Piezo-beam Structure in a Pipe with Turbulent Flow as Energy Harvester: Mathematical Modeling and Simulation

Yadav, Mohit; Kumar, Surendra; Kaushik, Ashish; Chhabra, Deepak

doi:10.1007/s40033-022-00440-z

Cited by 11 publications

(4 citation statements)

References 23 publications

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“…Going above unique dependability, lately, several novel reliability techniques have been created to be employed in investigations (Yadav et al, 2022). It provides a methodology to assess the reliability and trustworthiness of IoT systems over time (ROPT).…”

Section: Device Reliabilitymentioning

confidence: 99%

“…Based on the findings, propose recommendations and solutions to improve reliability in each area. This could include hardware upgrades, network optimization strategies, data validation protocols, software/firmware updates, power management enhancements, or redundancy implementations Yadav et al, , 2021bYadav et al, , 2023Yadav, 2020). Implement the proposed solutions and validate their effectiveness through testing and monitoring.…”

Section: Case Study For Service Reliability Of Iotmentioning

confidence: 99%

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Reliability on the Internet of Things with designing approach for exploratory analysis

Singh,

Yadav,

Singh

et al. 2024

Front. Comput. Sci.

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The Internet of Things (IoT) proposes to transform human civilization so that it is smart, practical, and highly efficient, with enormous potential for commercial as well as social and environmental advantages. Reliability is one of the major problems that must be resolved to enable this revolutionary change. The reliability issues raised with specific supporting technologies for each tier according to the layered IoT reliability are initially described in this research. The research then offers a complete review and assessment of IoT reliability. In this paper, various types of reliability on the IoT have been analyzed with each layer of IoT to solve the issues of failure rates, latency, MTTF, and MTBF. Each parameter has a certain classification and perception as well as enhancement in efficiency, accuracy, precision, timeliness, and completeness. Reliability models provide efficient solutions for different IoT problems, which are mirrored in the proposed study and classified with four types of reliabilities. The field of IoT reliability exploration is still in its initial phases, despite a sizable research record. Furthermore, the recent case study of CHISS is elaborated with discovered behaviors including brand-new aspects such as the multifaceted nature of evolving IoT systems, research opportunities, and difficulties.

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Section: Device Reliabilitymentioning

confidence: 99%

Section: Case Study For Service Reliability Of Iotmentioning

confidence: 99%

Reliability on the Internet of Things with designing approach for exploratory analysis

Singh,

Yadav,

Singh

et al. 2024

Front. Comput. Sci.

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“…ANSYS-mechanical workbench platform avails different optimization tools, TO is one that follows a mathematical solver-based approach to have best material arrangement for provided design domain, loads, constraints and objective function (Yadav et al, 2022). In the ANSYS workbench, the project schematic is patched with a static structural analysis domain can be added manually to create a new library by defining the basic properties as density, Poisson's ratio and Young's modulus (Table 1).…”

Section: Structural Simulation and Topology Optimizationmentioning

confidence: 99%

Multidisciplinary topology and material optimization approach for developing patient-specific limb orthosis using 3D printing

Kumar

Chhabra

2023

RPJ

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Purpose This study aims to explore the potential benefits favoring the adaptation of structural optimization techniques in the additive manufacturing (AM) of medical utilities to meet the repetitive demand for functionally precise customized orthoses. Irregularities encountered during the conventional treatment of tendon injuries can be eschewed using advanced structural simulation in design and innovative splint fabrication using 3D printing. Design/methodology/approach A customized mallet finger splint designed from 3D scans was subjected to ANSYS topological simulation comprising multi-level weight reduction to retain optimal mass (100%, 90%, 80%, 70% and 60%). A batch of the four typical 3D printing materials was chosen to conduct a comparative mechanical and thermal stress analysis, facilitating the selection of the optimal one for fabricating functionally adaptive splints. Assurance of structural safety was accomplished through the experimental validation of simulation results against the testing data set of ASTM D695 and ASTM D638 Type-1 specimens over a universal testing machine (UTM). Fused deposition modeling (FDM) 3D printing processed the optimized splint fabrication to assist evaluation of weight reduction percentage, fitting aesthetics, appearance, comfort, practicality and ventilation ease at the user end. Findings AM efficacy can efficiently execute the design complexity involved in the topology optimization (TO) results and introduces rehabilitation practicality into the application. Topologically optimized splint provided with favorable comfort, stiffness and strengthening features, offers ventilation ease and structural stability for customized appliances, with 30.52% lighter weight and 121.37% faster heat dissipation than unoptimized one. Originality/value The state of art multidisciplinary optimization featured with structural and material optimization attributes can deliberately meet medical necessity for performance-oriented orthotic devices.

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“…The corresponding dependability event is then returned by constructing an RBD datatype semantic function that is capable of decoding the RBD configuration supplied by these type constructors. Due to a system or part not failing within a particular period, this reliability event occurs [32][33][34][35]. Any combination of parallel as well as series RBD configurations may be accepted with ease by the suggested formalization technique since it is compositional by nature [36][37][38][39].…”

Section: Figure 3 Motivation and Goals Of Iot Systemsmentioning

confidence: 99%

Parametric Evaluation Techniques for Reliability of Internet of Things (IoT)

Singh¹,

Singh²,

Barak³

et al. 2023

IJCMEM

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Reliability analysis aims to assess the dependability and performance of a system over time, considering factors such as device failures, communication issues, and data integrity. By integrating taxonomy and reliability analysis, researchers can systematically analyze and enhance the reliability of IoT systems by addressing specific components and categories identified in the taxonomy. IoT based on its reliable applications is classified among various categories such as smart home devices, smart watches, electric vehicles with IoT capabilities, industrial, healthcare, agriculture, soil monitoring sensors, smart city infrastructure, environmental monitoring devices, and smart energy management devices. The need for a consistent taxonomy was one of the problems recognized and examined in this paper even though IoT management technology is developing. To examine the reliability analysis of IoT systems, we created a brand-new taxonomy for IoT gadgets that places a strong focus on administration. We have released a completely new IoT reliability RBD model analysis at different gateways and Round-Trip Time is to be analyzed. It features an aircraft for dependability. Our goal is to help administrators of networks, as well as designers, put processes in place that will analyze and enhance the reliability of IoT systems. To implement techniques to increase the IoT system's reliability, we may utilize the management capabilities to keep an eye on the devices. ChatGPT can act as the conversational interface for ISABELA. By integrating ChatGPT with ISABELA's functionality, users can have natural language conversations with ISABELA, making the interaction more intuitive and user-friendly. A use case study of ISABELA has enhanced the position of the CHATGPT system in the IoT system which increase the efficiency and reliability of IoT designs and networks.

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Piezo-beam Structure in a Pipe with Turbulent Flow as Energy Harvester: Mathematical Modeling and Simulation

Cited by 11 publications

References 23 publications

Reliability on the Internet of Things with designing approach for exploratory analysis

Reliability on the Internet of Things with designing approach for exploratory analysis

Multidisciplinary topology and material optimization approach for developing patient-specific limb orthosis using 3D printing

Parametric Evaluation Techniques for Reliability of Internet of Things (IoT)

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