Agile Innovation Process Model Based on Computer-Aided Patent Knowledge Mining and Functional Analogy

2021 ◽  
Vol 19 (2) ◽  
pp. 346-374
Author(s):  
Peng Zhang ◽  
Hongxiang Wang ◽  
Zifeng Nie
2021 ◽  
Author(s):  
Peng Zhang ◽  
Hongxiang Wang ◽  
Zifeng Nie

2010 ◽  
Vol 20-23 ◽  
pp. 1336-1341
Author(s):  
Qing Hai Li ◽  
Guo Zhong Cao ◽  
Hai Xia Guo ◽  
Run Hua Tan

Function design is an important method for high-level innovation, and it is important for corporations to forecast product evolution rapidly and effectively from function angle. Three laws of function organization and eight laws of function improvement are presented to discover radically appearance of new functions and improvement of existing functions. The directions of function evolution are confirmed by function forecasting, and the function evolutionary path is described by function evolution tree. The rationality is evaluated by degree of ideality. The product innovation process model based on function evolution is proposed by integrating the above contents, which provides a systematic approach to product innovation from functional design angle. A design example for innovation of Chinese medicine demonstrates the proposed method is feasible.


2013 ◽  
Vol 33 (1) ◽  
pp. 266-269 ◽  
Author(s):  
Ming LI ◽  
Shiyi LIU ◽  
Fuzhong NIAN

2018 ◽  
Author(s):  
Thulasee Krishna Dr. S. ◽  
Sreekanth Dr.S. ◽  
Dharanidhar K. N.

1992 ◽  
Author(s):  
Michael E. Parten ◽  
R. R. Rhinehart ◽  
Vikram Singh

Author(s):  
Adarsh Venkiteswaran ◽  
Sayed Mohammad Hejazi ◽  
Deepanjan Biswas ◽  
Jami J. Shah ◽  
Joseph K. Davidson

Industries are continuously trying to improve the time to market through automation and optimization of existing product development processes. Large companies vow to save significant time and resources through seamless communication of data between design, manufacturing, supply chain and quality assurance teams. In this context, Model Based Definition/Engineering (MBD) / (MBE) has gained popularity, particularly in its effort to replace traditional engineering drawings and documentations with a unified digital product model in a multi-disciplinary environment. Widely used 3D data exchange models (STEP AP 203, 214) contains mere shape information, which does not provide much value for reuse in downstream manufacturing applications. However, the latest STEP AP 242 (ISO 10303-242) “Managed model based 3D engineering” aims to support smart manufacturing by capturing semantic Product Manufacturing Information (PMI) within the 3D model and also helping with long-term archival. As a primary, for interoperability of Geometric Dimensions & Tolerances (GD&T) through AP 242, CAx Implementor Forum has published a set of recommended practices for the implementation of a translator. In line with these recommendations, this paper discusses the implementation of an AP 203 to AP 242 translator by attaching semantic GD&T available in an in-house Constraint Tolerance Graph (CTF) file. Further, semantic GD&T data can be automatically consumed by downstream applications such as Computer Aided Process Planning (CAPP), Computer Aided Inspection (CAI), Computer Aided Tolerance Systems (CATS) and Coordinate Measuring Machines (CMM). Also, this paper will briefly touch base on the important elements that will constitute a comprehensive product data model for model-based interoperability.


2016 ◽  
Vol 693 ◽  
pp. 1684-1692 ◽  
Author(s):  
Hong Lei Zhang ◽  
Wen He Liao ◽  
Yu Guo ◽  
Wen An Yang

Faced with the problem of generation for 3D machining process model, an approach to generate three dimensional machining process model according to information from design model based on definition is proposed. Compared with the existing methods, the approach utilizes multiple information of design model based on definition and takes many phases into consideration of 3D process model generation. The structure of 3D machining process model is defined and the course of 3D process model generation is researched, including multiple information acquirement, generation of procedure geometric models and annotation. Finally, the framework of system and application for 3D machining process model generation are presented for validation purposes.


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