A design framework for the mass customisation of custom-fit bicycle helmet models

Perret-Ellena, Thierry; Mustafa, Helmy; Subic, Aleksandar; Pang, Toh Yen

doi:10.1016/j.ergon.2018.01.005

Cited by 24 publications

(10 citation statements)

References 25 publications

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“…In the automotive industry, Tüchsen et al (2018) applied a data-driven design approach (selection and generation mechanism) to deal with data of customers' requests and improved the efficiency of designing electric motors. Moreover, high volume of data was also obtained in studies (Ellena et al, 2018;Mourtzis et al, 2013), investigating mass customisation of products. Although, large amount of data was collected in these studies, very few of them clearly demonstrated why the specific data was required and why the phase of product development or customisation was selected as the data source.…”

Section: Introductionmentioning

confidence: 99%

Identify Critical Data During Product Customisation – A Case Study of Orthoses Fabrication

Tan

Chen

Cao

et al. 2020

Proc. Des. Soc.: Des. Conf.

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Big data provides high volume of data to inform product customisation. Understanding which data is relevant remains a challenge. A method is proposed to identify relevant data to inform data-driven customisation. A case study regarding customisation of orthoses was conducted. Verbal protocol analysis was employed to extract time spent on major fabrication phases. Data related to patients, therapists and fabrication time was analysed. Results showed that the number of stabilised joints, experience of therapists and whether the design is for in- or out-patient are key factors for customisation.

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Section: Introductionmentioning

confidence: 99%

Identify Critical Data During Product Customisation – A Case Study of Orthoses Fabrication

Tan

Chen

Cao

et al. 2020

Proc. Des. Soc.: Des. Conf.

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show abstract

“…Similarly, Taddese, Durieux and Duc, (2020) proposed sustainability performance indicators for AM based on product life cycle studies. AM presents huge potentials in customised and personalised products especially in medical prosthetics (Lim et al, 2017), tissue engineering (Spallek and Krause, 2016a), and protective products (Ellena et al, 2018). Although AM is continuously evolving, it is evident that research is ongoing to uncover the various approaches to reap the benefits of the technology at an optimised cost and reduced time.…”

Section: Dfam Classificationmentioning

confidence: 99%

A bibliometric analysis of research in design for additive manufacturing

Ugonna

Pradel

Sinclair

et al. 2022

RPJ

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Purpose The purpose of this paper is to understand how Design for Additive manufacturing Knowledge has been developing and its significance to both academia and industry. Design/methodology/approach In this paper, the authors use a bibliometric approach to analyse publications from January 2010 to December 2020 to explore the subject areas, publication outlets, most active authors, geographical distribution of scholarly outputs, collaboration and co-citations at both institutional and geographical levels and outcomes from keywords analysis. Findings The findings reveal that most knowledge has been developed in DfAM methods, rules and guidelines. This may suggest that designers are trying to learn new ways of harnessing the freedom offered by AM. Furthermore, more knowledge is needed to understand how to tackle the inherent limitations of AM processes. Moreover, DfAM knowledge has thus far been developed mostly by authors in a small number of institutional and geographical clusters, potentially limiting diverse perspectives and synergies from international collaboration which are essential for global knowledge development, for improvement of the quality of DfAM research and for its wider dissemination. Originality/value A concise structure of DfAM knowledge areas upon which the bibliometric analysis was conducted has been developed. Furthermore, areas where research is concentrated and those that require further knowledge development are revealed.

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“…The inner surfaces of helmets were constructed referring to the outer surfaces of the four levels of head shapes. Finally, a helmet suitable for Australian cyclists was designed [30]. Zhu Zhaohua et al first used 3D scanning and other methods to produce a number of models of ear canals of young Chinese males and females and then divided the shapes of their auricles into 24 groups using a cluster analysis of the 3D model [31].…”

Section: Design Of Wearablesmentioning

confidence: 99%

Research on custom-tailored swimming goggles applied to the internet

Bai

Qin

et al. 2022

Mechanics & Industry

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Custom-tailored designs have attracted increasing attention from both consumers and manufacturers due to increasingly intense market competition. We propose and verify a method for custom designing swimming goggles that is suitable for use on the Internet. Twenty-five points representing head features were first identified, and the relationship between these points and the size of the goggles were confirmed. The correct position for photography was then experimentally determined, and a camera-position corrector was designed and manufactured. A three-dimensional (3D) scanning model was divided into 18 planes based on the feature points, and the contour curve of the surface on each plane was extracted. Secondly a Hermite interpolation curve was then used to describe the contour curve for the head, and a parametric 3D head model was established. The method of using orthographic photographs with patches to obtain 3D data was summarized to determine the size of the user’s head, and a 3D model of the user’s head and the 3D model of the goggles were established. Lastly, we developed an algorithm for eliminating errors in the photographs. We also produced an operational flowchart for an application (APP) following the research approaches and then determined the page structure of the APP based on the flowchart to verify the validity of our proposed method and ultimately to establish an APP for interactively designing swimming goggles. The entire APP operation process was completed using a volunteer as an experimental subject when a model for custom-tailored goggles was obtained. The model was then processed and applied using 3D printing. The volunteer confirmed the model by declaring that the goggles were comfortable to wear and perfectly positioned on his face, thereby verifying the validity of the method.

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A design framework for the mass customisation of custom-fit bicycle helmet models

Cited by 24 publications

References 25 publications

Identify Critical Data During Product Customisation – A Case Study of Orthoses Fabrication

Identify Critical Data During Product Customisation – A Case Study of Orthoses Fabrication

A bibliometric analysis of research in design for additive manufacturing

Research on custom-tailored swimming goggles applied to the internet

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