Managing Functional Coupling Sequences to Reduce Design Complexity During Concept Improvements

Author(s):  
Chu-Yi Wang ◽  
Stephen C.-Y. Lu ◽  
Ang Liu

A large part of design complexity is originated during the concept generation phase when coupling relationships are established between functional requirements and design parameters. Therefore, one of the important tasks in concept improvement is to properly manage the sequence of these functional couplings to minimize the design complexity. This paper introduces a new method, called Design Coupling Sequence (DCS), which, given a design matrix generated during conceptual design, can symmetrically guide the designer through this sequencing task to reduce the design complexity. DCS is developed with sound foundations from logics and mathematics, and useful in engineering practice as real-world design tasks become increasingly complex.

2019 ◽  
Vol 301 ◽  
pp. 00011
Author(s):  
Chu-Yi Wang ◽  
Ang Liu ◽  
Stephen Lu

Because parametric values are unknown during initial concept generation, the Axiomatic Design Theory uses the binary design matrix (DM) to represent the coupling relationship between functional requirements and design parameters. However, given an existing product, it would be possible to employ the numerical DM that has more detailed information than the binary DM to help improve the design concept. This paper proposed a two-phase method to create a numerical DM in phase I and manage the functional couplings in phase II for concept improvement of existing product. A decomposition-definition-levelling framework and the Puritan-Bennett’s 0-1-3-9 level rating are employed to evaluate the system impact of each functional coupling to create the numerical DM of an existing design concept. The Design Coupling Sequence (DCS) approach was extended to use the numerical DM to improve this design concept. Compared with other numerical matrices for product development and the structured approach by Su et al., our method is more generic and faster, providing useful details yet still able to maintain the dominance of the high-level couplings.


Author(s):  
Mijeong Shin ◽  
James R. Morrison ◽  
Hyo Won Suh

With the increasing environmental sophistication of consumers, there is a need to consider environmental factors and sustainability in the design process. This paper proposes a design methodology intended for software implementation called eAD+ to address the following four issues: 1) there are inherent couplings between eco-factors and product design parameters, 2) eco-factors are seldom structured for ready use within all phases of the design process, 3) there is a need for a formal feedback mechanism from the results of eco-analysis to the design process, and 4) it can be difficult to identify which design choice causes the most egregious environmental issue or functional coupling. eAD+ is based primarily on the Axiomatic Design (AD) methodology and addresses these issues as follows. First, AD directly identifies couplings between the functional requirements (FRs) in a design so that efforts, such as TRIZ, can be applied to address them. Second, as common eco-factors do not provide sufficient structure for inclusion in the AD framework, we develop structured eco-FRs and constraints. These are included alongside the product FRs throughout the design process. Third, the subset of the design matrix (DM) relating the eco-FRs to the design parameters explicitly incorporates feedback from eco-analysis into the design process. Here a database containing environmental (or sustainability) information is employed to evaluate the design. Fourth, we employ an augmented DM (drawing inspiration from the House of Quality of QFD) that provides weights highlighting which design parameter has the greatest influence on eco-factors and functional couplings.


2013 ◽  
Vol 475-476 ◽  
pp. 1402-1405
Author(s):  
Xian Fu Cheng ◽  
Qi Hang Zhu

A new design method for product family was presented based on adaptable product platform. Firstly, customer demands were analyzed for bridge crane. Secondly, axiomatic design was utilized as framework to zigzaging mapping between functional requirements and design parameters, and design matrix was established. Then the sensitivity analysis among design parameters and between design parameters and functional requirements was done. The design relation matrix was established and relation degree among design parameters was calculated. Based on above analysis, the platform parameters were identified.


Author(s):  
Chu-Yi Wang ◽  
Stephen C.-Y. Lu

Abstract Product development involves many trade-offs between upstream objectives (e.g., customer needs) and downstream constraints (e.g., modularity, manufacturability, etc.) Conceptual design, when design concepts are generated and improved, is the most important product development stage when these tradeoffs are made. However, when designers try to improve a known design concept of a current product during product development, it is often difficult for them to be both creative (i.e., meeting new objectives) and practical (i.e., incorporating existing constraints) at the same time. This paper presents a method that models known design concepts and manages their functional couplings for designers to achieve these difficult balances systematically during concept improvement. The modeling involves three steps. The first is to represent the known design concept as a dual-hierarchy by decomposing it into sub-concepts and identifying their functional requirements. The second is to find “functional schematics,” defined as a design matrix with minimal complexity, to manage functional couplings of the sub-concepts. The third is to build the executable modules based on the functional schematics. The model help designers achieve the most desirable level of upstream-downstream balance. A coffeemaker example is included to show how such a model of design concept is created and its design coupling modules are managed. The result also suggests that this approach can be used to create a “product family” from the base (or an existing) product to meet continually changing market demands.


