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Design Process Framework for the Definition and Conceptual Design of Structurally Transforming Multi-Mode Products

Published online by Cambridge University Press:  13 May 2025

Lark Sawyer*
Affiliation:
Mechanical Engineering Department, University of Michigan, Ann Arbor, MI, USA
Jonathan Luntz
Affiliation:
Mechanical Engineering Department, University of Michigan, Ann Arbor, MI, USA
Kara Stark
Affiliation:
Mechanical Engineering Department, University of Michigan, Ann Arbor, MI, USA
Meghan Mojica
Affiliation:
Mechanical Engineering Department, University of Michigan, Ann Arbor, MI, USA
Karen Williams
Affiliation:
Mechanical Engineering Department, University of Michigan, Ann Arbor, MI, USA
*
Corresponding author Lark Sawyer lmsawyer@umich.edu
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Abstract

A structurally transforming multi-mode product can realize a changing set of functions across its modes, replacing multiple related products while offering increased cost, space, and time efficiency. However, there is a lack of connected methods that address the additional design complexities due to the product’s physical transformations and the resulting structural component-sharing between modes. A framework, grounded in standard design practice and built upon existing methods, is proposed to help navigate the two most impacted design stages: 1. Problem Definition and 2. Conceptual Design. The Problem Definition stage in this new framework involves identifying the external factor that determines the product’s modes and defining the functional requirements for the modes and transformation methods. The Conceptual Design stage involves iteratively linking conceptualized forms of each mode to adjacent modes through conceptualized transformation methods. The framework is demonstrated in a case study involving the design of a structurally transforming multi-mode piece of children’s furniture that transforms between a cradle, floor seat and a multipurpose toddler step stool. The proposed framework is a promising step toward systematically, cohesively, and comprehensively addressing design challenges during the development of a wide variety of structurally transforming multi-mode products, therefore facilitating better, more effective product design.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Hierarchical classification of multi-mode products including images of example products (Aidacare 2024; Navaris 2024; Polygons 2024).

Figure 1

Figure 2. Each of the framework’s two stages is broken down into six ordered steps.

Figure 2

Table 1. Types of specifications for the different types of requirements for structurally transforming multi-mode products. The reasoning behind the restrictions on the specification type is included in the corresponding shaded cell in the table.

Figure 3

Table 2. Six failure types identified in an analysis of children’s furniture product recalls in order of prevalence.

Figure 4

Figure 3. Failures, shown by each color-coded bubble, are the root cause of certain hazards (encapsulated within the bubbles) that result in a recalled product. The ordered size of the bubbles reflects the order of the impact of the underlying cause, with a larger bubble meaning a larger total number of product units being recalled. Any hazard with an asterisk next to it indicates that this hazard can lead to the death of the child using the product.

Figure 5

Figure 4. Tabular tool for organizing all product requirements across modes and transformation methods.

Figure 6

Figure 5. Tabular tool for organizing all specifications. Italicized requirements had mode-specific modifications, requiring mode-specific specifications of type 2 or 3.

Figure 7

Figure 6. Tabular tool to organize mode-form and transformation method generation and evaluation for the children’s furniture product.

Figure 8

Table 3. Transformation methods generated from an analysis of Design Heuristics, TRIZ Principles, and TRIZ Effects.

Figure 9

Table 4. Reasoning for the elimination of generated elements according to state-level criteria.

Figure 10

Table 5. Examples of the mode-method-mode unit evaluation process used to populate the scores shown in Figure 7.

Figure 11

Figure 7. Tabular tool to organize the creation and evaluation of all mode 1-method-mode2 and mode 2-method-mode3 units. Cells are left empty for units that are not feasible.

Figure 12

Table 6. Concept chain evaluation method (used in Figure 8) with scoring based on compatibility.

Figure 13

Figure 8. Tabular tool to organize the creation and evaluation of concept chains from remaining mode-method-mode units. Units are decomposed and organized along the table axes based on the elements of the units.

Figure 14

Figure 9. A decision matrix tool to organize the evaluation of the full product concept chains against the product requirements.

Figure 15

Figure 10. Tabular tool for organizing the stakeholder feedback to inform selection and redesign of the children’s furniture product concept. The two concepts with a bassinet as mode 1 received net negative scores indicating the number and severity of the cons outweigh the pros for the concept. The concept starting with a cradle in mode 1 received a net positive score primarily because no cons were identified as intrinsic to the concept.

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Figure 11. CAD model and physical prototype of children’s furniture product final concept.

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Table 7a, 7b and 7c. Analysis of requirements and specifications for the case study product.

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Figure 12. Downselection during the Conceptual Design stage exhibits linear convergence. The R2 value of the linear fit for the case study concept data is .943, indicating a strong linear fit to the semi-log plot.

Figure 19

Table 8. Analysis of stakeholder feedback from case study STEP 2.6.