Integrating negative dependencies assessment during mechatronics conceptual design using fuzzy logic and quantitative graph theory

Chouinard, Ugo; Achiche, Sofiane; Baron, Luc

doi:10.1016/j.mechatronics.2019.03.009

Cited by 7 publications

(5 citation statements)

References 31 publications

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“…Indeed, the sensors, actuators, pack soil, and storage of resources must be carefully positioned to avoid the malfunction of the greenhouse. A malfunction can occur when one component has adverse/negative effects on other components as reported by Chouinard et al (2017, 2019). For example, the temperature sensor cannot be placed close to the heater to avoid an erroneous reading of the temperature, which could lead to freezing, or drying the pack soil.…”

Section: Introductionmentioning

confidence: 93%

“…For example, generally a water tank is bigger than a heat sensor; hence, the water tank has more chance to obstruct the field of view of a component such as a camera. A table such as Table 1 is used by Chouinard et al (2017, 2019) to identify components generating adverse effect and those who are affected by these adverse effects. The first column is the list of components.…”

Section: Problem Statementmentioning

confidence: 99%

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Evolutionary layout design synthesis of an autonomous greenhouse using product-related dependencies

Cio

Vadean

et al. 2020

AIEDAM

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The development of autonomous greenhouses has caught the interest of many researchers and industrial considering their potential of offering an optimal environment for the growth of high-quality crops with minimum resources. Since an autonomous greenhouse is a mechatronic system, the consideration of its subsystem (e.g. heating systems) and component (e.g. actuators and sensors) interactions early in the design phase can ease the product development process. Indeed, this consideration could shorten the design process, reduce the number of redesign loops, and improve the performance of the overall mechatronic system. In the case of a greenhouse, it would lead to a higher quality of the crops and a better management of resources. In this work, the layout design of a general autonomous greenhouse is translated into an optimization problem statement while considering product-related dependencies. Then, a genetic algorithm is used to carry out the optimization of the layout design. The methodology is applied to the design of a fully autonomous greenhouse (45 cm × 30 cm × 30 cm) for the growth of plants in space. Although some objectives are conflictual, the developed algorithm proposes a compromise to obtain a near-optimal feasible layout design. The algorithm was also able to optimize the volume of components (occupied space) while considering the energy consumption and the overall mass. Their respective summed values are 2844.32 cm3, which represents 7% of the total volume, 5.86 W, and 655.8 g.

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Section: Introductionmentioning

confidence: 93%

Section: Problem Statementmentioning

confidence: 99%

Evolutionary layout design synthesis of an autonomous greenhouse using product-related dependencies

Cio

Vadean

et al. 2020

AIEDAM

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“…As such, we leveraged existing know-how and saw a clear path from the qualitative approach towards a quantitative measure that we could implement with stiffened panels. Measuring design complexity is an ongoing area of research, with perspectives from many different disciplines (Min, Suh, & Hölttä-Otto 2015; Mohebbi, Achiche, & Baron 2018; Sinha, Suh, & de Weck 2018; Chouinard, Achiche, & Baron 2019; Bjarklev et al 2020). In this work, we focus on the definitions used in axiomatic design for conceptual design.…”

Section: Complexity Measures For Optimizationmentioning

confidence: 99%

Complexity-driven layout exploration for aircraft structures

Gamache,

Vadean,

Capo

et al. 2023

Des. Sci.

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Topology optimization has been identified as a powerful tool to improve aircraft structures for many years. Yet, innovative layouts have not been successfully implemented in commercial aircraft for several reasons. One reason identified by our research group is the lack of design constraints during topology optimization, such as buckling stability, which yields complex solutions that are not easily manufacturable. Second, the complexity of the resulting layouts makes integration with other systems highly challenging. With respect to these challenges, we propose a new heuristic layout optimization process: complexity-driven layout exploration for aircraft structures (CD-LEAS). The new process addresses the challenges of complexity and nonlinear constraints, such as buckling, in aircraft structure layout optimization. The novelty of CD-LEAS comes from the integration of a relative complexity metric as a driver to navigate the design space efficiently. Two case studies of commonly used stiffened panels are carried out to showcase the performance of the process. The results show that using complexity to navigate an explicit design space allows our process to quickly output a family of simple, light, stiff and buckling-resistant layouts.

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“…Consequently, a lot of effort is invested during the design process for the integration of the multi-domain components and subsystems. Developing methods that would facilitate the mechatronic design process and related decision making is thus an active field of research (Chouinard et al, 2017(Chouinard et al, , 2019aMohebbi et al, 2018). The main product-related challenges associated with mechatronic devices and their multi-domain nature can be summarized as such (Torry-Smith et al, 2012):…”

Section: Mechatronicsmentioning

confidence: 99%

Potential of circular economy implementation in the mechatronics industry: An exploratory research

Chouinard

Pigosso

McAloone

et al. 2019

Journal of Cleaner Production

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Integrating negative dependencies assessment during mechatronics conceptual design using fuzzy logic and quantitative graph theory

Cited by 7 publications

References 31 publications

Evolutionary layout design synthesis of an autonomous greenhouse using product-related dependencies

Evolutionary layout design synthesis of an autonomous greenhouse using product-related dependencies

Complexity-driven layout exploration for aircraft structures

Potential of circular economy implementation in the mechatronics industry: An exploratory research

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