Layout optimization of power modules using a sequentially coupled approach

Hammadi, Moncef; Choley, Jean-Yves; Penas, Olivia

doi:10.2507/ijsimm10(3)2.183

Cited by 34 publications

(8 citation statements)

References 8 publications

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“…The Multidisciplinary design optimization (MDO) seems to be the most promising solution for the optimization of mechatronic systems, as it allows designers to incorporate all relevant disciplines simultaneously. MDO has been introduced in numerous fields, including aerospace design [3], electronics [4], automobile design [5], etc.…”

Section: Related Workmentioning

confidence: 99%

Multi-agent approach based on a design process for the optimization of mechatronic systems

Guizani

Hammadi

Choley

et al. 2017

Mechanics & Industry

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Mechatronic design optimization is a complex process characterized by an important number of requirements, design variables, constraints and objectives. Therefore, it is very important to decompose efficiently the system design problem into a set of partitions to minimize the computational cost while profiting from the spatial distribution of design tools, working teams and expertise. However, the optimization of the overall design requires incorporating the relevant partitions in order to find the optimum mechatronic design. Efficient strategies of partitioning and coordination should be specified at the conceptual level to have a successful optimization process. In this paper, a new approach based on multi-agent paradigm is proposed for mechatronic design optimization. The proposed approach is applied to the preliminary design case of an electric vehicle to demonstrate its validity and effectiveness.

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Section: Related Workmentioning

confidence: 99%

Multi-agent approach based on a design process for the optimization of mechatronic systems

Guizani

Hammadi

Choley

et al. 2017

Mechanics & Industry

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“…Alternatively, the process can be continued towards other analyses that need to be carried out for the model. The result of such multi-criteria analysis [10], conducted within single software environment is a final design solution of the product that fulfils all ergonomic, mechanical, and other demands and conditions.…”

Section: Compatible Ergonomic Cad Softwarementioning

confidence: 99%

Improving Products’ Ergonomic Value Using Intelligent Decision Support System

Kaljun¹,

Dolšak²

2012

SV-JME

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During the process of defining suitable design solutions, a designer has to consider a wide range of influential factors. Ergonomics certainly belongs to more complex ones. Less experienced designers could encounter several problems during this design stage. Although some literature can be found about ergonomic design of hand tools, a designer still has to have amassed quite a lot of experience and knowledge in the field of ergonomic, in order to choose and carry out appropriate design and redesign actions. Existing computer tools for ergonomic design are not able to assist a designer with higher level advice within design process. An intelligent decision support system has been developed in order to overcome this bottleneck. This paper presents a knowledge base, containing ergonomic design knowledge specific for hand tools design. A pneumatic hammer handle design is used as a case study to show how ergonomic design knowledge built in the system is used to improve the ergonomic value of the product.

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“…Pire et al, presented a universal model to analyses the energy system in full detail [13], Dovjak et al analysed energy use for the cooling environment [14]. Hammadi et al, used a sequentially coupled approach to optimize power modules [15], In order to investigate the design method of the CAE, multi-objective optimization was used to obtain the relation of maximum specific work with engine power and engine structure parameters [16].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Energy Efficiency of a Piston Compressed Air Engine

Yu¹,

Cai²,

Shi³

et al. 2014

SV-JME

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To improve the energy efficiency and output power of the piston compressed air engine (CAE), a mathematical model of its working process was set up. With the use of the MATLAB/Simulink software for simulation, the influences of the bore-to-stroke ratio, intake pressure and vaive lift on the performance of the engine were obtained for the analysis of the energy efficiency and the output power. Moreover, to optimize the energy efficiency of the engine with the given output power, an improved NSGA-II was introduced, and a series of optimization intake pressures and valve lifts was obtained. When the output power value is about 2 kW, the intake pressure and the intake valve lift can be set to 1.99 MPa and 9.99 mm, the energy efficiency is highest: 31.17%. Finally, that the improved NSGA-II is superior to NSGA-II in proximity and diversity has been proved. This research can be referred in the optimization of the piston CAE and provides a method for the energy efficiency optimization study.

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Layout optimization of power modules using a sequentially coupled approach

Cited by 34 publications

References 8 publications

Multi-agent approach based on a design process for the optimization of mechatronic systems

Multi-agent approach based on a design process for the optimization of mechatronic systems

Improving Products’ Ergonomic Value Using Intelligent Decision Support System

Optimization of the Energy Efficiency of a Piston Compressed Air Engine

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