Discovery of key function module in complex mechanical 3D CAD assembly model for design reuse

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhoupeng Han ◽  
Chenkai Tian ◽  
Zihan Zhou ◽  
Qilong Yuan
Keyword(s):  
Complex Network ◽  
Design Thinking ◽  
Design Knowledge ◽  
Design Reuse ◽  
Assembly Model ◽  
Community Discovery ◽  
Content Type ◽  
3D Cad ◽  
3D Assembly ◽  
Function Module

Purpose Complex mechanical 3D computer-aided design (CAD) model embodies rich implicit design knowledge. Through discovering the key function parts and key function module in 3D CAD assembly model in advance, it can promote the designers’ understanding and reuse efficiency of 3D assembly model in design reuse. Design/methodology/approach An approach for discovering key function module in complex mechanical 3D CAD assembly model is proposed. First, assembly network for 3D CAD assembly model is constructed, where the topology structure characteristics of 3D assembly model are analyzed based on complex network centrality. The degree centrality, closeness centrality, betweenness centrality and mutual information of node are used to evaluate the importance of the parts in 3D assembly model. Then, a multi-attribute decision model for part-node importance is established, and the comprehensive evaluation for key function parts in 3D assembly model is accomplished by combining Analytic Hierarchy Process and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Subsequently, a community discovery of function module in assembly model-based Clauset–Newman–Moore (CNM)-Centrality is given in details. Finally, 3D CAD assembly model of worm gear reducer is taken as an example to verify the effectiveness and feasibility of proposed method. Findings The key function part in CAD assembly model is evaluated comprehensively considering assembly topology more objectively. In addition, the key function module containing key function part is discovered from CAD assembly model by using CNM-Centrality-based community discovery. Practical implications The approach can be used for discovering important design knowledge from complex CAD assembly model when reusing the assembly model. It can help designers capture and understand the design thinking and intent, improve the reuse efficiency and quality. Originality/value The paper first proposes an approach for discovering key function module in complex mechanical 3D CAD assembly model taking advantage of complex network theory, where the key function part is evaluated using node centrality and TOPSIS, and the key function module is identified based on community discovery.

Key assembly structure identification in complex mechanical assembly based on multi-source information

2017 ◽  
Vol 37 (2) ◽  
pp. 208-218 ◽  
Author(s):  
Zhoupeng Han ◽  
Rong Mo ◽  
Zhiyong Chang ◽  
Li Hao ◽  
Weilong Niu
Keyword(s):  
Complex Network ◽  
Evaluation Model ◽  
Structure Identification ◽  
Product Knowledge ◽  
Assembly Model ◽  
Mechanical Assembly ◽  
Function Structure ◽  
Content Type ◽  
Complex Product ◽  
Assembly Structure

Purpose The purpose of this paper is to find a method for key assembly structure identification in complex mechanical assembly. Three-dimensional model reuse plays an increasingly important role in complex product design and innovative design. Assembly model has become important resource of models reuse in enterprises, which contains certain function assembly structures. These assembly structures implicating plenty of design intent and design experience knowledge can be used to support function-structure design, modular design reuse and semantics analysis for complex product. Design/methodology/approach A method for identifying key assembly structures in assembly model is presented from the viewpoint of assembly topology and multi-source attributes. First, assembly model is represented based on complex network. Then, a two-level evaluation model is put forward to evaluate importance of parts assembled, and the key function parts in assembly can be obtained. After that, on the basis of the function parts, a heuristic algorithm upon breadth first searching is given to identify key assembly structures. Findings The method could be used to evaluate key function parts and identify key assembly structures in complex mechanical assembly according to the specific circumstances. Practical implications The method can not only help designers find the key assembly structure in complex mechanical assembly model, facilitate the function-structure designing and semantics analyzing, and thereby improve the efficiency of product knowledge reuse, but also assist in analyzing influence scope of key function part changing and optimization of the assembly process for complex mechanical assembly. Originality/value The paper is the first to propose a method for key assembly structure identification in complex mechanical assembly, where the key function parts can be evaluated through a two-level evaluation model, and the key assembly structures are identified automatically based on complex network.

