Processes to Integrate Design With Downstream Applications Through Product Shapes Adaptation

Drieux, G.; Léon, Jean-Claude; Guillaume, François; Chevassus, Nicolas

doi:10.1109/jsyst.2009.2017392

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…One of the foremost challenges that CAD endeavors to mitigate is the inherent complexity of modern product design. As consumer expectations continue to evolve and technology advances at an unprecedented pace, the demand for innovative and intricately designed products has surged [18]. However, traditional methods of manual drafting and prototyping struggle to keep pace with the intricate geometries and sophisticated functionalities demanded by contemporary products.…”

Section: Problem Formulationmentioning

confidence: 99%

Application of Computer Aided Design in Product Innovation and Development: Practical Examination on Taking the Industrial Design Process

Tan,

2024

IEEE Access

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This article explores the crucial role of Computer-Aided Design (CAD) in revolutionizing the landscape of product innovation and development, with a specific focus on the industrial design process. By leveraging CAD technologies, designers and engineers can streamline the iterative design process, enhance creativity, and expedite time-to-market for new products. The historical background of CAD in industrial design sets the stage for understanding its evolution and integration into modern design practices. Through a comprehensive review, this article elucidates the significant contributions of CAD tools and software in facilitating innovation and pushing the boundaries of traditional design paradigms. The article focuses on the practical aspects of CAD integration with other cutting-edge technologies, such as 3D printing, virtual reality, and augmented reality, highlighting their synergistic potential in enhancing the product development lifecycle. A methodological framework is proposed, employing a combination of optimization algorithms, specifically Genetic Algorithms, and deep learning algorithms, such as Convolutional Neural Networks (CNNs), to address key challenges in industrial design. These algorithms offer novel solutions for optimizing design parameters and analyzing visual data, thereby fostering a more efficient and effective design process. Drawing upon empirical evidence and case studies, the results section elucidates the tangible benefits of employing CAD in product innovation and development. Performance metrics, optimization results, and deep learning insights underscore the transformative impact of CAD technologies on enhancing design efficiency, accuracy, and creativity. This article underscores the indispensable role of CAD in driving innovation and shaping the future of industrial design. By embracing CAD as a cornerstone of product development, organizations can unlock new opportunities, accelerate design iterations, and deliver groundbreaking solutions to meet evolving consumer needs and preferences.

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Section: Problem Formulationmentioning

confidence: 99%

Application of Computer Aided Design in Product Innovation and Development: Practical Examination on Taking the Industrial Design Process

Tan,

2024

IEEE Access

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“…In the current CAD software, this tree is unique for a given product in a given product file, even though this product structure may need to be reorganized to meet the requirements of different product development process stages [9]. This highlights the fact that the tree structure needs not be unique and multiple criteria take place for an assembly.…”

Section: Introductionmentioning

confidence: 99%

Enriching Assembly CAD Models With Functional and Mechanical Informations to Ease CAE

Foucault

́on

2010

Volume 3: 30th Computers and Information in Engineering Conference, Parts a and B

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Assembly models can be regarded as a kernel for product development processes where they can efficiently contribute to many product simulation behaviors. Assembly models are often containing 3D B-Rep CAD models, possibly with geometric constraints between the components and bill of materials. However, these models are often difficult to process for simulations because algorithms often face a very large diversity of configurations. One origin of such difficulties can be found in companies' practice where components may be represented differently from one company to another and their interfaces as well. In any case, interfaces between components are not explicit, which leads to tedious model processing tasks. This paper illustrates preparation of assembly models to ease CAE through an analysis of company practices, showing that a concept of conventional representations is an important starting point to efficient treatments of assemblies. In addition, it is described how interfaces and conventional representations can be combined to derive functional and mechanical information from geometric models of components. Illustrations of the proposed approach is given throughout the paper using various standard components.

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A Systems Approach to Product Line Requirements Reuse

Niu

Savolainen

Niu

et al. 2014

IEEE Systems Journal

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Processes to Integrate Design With Downstream Applications Through Product Shapes Adaptation

Cited by 3 publications

References 18 publications

Application of Computer Aided Design in Product Innovation and Development: Practical Examination on Taking the Industrial Design Process

Application of Computer Aided Design in Product Innovation and Development: Practical Examination on Taking the Industrial Design Process

Enriching Assembly CAD Models With Functional and Mechanical Informations to Ease CAE

A Systems Approach to Product Line Requirements Reuse

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