Virtual prototyping through multisoftware integration for energy harvester design

Tornincasa, Stefano; Bonisoli, Elvio; Monaco, F.

doi:10.1177/1045389x13512190

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…-by implementing multi-software frameworks comprising a set of specific CAD and CAE environments that have been conceived as stand-alone [6][7][8][9][10]. A clear advantage of this method is the possibility to include special purpose tools (e.g.…”

Section: Introductionmentioning

confidence: 99%

Project-based learning of advanced CAD/CAE tools in engineering education

Berselli

Bilancia

Luzi

2020

Int J Interact Des Manuf

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The use of integrated Computer Aided Design/Engineering (CAD/CAE) software capable of analyzing mechanical devices in a single parametric environment is becoming an industrial standard. Potential advantages over traditional enduring multi-software design routines can be outlined into time/cost reduction and easier modeling procedures. To meet industrial requirements, the engineering education is constantly revising the courses programs to include the training of modern advanced virtual prototyping technologies. Within this scenario, the present work describes the CAD/CAE project-based learning (PjBL) activity developed at the University of Genova as a part of course named Design of Automatic Machines, taught at the second level degree in mechanical engineering. The PjBL activity provides a detailed overview of an integrated design environment (i.e. PTC Creo). The students, divided into small work groups, interactively gain experience with the tool via the solution of an industrial design problem, provided by an engineer from industry. The considered case study consists of an automatic pushing device implemented in a commercial machine. Starting from a sub-optimal solution, the students, supervised by the lecturers, solve a series of sequential design steps involving both motion and structural analysis. The paper describes each design phase and summarizes the numerical outputs. At last, the results of the PjBL activity are presented and commented by considering the opinions of all the parties involved.

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Section: Introductionmentioning

confidence: 99%

Project-based learning of advanced CAD/CAE tools in engineering education

Berselli

Bilancia

Luzi

2020

Int J Interact Des Manuf

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“…Accordingly, taking into consideration that the optimization was proposed to be made through the transfer functions from the small-signal model, the validation of the obtained results can be made through experimental implementations, or even through a Simscape simulation in MATLAB/Simulink as explored in [24].…”

Section: Results Validationmentioning

confidence: 99%

“…According to [24], Simulink is a simulation tool created as a block-oriented environment for physical models of different systems. Therefore, the Simscape library of Simulink is proposed as the model validation tool for the dynamic behavior of the physical converter.…”

Section: Converter Modelingmentioning

confidence: 99%

Novel Design Methodology for DC-DC Converters Applying Metaheuristic Optimization for Inductance Selection

et al. 2020

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Nowadays in modern industrial applications, where the power supply efficiency is more important than the output noise performance, DC-DC converters are widely used in order to fulfill the requirements. Yet, component selection and precise estimation of parameters can improve the converter’s performance, leading to smaller and more efficient designs. Hence, metaheuristic optimization algorithms can be applied using the mathematical model of DC-DC converters, in order to optimize their performance through an optimal inductance selection. Therefore, this work presents a novel design methodology for DC-DC converters, where the inductance selection is optimized, in order to achieve an optimal relation between the inductance size and the required energy. Moreover, a multi-objective metaheuristic optimization is presented through the Earthquake Algorithm, for parameter estimation and component selection, using the inductance of a buck DC-DC converter as a case study. The experimental results validate the design methodology, showing ripple improvement and operating power range extension, which are key features to have an efficient performance in DC-DC converters. Results also confirm the Small-Signal Model of the circuit, as a correct objective function for the parameter optimization, achieving more than 90% of accuracy on the presented behavior.

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A review of CAD to CAE integration with a hierarchical data format (HDF)-based solution

Khan

Rezwana

2021

Journal of King Saud University - Engineering Sciences

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Virtual prototyping through multisoftware integration for energy harvester design

Cited by 4 publications

References 24 publications

Project-based learning of advanced CAD/CAE tools in engineering education

Project-based learning of advanced CAD/CAE tools in engineering education

Novel Design Methodology for DC-DC Converters Applying Metaheuristic Optimization for Inductance Selection

A review of CAD to CAE integration with a hierarchical data format (HDF)-based solution

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