A 3D assembly model retrieval method based on assembly information

2019 ◽  
Vol 39 (4) ◽  
pp. 556-565 ◽  
Author(s):  
Hu Qiao ◽  
Qingyun Wu ◽  
Songlin Yu ◽  
Jiang Du ◽  
Ying Xiang
Keyword(s):  
Three Dimensional ◽  
3D Models ◽  
Assembly Model ◽  
Frequent Subgraph Mining ◽  
Retrieval Method ◽  
Content Type ◽  
Practical Applications ◽  
Model Retrieval ◽  
3D Assembly ◽  
Low Efficiency

Purpose The purpose of this paper is to propose a three-dimensional (3D) assembly model retrieval method based on assembling semantic information to address semantic mismatches, poor accuracy and low efficiency in existing 3D assembly model retrieval methods. Design/methodology/approach The paper proposes an assembly model retrieval method. First, assembly information retrieval is performed, and 3D models that conform to the design intention of the assembly are found by retrieving the code. On this basis, because there are conjugate subgraphs between attributed adjacency graphs (AAG) that have an assembly relationship, the assembly model geometric retrieval is translated into a problem of finding AAGs with a conjugate subgraph. Finally, the frequent subgraph mining method is used to retrieve AAGs with conjugate subgraphs. Findings The method improved the efficiency and accuracy of assembly model retrieval. Practical implications The examples illustrate the specific retrieval process and verify the feasibility and reasonability of the assembly model retrieval method in practical applications. Originality/value The assembly model retrieval method in the paper is an original method. Compared with other methods, good results were obtained.

The generation of adaptive assembly from predicting change propagation

2015 ◽  
Vol 35 (3) ◽  
pp. 269-280 ◽  
Author(s):  
Hu Qiao ◽  
Rong Mo ◽  
Ying Xiang
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
Original Method ◽  
Change Propagation ◽  
Assembly Model ◽  
Practical Application ◽  
Content Type ◽  
Design Structure ◽  
Aided Design ◽  
Practical Implications

Purpose – The purpose of this paper is to establish an adaptive assembly, to realize the adaptive changing of the models and to improve the flexibility and reliability of assembly change. For a three-dimensional (3D) computer-aided design (CAD) assembly in a changing process, there are two practical problems. One is delivering parameters’ information not smoothly. The other one is to easily destroy an assembly structure. Design/methodology/approach – The paper establishes associated parameters design structure matrix of related parts, and predicts possible propagation paths of the parameters. Based on the predicted path, structured storage is made for the affected parameters, tolerance range and the calculation relations. The study combines structured path information and all constrained assemblies to build the adaptive assembly, proposes an adaptive change algorithm for assembly changing and discusses the extendibility of the adaptive assembly. Findings – The approach would improve the flexibility and reliability of assembly change and be applied to different CAD platform. Practical implications – The examples illustrate the construction and adaptive behavior of the assembly and verify the feasibility and reasonability of the adaptive assembly in practical application. Originality/value – The adaptive assembly model proposed in the paper is an original method to assembly change. And compared with other methods, good results have been obtained.

A “crescendo” model: designing food experiences for psychological well-being

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lia Zarantonello ◽  
Silvia Grappi ◽  
Marcello Formisano ◽  
Bernd H. Schmitt
Keyword(s):  
Life Satisfaction ◽  
Design Thinking ◽  
Well Being ◽  
Future Research ◽  
Psychological Well Being ◽  
Content Type ◽  
Perceived Life Satisfaction ◽  
Consumer Experiences ◽  
Mind Set ◽  
The Relationship

Purpose This paper aims to advance the design-thinking approach in food from an engineering mind-set toward a positive psychology perspective by investigating how consumer experiences evoked by food-related activities can facilitate, stimulate and enhance individuals’ happiness and perceptions of life satisfaction. Design/methodology/approach A diary field experiment was conducted. Participants from a major European city were asked to reflect on their food-related activities, provide descriptions and answer questions on experiential stimulation derived from these activities in relation to happiness and perceived life satisfaction. Findings Food-related activities generally result in positive consumer experiences and psychological well-being. Experiential stimulation resulting from food activities is positively related to perceived life satisfaction directly and indirectly via pleasure and meaning. Although the authors found an overall positive relationship between these constructs, they also found differences based on the experience type considered. A “crescendo model” of experiences that details how experiences lead to happiness and perceived life satisfaction is presented. Research limitations/implications This study is largely exploratory. Future research should adopt an experimental approach and further test the relationship between experiential stimulation, happiness and perceived life satisfaction in the context of food. Practical implications The paper offers innovation teams in food companies a practical “crescendo model” that can be used to design product–consumer interactions. Originality/value The research bridges literatures on design thinking, psychological well-being and consumer experiences. By studying the relationship between experiences, happiness and perceived life satisfaction in the context of food, the findings contribute to research on food well-being by expanding the notion of happiness seen only as pleasure. The research also contributes to work on design thinking by offering an experiential framework that contributes to the notion of consumer empathy.

