A ship propeller design methodology of multi-objective optimization considering fluid–structure interaction

Jiang, Jingwei; Cai, Haiwen; Ma, Chao; Qian, Zhengfang; Chen, Ke; Wu, Peng

doi:10.1080/19942060.2017.1335653

Cited by 23 publications

(12 citation statements)

References 30 publications

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“…They performed simulations and defined boundary conditions for blood flow arteries branch to/from vital organs of the abdominal and accounted for the effects of Hypertrophic cardiomyopathy (HCM) heart conditions [ 15 ]. Multi-objective optimization using various genetic algorithms have been investigated to enhance the efficiency and accuracy of simulations involved in designing a propeller, and ship [ 16 , 17 ]. Ship design optimization involves extensive testing and analysis of structure using complex iterative algorithms.…”

Section: Introductionmentioning

confidence: 99%

Review of Recent Metamaterial Microfluidic Sensors

Salim

Lim

2018

Sensors

186

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Metamaterial elements/arrays exhibit a sensitive response to fluids yet with a small footprint, therefore, they have been an attractive choice to realize various sensing devices when integrated with microfluidic technology. Micro-channels made from inexpensive biocompatible materials avoid any contamination from environment and require only microliter–nanoliter sample for sensing. Simple design, easy fabrication process, light weight prototype, and instant measurements are advantages as compared to conventional (optical, electrochemical and biological) sensing systems. Inkjet-printed flexible sensors find their utilization in rapidly growing wearable electronics and health-monitoring flexible devices. Adequate sensitivity and repeatability of these low profile microfluidic sensors make them a potential candidate for point-of-care testing which novice patients can use reliably. Aside from degraded sensitivity and lack of selectivity in all practical microwave chemical sensors, they require an instrument, such as vector network analyzer for measurements and not readily available as a self-sustained portable sensor. This review article presents state-of-the-art metamaterial inspired microfluidic bio/chemical sensors (passive devices ranging from gigahertz to terahertz range) with an emphasis on metamaterial sensing circuit and microfluidic detection. We also highlight challenges and strategies to cope these issues which set future directions.

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Section: Introductionmentioning

confidence: 99%

Review of Recent Metamaterial Microfluidic Sensors

Salim

Lim

2018

Sensors

186

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“…This information needs an extraordinary concentration and the models right now concentrating on these areas needs to actualize the most recent advances to foresee a few examples. The authors of [ 89 , 90 , 91 , 92 , 93 ] emphasize various social insurance framework designs that are utilized to accumulate live information from everywhere throughout the world. For this, they have utilized AI components and approaches of Big Data to propose cross breed information forecast and taking care of procedure.…”

Section: Mechanismsmentioning

confidence: 99%

A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems

Tahir

Chen

Khan

et al. 2020

Sensors

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As the expenses of medical care administrations rise and medical services experts are becoming rare, it is up to medical services organizations and institutes to consider the implementation of medical Health Information Technology (HIT) innovation frameworks. HIT permits health associations to smooth out their considerable cycles and offer types of assistance in a more productive and financially savvy way. With the rise of Cloud Storage Computing (CSC), an enormous number of associations and undertakings have moved their healthcare data sources to distributed storage. As the information can be mentioned whenever universally, the accessibility of information becomes an urgent need. Nonetheless, outages in cloud storage essentially influence the accessibility level. Like the other basic variables of cloud storage (e.g., reliability quality, performance, security, and protection), availability also directly impacts the data in cloud storage for e-Healthcare systems. In this paper, we systematically review cloud storage mechanisms concerning the healthcare environment. Additionally, in this paper, the state-of-the-art cloud storage mechanisms are critically reviewed for e-Healthcare systems based on their characteristics. In short, this paper summarizes existing literature based on cloud storage and its impact on healthcare, and it likewise helps researchers, medical specialists, and organizations with a solid foundation for future studies in the healthcare environment.

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“…The optimization procedure is presented in Figure 2. The procedure is similar to that presented in Ezhilsabareesh et al (2018) and Jiang et al (2018), although applied on a different turbine type. The following sections will describe the different blocks presented in Figure 2 in some detail, and how they interact.…”

Section: The Optimization Proceduresmentioning

confidence: 99%

“…Another, newer, optimization strategy is the evolutionary algorithm. The method mimics biological populations; a randomly sampled parameter set evolves in a fashion similar to how populations evolve through generations (Jiang et al, 2018;Vikhar, 2016). Recently, artificial/computational intelligence (CI) or machine learning methods have received much attention; e.g.…”

Section: Optimizationmentioning

confidence: 99%

Optimization procedure for variable speed turbine design

Tengs

Storli

Holst

2018

Engineering Applications of Computational Fluid Mechanics

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This article outlines a design procedure for variable speed Francis turbines using optimization software. A fully parameterized turbine design procedure is implemented in MATLAB . ANSYS CFX is used to create hill diagrams for each turbine design. An operation mode of no incidence losses is chosen, and the mean efficiency in the range ±20% of the best efficiency point is used as optimization criterion. This characteristic is extracted for each design, and optiSLang is used for system coupling and optimization. In the global optimization loop, the downhill simplex method is used to maximize the turbine performance. For this article, the bounding geometry of the runner is kept as in the original configuration. This way, the performance of the different variable speed turbines can be compared directly. Two optimization parameters describing the blade leading-edge geometry have been used in the optimization procedure. The resulting design was an almost circular leading edge, and shows an increase in mean efficiency of 0.25% compared to the reference case. There was a significant change in the turbine performance, with close to no change at the best efficiency point, and an increase in efficiency of almost 1% at low rotational speed. The outlined procedure is parallelizable and can be performed within an industrial timeframe. ARTICLE HISTORY

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A ship propeller design methodology of multi-objective optimization considering fluid–structure interaction

Cited by 23 publications

References 30 publications

Review of Recent Metamaterial Microfluidic Sensors

Review of Recent Metamaterial Microfluidic Sensors

A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems

Optimization procedure for variable speed turbine design

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