Abstract
The foundation of product conceptual design depends heavily on the amount of knowledge and the usage of knowledge. How to retrieve relevant knowledge from knowledge resources accumulated by the enterprises to support product conceptual design process has become a key technology for product conceptual design. This chapter introduces a function-knowledge reasoning model for product conceptual design that constructs a map** relationship between sub-functions after decomposition and granular clustered knowledge. It focuses on knowledge-based product conceptual design that helps identify critical issues, and generate new conceptual solutions through configuration. The quality-function deployment (QFD) and axiomatic-design (AD) are used in the function-knowledge model to realize the map** from user requirements to product functions, and functional decomposition. A similarity algorithm is introduced to implement the map** from sub-functions to knowledge. This function-knowledge reasoning model, which combines requirement transformation, functional decomposition, and knowledge configuration, helps to achieve intelligent matching and optimization in the product conceptual design stage.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Taura T (2016) Creative design engineering: introduction to an interdisciplinary approach. Academic Press.
Pahl G, Beitz W, Feldhusen J, Grote KH (2007) Engineering design: a systematic approach. 3rd ed. London: Springer.
Zheng H, Feng YX, Gao YC, Tan J (2017) The solving process of conceptual design for complex product based on performance evolution. J Mech Eng 54:214–223
French MJ (1999) Conceptual design for engineers. Springer, Berlin Heidelberg
Li Y, Li WQ (2013) Method to creative design. Science Press
Ulrich K, Ep**er S (2011) Product design and development. McGraw Hill
Park S, Park S, Ma K (2018) An automatic user activity analysis method for discovering latent requirements: usability issue detection on mobile applications. Sensors 18(9):2963
Qian L, Gero JS (1996) Function–behavior–structure paths and their role in analogy-based design. AI EDAM 10(4):289–312
Guo X, Liu Y, Zhao W, Wang J, Chen L (2021) Supporting resilient conceptual design using functional decomposition and conflict resolution. Adv Eng Inform 48:101262
Althuizen N, Chen B (2022) Crowdsourcing ideas using product prototypes: the joint effect of prototype enhancement and the product design goal on idea novelty. Manage Sci 68(4):3008–3025
Studer R, Benjamins VR, Fensel D (1998) Knowledge engineering: principles and methods. Data Knowl Eng 25(1–2):161–197
Oxman R (1990) Prior knowledge in design: a dynamic knowledge-based model of design and creativity. Design Stud 11(1):17–28
Tong C (1987) Toward an engineering science of knowledge-based design. Artif Intell Eng 2(3):133–166
Jiang S, **g L, Peng X, Chai H, Li J (2018) Conceptual design conceptual scheme optimization based on integrated design objectives. Concurr Eng 26(3):231–250
Zhang K, Zhao W, Wang J, Chen L, Guo X (2019) Knowledge push technology based on quality function knowledge deployment. P I Mech Eng C-J Mec 233(4):1119–1138
Zhang K, Zhao W, Wang J, Chen L, Wang C, Guo X (2016) Research on knowledge support technology for product innovation design based on quality function knowledge deployment. Adv Mech Eng 8(6):1687814016651795
Gero JS (1990) Design prototypes: a knowledge representation schema for design. AI Mag 11(4):26–26
Hu X, Hu J, Peng Y, Cao Z (2012) Constrained functional knowledge modelling and clustering to support conceptual design. Proc Inst Mech Eng, Part C 226:1326–1337
Guo X, Zhao W, Wang J, Wang C, Zhang K, Chen L (2017) A study of knowledge modeling and retrieval methods oriented towards innovative design of manufacturing planning. J Mech Eng 7.
Li Q, Zhao W, Zheng L, Chen L, Zhang K, Guo X (2018) Innovative design of replacement device for vulnerable parts in the nuclear radiation environment. Sci Technol Nucl Install, 1–11.
Zhu S, Wu J, **ong H, **a G (2011) Scaling up top-k cosine similarity search. Data Knowl Eng 70:60–83
Guo X, Zhao W, Hu H, Li L, Liu Y, Wang J, Zhang K (2021) A smart knowledge deployment method for the conceptual design of low-carbon products. J Clean Pr 321:128994
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Jiang, Y., Guo, X., Liu, Y., Zhao, W. (2023). Knowledge-Based Design: A Function-Knowledge Reasoning Model for Product Conceptual Design. In: Kyratsis, P., Manavis, A., Davim, J.P. (eds) Computational Design and Digital Manufacturing. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-21167-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-21167-6_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21166-9
Online ISBN: 978-3-031-21167-6
eBook Packages: EngineeringEngineering (R0)