A collaborative application of design thinking and Taguchi approach in restaurant service design for food wellbeing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
G. Rejikumar ◽  
Asokan-Ajitha Aswathy ◽  
Ajay Jose ◽  
Mathew Sonia
Keyword(s):  
Food Industry ◽  
Design Thinking ◽  
Service Design ◽  
Service Research ◽  
Taguchi Approach ◽  
Simple Method ◽  
Content Type ◽  
Wellbeing Index ◽  
Food Movement ◽  
Practical Implications

PurposeInnovative restaurant service designs impart food wellbeing to diners. This research comprehends customer aspirations and concerns in a restaurant-dining experience to develop a service design that enhances the dining experience using the design thinking approach and evaluates its efficiency using the Taguchi method of robust design.Design/methodology/approachThe sequential incidence technique defines diners' needs, which, followed by brainstorming sessions, helped create multiple service designs with important attributes. Prototype narration, as a scenario, acted as the stimulus for evaluators to respond to the WHO-5 wellbeing index scale. Scenario-based Taguchi experiment with nine foodservice attributes in two levels and the wellbeing score as the response variable helped identify levels of critical factors that develop better FWB.FindingsThe study identified the best combination of factors and their preferred levels to maximize FWB in a restaurant. Food serving hygiene, followed by information about cuisine specification, and food movement in the restaurant, were important to FWB. The experiment revealed that hygiene perceptions are critical to FWB, and service designs have a significant role in it. Consumers prefer detailed information about the ingredients and recipe of the food they eat; being confident that there will be no unacceptable ingredients added to the food inspires their FWB.Research limitations/implicationsTheoretically, this study contributes to the growing body of literature on design thinking and transformative service research, especially in the food industry.Practical implicationsThis paper details a simple method to identify and evaluate important factors that optimize FWB in a restaurant. The proposed methodology will help service designers and technology experts devise settings that consider customer priorities and contribute to their experience.Originality/valueThis study helps to understand the application of design thinking and the Taguchi approach for creating robust service designs that optimize FWB.

scholarly journals Lessons learned: intentional implementation of second makerspaces

2019 ◽  
Vol 47 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Heather Moorefield-Lang
Keyword(s):  
Design Methodology ◽  
Design Thinking ◽  
Planning Process ◽  
Research Participant ◽  
Lessons Learned ◽  
The Body ◽  
Planning Study ◽  
Content Type ◽  
Scholarly Publications ◽  
Study Results

Purpose What happens when a librarian outgrows their maker learning location or transfers to a new library? The purpose of this study is to explore the planning process for second and/or new library makerspaces. Is the planning more intentional? Is there more focus on how the makerspace should be put together for the community served? Is the community further involved? This study will explore those questions and more. Design/methodology/approach Using content analysis, the perspectives of practicing librarians in the achievement of subsequent makerspaces are examined. Data include librarian interviews, an analysis using NVivo 11 through the lens of design thinking, and a final review using member checking by each research participant. Findings Makerspaces continue to grow in popularity in school and public/community libraries. What is unexplored is the moving from a first makerspace to the implementation of a second and/or new maker learning location. More intentional planning is involved. The community served by the library is further engaged in the planning. Study results illustrate the value that community insight and intentional planning play in the design and implementation of makerspaces. Originality/value Makerspaces in libraries continue to grow in popularity; in turn, the body of peer-reviewed, scholarly publications also continues to grow. Librarians in the field are beginning to move from their first to second makerspaces. This study investigates those perspectives. Much can be gained from the experiences of those who have implemented their second or third makerspace.

