response at the gate. The results from the analysis showed that the first natural frequency mode could induce a bending mode at the gate and created the highest stress concentration at the location. Next, an experiment was carried out by exciting the first natural frequency to the casting part using a shaker machine. In the experiment, the die-cast components were able to break away within 0.31 s at its first natural frequency. This observation was found to be in agreement with the simulation results, whereby the degating time of 0.27 s was obtained. Therefore, the present study has shown that an efficient degating of casting components process can be achieved via introducing a correct mode of vibration excitation.