Multi-Analogy Innovation Design Based on Digital Twin

Nie, Zifeng; Zhang, Peng; Peng, Qingjin; Zhang, Zhimin

doi:10.3390/machines10080652

Cited by 5 publications

(5 citation statements)

References 47 publications

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“…In this paper, a generative product design method, KENPI method, is proposed, which mainly includes mapping model construction, style transfer model construction, and transfer result analysis [31].…”

Section: Kenpi Methodmentioning

confidence: 99%

Product Innovation Design Method Based on BP Neural Network

Huang¹

2022

Advances in Multimedia

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Innovative product design is the core problem of modern industry and the source power of enterprise development. With the continuous improvement of China’s material level, product innovation design has changed from functional needs to emotional needs, and the product design method centered on users’ emotional needs has attracted much attention. With the emergence of new technologies such as artificial intelligence and big data, the automation and intelligence of advanced algorithms and innovative design methods for online product decision driven by multimodal multimedia data in e-commerce have become inevitable trends in the field of product design, and it is a big challenge to improve the innovative design ability of products by using information technology. In order to solve this problem, based on the research of BP neural network technology, this paper puts forward an innovative product design method based on image-Kempi method. The color features of images are reconstructed and integrated, and then transferred to product modeling, so as to generate new products with both content image modeling features and style image color features, which brings visual inspiration to users. The results show that KENPI method combines the theories of Kansei engineering, convolutional neural network, and neural style transfer, and establishes a mapping model between product modeling elements and product semantics. Convolutional neural network and neural style transfer model are used to extract, reconstruct, and integrate the color features of style diagrams, and transfer them to product modeling to design new product images. By evaluating the image quality and comparing the product semantics before and after the migration, the validity and feasibility of the migration are verified. Based on BP neural network, a nonlinear mapping model between product attribute space and product semantic space is constructed, and the generalization ability of the model is evaluated, which verifies the feasibility and effectiveness of this method. The research results have important theoretical guiding significance for improving the innovative design ability of enterprises, enhancing product competitiveness, and customer satisfaction.

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Section: Kenpi Methodmentioning

confidence: 99%

Product Innovation Design Method Based on BP Neural Network

Huang¹

2022

Advances in Multimedia

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“…Dynamicity: the new electro-hydraulic actuation system achieves faster actuation. 19. Periodic Action: the contradiction again recommends the application of an oscillating movement for the switch rail drive produced using an electric motor actuator, faster than a mechanical system.…”

Section: Design Of the Switch Railmentioning

confidence: 99%

“…Recently, TRIZ has been used in many different applications. In [19], the authors introduced a multianalogy innovation design model that combined the concept of similarity in both design-oriented complex systems and solving invention challenges using TRIZ. To enhance practicality, the model incorporates the use of a digital twin, which incorporates real design information, manufacturing data and maintenance information during the design process.…”

Section: Introduction and Overviewmentioning

confidence: 99%

Efficient Railway Turnout Design: Leveraging TRIZ-Based Approaches

Sala,

Felez,

Cano-Moreno

2023

Applied Sciences

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This study focuses on the design and improvement of railway turnouts, which are critical yet complex parts of the railway infrastructure. As they are responsible for track discontinuity and potential derailments, turnouts pose significant challenges in terms of slack, misalignment and rail breakage. A new concept related to the design of turnouts, including switches and crossings, is presented in this paper. The application of TRIZ (Theory of Inventive Problem Solving) principles, specifically the use of the contradiction matrix, was instrumental to achieving these innovative designs for railway systems and represents the main contribution of the paper. Based on the systematic use of the TRIZ principles, the proposed design addresses the problems associated with switches and crossings by replacing the classic frog with a movable element that sits in the crossing gap and reduces the existing gap, thus minimising the length of the rail gap and, consequently, providing greater contact with the rail, minimising wheel impacts on the rail gap and, consequently, decreasing the risk of derailment. By reducing rail contact forces, which are a major contributor to derailments, the risk of derailment is reduced. This study also introduces a new design for the switch rail system using a piston mechanism with an up and down stroke, which is accompanied by a rotating motor at the top for controlled movement. Finally, numerical simulations were performed to validate the proposed designs.

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“…The usage of the term "Digital Twin" has been increasing rapidly in the academic community with the manufacturing domain as the major contributor [4,7,13,14]. This leap in the research of DTs is mainly related to the demand by the industrial sector and due to the advances in the Internet and Communication Technologies (ICT) domain [15,16].…”

Section: Literature Review On Designing and Developing Digital Twinsmentioning

confidence: 99%

Ontology-Driven Guidelines for Architecting Digital Twins in Factory Automation Applications

2022

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The rapid emerging technologies in various fields permitted the creation of simulation tools. These tools are designed to replicate physical systems in order to provide faster, cheaper and more detailed illustrative analysis of the physical system. In this regard, the concept of digital twins has been introduced to generally define these simulation tools. In fact, and according to the creator of the digital twin term Micheal Grieves, a digital twin is defined as a physical system, a digital replica of the physical system and information flow between the former parts. This definition is simple and generic for describing digital twins and yet, holistic. This broad definition creates a challenge for developers who target the development of such applications. Therefore, this paper presents a paradigm for architecting digital twins for manufacturing processes. The approach is inspired by the definitions of the ISA95 standard and the onion concept of computer applications to create multi-layer and multi-level concepts. Furthermore, and to satisfy the different required features by industries, the approach considers a multi-perspective concept that allows the separation of the digital twin views based on functionality. This paradigm aims at providing a modular, scalable, reusable, interoperable and composable approach for developing digital twins. Then, an implementation of the approach has been introduced using an ontology-based system and the IEC61499 standard. This implementation has been demonstrated on a discrete manufacturing assembly line.

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Multi-Analogy Innovation Design Based on Digital Twin

Cited by 5 publications

References 47 publications

Product Innovation Design Method Based on BP Neural Network

Product Innovation Design Method Based on BP Neural Network

Efficient Railway Turnout Design: Leveraging TRIZ-Based Approaches

Ontology-Driven Guidelines for Architecting Digital Twins in Factory Automation Applications

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