A product functional modelling approach based on the energy flow by using characteristics-properties modelling

Malmiry, Roozbeh Babaeizadeh; Dantan, Jean‐Yves; Pailhès, Jérôme; Antoine, Jean-François

doi:10.1080/09544828.2016.1235261

Cited by 14 publications

(7 citation statements)

References 37 publications

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“…After establishing the functional structure and searching for the appropriate working principle, the solution is combined into a working structure. 24 The data involved in conceptual design include product function data, product structure data, and design alternative data, and so on. 3.…”

Section: Requirement Analysismentioning

confidence: 99%

Data-driven product design toward intelligent manufacturing: A review

Feng

Zhao

Zheng

et al. 2020

International Journal of Advanced Robotic Systems

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With the arrival of the big data era, a lot of valuable data have been generated in the entire product life cycle. The gathered product data contain a lot of design knowledge, which brings new opportunities to enhance the production efficiency and product competitiveness. Data-driven product design is an effective and popular design method, which can provide sufficient support for designers to make smart decisions. This article focuses on a comprehensive review of the existing research in data-driven product design. Based on the product design process, this article summarizes the data-driven design methods into the following aspects: customer requirement analysis, conceptual design, detailed design, and design knowledge support tools. In the customer requirement analysis stage, through data mining and transformation methods, customer requirements are predicted and then mapped to obtain accurate requirement expressions for aiding designers to explore the design space. In the conceptual design stage, the intelligent algorithms and data warehouse technologies are discussed in detail for function reasoning and scheme decision-making to achieve the iterative mapping from customer space to solution space. In the detailed design stage, data modeling languages and methods are introduced to support the simulation verification of the design process. For the design knowledge support tools, the methods of extracting knowledge from product data are discussed in detail, and the realization of computer-aided conceptual design is assisted through the development of knowledge-oriented design tools. Finally, this article summarizes the key points of data-driven product design research and provides an outlook for future research directions.

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Section: Requirement Analysismentioning

confidence: 99%

Data-driven product design toward intelligent manufacturing: A review

Feng

Zhao

Zheng

et al. 2020

International Journal of Advanced Robotic Systems

View full text Add to dashboard Cite

show abstract

“…Some approaches propose a function-oriented tolerance specification (Hu and Peng, 2011) and analysis (Ledoux and Teissandier, 2013), without specifically addressing the link to functions. On the contrary, CPM is used for the identification of uncertainties as basis for the subsequent tolerancing (Malmiry et al, 2016). Finally, the matrix for the comparison of the functional requirements and the design parameters including tolerances presented by Islam (2004) can contribute to an improved system understanding and thus to a targeted functional tolerancing.…”

Section: The Tolerancing Domain -Modelling the Details Of Embodimentmentioning

confidence: 99%

A Conceptual Model Combination for the Unification of Design and Tolerancing in Robust Design

Grauberger

Goetz

Schleich

et al. 2020

Proc. Des. Soc.: Des. Conf.

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In design engineering, the early consideration of tolerance chains contributes to robust design. For this, a link of design and tolerancing domains is essential. This paper presents a combination of the graph-based tolerancing approach and the Contact and Channel approach to link these domains. The combined approach is applied at a coinage machine. Here it provides detailed insights into state-dependent relations of embodiment and functions, which can improve robustness evaluation of the concept. This approach shows a possibility to bridge the gap between design and tolerancing domains.

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“…Even within matrix-based methods there are various ways to characterize a product or system. Other tools, such as characteristics property model and property driven design decompose the design and consider either the structure of the product or the functions on an individual basis (Qureshi et al 2013;Malmiry et al 2016).…”

Section: Multiobjective Optimizationmentioning

confidence: 99%

Using a Product’s Sustainability Space as a Design Exploration Tool

et al. 2019

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Sustainable design is often practiced and assessed through the consideration of three essential areas: economic sustainability, environmental sustainability, and social sustainability. For even the simplest of products, the complexities of these three areas and their tradeoffs cause decision-making transparency to be lost in most practical situations. The existing field of multiobjective optimization offers a natural framework to define and explore a given design space. In this paper, a method for defining a product’s sustainability space (defined by economic, environmental, and social sustainability objectives) is outlined and used to explore the tradeoffs within the space, thus offering both the design team and the decision makers a means of better understanding the sustainability tradeoffs. This paper concludes that sustainable product development can indeed benefit from tradeoff characterization using multiobjective optimization techniques – even when using only basic models of sustainability. Interestingly, the unique characteristics of the three essential sustainable development areas lead to an alternative view of some traditional multiobjective optimization concepts, such as weak-Pareto optimality. The sustainable redesign of a machine to drill boreholes for water wells is presented as a practical example for method demonstration and discussion.

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A product functional modelling approach based on the energy flow by using characteristics-properties modelling

Cited by 14 publications

References 37 publications

Data-driven product design toward intelligent manufacturing: A review

Data-driven product design toward intelligent manufacturing: A review

A Conceptual Model Combination for the Unification of Design and Tolerancing in Robust Design

Using a Product’s Sustainability Space as a Design Exploration Tool

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