Research Papers: Design for Manufacture and the Life Cycle

Design for Manufacturability-Based Feedback to Mitigate Design Fixation

[+] Author and Article Information
Esraa S. Abdelall

Department of Industrial and Manufacturing
System Engineering,
Iowa State University,
3004 Black Engineering 2529 Union Drive,
Ames, IA 50011
e-mail: abdelallesra@gmail.com

Matthew C. Frank

Department of Industrial and Manufacturing
System Engineering,
Iowa State University,
3004 Black Engineering 2529 Union Drive,
Ames, IA 50011
e-mail: mfrank@iastate.edu

Richard T. Stone

Department of Industrial and Manufacturing
System Engineering,
Iowa State University,
3004 Black Engineering 2529 Union Drive,
Ames, IA 50011
e-mail: rstone@iastate.edu

Contributed by the Design for Manufacturing Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received December 7, 2017; final manuscript received May 20, 2018; published online June 22, 2018. Assoc. Editor: Paul Witherell.

J. Mech. Des 140(9), 091701 (Jun 22, 2018) (9 pages) Paper No: MD-17-1813; doi: 10.1115/1.4040424 History: Received December 07, 2017; Revised May 20, 2018

This study assessed the effectiveness of three-dimensional (3D) visual feedback from design for manufacturability (DFM) software on mitigating design fixation on nonproducible manufacturability features. A fixation group and a defixation group were asked to design a basic product for additive manufacturing (AM) and then to modify the next iteration for conventional machining. The fixation group relied on their self-assessment while modifying, while the defixation group utilized dfm software feedback. Results showed that 3D feedback reduced design fixation on nonproducible features and improved the machinability of modified designs. Findings suggest the use of dfm software for treating the design fixation related to AM and for facilitating migration of designs from additive to conventional manufacturing. This work could be applied to manufacturing industries, particularly where AM is used for prototyping, or when demand for part changes and an AM part needs to migrate to conventional methods.