Innovative exploration of safe in-flightcrew escape options

2018 ◽  
Vol 90 (8) ◽  
pp. 1221-1226
Author(s):  
Sreedhar Karunakaran
Keyword(s):  
Wind Tunnels ◽  
Test Case ◽  
Test Cases ◽  
Flight Crew ◽  
External Interference ◽  
Content Type ◽  
Transport Aircraft ◽  
3D Cad ◽  
Computational Fluid Dynamics Cfd ◽  
Actual Trial

Purpose The purpose of this paper is to explore various in-flight crew escape options of a prototype transport aircraft and finalize the option offering safest crew egress for different combinations of contingencies and flight conditions. Design/methodology/approach Various egress options were explored through simulation in a computational fluid dynamics (CFD) software using aircraft 3D CAD model and scalable digital mannequins. For this, certain important contingencies which best describe the extreme aircraft behaviour were identified. Crew escape options, which have least external interference in expected egress trajectory, were selected. Several test simulations representing each feasible combination of contingency, escape option and flight condition were simulated. The option which offers safe crew escape in each test case is deemed to be the safest egress option for the test aircraft. Findings Among five options explored, crew escape through forward ventral hatch provided the safest crew escape for all test cases. The selected option was validated for robustness with additional test cases modelling different anthropometric characteristics of 5th and 50th percentile pilot populations with different postures. Originality/value In-flight validation of safe crew escape option is infeasible by actual trial. Exploration of safe crew options for required number of test cases by any analytical method or by wind tunnels tests is tedious, time consuming and extremely expensive. On the other hand, exploration of safest crew option by CFD, besides being first of its kind, provides convenient option to configure, test and validate different test cases with unmatched benefits in time, cost and simplicity.

scholarly journals From summative to developmental

2019 ◽  
Vol 27 (3) ◽  
pp. 241-248 ◽  
Author(s):  
Carolyn Steele Gray ◽  
James Shaw
Keyword(s):  
Integrated Care ◽  
Design Thinking ◽  
Complex Interventions ◽  
Service Design ◽  
Lessons Learned ◽  
Portal System ◽  
Contextual Influences ◽  
Content Type ◽  
Advantages And Disadvantages ◽  
Patient Reported

Purpose Models of integrated care are prime examples of complex interventions, incorporating multiple interacting components that work through varying mechanisms to impact numerous outcomes. The purpose of this paper is to explore summative, process and developmental approaches to evaluating complex interventions to determine how to best test this mess. Design/methodology/approach This viewpoint draws on the evaluation and complex intervention literatures to describe the advantages and disadvantages of different methods. The evaluation of the electronic patient reported outcomes (ePRO) mobile application and portal system is presented as an example of how to evaluate complex interventions with critical lessons learned from this ongoing study. Findings Although favored in the literature, summative and process evaluations rest on two problematic assumptions: it is possible to clearly identify stable mechanisms of action; and intervention fidelity can be maximized in order to control for contextual influences. Complex interventions continually adapt to local contexts, making stability and fidelity unlikely. Developmental evaluation, which is more conceptually aligned with service-design thinking, moves beyond these assumptions, emphasizing supportive adaptation to ensure meaningful adoption. Research limitations/implications Blended approaches that incorporate service-design thinking and rely more heavily on developmental strategies are essential for complex interventions. To maximize the benefit of this approach, three guiding principles are suggested: stress pragmatism over stringency; adopt an implementation lens; and use multi-disciplinary teams to run studies. Originality/value This viewpoint offers novel thinking on the debate around appropriate evaluation methodologies to be applied to complex interventions like models of integrated care.

scholarly journals Deriving Design Knowledge Graph for Complex Sociotechnical Systems Using the AIA Design Thinking

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tao Shen ◽  
Chan Gao ◽  
Yukari Nagai ◽  
Wei Ou
Keyword(s):  
Design Thinking ◽  
Integrated Approach ◽  
Structure Design ◽  
Sociotechnical Systems ◽  
Design Knowledge ◽  
Knowledge Graph ◽  
Sociotechnical System ◽  
Complex Design ◽  
Validation Experiment ◽  
Concept Framework

The AIA design thinking has been validated in complex design tasks, which includes three overlapping design thinking fields and uses the knowledge field theory as a theoretical mechanism of knowledge flow among design thinking fields. Meanwhile, the design of complex sociotechnical systems highly relies on multidisciplinary knowledge and design methods. Despite the emergence of knowledge management techniques (ontology, expert system, text mining, etc.), designers continue to store knowledge in unstructured ways. To facilitate the integration of knowledge graph and design thinking, we introduce an integrated approach to structure design knowledge graph with the AIA design thinking, which organizes existing design knowledge through Agent (concept)-Interaction (relation)-Adaptation (concept) framework. The approach uses an optimized convolutional neural network to accomplish two tasks: building concept graph from text and stimulating design thinking information processing for complex sociotechnical system tasks. Based on our knowledge graph, the validation experiment demonstrates the advantages of promoting the designer’s extension of idea space and idea quality.

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