Unified diversity: A digital product form finding approach applied in drinkware

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School of Arts, Design and Architecture | Master's thesis
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Master's Programme in Collaborative and Industrial Design
Parametric technology can significantly expand the efficiency and complexity of form generation process. Diverse and unpredictable forms have been encountered as a result. However, to proceed these forms into qualified product design, analysis and evaluation still need to be performed according to specific design goals, such as functional requirements and modelling characteristics. Product design goals are usually diverse and complex, and they are relatively implicit to be measured and processed by computers directly. Therefore, in the field of industrial product design, the understanding of goals and the evaluation of design results still require the designer’s participation. At the same time, for some products with a single function and regular form, if their design goals can be converted into parametric rules that control the generation of product form, a computer closed-loop modelling design process without the designer’s involvement could be realised. Based on the existing parametric modelling generation methods, this thesis selectively uses intelligent optimisation algorithms. It takes the drinking vessel, a clearly defined product with certain function, as an example to discuss a form generation and evaluation process for a single-volume product modelling. This study provides a possible idea for the closed-loop product modelling design of the computer and carries out related practices. Specifically, the study first analyses a single form of product systematically from the perspective of product design and converts multiple objectives of the product into a series of rules that can be identified and processed by a computer from the perspectives of definition, function, and classification. A framework of cognitive function constraints and primary type constraints is established. Based on the comprehensive analysis of the product form, the form is deconstructed with its feature extracted starting from the generation rules in form generation phase. The parametric form reconstruction of the basic model and the parametric generation design of the complex form is designed, and a unified set of parametric form generation is obtained as a toolkit. In the evaluation phase of the product’s features, this thesis quantitatively analyses the product form style and features according to the semantic differential method, and uses machine learning to map the modelling variables of parametric product form to the feature evaluation results, thereby obtaining a feature evaluation tool for the generated form. Finally, the whole process is realised, which the user select the design goal as input parameters, and the computer uses an intelligent optimisation algorithm to find and output the product form that best meets the requirements. Additionally, this process is encapsulated to build a relatively simple operation process.
Uusitalo, Severi
Thesis advisor
Yang, Wenqing
parametric design, product design, generative design, intelligent optimisation algorithm, product form, design evaluation, digital design, drinkware
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