2011 ◽  
Vol 328-330 ◽  
pp. 75-80 ◽  
Author(s):  
Wei Wang ◽  
Ping Jiang ◽  
Jia Qi Wang ◽  
Run Hua Tan

In the mapping from functional requirements to design parameters in Axiomatic Design, a relation model about design parameters will be discussed. According to this model, use trimming which is redefined with Axiomatic Design and Evolution Mode of TRIZ to reduce coupling. At last, a JYS - Z electric brush type filter is described to prove the process.


Author(s):  
Hilario L. Oh ◽  
Taesik Lee ◽  
Raymond Lipowski

The primary objective in design is to achieve the target value of the design’s functional requirement. In design with multiple functional requirements, one way a design fails is the inability to converge to the multiple target values in spite of iterative adjustment of the design parameters. This is symptom of a design that fails to perform in the presence of functional coupling. Functional coupling occurs when two or more functional requirements are affected by a common set of design parameters. It is particularly difficult to identify and break when it involves inter-relation loops created among large number of functional requirements, typical of a large complex system. This paper presents a structured method based on the graph theory to effectively identify and eliminate functional couplings in a design. Use of the graph theory in this context is natural by the fact that inter-relations among functional requirements and design parameters can be represented by a digraph. Each inter-relation corresponds to an arc of the digraph, and functional coupling is equivalent to a cycle in it. The proposed method consists of: 1) represent interactions among functional requirements and design parameters as a digraph, 2) construct the cycle matrix for the digraph, 3) identify those candidate sets of arcs that, if removed, will destroy all cycles in the digraph, and 4) examine engineering feasibility of the candidate solutions. Once target interactions, i.e. arcs, are determined, the design parameters responsible for those interactions are modified to implement the solution. To demonstrate the effectiveness of the proposed method, we apply it to a large complex system, the car door to body, involving 28 functional requirements and design parameters.


2021 ◽  
Vol 13 (7) ◽  
pp. 168781402110343
Author(s):  
Mei Yang ◽  
Yimin Xia ◽  
Lianhui Jia ◽  
Dujuan Wang ◽  
Zhiyong Ji

Modular design, Axiomatic design (AD) and Theory of inventive problem solving (TRIZ) have been increasingly popularized in concept design of modern mechanical product. Each method has their own advantages and drawbacks. The benefit of modular design is reducing the product design period, and AD has the capability of problem analysis, while TRIZ’s expertise is innovative idea generation. According to the complementarity of these three approaches, an innovative and systematic methodology is proposed to design big complex mechanical system. Firstly, the module partition is executed based on scenario decomposition. Then, the behavior attributes of modules are listed to find the design contradiction, including motion form, spatial constraints, and performance requirements. TRIZ tools are employed to deal with the contradictions between behavior attributes. The decomposition and mapping of functional requirements and design parameters are carried out to construct the structural hierarchy of each module. Then, modules are integrated considering the connections between each other. Finally, the operation steps in application scenario are designed in temporal and spatial dimensions. Design of cutter changing robot for shield tunneling machine is taken as an example to validate the feasibility and effectiveness of the proposed method.


2021 ◽  
pp. 109963622110204
Author(s):  
Abdallah Ghazlan ◽  
Tuan Ngo ◽  
Tay Son Le ◽  
Tu Van Le

Trabecular bone possesses a complex hierarchical structure of plate- and strut-like elements, which is analogous to structural systems encountered in engineering practice. In this work, key structural features of trabecular bone are mimicked to uncover effective energy dissipation mechanisms under blast loading. To this end, several key design parameters were identified to develop a bone-like unit cell. A computer script was then developed to automatically generate bone-like finite element models with many combinations of these design parameters, which were simulated under blast loading. The optimal structure was identified and its performance was benchmarked against traditional engineered cellular structures, including those with hexagonal, re-entrant and square cellular geometries. The bone-like structure showed superior performance over its engineered counterparts using the peak transmitted reaction force and energy dissipation as the key performance criteria.


2015 ◽  
Vol 713-715 ◽  
pp. 825-828 ◽  
Author(s):  
Peng Fei Peng ◽  
Li Gong ◽  
Qian Yu

The problems confronting multi-UAV systems when carrying out tasks are described from the perspective of architecture. According to the traits of multi-UAV systems and the needs when performing combat tasks, the functional requirements are analyzed. And a scheme of the system architecture for multi-UAV systems based on autonomous cooperation is put forward according to the thoughts of autonomous cooperative control. Meanwhile, the architecture reconstruction method of f multi-UAV system architecture under conditions of uncertainty is further studied. The design process showed that: the proposed architecture can meet the functional requirements and has good application prospects in future engineering practice.


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