Automated Concept Generation Based on Function-Form Synthesis

This work hypothesizes that enhancing next generation products’ distinctiveness through function-form synthesis results in feasible design concepts for designers. A data mining driven methodology that searches for novel function and form candidates suitable to include in next generation product design is introduced in this work. The methodology employs a topic modeling algorithm to search for functional relationships between the current product design and designs from related/unrelated domains. Combining the current product design and candidate products’ form and function, which is acquired from related/unrelated domains, generates next generation design concepts. These resulting design concepts are not only distinct from their parent designs but are also likely to be implemented in the real world by containing novel functions and form features. A hybrid marine model, which is differentiated from both the current design and candidate products in related/unrelated domains, is introduced in the case study in order to demonstrate the proposed methodology’s potential to develop concepts for novel product domains. By comparing the form and function similarity values between generated design concepts, an existing hybrid marine model (Wing In Ground effect ship: WIG), and source products, this research verifies the feasibility of these design concepts.Copyright © 2015 by ASME

[1]  Rakesh Nagi,et al.  A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities , 2004, J. Comput. Inf. Sci. Eng..

[2]  帕若姆施·高派.  Cellular phone with integrated fm radio and remote low noise amplifier , 2007 .

[3]  Timothy W. Simpson,et al.  A Review of Recent Literature in Product Family Design and Platform-Based Product Development , 2014 .

[4]  Joan G. Nagle.  Handbook for Preparing Engineering Documents: From Concept to Completion [Books and Reports] , 1996, IEEE Power Engineering Review.

[5]  Conrad S. Tucker,et al.  Digital Representation of Physical Artifacts: The Effect of Low Cost, High Accuracy 3D Scanning Technologies on Engineering Education, Student Learning and Design Evaluation , 2013 .

[6]  Conrad S. Tucker,et al.  Data-Driven Decision Tree Classification for Product Portfolio Design Optimization , 2009, J. Comput. Inf. Sci. Eng..

[7]  Maria C. Yang,et al.  Concept Generation and Sketching: Correlations With Design Outcome , 2003 .

[8]  Christopher D. Manning,et al.  Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger , 2000, EMNLP.

[9]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[10]  Clayton M. Christensen,et al.  Marketing malpractice: the cause and the cure. , 2005, Harvard business review.

[11]  George A. Hazelrigg,et al.  A Framework for Decision-Based Engineering Design , 1998 .

[12]  Kristin L. Wood,et al.  A Quantitative Similarity Metric for Design-by-Analogy , 2002 .

[13]  Yuanhui Zhang,et al.  A ReliefF attribute weighting and X-means clustering methodology for top-down product family optimization , 2010, Engineering Optimization.

[14]  L. H. Shu,et al.  Biologically Meaningful Keywords for Functional Terms of the Functional Basis , 2011 .

[15]  Min-Soo Jeong,et al.  Morphing Wing Mechanism Using an SMA Wire Actuator , 2012 .

[16]  Jonathan Cagan,et al.  Discovering Structure in Design Databases Through Functional and Surface Based Mapping , 2013 .

[17]  Stephen N. Smyth,et al.  TOWARDS THE SYNTHESIS OF AESTHETIC PRODUCT FORM , 2000 .

[18]  Timothy W. Simpson,et al.  Assessing and improving commonality and diversity within a product family , 2009, DAC 2006.

[19]  Conrad S. Tucker,et al.  Product Resynthesis: Knowledge Discovery of the Value of End-of-Life Assemblies and Subassemblies , 2014 .

[20]  Rayid Ghani,et al.  Text mining for product attribute extraction , 2006, SKDD.

[21]  Paul M. Weaver,et al.  Concepts for morphing airfoil sections using bi-stable laminated composite structures , 2008 .

[22]  Jonathan Cagan,et al.  A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty , 2010 .

[23]  Simon Szykman,et al.  A functional basis for engineering design: Reconciling and evolving previous efforts , 2002 .

[24]  Wei Chen,et al.  Enhancing Discrete Choice Demand Modeling for Decision-Based Design , 2003 .

[25]  Eric Bonjour,et al.  A Fuzzy Method for Propagating Functional Architecture Constraints to Physical Architecture , 2009 .

[26]  Vijay Natarajan,et al.  Efficient algorithms for computing Reeb graphs , 2009, Comput. Geom..

[27]  Gregory M. Mocko,et al.  Topological Information Content and Expressiveness of Function Models in Mechanical Design , 2010, J. Comput. Inf. Sci. Eng..

[28]  T. Taura,et al.  Synthesis of Functions: Practice of Concept Generation (3) , 2013 .

