Designing Product Forms Using a Virtual Hand and Deformable Models

Author(s):  
Meng-Dar Shieh ◽  
Chih-Chieh Yang

This paper presents a computer-aided conceptual design system for developing product forms. The system integrates a virtual hand, which is manipulated by the designer, with deformable models representing the product forms. Designers can use gestural input and full hand pointing in the system to discover potential new ways for product form design. In the field of industrial design, styling and ergonomics are two important factors that determine a successful product design. Traditionally, designers explore possible concepts by sketching their ideas and then using clay or foam mock-ups to test them during the early phases of product design. With our deformable modeling simulation system, we provide a useful and efficient tool for industrial designers that enable to produce product form proposals efficiently without unnecessary trial and error. Designers can input pre-scanned 3D raw data or a 3D CAD model as an initial prototype. Then, the input model is given the material’s elastic property via the construction of a volume-like mass-spring-damping system. The virtual hand in the system constantly changes gestures as the designer manipulates it with a glove-based input device. The product form will be deformed or shaped according to the amount of force exerted by the virtual hand. A mesh smoothing feature called “PN-triangle” is also used to improve the appearance of the deformed model. Finally, a physical prototype with volume and weight is generated using a rapid prototyping machine. Designers can use these mock-ups to conduct further ergonomic evaluations.

Author(s):  
Andrew Muir Wood ◽  
James Moultrie ◽  
Claudia Eckert

Companies are coming round to the idea that function and form are complimentary factors in improving the user’s experience of a product and competing in today’s saturated consumer goods markets. However, consumer perception of form is constantly changing, and this manifests itself in the evolving forms of the products that they adopt. From clothes to cameras to cars, change in form is inevitable, and design teams must account for these trends in their product design and development strategies. Through literature, semi-structured interviews with design and trend practitioners, and an archival case study of mobile phone evolution, the authors have developed theories about the continuities that occur in product forms over time, and the forces that can disrupt this behaviour. They then go on to suggest how this view of form as evolving trajectories can benefit future product design strategies.


2010 ◽  
Vol 97-101 ◽  
pp. 3785-3788
Author(s):  
Hung Cheng Tsai ◽  
Tien Li Chen ◽  
Hung Jung Tsai ◽  
Fei Kung Hung

The product form design activities involve a high degree of uncertainty and complexity and are therefore not easily formulated, coded and regularized. Consequently, very few of the computer-aided design approaches presented in the literature can support the conceptual form design tasks typically performed at the preliminary stages of a product’s development cycle. To enable designers to perform their design activities more objectively and efficiently, this paper combines the principles of fuzzy set theory, the shape-blending method and genetic algorithms to generate a knowledge-based approach for product form design based upon a database describing the relationships between different product forms and their corresponding perceptual image evaluations.


2010 ◽  
Vol 33 ◽  
pp. 560-563
Author(s):  
Zhu Gao ◽  
Xiao Min Ji ◽  
Hun Guo

In this paper, we concentrate on the ontology-Based design knowledge modeling technologies for the product form. For that, we study the ontology modeling theory, the representation of product design knowledge. From the view of the DKM, the product form prototype and its mathematical model will be established for Product Forms Innovative Design System (FIDS).


2021 ◽  
Vol 20 (2) ◽  
pp. 136
Author(s):  
Sugoro Bhakti Sutono

This paper presents a multi-response optimization method that uses the grey-based Taguchi method as the integrative product form design optimization method, and it serves as a tool for product form design to determine the optimal combination of design parameters in Kansei engineering (KE). This method is unique in that it combines the Taguchi method (TM) and grey relational analysis (GRA), allowing it to take advantage of the benefits of both methods. The TM is used to design experiments and generate combinative product form design samples which can be used to improve product quality. The GRA is applied to multi-response optimization problems. Factor effect analysis and analysis of variance (ANOVA) are used to determine which combinations of design parameters will result in the optimal product design. To demonstrate the applicability of the grey-based TM, a case study of a car form design is presented, and a confirmation test is performed to verify the performance of the optimal product design. The results show that the grey-based TM can deal with optimization problems with multiple Kansei responses and determine an optimal car form design that is representative of the consumers' perception in a systematic manner. The confirmation test results also show that the optimal product design generated by the grey-based TM can be used to improve the overall quality of a product form.


2012 ◽  
Vol 591-593 ◽  
pp. 112-114
Author(s):  
Yan Wen ◽  
Hu Sun

The basic element of product form design are colors, materials and forms, the foundation of the form beauty lies in different arrangement which gives you visual impact. You must feel not only the innovation at the glance of the classic product design of Apple such as mobile phones, computers but also its unity and instantaneously. This is the perfect performance of the law Unity and Variety. This paper is presented that the unity and variety of product form design is applied in the elements of design such as colors, materials and forms which take Apple design as an example based on the basic law of form beauty principle. And it provides a theoretical basis and references for enterprise to develop a series of product and pave the way for further research.


2020 ◽  
Vol 39 (5) ◽  
pp. 7977-7991
Author(s):  
Yixiang Wu

The product form evolutionary design based on multi-objective optimization can satisfy the complex emotional needs of consumers for product form, but most relevant literatures mainly focus on single-objective optimization or convert multiple-objective optimization into the single objective by weighting method. In order to explore the optimal product form design, we propose a hybrid product form design method based on back propagation neural networks (BP-NN) and non-dominated sorting genetic algorithm-II (NSGA-II) algorithms from the perspective of multi-objective optimization. First, the product form is deconstructed and encoded by morphological analysis method, and then the semantic difference method is used to enable consumers to evaluate product samples under a series of perceptual image vocabularies. Then, the nonlinear complex functional relation between the consumers’ perceptual image and the morphological elements is fitted with the BP-NN. Finally, the trained BP-NN is embedded into the NSGA-II multi-objective evolutionary algorithm to derive the Pareto optimal solution. Based on the hybrid BP-NN and NSGA-II algorithms, a multi-objective optimization based product form evolutionary design system is developed with the electric motorcycle as a case. The system is proved to be feasible and effective, providing theoretical reference and method guidance for the multi-image product form design.


2012 ◽  
Vol 215-216 ◽  
pp. 547-550
Author(s):  
Mei Li Cao Cao ◽  
Ning Bin Yang

Based on the theory of PLC, a new method of form design is draw up to be “PLC analysis - Progress choose - Morphological characteristics –Product form design”, by considering the multiple relevant processes in all stages of PLC, to achieve the full unity of the form and processes, which varied from the traditional thinking mode of product design concentrating on product manufacturing process only. Then the design of motor oil container was done with the implement of new method.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Hung-Yuan Chen ◽  
Yu-Ming Chang ◽  
Ting-Chun Tung

Consumer satisfaction with a product’s form plays an essential role in determining the likelihood of its commercial success. A consumer perception-centered design approach is proposed in this study to aid product designers with incorporating consumers’ perceptions of product forms in the design process. The consumer perception-centered design approach uses the linear modeling technique (multiple linear regression) and the nonlinear modeling technique (neural network) to determine the satisfying product form design for matching a given product image. A series of experimental evaluations are conducted to collect evaluation results for examining the relationship between the automobile profile features and the consumers’ perceptions of the automobile image. The result of predictive performance comparison shows that both the nonlinear neural network modeling technique and the multiple linear regression technique are comparably good for predicting the consumers’ likely response to a particular automobile profile since the predictive performance difference between the two modeling techniques is very slight in this study. Although this study has chosen a 2D automobile profile for illustration purposes, the concept of the proposed approach is expansively applicable to 3D automotive form design or other consumer product forms.


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