Performance optimization of a novel passive T-shaped micromixer with deformable baffles

Talebjedi, Bahram; Ghazi, Mahan; Tasnim, Nishat; Janfaza, Sajjad; Hoorfar, Mina

doi:10.1016/j.cep.2021.108369

Cited by 25 publications

(10 citation statements)

References 58 publications

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“…Passive micromixing is a popular type of micromixer that requires no external energy. Instead, passive micromixers predominantly rely on the structural shape design within the microchannel and the inlet flow rate of reactants to achieve the mixing of reactants [45,63,64]. Adequate mixing is achieved using passive micromixers by incorporating complex geometry structures that are designed and fabricated within the microchannel [45].…”

Section: Micromixer Type Main Findings/mixing Methods Of Fluid Flow Y...mentioning

confidence: 99%

Enhancing Biodiesel Production: A Review of Microchannel Reactor Technologies

Subramaniam,

Wong,

Wong

et al. 2024

Energies

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The depletion of fossil fuels, along with the environmental damages brought by their usage, calls for the development of a clean, sustainable and renewable source of energy. Biofuel, predominantly liquid biofuel such as biodiesel, is a promising alternative to fossil fuels, due to its compatible direct usage within the context of compression ignition engines. However, the industrial production of biodiesel is far from being energy and time efficient, which contributes to its high production cost. These inefficiencies are attributed to poor heat and mass transfer of the transesterification reaction. The utilisation of microchannel reactors is found to be excellent in escalating heat and mass transfer of the reactants, benefitting from their high surface area-to-volume ratio. The microchannel also intensifies the mixing of reactants via the reactor design, micromixers and the slug flow patterns within the reactor, thus enhancing the contact between reactants. Simulation studies have aided in the identification of mixing regimes within the microchannel reactors, induced by various reactor designs. In addition, microwave irradiation heating is found to enhance biodiesel production by localised superheating delivered directly to the reactants at a molecular level. This enables the reaction to begin much earlier, resulting in rapid biodiesel production. It is postulated that the synergy between microchannel reactors and microwave heating would catapult a pathway towards rapid and energy-efficient biodiesel production by enhancing heat and mass transfer between reactants.

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Section: Micromixer Type Main Findings/mixing Methods Of Fluid Flow Y...mentioning

confidence: 99%

Enhancing Biodiesel Production: A Review of Microchannel Reactor Technologies

Subramaniam,

Wong,

Wong

et al. 2024

Energies

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“…Combining neural networks with optimization algorithms can provide a robust optimization platform for microfluidic systems. The multi-objective heuristic optimization approaches have shown their superiority in tuning the operating parameters and design optimization of microfluidic devices ( Talebjedi et al, 2021c ). In this study, for identifying the optimum combination of the design factors for minimum reflection coefficient and quality factor, the trained neural network model was used in connection with NSGA-II multi-objective genetic algorithm.…”

Section: Methodsmentioning

confidence: 99%

Neural Network-Based Optimization of an Acousto Microfluidic System for Submicron Bioparticle Separation

Talebjedi

Heydari

Taatizadeh

et al. 2022

Front. Bioeng. Biotechnol.

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The advancement in microfluidics has provided an excellent opportunity for shifting from conventional sub-micron-sized isolation and purification methods to more robust and cost-effective lab-on-chip platforms. The acoustic-driven separation approach applies differential forces acting on target particles, guiding them towards different paths in a label-free and biocompatible manner. The main challenges in designing the acoustofluidic-based isolation platforms are minimizing the reflected radio frequency signal power to achieve the highest acoustic radiation force acting on micro/nano-sized particles and tuning the bandwidth of the acoustic resonator in an acceptable range for efficient size-based binning of particles. Due to the complexity of the physics involved in acoustic-based separations, the current existing lack in performance predictive understanding makes designing these miniature systems iterative and resource-intensive. This study introduces a unique approach for design automation of acoustofluidic devices by integrating the machine learning and multi-objective heuristic optimization approaches. First, a neural network-based prediction platform was developed to predict the resonator’s frequency response according to different geometrical configurations of interdigitated transducers In the next step, the multi-objective optimization approach was executed for extracting the optimum design features for maximum possible device performance according to decision-maker criteria. The results show that the proposed methodology can significantly improve the fine-tuned IDT designs with minimum power loss and maximum working frequency range. The examination of the power loss and bandwidth on the alternation and distribution of the acoustic pressure inside the microfluidic channel was carried out by conducting a 3D finite element-based simulation. The proposed methodology improves the performance of the acoustic transducer by overcoming the constraints related to bandwidth operation, the magnitude of acoustic radiation force on particles, and the distribution of pressure acoustic inside the microchannel.

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“…The addition of obstacles and the disordered design of the walls of devices right after the entrance region have been usually adopted for disturbing the flow along the microchannel, inducing the entanglement of the streamlines until the exit. A large amount of 3D micromixers with curved walls and obstacles that split and recombine streams have been studied for this purpose (Cetkin and Miguel, 2019;Chen et al, 2022;Kurnia et al, 2022;Talebjedi et al, 2021;Viktorov et al, 2016). For instance, Wang et al (2021) proposed to work with a simple structure of a serpentine micromixer with elliptic curves to evaluate the mixing index with minimization of the pressure drop.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the mixing index in a micromixer of side feeds in a conical chamber

Neves,

Amaral,

Klein

et al. 2024

Chemical Engineering and Processing - Process Intensification

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Performance optimization of a novel passive T-shaped micromixer with deformable baffles

Cited by 25 publications

References 58 publications

Enhancing Biodiesel Production: A Review of Microchannel Reactor Technologies

Enhancing Biodiesel Production: A Review of Microchannel Reactor Technologies

Neural Network-Based Optimization of an Acousto Microfluidic System for Submicron Bioparticle Separation

Evaluation of the mixing index in a micromixer of side feeds in a conical chamber

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