Generative Design Methodology for Internet of Medical Things (IoMT)-based Wearable Biomedical Devices

2021 ◽  
Author(s):  
Cinay Dilibal ◽  
Brian L. Davis ◽  
Chinmay Chakraborty
Keyword(s):  
Design Methodology ◽  
Biomedical Devices ◽  
Generative Design ◽  
Internet Of Medical Things

Generative design and analysis of a double-wishbone suspension assembly: a methodology for developing constraint oriented solutions for optimum material distribution

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aayush Bhat ◽  
Vyom Gupta ◽  
Savitoj Singh Aulakh ◽  
Renold S. Elsen
Keyword(s):  
Design Methodology ◽  
Manufacturing Industry ◽  
Optimization Technique ◽  
Design Solution ◽  
Material Distribution ◽  
Generative Design ◽  
Trade Off ◽  
Content Type ◽  
Life Study ◽  
Optimal Material

Purpose The purpose of this paper is to implement the generative design as an optimization technique to achieve a reasonable trade-off between weight and reliability for the control arm plate of a double-wishbone suspension assembly of a Formula Student race car. Design/methodology/approach The generative design methodology is applied to develop a low-weight design alternative to a standard control arm plate design. A static stress simulation and a fatigue life study are developed to assess the response of the plate against the loading criteria and to ensure that the plate sustains the theoretically determined number of loading cycles. Findings The approach implemented provides a justifiable outcome for a weight-factor of safety trade-off. In addition to optimal material distribution, the generative design methodology provides several design outcomes, for different materials and fabrication techniques. This enables the selection of the best possible outcome for several structural requirements. Research limitations/implications This technique can be used for applications with pre-defined constraints, such as packaging and loading, usually observed in load-bearing components developed in the automotive and aerospace sectors of the manufacturing industry. Practical implications Using this technique can provide an alternative design solution to long periods spent in the design phase, because of its ability to generate several possible outcomes in just a fraction of time. Originality/value The proposed research provides a means of developing optimized designs and provides techniques in which the design developed and chosen can be structurally analyzed.

A Case Study For Participatory Fashion Design Using Generative Design Methodology

2017 ◽  
Vol 67 (4) ◽  
pp. 58-70 ◽  
Author(s):  
Jee Hyun Lee ◽  
Eun Han Lee ◽  
Hye Soo Cho ◽  
Eun Kyoung Yang ◽  
Jeong Min Kho
Keyword(s):  
Design Methodology ◽  
Fashion Design ◽  
Generative Design

scholarly journals An integrated energy performance-driven generative design methodology to foster modular lightweight steel framed dwellings in hot climates

2018 ◽  
Vol 44 ◽  
pp. 21-36 ◽  
Author(s):  
Eugénio Rodrigues ◽  
Nelson Soares ◽  
Marco S. Fernandes ◽  
Adélio Rodrigues Gaspar ◽  
Álvaro Gomes ◽  
...  
Keyword(s):  
Design Methodology ◽  
Energy Performance ◽  
Generative Design ◽  
Lightweight Steel

scholarly journals Evolutive 3D Modeling: A Proposal for a New Generative Design Methodology

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 338
Author(s):  
Jaime Nebot ◽  
Juan A. Peña ◽  
Carmelo López Gómez
Keyword(s):  
3D Modeling ◽  
Design Methodology ◽  
Information Gathering ◽  
The Other ◽  
Generative Design ◽  
Main Motivation ◽  
Design Fixation ◽  
Manufacturing Techniques ◽  
The Moment ◽  
Initial Process

At present, traditional 3D modeling programs consist of a set of tools that reflect conventional means of mechanical manufacturing and have limitations in relation with the current manufacturing capacities. On the other hand, organic and morphing 3D modeling programs are designed to transform a model from one known shape to another also known shape. Generative design helps the designers to detach themselves during the design process and can provide them with completely unexpected geometrical solutions. In this paper, starting from 3D morphing techniques and genetic algorithms, a new methodology of product shape definition is developed, capable of imitating processes that occur in nature and aimed at creating new and different product designs. This methodology enables to overcome the limitations imposed by design fixation and allows better exploitation of the great possibilities granted by the new manufacturing techniques, most notably additive manufacturing. The initial process of research and information gathering gives this work a solid basis to develop the new methodology. The results of this initial process are briefly resumed in this paper in order to explain the main motivation for developing this work. The workflow of this methodology is presented as a theoretical process, since its implementation has not been, at least for the moment, put into practice. Before presenting the conclusion for this proposal, several examples have been formulated in order to help the reader to catch the point of the entire process.

scholarly journals The creation of a neural network based capability profile to enable generative design and the manufacture of functional FDM parts

