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Modeling Design of Waterjet Machine Tool Based on Kansei Engineering

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Book cover Advances in Industrial Design (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 260))

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Abstract

At present, the modeling design of domestic waterjet machine tools is converging, and the user’s emotional experience is ignored. Based on the Kansei Engineering theory, combined with the fuzzy Kano model, this article explores a design method to enhance the user’s emotional experience. Through the questionnaire survey and KJ method, the image semantic adjectives are selected, and the fuzzy Kano model is applied to determine and classify users’ needs and preferences. The semantic differential method is used to obtain the respondent’s perceptual image evaluation data of the research samples of the waterjet machine tool to find the design form that meets the user’s perceptual needs. The design model is applied to the modeling design of waterjet machine tools, which verifies the feasibility of the design model, and provides method guidance for designers.

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Authors and Affiliations

  1. School of Mechanical Engineering, Southeast University, Nanjing, 211189, China

    Ying Zhu & Wencheng Tang

Authors
  1. Ying Zhu
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  2. Wencheng Tang
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Corresponding author

Correspondence to Wencheng Tang .

Editor information

Editors and Affiliations

  1. Department of Industrial Design, University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Cliff Sungsoo Shin

  2. Dipartimento di Architettura, Università degli Studi G. d’Annunzio, Pescara, Italy

    Giuseppe Di Bucchianico

  3. System Design and Management, Keio University, Musashino, Japan

    Shuichi Fukuda

  4. DAAP School of Design, University of Cincinnati, Cincinnati, OH, USA

    Yong-Gyun Ghim

  5. Faculty of Architecture, University of Lisbon, Lisbon, Portugal

    Gianni Montagna

  6. Faculty of Architecture, University of Lisbon, Lisbon, Portugal

    Cristina Carvalho

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Zhu, Y., Tang, W. (2021). Modeling Design of Waterjet Machine Tool Based on Kansei Engineering. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_130

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  • DOI: https://doi.org/10.1007/978-3-030-80829-7_130

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80828-0

  • Online ISBN: 978-3-030-80829-7

  • eBook Packages: EngineeringEngineering (R0)

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