Abstract: Described herein are improved thermoplastic composites, which demonstrate excellent physical properties, such as yield strength, ultimate tensile strength, toughness, elongation, and, optionally, superior tunable biodegradability when compared to known thermoplastics. The composite comprises minimally a thermoplastic polymer, at least one phenolic compound, and, optionally, a filler.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: An additive manufacturing system includes an additive manufacturing tool configured to receive a plurality of metallic anchoring materials and to supply a plurality of droplets to a part, and a controller configured to independently control the composition, formation, and application of each droplet to the plurality of droplets to the part. The plurality of droplets is configured to build up the part. Each droplet of the plurality of droplets includes at least one metallic anchoring material of the plurality of metallic anchoring materials.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: Methods and apparatus to provide visual information associated with welding operations are disclosed. An weld training system includes a display, a camera, a communications device, and a welding helmet. The communications device communicates with welding equipment. The welding helmet has a view port. The communications device is configured to hold the camera, the communications device, and the display such that, when the welding helmet is worn by a wearer, the display is viewable by the wearer, the camera has a view through the view port such that the display displays to the wearer images taken by the camera through the view port and displays a simulated object generated based on information received from the welding equipment via the communications device.

Abstract: An additive manufacturing system includes an additive manufacturing tool configured to receive a plurality of metallic anchoring materials and to supply a plurality of droplets to a part, and a controller configured to independently control the composition, formation, and application of each droplet to the plurality of droplets to the part. The plurality of droplets is configured to build up the part. Each droplet of the plurality of droplets includes at least one metallic anchoring material of the plurality of metallic anchoring materials.

Abstract: A contact tip assembly with a preheating tip comprises a welding-type power source configured to provide welding-type current to a welding-type circuit, the welding-type circuit comprising a welding-type electrode and a first contact tip of a welding torch. The assembly also includes an electrode preheating circuit configured to provide preheating current through a portion of the welding-type electrode via a second contact tip of the welding torch, and a voltage sense circuit to monitor a voltage drop across the two contact tips, and the electrode preheating circuit adjusts at least one of the first current or the preheating current based on the voltage drop.

Abstract: Methods and apparatus to communicate via a weld cable are disclosed. An example weld circuit communications device includes a receiver circuit, a processor, and a local communications adapter. The receiver circuit to receive a communication via a weld circuit while current is flowing through the weld circuit or after the current has stopped flowing through the weld circuit, the communication including weld voltage feedback information measured at a device remote from a power supply and remote from the weld circuit communications device while the current is flowing through the weld circuit. The processor generates power supply control information based on the weld voltage feedback information. The local communications adapter transmits the power supply control information to control welding-type power output by a power converter to regulate a weld voltage to a weld voltage setpoint.

Abstract: A welding method includes feeding a welding electrode axially from a welding torch, moving the welding electrode radially in a desired pattern with respect to a central axis of the welding torch by a motion control assembly within the welding torch, transmitting from control circuitry a signal corresponding to a position of the welding electrode relative to a weld joint or weld pool, advancing the welding torch or a workpiece to establish a weld, and transferring material from the welding electrode to a first location in an area of the weld pool. The welding electrode moves radially while feeding the welding electrode from the welding torch, the material from the welding electrode is transferred to the first location during a first cycle of the desired pattern, and the first location is controlled based at least in part on the signal.

Abstract: Methods and apparatus to provide visual information associated with welding operations are disclosed. An weld training system includes a display, a camera, a communications device, and a welding helmet. The communications device communicates with welding equipment. The welding helmet has a view port. The communications device is configured to hold the camera, the communications device, and the display such that, when the welding helmet is worn by a wearer, the display is viewable by the wearer, the camera has a view through the view port such that the display displays to the wearer images taken by the camera through the view port and displays a simulated object generated based on information received from the welding equipment via the communications device.

Abstract: Systems and methods for the manufacture of a solid wire using additive manufacturing techniques are disclosed. In one embodiment, a fine powdery material is sintered or melted or soldered or metallurgically bonded onto a metal strip substrate in a compacted solid form or a near-net shape (e.g., a near-net solid wire shape) before being turned into a final product through forming or drawing dies.

Abstract: Methods and apparatus to determine heat input to a weld are disclosed. An example welding-type power supply includes a power converter to convert input power to output welding-type power, and a controller configured to: during a welding-type operation, calculate average instantaneous power values of the welding-type operation for discrete, non-overlapping time periods by multiplying voltage measurements and corresponding current measurements; identify an end of the welding-type operation; determine a duration of the welding-type operation; calculate a total average instantaneous power of the welding-type operation based on the average instantaneous power values for the time periods and the duration of the welding-type operation; and determine whether an acceptable range of the welding-type operation is exceeded based on the total average instantaneous power and the duration of the welding-type operation.

Abstract: A machine-vision-assisted welding system comprises welding equipment, a time of Flight (ToF) camera operable to generate a three-dimensional depth map of a welding scene, digital image processing circuitry operable to extract welding information from the 3D depth map, and circuitry operable to control a function of the welding equipment based on the extracted welding information. The welding equipment may comprise, for example, arc welding equipment that forms an arc during a welding operation, and a light source of the ToF camera may emit light whose spectrum comprises a peak that is centered at a first wavelength, wherein the first wavelength is selected such that a power of the peak is at least a threshold amount above a power of light from the arc at the first wavelength.

Abstract: An arc welding apparatus and corresponding method includes a torch, a non-consumable electrode and a consumable electrode both disposed within the torch, a wire feeder configured to feed the consumable electrode in a vicinity of the non-consumable electrode, a first power source and a second power source that provide independent current, respectively, to the non-consumable electrode and the consumable electrode, and a weld process controller to control outputs of the first power source and the second power source such that a concentrated arc is formed, as a heat source, between the non-consumable electrode and a workpiece, and an inter-electrode arc is formed between the consumable electrode and the non-consumable electrode to melt the consumable electrode. The approach is characterized by low heat input, low distortion, low spatter, and the relative high speed or high deposition of laser and laser-MIG hybrid and other forms of multi-wire/multi-electrode welding, cladding, and additive manufacturing.

Abstract: A method and apparatus includes a monitor in communication with, e.g., a work glove with built-in sensors to track an operator's physical activities including intermittently using hand tools, hand motion, and position or location in a work area. The sensors provide time-series data representative of the activities, and the monitor classifies and sequences the activities based on the time-series data along with, optionally, machine tool operational data. The classified and sequenced activities may then compared to instructed work procedures, ensuring correct work materials are used in production, and ensuring an operator's safety by detecting unsafe or abnormal work conditions.