Wazed Ibne Noor - Profile on Academia.edu (original) (raw)

Wazed Ibne Noor

I am an Engineer at heart and Mechanical Engineer by educational qualification. I have a penchant for multidisciplinary research that provides innovative solution and contributes to knowledge creation. My passion lies in the field of Artificial Intelligence and Machine Learning based multidisciplinary research. I want to establish myself as an expert in the world of Smart Micromanufacturing. My desire is to actively participate and lead research in this field, working with top industry/academic professionals and facilities around the world.

I am currently employed as a full-time lecturer at the Department of Mechanical Engineering at University of Creative Technology Chittagong(UCTC). I was formerly employed as a Graduate Research Assistant in a project funded by the Ministry of Higher Education Malaysia. The project was titled "Modeling and Experimental Investigation on Laser-micro Electro discharge machining based hybrid microfabrication process”. The focus of my research work was implementing a Machine Learning-based predictive model for the said hybrid micromachining process. The predictive model takes in the input parameters for the laser micromachining process and then predicts the performance parameters of the hybrid process in two stages. The model also can take in multiple inputs while predicting multiple outputs simultaneously. The model’s overall prediction accuracy was found to be approximately 87%, 89%, and 90 % for micro-EDM machining time, short circuit/arcing count, and tool wear, respectively. Therefore, this model may help select LBMM parameters for sustainable machining so that a low energy level is used for the pilot hole machining. Thus, the proposed model consequently offers excellent value to the manufacturing industries and for a user even though he/she is not an expert. I have published my MS thesis in the International Journal of Advanced Manufacturing Technology(SCIE-indexed(Web of Science), Impact factor-3.4). Apart from that I have made 8 other publications where I contributed as either first/co-author. They were all published in SCIE-indexed(Web of Science) or SCOPUS-indexed journals.

I have also worked with Reinforcement Learning to model stock price behavior and train an agent to take intelligent actions in a stock market environment.
Supervisors: Dr. Tanveer Saleh and Dr. Azhar Mohd Ibrahim
Address: Chittagong, Bangladesh

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Papers by Wazed Ibne Noor

Research paper thumbnail of Electrochemical machining for microfabrication

Research paper thumbnail of Dual-Stage Artificial Neural Network (Ann) Model for Sequential Lbmm-μedm Based Micro Drilling

A sequential process combining laser beam micromachining(LBMM) and micro electrodischarge machini... more A sequential process combining laser beam micromachining(LBMM) and micro electrodischarge machining (μEDM) for the micro-drilling purpose was developed to incorporate both methods' benefits. In this sequential process, a guiding hole is produced through LBMM first, followed by μEDM applied to that same hole for more fine machining. This process facilitates a more stable, efficient machining regime with faster processing (compared to pure μEDM) and much better hole quality (compared to LBMMed holes). Studies suggest that strong correlations exist between the various input and output parameters of the sequential process. However, a mathematical model that maps and simultaneously predicts all these output parameters from the input parameters is yet to be developed. Our experimental study observed that the μEDM finishing operation's various output parameters are influenced by the morphological condition of the LBMMed holes. Hence, an artificial neural network(ANN) based dual-sta...

Research paper thumbnail of Development of an Active Fixture for Ultrasonically Assisted Micro Electro-Discharge Machining

2019 7th International Conference on Mechatronics Engineering (ICOM), Oct 1, 2019

Micromachining technologies have enjoyed a recent resurgence due to massive demands in many engin... more Micromachining technologies have enjoyed a recent resurgence due to massive demands in many engineering, production and manufacturing sectors. Micro Electric Discharge Machining (μ-EDM) is one of the most popular techniques available to produce microscopic features and components for various industries. This technique can ensure better machining performance in terms of reduced Heat Affected Zones and surface finishing. It also comes with inherent disadvantages such as high machining time, low material removal rate (MRR) and unstable machining. To overcome these factors vigorous flushing of dielectric fluid is performed. The flushing is achieved through

Research paper thumbnail of Effect of Laser Parameters on Sequential Laser Beam Micromachining and Micro Electro-Discharge Machining

