It is difficult for one enterprise to separately master all the knowledge related to its product innovation design. Aiming at this problem, open innovation is introduced to product design. Key technologies of product open innovation design based on knowledge are researched. Based on the ontology expression of internal innovation knowledge, external innovation knowledge and knowledge of innovation theory, open innovation design from function to structure is achieved by gradually indexing. Each functional structure is considered as a gene. Structure innovation design is optimized by cross evolution and variation evolution, achieving organic fusion internal and external innovative design knowledge.
As the actual design process and CBD process have collateral corresponding relation, CBD accords with the actual design process of deviser. This paper studies the application of CBD technology in product variant design. The basic resolution model of variant design is established, and the instance of products variant design is presented. With the application of variant design principle, the design intensity will be lightened, and the design time will be shortened. Therefore the variant design could accommodate the requirement of product diversification and client orientation.
The reasonable functional modules partition is crucial to technical solution of function in product innovation design. Technical evolution factors are not considered in current product module partition method. The correlation of customer demand and product function unit, function unit flow correlation and function technology correlation are synthesized for function module partition in product innovation design. Based on function base expression, function chain and function structure is established to provide basis of function correlation analysis. Function correlation matrix is established by combining the correlation matrix of customer demand and product function unit, the function unit flow correlation matrix and function technology correlation matrix. The dynamic cluster analysis of fuzzy equivalence matrix is used to form function module. The function module partitions are evaluated by polymerization degree and coupling degree. The presented dynamic module partition method has strong distinguishing ability.
The granite cutting processing using diamond circular saw blades is the most extensive application processing methods. The cutting force is measured at different cutting depth ap, sawing feed rate vf and linear velocity v when the granite is cut by diamond circular saw blade by orthogonal experimental method. And the sawing force empirical formulas relative to these three variables are educed. We can obtain the experimental results as follows. The radial force Fn is greater than the tangent force Ft when ap is smaller than the circular saw blade diameter. The corresponding Fn and Ft are all smaller as the feed rate is greater at the same circular saw blade diameter. The cutting forces increase obviously as the cutting depth increases at the same circular saw blade diameter and feed rate.
Reconfigurable design is becoming more and more important in the product design. Based on the interchange and the assembled character of the module, module design is the main technology of carrying out reconfigurable design. Reconfigurable design system in this paper uses function and structure module, builds the virtual design floor to decompose and mapping the function and structure of the stone grinding equipment. Based on the equipment database created in Pro/Engineer software, this software can design, modify and assemble the module and the whole product according to the customer requirements. The application effect of this software is prefect.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.