[29]  John K. Gershenson,et al.  Product modularity: Definitions and benefits , 2003 .

[30]  Arthur B. Markman,et al.  Design by Analogy: A Study of the WordTree Method for Problem Re-Representation , 2012 .

[31]  Jonathan Cagan,et al.  On the benefits and pitfalls of analogies for innovative design : Ideation performance based on analogical distance, commonness, and modality of examples , 2011 .

[32]  Taku Komura,et al.  Topology matching for fully automatic similarity estimation of 3D shapes , 2001, SIGGRAPH.

[33]  Kirill V. Rozhdestvensky,et al.  Wing-in-ground effect vehicles , 2006 .

[34]  Tosiyasu L. Kunii,et al.  Topological morphing using Reeb graphs , 2002, First International Symposium on Cyber Worlds, 2002. Proceedings..

[35]  Daniel A. McAdams,et al.  A Component Taxonomy as a Framework for Computational Design Synthesis , 2009, J. Comput. Inf. Sci. Eng..

[36]  Ashok K. Goel,et al.  Biologically inspired design: process and products , 2009 .

[37]  Shih-Wen Hsiao,et al.  A morphing method for shape generation and image prediction in product design , 2002 .

[38]  Ming Ouhyoung,et al.  A 3D Object Retrieval System Based on Multi-Resolution Reeb Graph , 2002 .

[39]  Kemper Lewis,et al.  Conjoint-HoQ: A quantitative methodology for consumer-driven design , 2007, DAC 2007.

[40]  Conrad S. Tucker,et al.  A Bisociative Design Framework for Knowledge Discovery Across Seemingly Unrelated Product Domains , 2012, DAC 2012.

[41]  Ju Young Kang,et al.  Mesh-based morphing method for rapid hull form generation , 2010, Comput. Aided Des..

[42]  Kristin L. Wood,et al.  Development of a Functional Basis for Design , 2000 .

[43]  Yan Jin,et al.  Creative Stimulation in Conceptual Design , 2002 .

[44]  양종훈,et al.  HOVERCRAFT의 저항특성 연구 , 2004 .

[45]  Conrad S. Tucker.  Fad or Here to Stay: Predicting Product Market Adoption and Longevity Using Large Scale, Social Media Data DETC2013-12661 , 2013 .

[46]  Michael C. Quick,et al.  Invention and evolution — design in nature and engineering , 1995 .

[47]  Daniel A. McAdams,et al.  Mining Functional Model Graphs to Find Product Design Heuristics With Inclusive Design Illustration , 2013, J. Comput. Inf. Sci. Eng..

[48]  Deborah L Thurston,et al.  Simultaneous Selective Disassembly and End-of-Life Decision Making for Multiple Products That Share Disassembly Operations , 2010 .

[49]  Kristin L. Wood,et al.  Functional Interdependence and Product Similarity Based on Customer Needs , 1999 .

[50]  L. H. Shu,et al.  TOWARDS BIOMIMETIC CONCEPT GENERATION , 2001 .

[51]  Beom-Seon Jang,et al.  Automatic FE modeler using stiffener-based mesh generation algorithm for ship structural analysis , 2008 .

[52]  Narayanan Komerath,et al.  Active Multiple Winglets for Improved Unmanned-Aerial-Vehicle Performance , 2006 .

[53]  Conrad S. Tucker,et al.  Discovering Next Generation Product Innovations by Identifying Lead User Preferences Expressed Through Large Scale Social Media Data , 2014 .

[54]  Conrad S. Tucker,et al.  Trend Mining for Predictive Product Design , 2011 .

[55]  Robert L. Nagel,et al.  Function-based, biologically inspired concept generation , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[56]  Seung Ki Moon,et al.  Data Mining and Fuzzy Clustering to Support Product Family Design , 2006, DAC 2006.

[57]  Shun Takai,et al.  Modifying Pugh’s Design Concept Evaluation Methods , 2004 .

[58]  Ali Shokoufandeh,et al.  REEB GRAPH BASED SHAPE RETRIEVAL FOR CAD , 2003 .

[59]  Roger Jianxin Jiao,et al.  Product family design and platform-based product development: a state-of-the-art review , 2007, J. Intell. Manuf..

[60]  Jonathan Cagan,et al.  The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output , 2012 .

[61]  Kun-An Hsiao,et al.  Affective product shapes through image morphing , 2003, DPPI '03.

[62]  Paul M. Weaver,et al.  The application of residual stress tailoring of snap-through composites for variable sweep wings , 2006 .