Zuradzman Mohamad Razlan
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Preferred name
Zuradzman Mohamad Razlan
Official Name
Zuradzman, Mohamad Razlan
Alternative Name
Razlan, Zuradzman Mohamad
Zuradzman, M. R.
Razlan, Zuradzman M.
Main Affiliation
Scopus Author ID
55178487200
Researcher ID
AAU-4508-2020

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Heat transfer improvement in simulated small battery compartment using metal oxide (CuO)/deionized water nanofluid

2020-02-01 , Bin-Abdun N.A. , Zuradzman Mohamad Razlan , Shahriman Abu Bakar , Voon Chun Hong , Ibrahim Z. , Wan Khairunizam Wan Ahmad , Mohd Ridzuan Mohd Jamir

Improving the heat transfer coefficient of working fluids is essential for achieving the best performance of manufacturing systems. As a replacement of conventional working fluids, nanofluids have a high potential for improving this heat transfer coefficient. However, nanofluids are seldom implemented in actual systems, and several factors should be considered before actual application. Accordingly, this study investigated the thermophysical properties and heat transfer rate of CuO/deionized water nanofluid with and without sodium dodecyl sulfate (SDS) surfactants. Three different volumetric concentrations of the nanofluid were prepared using a two-step preparation method. The experimental steps were divided into two phases: static and dynamic. In these experiments, the thermophysical properties of the prepared nanofluids and the heat transfer coefficient were measured using an apparatus designed based on an actual heat exchanger for a lithium ion polymer battery compartment. The effects of flow rate and surfactants on the heat transfer rate of the nanofluids with varying volumetric concentrations of 0.08%, 0.16%, and 0.40% were analyzed. The results indicate that the heat transfer rate increases considerably as the flow rate increases from 0.5 L/min to 1.2 L/min and with the presence of surfactants. The highest heat transfer rate was obtained at a 0.40% volumetric concentration of CuO/deionized water nanofluid with SDS surfactant.

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Path tracking simulation of the buggy car by using Fuzzy information of the steering wheel

2020-01-01 , Halin H. , Wan Khairunizam Wan Ahmad , Haris H. , Zunaidi I. , Bakar S.A. , Zuradzman Mohamad Razlan , Wan Azani Wan Mustafa

The steering wheel control is the method used for the navigation of an autonomous vehicle. In order to control the autonomous vehicle, the steering wheel controller must be able to adapt as the road condition and surrounding environment can change abruptly. The existed autonomous system currently in the testing phase. The system still needs to improve because there is some report regarding an accident caused by the test autonomous vehicles. The aim of this research is to implement the human driving capability into the Fuzzy controller. One of the human capabilities is the ability to make a decision based on the current situation. The fuzzy system is developed based on human driving data while controlling a buggy car. The experiments used to collect data such as position, speed, heading and steering wheel angle. Data then use to develop the membership function for the fuzzy inputs and output. The simulation is performed in order to study the performance of the Fuzzy controller. The performance of the Fuzzy controller is satisfactory and can be improved. The maximum path tracking error recorded is 9 m and 7.5 m for right and left turn simulations.

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A review of the application and effectiveness of heat storage system using phase change materials in the built environment

2021-05-03 , Ibrahim Z. , Newby S. , Hassani V. , Ya'akub S.R. , Shahriman Abu Bakar , Zuradzman Mohamad Razlan , Wan Khairunizam Wan Ahmad

Global warming is the most significant threat that civilization faced within the 21st century. Buildings, which account for 40% of global consumption of energy and greenhouse gas emissions, play a key role in global warming. It is estimated that their destructive impact will grow by 1.8 percent per year by 2050, indicating that future energy consumption and emissions will be more critical than they are today. Therefore, the use of a latent heat storage system using phase change materials (PCM) is one of the effective ways of storing thermal energy and has the advantages of high-energy storage density and the isothermal nature of the storage process. PCM has been widely used in latent heat thermal storage systems for heat pumps, solar engineering, and spacecraft thermal control applications. Thermal energy conservation by latent heat is an ideal way to increase the thermal inertia of building envelopes, which would minimize temperature fluctuations, contributing to increased occupants' thermal comfort. For this reason, high-density PCM can be used effectively. This paper reviews recent studies of the application and effectiveness of using PCM in the built environment.

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Design optimization of exhaust manifold's bending radius for Spark Ignition (SI) engine whrough CFD analysis on low end RPM 8sing Taguchi's method

2021-05-03 , Murali R. , Shahriman Abu Bakar , Zuradzman Mohamad Razlan , Nur Saifullah Kamarrudin , Aziz I.A. , Wan Khairunizam Wan Ahmad , Ma'arof M.I.N. , Bo L.L. , Hassan M.A.S.

Backpressure is considered as an obstruction on the flow of exhaust for any internal combustion (IC) engine. The level of backpressure can affect the amount of emissions and fuel consumption and the performance of the engine. Hence, the backpressure is considered a bad factor for an engine. Even though backpressure could not be eliminated completely, it could be minimized through design optimization of exhaust system. This paper shows the effects of exhaust manifold's bending radius of 115 cc spark ignition (SI) engine on low-end RPM. The aim of this study was to optimize the bending radius of exhaust manifold in order to minimize backpressure. CFD analysis was conducted to predict the backpressure of exhaust manifold samples based on design of experiment (DOE) through Taguchi's method. From the analysis result, it is observed that bending radius which is towards the outlet is the most contributing factor to the backpressure and the optimized exhaust manifold reduces backpressure by 10.5% from the existing design. The finding shows that the optimized design offers lower backpressure which could significantly reduce negative impacts to the engine's performance.

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Simulation studies of the hybrid human-fuzzy controller for path tracking of an autonomous vehicle

2021-01-01 , Halin H. , Wan Khairunizam Wan Ahmad , Haris H. , Zuradzman Mohamad Razlan , Shahriman Abu Bakar , Zunaidi I. , Wan Azani Wan Mustafa

Human intelligence and experience help them in making a decision and recognize a pattern. This ability enables the driver to take action even in an unexpected situation. The hybrid integration between human intelligence/experience and machine controller able to improve the autonomous vehicle path tracking capability. The path tracking capability is the main concern of the autonomous vehicle. The Fuzzy developed from the experiment’s data. The experiments (human navigation experiments) used to gather the appropriate data from humans while controlling the buggy car. Data then use to develop the membership functions for inputs and output of the Fuzzy controller. The simulation uses to study the performance of the Fuzzy controller. The recorded path tracking error from the simulations for the right and left turn maneuver is 9 m and 7.5 m, respectively.

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