Smart concept design based on recessive inheritance in complex electromechanical system

Zhang, Peng; Nie, Zifeng; Dong, Yafan; Zhang, Zhimin; Yu, Fei; Tan, Runhua

doi:10.1016/j.aei.2019.101010

Cited by 24 publications

(7 citation statements)

References 12 publications

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“…In order to use the new two-dimensional system conveniently, an LT table composed of LT dimensions was established [38]. Each cell in the LT table contains one or more physical quantities.…”

Section: Lt Dimensionmentioning

confidence: 99%

Product Improvement Using Knowledge Mining and Effect Analogy

Wang,

Tan,

Peng

2024

Applied Sciences

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Different from new product development, design improvement aims to solve the problems of existing products. Although design knowledge and effect tools have been applied in product improvement, the existing methods for design improvement are limited in their specific application areas. A general method of product improvement is proposed in this paper using the knowledge mining and effect analogy. The length–time dimension is introduced to link the problem analysis and problem-solving for the first time. This method includes the effect knowledge base construction, length–time dimension extraction, effect retrieval, effect ranking, analogy object selection, and effect structure mapping. This method integrates a variety of algorithms and software tools in design knowledge mining to improve the efficiency of the effect analogy for product improvement. Through the comparative analysis of three effect retrieval methods and design improvement of a button battery ring device, the superiority and feasibility of the proposed method are verified.

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Section: Lt Dimensionmentioning

confidence: 99%

Product Improvement Using Knowledge Mining and Effect Analogy

Wang,

Tan,

Peng

2024

Applied Sciences

Self Cite

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“…The LT dimension is a highly abstract representation of physical quantities, which aims to represent arbitrary physical quantities using the product of different powers of length (L) and time (T) dimensions [82,83], e.g., the LT dimension of "pressure" is L 2 T −4 . As with some kinds of unified relationships between different physical quantities, group theory and topological methods are used to obtain the analytic relationship of physical constants for the LT chart (Figure 12) [83,84]. As shown in Figure 12, there are a total of 50 numbered LT dimensions in the LT chart.…”

Section: Selection Strategies For Extending Scenario Elementsmentioning

confidence: 99%

“…constants for the LT chart (Figure 12) [83,84]. As shown in Figure 12, there are a total of 50 numbered LT dimensions in the LT chart.…”

Section: Selection Strategies For Extending Scenario Elementsmentioning

confidence: 99%

Identification of Innovative Opportunities Based on Product Scenario Evolution

Wang,

Tan,

Peng

et al. 2023

Systems

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Innovation is a key factor for product development. Identifying innovative opportunities is the first step in innovative product design. Traditional methods of identifying innovative opportunities, such as market surveys and brainstorming, are limited by product users’ and designers’ experiences and lack systematic approaches to generate breakthrough innovations. This paper proposes a method to identify innovative opportunities based on product scenario evolution. The method models a product scenario based on product scenario elements, states, and behaviors. A Type II hierarchical function model is constructed based on the transformation and abstraction hierarchy of the product function model to identify target elements for the scenario evolution. Based on the theory of basic element extension and needs evolution characteristics, the method of extending target scenario elements is proposed. Based on the new scenario element sets and their impact, diffusion, identification, and evaluation methods are proposed for innovation opportunities. Potential opportunities are explored for product innovation from a scenario evolutionary perspective, which updates knowledge and technology reserves and finds new market opportunities for industries. The feasibility and effectiveness of the method are verified using the innovative design of a polyethylene (PE) pipeline hot-melt welding machine.

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“…A small number of new products are developed based on multiple existing products, combining the functions of multiple existing products to design the new product. When analyzing this type of product, according to the principal solutions corresponding to the function units and the relationship between existing product components, the function models of several existing products can be combined through the trimming algorithm in TRIZ to establish an initial function model of the product [27]. After establishing the new product function model, the relationship of components in the function model can be expressed using Formula (3), and then the correspondence between components and functions can be confirmed with Formula (2).…”

Section: The Initial Function Solving and Initial Function Model Cons...mentioning

confidence: 99%

The Research of Complex Product Design Process Model under the Concept of Self-Recovery

Zhang

Niu

et al. 2022

Applied Sciences

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The working environment of contemporary mechanical products is becoming more complex, and the working conditions are becoming more extreme. This has led to a significant increase in the frequency of problems in mechanical products. In order to reduce the frequency of human repair after problems, the application of the self-recovery concept has become a hot research topic in the area of smart design. However, the current application of the self-recovery concept is mostly limited to the structural and parametric levels, with less research at the functional level, which may lead to a waste of resources within products. To solve this problem, this research combines the functional-level product research method with the self-recovery concept and establishes a design process model of complex products under functional self-recovery. This model extends the application scope of the self-recovery concept and improves the efficiency of resource utilization in the product. The design process model has six steps. First, according to the user requirements and the existing product, the initial function solving is carried out, and the initial function model of the product is established. Next, the main functions of the product are determined based on the initial function model of the product. Then, according to the determined main functions of the product, combined with the parameters marked in the function structure, the self-diagnosis function is designed. After that, the LT matrix and effect library are used to design the self-regulation function corresponding to the main functions, and the parameters are used to screen the self-regulation function design scheme. Finally, according to the design scheme of the self-diagnosis function and self-regulation function, the functional period oriented to self-recovery is constructed to ensure the realization of the main functions of the product. The effectiveness of the design process model is proved through the design process of an intelligent photovoltaic power generation system at the end of the paper.

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Smart concept design based on recessive inheritance in complex electromechanical system

Cited by 24 publications

References 12 publications

Product Improvement Using Knowledge Mining and Effect Analogy

Product Improvement Using Knowledge Mining and Effect Analogy

Identification of Innovative Opportunities Based on Product Scenario Evolution

The Research of Complex Product Design Process Model under the Concept of Self-Recovery

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