Description/Abstract Control of gas metal arc welding (GMAW) requires real-time sensing of the pr... more Description/Abstract Control of gas metal arc welding (GMAW) requires real-time sensing of the process. Three sensing techniques for GMAW are being developed at the Idaho National Engineering Laboratory (INEL). These are (1) noncontacting ultrasonic sensing using a ...
Many optical techniques are being developed for the inspection of completed parts and for the sen... more Many optical techniques are being developed for the inspection of completed parts and for the sensing of manufacturing processes as part of process control schemes. Optical techniques are attractive because of their noncontacting nature and their ability to obtain information from a hazardous environment. However, many of these techniques currently require delicate alignment and calibration, which make them impractical outside
This paper discusses work in progress on the development of an intelligent control scheme for arc... more This paper discusses work in progress on the development of an intelligent control scheme for arc welding. A set of four sensors is used to detect weld bead cooling rate, droplet transfer mode, weld pool and joint location and configuration, and weld defects during welding. A neural network is being developed as the bridge between the multiple sensor set a
A control strategy for gas metal arc welding (GMAW) is developed in which the welding system dete... more A control strategy for gas metal arc welding (GMAW) is developed in which the welding system detects certain existing conditions and adjusts the process in accordance to pre-specified rules. This strategy is used to control the reinforcement and weld bead centerline cooling rate during welding. Relationships between heat and mass transfer rates to the base metal and the required electrode
This paper describes a multivariable controller developed at the Idaho National Engineering Labor... more This paper describes a multivariable controller developed at the Idaho National Engineering Laboratory (INEL) that incorporates both fuzzy logic rules and a neural network. The controller was implemented in a laboratory demonstration and was robust, producing smooth temperature and water level response curves with short time constants. In the future, intelligent control systems will be a necessity for optimal operation
This paper discusses work on a model-based intelligent process controller for gas metal arc weldi... more This paper discusses work on a model-based intelligent process controller for gas metal arc welding. Four sensors input to a neural network, which communicates to a reference model-based adaptive controller that controls process parameters. Reference model derivation and validation are discussed. The state of an arch weld is determined by the composition of the weld and base metal and the weld's thermomechanical history. The composition of the deposited weld metal depends primarily on the amount of filler metal dilution; heat input to the weld, comprising pre-heat and process heat, is the controlling factor in the thermal cycle. Thus, control of the arc welding process should focus on rational specification and in-process control of the heat and mass input to the weld. A control model has been developed in which the governing equations are solved for the process parameters as functions of the desired heat input (in terms of heat input unit weld length) and mass input (in terms ...
After examining the inadequately low enrollment of American Indians in studies leading to degrees... more After examining the inadequately low enrollment of American Indians in studies leading to degrees in Engineering and Engineering Technology, this paper attempts to discuss the reasons for this shortage. It also suggests methods to encourage, motivate, and enable Native American youth to start meaningful studies in these fields. However, to succeed with these methods, a constructive input must come from
Description/Abstract Control of gas metal arc welding (GMAW) requires real-time sensing of the pr... more Description/Abstract Control of gas metal arc welding (GMAW) requires real-time sensing of the process. Three sensing techniques for GMAW are being developed at the Idaho National Engineering Laboratory (INEL). These are (1) noncontacting ultrasonic sensing using a ...
Many optical techniques are being developed for the inspection of completed parts and for the sen... more Many optical techniques are being developed for the inspection of completed parts and for the sensing of manufacturing processes as part of process control schemes. Optical techniques are attractive because of their noncontacting nature and their ability to obtain information from a hazardous environment. However, many of these techniques currently require delicate alignment and calibration, which make them impractical outside
This paper discusses work in progress on the development of an intelligent control scheme for arc... more This paper discusses work in progress on the development of an intelligent control scheme for arc welding. A set of four sensors is used to detect weld bead cooling rate, droplet transfer mode, weld pool and joint location and configuration, and weld defects during welding. A neural network is being developed as the bridge between the multiple sensor set a
A control strategy for gas metal arc welding (GMAW) is developed in which the welding system dete... more A control strategy for gas metal arc welding (GMAW) is developed in which the welding system detects certain existing conditions and adjusts the process in accordance to pre-specified rules. This strategy is used to control the reinforcement and weld bead centerline cooling rate during welding. Relationships between heat and mass transfer rates to the base metal and the required electrode
This paper describes a multivariable controller developed at the Idaho National Engineering Labor... more This paper describes a multivariable controller developed at the Idaho National Engineering Laboratory (INEL) that incorporates both fuzzy logic rules and a neural network. The controller was implemented in a laboratory demonstration and was robust, producing smooth temperature and water level response curves with short time constants. In the future, intelligent control systems will be a necessity for optimal operation
This paper discusses work on a model-based intelligent process controller for gas metal arc weldi... more This paper discusses work on a model-based intelligent process controller for gas metal arc welding. Four sensors input to a neural network, which communicates to a reference model-based adaptive controller that controls process parameters. Reference model derivation and validation are discussed. The state of an arch weld is determined by the composition of the weld and base metal and the weld's thermomechanical history. The composition of the deposited weld metal depends primarily on the amount of filler metal dilution; heat input to the weld, comprising pre-heat and process heat, is the controlling factor in the thermal cycle. Thus, control of the arc welding process should focus on rational specification and in-process control of the heat and mass input to the weld. A control model has been developed in which the governing equations are solved for the process parameters as functions of the desired heat input (in terms of heat input unit weld length) and mass input (in terms ...
After examining the inadequately low enrollment of American Indians in studies leading to degrees... more After examining the inadequately low enrollment of American Indians in studies leading to degrees in Engineering and Engineering Technology, this paper attempts to discuss the reasons for this shortage. It also suggests methods to encourage, motivate, and enable Native American youth to start meaningful studies in these fields. However, to succeed with these methods, a constructive input must come from
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