In order to evaluate the resources and environment attributes of manufacturing process, an IPO model and an evaluation index system are presented first. And then scatter degree combination evaluation method is proposed to solve the inconsistency produced by different evaluation methods. The evaluation results are more accurate by integration of several evaluation results and evaluation information of other evaluation methods. In the end, the validity of the method is confirmed by an example, evaluating a valve body’s resources and environment attributes of manufacturing process.
The epoxy resins were toughened with reactive core-shell nanoparticles(CSNPs) with butyl acrylate (BA) as the core and methyl methacrylate (MMA) copolymerizing with glycidyl methacrylate (GMA) as the shell. The chemical structure of the CSNPs was characterized by FT-IR. The morphology of toughened epoxy networks were analyzed by SEM and TEM, and their adhesion properties were also detected. The results show that mixing methods and CSNP concentration have great influence on the morphology and adhesion properties of the toughened epoxy networks. CSNPs are uniformly dispersed in the epoxy resins by the grinding method. The modified epoxy networks obtained from the modified epoxy networks prepared by the grinding method(MEPN2) with 10 wt% CSNPs show the best adhesion properties, and the increase in maximum peel strength, 25°C sheer strength and 150°C sheer strength of the modified epoxy networks is 401.3% , 46.9% and 27.6% respectively over the unmodified epoxy networks due to the small-scale coagulations of CSNPs.
Owing to the diversity of green evaluation index and multiple-factor related to the process evaluation, existing green evaluation of manufacturing process lacks a set of effective knowledge management model. It leads to the high cost and inefficiency of analysis and evaluation process. A green evaluation model for manufacturing process based on multi agent is presented. Based on the model, green evaluation support system of manufacturing process based on multi agent is developed with the knowledge base introduced. The implementation strategy of green evaluation for manufacturing process is implemented by the closed-loop knowledge chain, which is composed of knowledge mining, knowledge transferring, knowledge application and knowledge feedback. The feasibility of this system is verified by an instance of the valve stem manufacturing process in a valve factory.
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