This paper proposes a methodology and architecture suitable for generating the process plan of machining parts. It is a proposal in which the peripheral processes needed for these parts are taken into account and they also enable the development of alternative process plans. The architecture supports the construction of CAPP systems from prepackaged, plug-compatible software components. The specifications of the architecture and its building blocks are defined. A prototype system is under development to prove the concept. This paper proposes a methodology and architecture suitable for generating the process plan of machining parts. It is a proposal in which the peripheral processes needed for these parts are taken into account and they also enable the development of alternative process plans.
In this paper will be show model for expert system process planning with minimum cost per piece in function to cutting speed. The numbers variants depends of resource by manufactured system, machine labour and overhead rate and tools. The optimization model will be use in generative CAPP system for rotation parts. The Mathematically model devolpment for minimum cost per piece, which have all parameters of process planning. For determining machining and manufacturing tims importing for maximum profit, what is leading aim all manufacturing of industry. The optimal of cutting speed determining which to receive maximum profit. The maximum profit introducing combination of criterion minimum cost per piece variant process planning and criterion optimal of cutting speed.
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.
hi@scite.ai
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.