Emotional Fusion and Design Optimization Method Based on Kansei-AD: A Case Study of Laser Additive Manufacturing Equipment

Abstract

To improve the level of integration between the psychological and emotional needs of laser additive manufacturing equipment personnel and the cognitive interactive design of human-machine systems, an emotional optimization design method for laser additive manufacturing equipment based on Kansei engineering and axiomatic design (Kansei-AD) is proposed. By exploring the emotional cognitive process of personnel on equipment, the representation means of the psychological and emotional needs of personnel are clarified. To clarify the psychological and emotional needs of users, the Kansei semantic difference experiment is applied to determine the user domain of axiomatic design. To resolve the difficulty of accurately mapping and expressing between user emotional factors and design elements in the design process, a combination of rough analytic hierarchy process (rough AHP) and quality function deployment (QFD) is used in the functional domain to determine the user Kansei design needs. In addition, the mapping relationship between Kansei design requirements and design requirements is judged by independent axioms of axiomatic design. A matrix of morphological elements-design requirements is constructed, and the morphological design elements that meet the psychological and emotional needs of personnel are determined using the GRA-TOPSIS method. LDM4030 laser coaxial powder feeding equipment is taken as an example to verify the feasibility of the optimization method. The result shows that the method effectively optimizes the design of the equipment according to the psychological and emotional needs of personnel. It provides a new research idea for the psychological and emotional design of laser additive manufacturing equipment.