TY - GEN
T1 - Shape and layout imagery creation using BMI based on mechanical kansei
AU - Hoshi, Nanami
AU - Kitamura, Ryu
AU - Hasegawa, Hiroshi
N1 - Funding Information:
The authors gratefully acknowledge the JSPS KAKENHI. This work was supported by JSPS KAKENHI Grant Number 18K03899.
Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/9/21
Y1 - 2018/9/21
N2 - The Mechanical Kansei means a decision capability to evaluate an impression unconsciously, intuitively with informational synthesis in order to mechanics. In a product conceptual design, to create structural shape and layout as solution principle from functional requirement is greatly dependent on the accumulated engineering knowledge, experience and know-how. These engineering senses are called as the Mechanical Kansei. If the Kansei cannot be well used to design product structural shape and layout which satisfied various functional requirements, its design process has a difficulty to draw creative structural shape and layout. In this study, we propose the new methodology of the interaction of a functional design and a structural design in a product conceptual design process for decision making of product design concept based on the Human Computing Interaction. This proposed system creates shape and layout imagery to interact between the Mechanical Kansei and topology optimization method based on the Fully Stressed Design. The response of the Mechanical Kansei is obtained by using Brain Machine Interface (BMI) from the Frontal Cortex handles a positive expectation and the Supplementary Motor Area is assigned to the physics simulation within a brain. The shape and layout imagery creation system is discussed via the verification result and the creation results. We confirmed that the system has created the shape and layout considering the Mechanical Kansei for the product conceptual design, and also it's an attractive product design structure.
AB - The Mechanical Kansei means a decision capability to evaluate an impression unconsciously, intuitively with informational synthesis in order to mechanics. In a product conceptual design, to create structural shape and layout as solution principle from functional requirement is greatly dependent on the accumulated engineering knowledge, experience and know-how. These engineering senses are called as the Mechanical Kansei. If the Kansei cannot be well used to design product structural shape and layout which satisfied various functional requirements, its design process has a difficulty to draw creative structural shape and layout. In this study, we propose the new methodology of the interaction of a functional design and a structural design in a product conceptual design process for decision making of product design concept based on the Human Computing Interaction. This proposed system creates shape and layout imagery to interact between the Mechanical Kansei and topology optimization method based on the Fully Stressed Design. The response of the Mechanical Kansei is obtained by using Brain Machine Interface (BMI) from the Frontal Cortex handles a positive expectation and the Supplementary Motor Area is assigned to the physics simulation within a brain. The shape and layout imagery creation system is discussed via the verification result and the creation results. We confirmed that the system has created the shape and layout considering the Mechanical Kansei for the product conceptual design, and also it's an attractive product design structure.
KW - Brain machine interface
KW - Electroencephalogram
KW - Fully stressed design
KW - Mechanical kansei
KW - Topology optimization
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U2 - 10.1145/3284557.3284736
DO - 10.1145/3284557.3284736
M3 - Conference contribution
AN - SCOPUS:85059960732
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control, ISCSIC 2018
PB - Association for Computing Machinery
T2 - 2nd International Symposium on Computer Science and Intelligent Control, ISCSIC 2018
Y2 - 21 September 2018 through 23 September 2018
ER -