Lizhen Jia, born in 1989, is currently working at Civil Aviation University of China, China. She received her PhD degree on Mechanical Engineering in Hebei University of Technology, China, in 2018. Her research interests include analogy-based design, innovative design.
Abstract:
Patent is a kind of technical document to protect intellectual property for individuals or enterprises. Patentable ideas generation is a crucial step for patent application. Analogy is confirmed to be an effective technique to inspire creative ideas. Followed by retrieval of appropriate analogs, mapping of design knowledge and target solution adaptation, analogy-based design usually starts from representation of analogy source. To diffuse one core idea into other new contexts and achieve more patentable ideas, this paper mainly centered on the first two stages of analogy-based design and proposed a patentable ideation framework. The analogical information of the source system, including source design problems and solution, was mined comprehensively through IPC analysis and represented in the form of function, behavior and structure. Three heuristics were suggested for searching the set of candidate target systems with similar design problem, where the source design could be transferred. Finally, the bladeless fan was selected as the source design to illustrate the application of this work. The design output shows that the representation and heuristics are beneficial, and is systematic ideation method can help the engineer or designer enhance creativity and discover more patentable opportunities.
The Major Research Areas Related To TRIZ In The NER-Center