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Gibson, I. , 2005, “ Rapid Prototyping: A Tool for Product Development,” Comput. Aided. Des. Appl., 2(6), pp. 785–793. [CrossRef]
Mansour, S. , and Hague, R. , 2003, “ Impact of Rapid Manufacturing on Design for Manufacture for Injection Moulding,” Proc. Inst. Mech. Eng. Part B., 217(4), pp. 453–461. [CrossRef]
Campbell, I. , Bourell, D. , and Gibson, I. , 2012, “ Additive Manufacturing: Rapid Prototyping Comes of Age,” Rapid Prototyp. J., 18(4), pp. 255–258. [CrossRef]
Abdelall, E. , Frank, M. C. , and Stone, R. , 2018, “ A Study of Design Fixation Related to Additive Manufacturing,” ASME J. Mech. Des., 140(4), p. 041702. [CrossRef]
Jansson, D. G. , and Smith, S. M. , 1991, “ Design Fixation,” Des. Stud., 12(1), pp. 3–11. [CrossRef]
James, K. , “ Psychological Inertia,” TRIZ J. (epub). https://triz-journal.com/psychological-inertia/
Crilly, N. , 2015, “ Fixation and Creativity in Concept Development: The Attitudes and Practices of Expert Designers,” Des. Stud., 38, pp. 54–91. [CrossRef]
Youmans, R. J. , and Arciszewski, T. , 2014, “ Design Fixation: Classifications and Modern Methods of Prevention,” Artif. Intell. Eng. Des., Anal. Manuf., 28(2), pp. 129–137. [CrossRef]
Bilalić, M. , Mcleod, P. , and Gobet, F. , 2016, “ The Mechanism of the Einstellung (Set) Effect: A Pervasive Source of Cognitive Bias,” Current Directions in Psychological Science, 19(2), pp. 111–115. http://journals.sagepub.com/doi/abs/10.1177/0963721410363571
Purcell, A. T. , and Gero, J. S. , 1996, “ Design and Other Types of Fixation,” Des. Stud., 17(4), pp. 363–383. [CrossRef]
Viswanathan, V. K. , and Linsey, J. S. , 2013, “ Design Fixation and Its Mitigation: A Study on the Role of Expertise,” ASME J. Mech. Des., 135(5), p. 051008. [CrossRef]
Linsey, J. S. , Moreno, D. P. , Yang, M. C. , Herna, A. A. , and Wood, K. L. , 2015, “ A Step Beyond to Overcome Design Fixation: A Design-by-Analogy Approach,” Design Computing and Cognition'14, Springer, Cham, Switzerland, pp. 607–624.
Linsey, J. S. , Tseng, I. , Fu, K. , Cagan, J. , Wood, K. L. , and Schunn, C. , 2010, “ A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty,” ASME J. Mech. Des., 132(4), p. 041003. [CrossRef]
Cross, N. , 2004, “ Expertise in Design: An Overview,” Des. Stud., 25(5), pp. 427–441. [CrossRef]
Agogué, M. , Poirel, N. , Pineau, A. , Houdé, O. , and Cassotti, M. , 2014, “ The Impact of Age and Training on Creativity: A Design-Theory Approach to Study Fixation Effects,” Think. Ski. Creat., 11, pp. 33–41. [CrossRef]
Toh, C. , Miller, S. , and Kremer, G. E. , 2014, “ Mitigating Design Fixation Effects in Engineering Design Through Product Dissection Activities,” Design Computing and Cognition'12, Springer, Dordrecht, The Netherlands, pp. 95–113. [CrossRef]
Youmans, R. J. , 2011, “ The Effects of Physical Prototyping and Group Work on the Reduction of Design Fixation,” Des. Stud., 32(2), pp. 115–138. [CrossRef]
Cheng, P. , Mugge, R. , and Schoormans, J. P. L. , 2014, “ A New Strategy to Reduce Design Fixation: Presenting Partial Photographs to Designers,” Des. Stud., 35(4), pp. 374–391. [CrossRef]
Tseng, I. , Moss, J. , Cagan, J. , and Kotovsky, K. , 2008, “ Overcoming Blocks in Conceptual Design: The Effects of Open Goals and Analogical Similarity on Idea Generation,” ASME Paper No. DETC2008-49276.
K. N. O. , Wood, K. L. , 1999, Product Design Techniques in Reverse Engineering, Systematic Design, and New Product Development, Pearson Publishing Company, London.
Christensen, B. T. , and Schunn, C. D. , 2007, “ The Relationship of Analogical Distance to Analogical Function and Preinventive Structure: The Case of Engineering Design,” Mem. Cognit., 35(1), pp. 29–38. [CrossRef] [PubMed]
Chrysikou, E. G. , and Weisberg, R. W. , 2005, “ Following the Wrong Footsteps: Fixation Effects of Pictorial Examples in a Design Problem-Solving Task,” J. Exp. Psychol.: Learn. Memory Cognit., 31(5), pp. 1134–1148. [CrossRef]
Zahner, D. , Nickerson, J. V. , Tversky, B. , Corter, J. E. , and Ma, J. , 2010, “ A Fix for Fixation? Rerepresenting and Abstracting as Creative Processes in the Design of Information Systems,” Artif. Intell. Eng. Des. Anal. Manuf., 24(2), pp. 231–244. [CrossRef]
Grantham, K. , Kremer, G. E. O. , Simpson, T. W. , and Ashour, O. , 2013, “ A Study on Situated Cognition: Product Dissection's Effect on Redesign Activities,” ASME Paper No. DETC2010-28334.
Dong, A. , and Sarkar, S. , 2011, “ Unfixing Design Fixation: From Cause to Computer Simulation,” J. Creat. Behav., 45(2), pp. 147–156. [CrossRef]
Youmans, E. R. , and Stone, R. J. , 2005, “ To Thy Own Self Be True: Finding the Utility of Cognitive Feedback Via Extended Mean Squared Error Analysis,” J. Behav. Decis. Mak., 31(5), p. 1134.
Gordon, W. , 1961, Synectics: The Development of Creative Capacity, Oxford, UK.
Smith, S. M. , and Linsey, J. , 2011, “ A Three-Pronged Approach for Overcoming Design Fixation,” J. Creat. Behav., 45(2), pp. 83–91. [CrossRef]
Luchins, A. S. , 1942, “ Mechanization in Problem Solving: The Effect of Einstellung,” Psychol. Monogr., 54(6), pp. i–95. http://psycnet.apa.org/doiLanding?doi=10.1037%2Fh0093502
Hoefer, M. , Chen, M. , and Frank, N. , 2017, “ Automated Manufacturability Analysis for Conceptual Design in New Product Development,” The Industrial and Systems Engineering Research Conference (ISERC), Pittsburgh, PA, May 20–23. https://www.researchgate.net/publication/318642423_Automated_Manufacturability_Analysis_for_Conceptual_Design_in_New_Product_Development


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Fig. 2

Example of ANA output (a) visibility, (b) reachability, (c) accessibility, and (d) setup complexity

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Fig. 1

(a) Opener for Arthritis showing designer fixation on nonproducible features, part designed for AM and (b) same part modified for conventional processes, mainly casting and machining

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Fig. 3

Example of jars opener (Photo courtesy of The Container Store, used with permission)

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Fig. 4

Sample of dfm software 3D visual feedback

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Fig. 5

Mean number of nonproducible features in designs created by both groups during first and second design iteration. Error bar represents ±1 standard error.

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Fig. 6

Fixation percentage on nonproducible features for both groups. Error bar represents ±1 standard error.

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Fig. 7

Average ANA machinability score of designs created by both groups during first and second design iteration. Error bar represents ±1 standard error.

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Fig. 8

Sample of designs created by the defixation group; (a) first design iteration and (b) second design iteration. *V—Visibility score, R—Reachability score, a—Accessibility score, and S—Setup complexity score.

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Fig. 9

Average redesign difficulty score for both groups. Error bar represents ±1 standard error.

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Fig. 10

Average frustration score for both groups. Error bar represents ±1 standard error.



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