Laser beam micromachining (LBMM) and micro electro-discharge machining (µEDM) based sequential mi... more Laser beam micromachining (LBMM) and micro electro-discharge machining (µEDM) based sequential micromachining technique, LBMM-µEDM has drawn signi cant research attention to utilizing the advantages of both methods, i.e. LBMM and µEDM. In this process, a pilot hole is machined by the LBMM and subsequently nishing operation of the hole is carried out by the µEDM. This paper presents an experimental investigation on the stainless steel (type SS304) to observe the effects of laser input parameters (namely laser power, scanning speed, and pulse frequency) on the performance of the nishing technique that is the µEDM in this case. The scope of the work is limited to 1-D machining, i.e. drilling micro holes. It was found that laser input parameters mainly scanning speed and power in uenced the output performance of µEDM signi cantly. Our study suggests that if an increased scanning speed at a lower laser power is used for the pilot hole drilling by the LBMM process, it could result in signi cantly slower µEDM machining time. On the contrary, if the higher laser power is used with even the highest scanning speed for the pilot hole drilling, then µEDM processing time was faster than the previous case. Similarly, µEDM time was also quicker for LBMMed pilot holes machined at low laser power and slow scanning speed. Our study con rms that LBMM-µEDM based sequential machining technique reduces the machining time, tool wear and instability (in terms of short circuit count) by a margin of 2.5 x, 9 x and 40 x respectively in contrast to the pure µEDM process without compromising the quality of the holes.

Research paper thumbnail of Electrochemical machining for microfabrication

Research paper thumbnail of Dual-Stage Artificial Neural Network (Ann) Model for Sequential Lbmm-μedm Based Micro Drilling

A sequential process combining laser beam micromachining(LBMM) and micro electrodischarge machini... more A sequential process combining laser beam micromachining(LBMM) and micro electrodischarge machining (μEDM) for the micro-drilling purpose was developed to incorporate both methods' benefits. In this sequential process, a guiding hole is produced through LBMM first, followed by μEDM applied to that same hole for more fine machining. This process facilitates a more stable, efficient machining regime with faster processing (compared to pure μEDM) and much better hole quality (compared to LBMMed holes). Studies suggest that strong correlations exist between the various input and output parameters of the sequential process. However, a mathematical model that maps and simultaneously predicts all these output parameters from the input parameters is yet to be developed. Our experimental study observed that the μEDM finishing operation's various output parameters are influenced by the morphological condition of the LBMMed holes. Hence, an artificial neural network(ANN) based dual-sta...

Research paper thumbnail of Development of an Active Fixture for Ultrasonically Assisted Micro Electro-Discharge Machining

2019 7th International Conference on Mechatronics Engineering (ICOM), Oct 1, 2019

Micromachining technologies have enjoyed a recent resurgence due to massive demands in many engin... more Micromachining technologies have enjoyed a recent resurgence due to massive demands in many engineering, production and manufacturing sectors. Micro Electric Discharge Machining (μ-EDM) is one of the most popular techniques available to produce microscopic features and components for various industries. This technique can ensure better machining performance in terms of reduced Heat Affected Zones and surface finishing. It also comes with inherent disadvantages such as high machining time, low material removal rate (MRR) and unstable machining. To overcome these factors vigorous flushing of dielectric fluid is performed. The flushing is achieved through

Research paper thumbnail of Effect of Laser Parameters on Sequential Laser Beam Micromachining and Micro Electro-Discharge Machining

Laser beam micromachining (LBMM) and micro electro-discharge machining (µEDM) based sequential mi... more Laser beam micromachining (LBMM) and micro electro-discharge machining (µEDM) based sequential micromachining technique, LBMM-µEDM has drawn signi cant research attention to utilizing the advantages of both methods, i.e. LBMM and µEDM. In this process, a pilot hole is machined by the LBMM and subsequently nishing operation of the hole is carried out by the µEDM. This paper presents an experimental investigation on the stainless steel (type SS304) to observe the effects of laser input parameters (namely laser power, scanning speed, and pulse frequency) on the performance of the nishing technique that is the µEDM in this case. The scope of the work is limited to 1-D machining, i.e. drilling micro holes. It was found that laser input parameters mainly scanning speed and power in uenced the output performance of µEDM signi cantly. Our study suggests that if an increased scanning speed at a lower laser power is used for the pilot hole drilling by the LBMM process, it could result in signi cantly slower µEDM machining time. On the contrary, if the higher laser power is used with even the highest scanning speed for the pilot hole drilling, then µEDM processing time was faster than the previous case. Similarly, µEDM time was also quicker for LBMMed pilot holes machined at low laser power and slow scanning speed. Our study con rms that LBMM-µEDM based sequential machining technique reduces the machining time, tool wear and instability (in terms of short circuit count) by a margin of 2.5 x, 9 x and 40 x respectively in contrast to the pure µEDM process without compromising the quality of the holes.