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Sustainable innovation pathway for mechanical products by inducing characteristic parameters

机译:通过诱导特征参数的机械产品可持续创新途径

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摘要

Mechanical product design per experiences of designers consumes unproportionally high manpower and time, as well as requires high relevance of designers' experiences. To address this issue and extend the specific design innovation for general application, innovation methods of mechanical products have become a hot research topic. However, the currently available innovation methods are limited to specific needs of the market, exhibiting the form of discrete solutions. Thus, the innovation process is not sustainable. To this gap, this study integrates the emerging digital twin technology with engineering innovation theory and knowledge reuse concepts to establish a systematic sustainable innovation pathway (SIP) by inducing characteristic parameters. The pathway spares the demands for designer's relevant experiences and avail sustainability of existing innovation methods. The derivation of the current SIP can be divided into six steps. To start with, the existing mechanical products based on users and market requirements are analyzed to synthesize general functional requirements. The characteristic parameters corresponding to the functional requirements are derived in the second step. Characteristic parameters are then specified and the potential problems which may occur in the induction of characteristic parameters are preliminarily solved. Digital twin technology is engaged to dynamically induce characteristic parameters. During the induction process, variation of related parameters due to changes in characteristic parameters are monitored. The problems that arise in variation may suggest new schemes, which solutions indicate new innovation directions. Finally, the candidate schemes of mechanical products according to different needs are identified. The formulated innovation plan and direction are archived in a knowledge base to establish a retrievable solution that matches the SIP. The applicability of current SIP is demonstrated by innovative design exemplification of a parking space management system.
机译:每个设计师经验的机械产品设计消耗不均衡的高人力和时间,以及设计师经验的高相关性。为解决此问题并扩展了一般应用的具体设计创新,机械产品的创新方法已成为一个热门的研究主题。但是,目前可用的创新方法仅限于市场的特定需求,展示了离散解决方案的形式。因此,创新过程不可持续。本研究通过诱导特征参数,将新兴数字双技术与工程创新理论和知识重用概念集成在一起,以建立系统的可持续创新途径(SIP)。该路径使设计师的相关经验的需求备忘,并利用现有创新方法的可持续性。当前SIP的推导可以分为六个步骤。首先,分析了基于用户和市场要求的现有机械产品,以合成一般功能要求。与功能要求对应的特征参数衍生在第二步中。然后指定特征参数,并且预先解决了特征参数诱导中可能发生的潜在问题。数字双床技术从事动态诱导特征参数。在感应过程中,监测由于特征参数的变化导致的相关参数的变化。变化中出现的问题可能会提出新的计划,该解决方案表示新的创新方向。最后,确定了根据不同需求的机械产品候选方案。配制的创新计划和方向是在知识库中存档的,以建立与SIP匹配的可检索的解决方案。目前SIP的适用性是通过停车空间管理系统的创新设计举例说明的。

著录项

  • 来源
    《Advanced engineering informatics 》 |2021年第8期| 101349.1-101349.19| 共19页
  • 作者单位

    School of Mechanical Engineering Hebei University of Technology Tianjin 300130 China National Technological Innovation Method and Tool Engineering Research Center Tianjin 300130 China;

    School of Mechanical Engineering Hebei University of Technology Tianjin 300130 China National Technological Innovation Method and Tool Engineering Research Center Tianjin 300130 China;

    School of Mechanical Engineering Hebei University of Technology Tianjin 300130 China;

    Institute of Engineering China University of Petroleum-Beijing at Karamay Karamay 834000 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Sustainable innovation pathway; Digital twin; Characteristic parameter induction; Knowledge base;

    机译:可持续的创新途径;数字双胞胎;特征参数诱导;知识库;

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