Optimal adaptable design for creating the changeable product based on changeable requirements considering the whole product life-cycle

Xue, Deyi; Hua, Guang Ru; Mehrad, Vahid; Gu, Peihua

doi:10.1016/j.jmsy.2011.04.003

Cited by 42 publications

(17 citation statements)

References 14 publications

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“…The customerrelated information is useful for enhancing product personalisation and adaptability. The massive customer voices must be processed to be useful for task clarification (Xue et al 2012). For example, a function recommender system can be incorporated into DT to recommend exciting new functions for a target product through analysis of readily available customer reviews published on e-commerce platforms.…”

Section: Data Integrationmentioning

confidence: 99%

Digital twin-driven product design framework

Tao

Sui

Liu

et al. 2018

International Journal of Production Research

761

289

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With the advent of new generation information technologies in industry and product design, the big data-driven product design era has arrived. However, the big data-driven product design mainly places emphasis on the analysis of physical data rather than the virtual models, in other words, the convergence between product physical and virtual space is usually absent. Digital twin, a new emerging and fast growing technology which connects the physical and virtual world, has attracted much attention worldwide recently. This paper presents a new method for product design based on the digital twin approach. The development of product design is briefly introduced first. The framework of digital twin-driven product design (DTPD) is then proposed and analysed. A case is presented to illustrate the application of the proposed DTPD method.

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Section: Data Integrationmentioning

confidence: 99%

Digital twin-driven product design framework

Tao

Sui

Liu

et al. 2018

International Journal of Production Research

761

289

View full text Add to dashboard Cite

show abstract

“…5 This lack of accuracy has limited the usage of the robot in many fields such as automotive, aerospace and aeronautics, moulds and die, and high-precision components. [6][7][8][9][10] Aiming at pioneering a new generation of adaptive production systems, 11,12 the European Unionfunded research program COMET (COMET ProjectPlug and Produce COMponents and METhods for adaptive control of industrial robots enabling cost-effective, high-precision manufacturing in factories of the future) has listed the three most critical limitations currently preventing the use of robots in typical machining applications, the first being is the lack of absolute positioning accuracy. 8,13 Large-volume metrology systems [14][15][16][17] with which robots can integrate provide numerous alternatives for improving absolute positioning accuracy in robotic workcells, that is, transferring the accuracy problem to the integrated metrology system, 18 as opposed to simply making use of calibration procedures.…”

Section: Introductionmentioning

confidence: 99%

Validation and mathematical model of workspace Measuring and Positioning System as an integrated metrology system for improving industrial robot positioning

Xue

Zhu

Zhao

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part B:

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This article aims to improve the absolute accuracy of an individual industrial robot by means of integrating itself with the workspace Measuring and Positioning System, which is currently under development at Tianjin University, China. We found that the absolute positioning error persists in the robot base frame, whereas the errors, both in position and orientation, can be reduced by changing the reference frame from the robot to the integrated metrology system, that is, the workspace Measuring and Positioning System. What it needs more is several additional corrective movements. And this correction work just needs roughly calibrated parameters between the robot frame and the workspace Measuring and Positioning System frame. To validate it, we present the experiment which demonstrates that the absolute error of the industrial robot can be less than 0.2 mm by virtue of the workspace Measuring and Positioning System and the convergent corrective movements. Aiming to explain the results, this study deduces the mathematical model in detail about the integration of the robot with the workspace Measuring and Positioning System. The model explains why the integration of the robot with the workspace Measuring and Positioning System applies. First, the model tells that there exists a low requirement, that is, the tolerable rough level of the parameters between the robot frame and the workspace Measuring and Positioning System frame, for assuring the convergence of the corrective movements. Second, the relationship among the relevant factors in the corrective process is given. Finally, besides the workspace Measuring and Positioning System, this model is of general significance for any available metrology systems with which the industrial robot can integrate, and it may also provide theoretical instructions for the improvement of the robot off-line programming, that is, the robot can work at a higher accuracy provided by the integrated metrology system.

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“…Xue et al (2012) describe how different configurations can be created, focusing on modular configuration. Wiendahl (2009) suggests an approach for creating adaptable manufacturing systems that will be responsive to market changes.…”

Section: Adaptable Designmentioning

confidence: 99%

A two-stage model of adaptable product platform for engineering-to-order configuration design

Levandowski

Jiao

Johannesson

2015

Journal of Engineering Design

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Product platforms are used to enable mass customisation to serve a large number of different market segments. The products are configured-to-order, meaning they are compiled using a variety of pre-developed building blocks. However, the building blocks that make up a traditional platform can only serve customer requirements that are known. Engineering-to-order (ETO) development serves companies where customer requirements vary frequently. Here, designs are tailored to fit specific customer requirements upon request, an approach which is time consuming if serving a large number of different customers. This paper presents an approach for ETO configuration design. It comprises a two-stage model that enables design reuse while simultaneously maintaining flexibility to manage changes in customer requirements. The proposed artefact model is configured modularly to progress the design work and to create an architecture to work with, and scalable flexibility is maintained until the customer requirements are considered stable enough to optimise the final design. An illustrative case shows the approach's feasibility to a twostage configuration of a rear frame of a jet engine. While using overall design considerations to select modules, trade-off curves are used for final scalable configuration. A change in customer requirements is accommodated by scalable flexibility, thereby creating an adaptable product platform.

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Optimal adaptable design for creating the changeable product based on changeable requirements considering the whole product life-cycle

Cited by 42 publications

References 14 publications

Digital twin-driven product design framework

Digital twin-driven product design framework

Validation and mathematical model of workspace Measuring and Positioning System as an integrated metrology system for improving industrial robot positioning

A two-stage model of adaptable product platform for engineering-to-order configuration design

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