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• W1569623747 abstract "Abstract Intelligent materials processing (IMP) is achieved by the integration of on‐line sensors, process models, and adaptive control strategies. So formed, the system will be able to adjust the process parameters during production in response to changes in a material's state and thus to achieve the desired end‐use properties. Metal welding is an example of this off‐line control procedure. To make the metal welding process “intelligent,” one would need to have sensors that not only control the electrodes' voltage and the welding speed—as is done in conventional processing—but also sensors that collect data continuously from the material in the molten area. A computer‐based model would be used to predict the final microstructure based on the values of the monitored variables and the control parameters' setting. The system then would predict how to modify the control parameters during the subsequent steps of the process in order to achieve the desired microstructure. Although technology has yet been able to produce such an “intelligent welding machine” to replace the skilled operator, despite the difficulties, this is an ongoing project of the Weld Process Sensing, Modeling, and Control program sponsored by NIST. The simple welding example helps identify the two main issues that need to be addressed in order to implement “intelligent processing” in any material: Availability of reliable sensors to monitor the process variables. The sensors must not disturb the processing environment. Full understanding of the process, the interdependence among the process variables that can be sensed and the process parameters that can be controlled in order to achieve predictive capability in the new material. It must be emphasized that “intelligent processing” is not the same as “automated processing,” but a step ahead. The major benefit of intelligent processing is that this reduces the time spent in moving a design from the project desk into production. The more ambitious focus of materials process research concerns the use of self‐directed computer‐aided systems to establish in‐situ self‐improvement of the design and control of materials processing. The general points discussed here apply to any engineering material, and industrial examples may be found in every technological area, from polymers to metals, ceramics, and composites." @default.
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• W1569623747 date "2002-07-15" @default.
• W1569623747 modified "2023-10-13" @default.
• W1569623747 title "Intelligent Processing of Materials (IPM)" @default.
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• W1569623747 doi "https://doi.org/10.1002/0471216275.esm045" @default.
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