A New Design Approach: Applying Optical Fiber Sensing to 3D-Printed Structures to Make Furniture Intelligent

Weile Jiang, Di Lu () and Na Zhao
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Weile Jiang: Department of Art, Xi’an Jiaotong University, Xi’an 710049, China
Di Lu: Department of Art, Xi’an Jiaotong University, Xi’an 710049, China
Na Zhao: State Key Laboratory of Mechanical Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Sustainability, 2023, vol. 15, issue 24, 1-16

Abstract: In the context of sustainability, the development of optical fiber sensing technology and 3D printing technology brings new sustainable manufacturing solutions for the furniture industry. Based on the current status and development situation of the application of optical fiber sensing technology and 3D-printed furniture, this paper proposes the concept of applying embedded optical fiber sensing technology to traditional furniture manufacturing as the intersection of traditional furniture design and 3D printing technology. This design method is applied in furniture design cases, the stability of the 3D-printed structure after the optical fiber is embedded in the structure is verified through experiments, and the integration of the embedded optical fiber light-inducing and monitoring technology is used to assess the intelligence of furniture. It is found that by applying optical fiber sensors to furniture intelligence, the real-time monitoring of the environment, temperature, humidity, and other parameters during the use of furniture can be achieved, thus improving the energy efficiency and comfort of furniture. This innovative design idea and method provides a new direction for the sustainable development of furniture products and encourages the furniture industry to move forward in a more environmentally friendly and intelligent direction.

Keywords: 3D printing; optical fiber sensing; intelligent furniture; furniture design; Chinese mortise and tenon construction; creative design (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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