Abstract
The paper attempts to model the strength of TRIP-assisted steels using fuzzy inference system (FIS). The system is proficient to cope up with the changing environment deterministically due to its inherent modular structure and distributed approach creating a flexible and robust system. The problem domain has been divided into several sub-problems and autonomous agents are employed to execute the tasks and decision making by designing respective FIS. The mechanistic constituents of TRIP process are expressed in modular form using linguistic if–then rules developed from the fundamental physical metallurgy concept. Coordination among the distributed agents in the form of sharing knowledge has been attempted to divide the whole mechanism of TRIP in separate modules to make the system fault tolerant. The model is validated by data collected from published literature and found to be sound enough, considering the limitations of a rule-based model.
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