The Function-Based Design for Sustainability Method

Arlitt, Ryan; Bossuyt, Douglas L. Van; Stone, Rob; Tumer, Irem Y.

doi:10.1115/1.4035431

Cited by 23 publications

(6 citation statements)

References 99 publications

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“…Function-based design has been used as a bridge to bring Design-for-X (DfX) objectives, such as Design for the Environment, from post-design analysis to the earlier design phases of product development. To this end, function-based design has been used with life-cycle assessment data to provide functionbased sustainable design knowledge to designers [30,31,32]. In human-centered product design, function has been related to human error and interaction points to determine which functions need special consideration for ergonomics [33,34].…”

Section: Function-based Product Designmentioning

confidence: 99%

Classifying Component Function in Product Assemblies with Graph Neural Networks

Ferrero¹,

Hassani²,

Grandi³

et al. 2021

Preprint

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Function is defined as the ensemble of tasks that enable the product to complete the designed purpose. Functional tools, such as functional modeling, offer decision guidance in the early phase of product design, where explicit design decisions are yet to be made. Function-based design data is often sparse and grounded in individual interpretation. As such, function-based design tools can benefit from automatic function classification to increase data fidelity and provide function representation models that enable function-based intelligent design agents. Functionbased design data is commonly stored in manually generated design repositories. These design repositories are a collection of expert knowledge and interpretations of function in product design bounded by function-flow and component taxonomies. In this work, we represent a structured taxonomy-based design repository as assembly-flow graphs, then leverage a graph neural network (GNN) model to perform automatic function classification. We support automated function classification by learning from repository data to establish the ground truth of component function assignment. Experimental results show that our GNN model achieves a micro-average F 1 -score of 0.832 for tier 1 (broad), 0.756 for tier 2, and 0.783 for tier 3 (specific) functions. Given the imbalance of data features, the results are encouraging. Our efforts in this paper can be a starting point for more sophisticated applications in knowledge-based CAD systems and Design-for-X consideration in function-based design.

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Section: Function-based Product Designmentioning

confidence: 99%

Classifying Component Function in Product Assemblies with Graph Neural Networks

Ferrero¹,

Hassani²,

Grandi³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Previous empirical studies on sustainable design have usually studied individual methods in isolation (Devanathan et al 2010;Uang & Liu 2013;Reap & Bras 2014;Tempelman et al 2015;Arlitt et al 2017;Mattson et al 2019) or considered all sustainable design practices as the same (see first paragraph citations). Some have compared whole design methods to each other (Behrisch, Ramirez & Giurco 2011a;Behrisch, Ramirez & Giurco 2011b).…”

Section: Background and Theorymentioning

confidence: 99%

Where do professionals find sustainability and innovation value? Empirical tests of three sustainable design methods

2020

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Recommendations of sustainable design methods are usually based on theory, not empirical industry tests. Furthermore, since professionals often mix components of different design methods, recommending whole methods may not be relevant. It may be better to recommend component activities or mindsets. To provide empirical grounding for recommendations, this study performed 23 workshops on three sustainable design methods involving over 172 professionals from 27 companies, including consultancies and manufacturers in three industries (consumer electronics, furniture and clothing). The design methods tested were The Natural Step, Whole System Mapping and Biomimicry. Participants were surveyed about what components in each design method drove perceived innovation, sustainability or other value, and why. The most valued components only partially supported theoretical predictions. Thus, recommendations should be more empirically based. Results also found unique and complementary value in components of each method, which suggests recommending mixed methods for sustainable design. This may help design professionals find more value in green design practices, and thus integrate sustainability more into their practice.

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“…Localization and isolation of a problem are a widely practiced [3,6,7] action in mechanical design, supporting the task concentration, task targeting, and finding a solution. Anyhow the approach based on freedom and possibility of management and modification of two sets of mechanical and functional means in a direct and interdependent way, which opens a large-scale opportunity for finding an optimal solution; avoiding a large-scale exhausting search makes the proposed approach advantageously and effectively different from the abovementioned task localization approaches and design procedures.…”

Section: Development Of Mechanical and Functional Models As Preparation For Synthesizing Actionmentioning

confidence: 99%

“…The task-based design methods can be conventionally divided into methodologies based mostly on human participation or on computer-aided methods with minimum involvement of human factor. Some examples for the second group of task-based design methodologies are quite successful when directing a designer to organize a new product development with novel properties [1][2][3]. Very popular and classical methods [4,5] of splitting mechanical components from functional ones have clear abstraction and visualization means and require consideration of a large number of candidate solutions in an attempt to isolate a workable and optimal one.…”

Section: Introductionmentioning

confidence: 99%

Task-Based Conceptual Design of a Novel Product

Darbinyan¹

2020

Product Design

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A novel task-based conceptual design method introduced around a decade ago has been presented from its most characteristic points including the general idea, usage and modification of previous art, usage and modification of independent sets of functional and mechanical means for implementation of those functions, creation of intermediate mechanical-functional sets supporting the development of new structures like models, visualization of the design process, and so on. The current paper aims to reveal a non-computerized graphically visualized set of actions covering all the above-mentioned major steps of the suggested methodology. The success of synthesizing action greatly depends on the method of creation submechanisms or virtual mechanisms, which are making possible visualization and consideration intermediate structures helping to identify and implement a necessary function. The method of creating of such subcategories and application of elementary movements or set of links for explaining or satisfying demanded set of functions could be considered the main methodical novelty and strength of proposed conceptual design method. Two examples are included: the first reinvention of a known tool—Locking Pliers from database and second synthesis of a novel hand tool—Adjustable Nut Wrench.

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The Function-Based Design for Sustainability Method

Cited by 23 publications

References 99 publications

Classifying Component Function in Product Assemblies with Graph Neural Networks

Classifying Component Function in Product Assemblies with Graph Neural Networks

Where do professionals find sustainability and innovation value? Empirical tests of three sustainable design methods

Task-Based Conceptual Design of a Novel Product

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