2021 ◽  
Vol 113 (9-10) ◽  
pp. 2951-2968
Author(s):  
Mark Goudswaard ◽  
Ben Hicks ◽  
Aydin Nassehi
Keyword(s):  
Neural Network ◽  
Mechanical Properties ◽  
Design Process ◽  
Design Methodology ◽  
Experimental Testing ◽  
Tensile Modulus ◽  
Generative Design ◽  
The Creation ◽  
Artificial Neural Network Ann ◽  
Design And Manufacture

AbstractIn order to manufacture functional parts using filament deposition modelling (FDM), an understanding of the machine’s capabilities is necessary. Eliciting this understanding poses a significant challenge due to a lack of knowledge relating manufacturing process parameters to mechanical properties of the manufactured part. Prior work has proposed that this could be overcome through the creation of capability profiles for FDM machines. However, such an approach has yet to be implemented and incorporated into the overall design process. Correspondingly, the aim of this paper is two-fold and includes the creation of a comprehensive capability profile for FDM and the implementation of the profile and evaluation of its utility within a generative design methodology. To provide the foundations for the capability profile, this paper first reports an experimental testing programme to characterise the influence of five manufacturing parameters on a part’s ultimate tensile strength (UTS) and tensile modulus (E). This characterisation is used to train an artificial neural network (ANN). This ANN forms the basis of a capability profile that is shown to be able to represent the mechanical properties with RMSEP of 1.95 MPa for UTS and 0.82 GPa for E. To validate the capability profile, it is incorporated into a generative design methodology enabling its application to the design and manufacture of functional parts. The resulting methodology is used to create two load bearing components where it is shown to be able to generate parts with satisfactory performance in only a couple of iterations. The novelty of the reported work lies in demonstrating the practical application of capability profiles in the FDM design process and how, when combined with generative approaches, they can make effective design decisions in place of the user.

scholarly journals Generative design of 3D printed hands-free door handles for reduction of contagion risk in public buildings

2022 ◽  
Author(s):  
F. De Crescenzio ◽  
M. Fantini ◽  
E. Asllani
Keyword(s):  
Design Methodology ◽  
Digital Technologies ◽  
Daily Activities ◽  
Existing Buildings ◽  
Validation Process ◽  
Public Buildings ◽  
Generative Design ◽  
Preliminary Validation ◽  
3D Printed ◽  
Contagion Risk

AbstractDuring the emergency caused by COVID 19 evidence has been provided about the risk of easily getting the virus by touching contaminated surfaces and then by touching eyes, mouth, or nose with infected hands. In view of the restarting of daily activities in presence, it is paramount to put in place any strategy that, in addition to social distancing, is capable to positively impact on the safety levels in public buildings by reducing such risk. The main aim of this paper is to conceive a design methodology, based on a digital, flawless, and sustainable procedure, for producing human-building interfacing solutions that allow anybody to interact in a safer and more comfortable way. Such solutions are focused on the adaptation of existing buildings features and are thought to be an alternative to sensor based touchless technology when this is not applicable due to economic or time constraints. The process is based on the integration of digital technologies such as 3D Scanning, Generative Design and Additive Manufacturing and is optimised to be intuitive and to be adaptive, hence, to be replicable on different kinds of surfaces. The design concept is finalised to generate automatically different products that meet geometry fitting requirements and therefore adapt to the specific geometries of existing handles. A specific case on Hands Free Door Handles is presented and the results of manufacturing and preliminary validation process are provided and discussed.

scholarly journals French Biological Philosophy of Technology as a Candidate Perspective Furthering Design Methodology

2019 ◽  
Vol 1 (1) ◽  
pp. 1493-1502
Author(s):  
Sander Mulder
Keyword(s):  
Design Methodology ◽  
Philosophy Of Technology ◽  
Artificial Kidney ◽  
Real Case ◽  
Design Team ◽  
Generative Design ◽  
Perspective Drawing ◽  
Human Intention ◽  
Domestic Setting ◽  
Gilbert Simondon

AbstractA first exploration is conducted to what the French biological philosophy of technology perspective has to offer to the field of design methodology. If this French perspective is combined with contemporary speculative pragmatism a generative design methodology emerges offering novelty in what is sensed as important in a design situation. Within this perspective, drawing upon the late French philosopher Gilbert Simondon, technical objects have their own mode of existence and their own trajectory of development apart from human intention.Designers working with such a generative design methodology follow the constitutive value of openness and attune to the regulative value of techno-aesthetic judgments. By way of a 'vignette+', a paradigmatic example from a real case, a more encompassing argument is made towards design situations where a sophisticated machine is 'inserted' into a domestic setting.The example taken is the use of an artificial kidney machine in a domestic setting and the development of a novel machine with a design team. Four aspects were sensed as important in the unfolding design situation and directions for further research are discussed.

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