The electric screwdriver apparatus control method is executed by an electric screwdriver apparatus. A processing module of the electric screwdriver apparatus loads a configuration data, and the processing module controls a motor module to accelerate a rotational speed to a target rotational speed. When a revolution number exceeds a first revolution number, the processing module controls the motor module to decelerate to a first rotational speed. When a torque value exceeds a first torque value, the processing module determines whether a fastening process of a screw ends with a hard stop or a soft stop according to the configuration data. If the fastening process ends with the hard stop, then the screw is additionally tightened for a hard stop angle, vice versa. The processing module tightens the screw according to the configuration data, the torque value and a rotational speed value, improving the process of fastening the screw.

A simulation device for the screw joint simulation of a nutrunner includes a test connecting element rigidly connected to a brake unit. The nutrunner can be coupled to the test connecting element and activated to exert a torque that rotates the test connecting element about an axis of rotation. Activation of the brake unit brakes the test connecting element. A torque transducer includes a rotational angle transducer for measuring a rotational angle by which the test connecting element rotates about the rotation axis. The simulation device includes a zero mark, and the brake unit can be adjusted to a zero angle with respect to the zero mark.

The present disclosure provides systems and methods for determining residual tension of a target bolt. An example method may include modeling ratios of times-of-flight of longitudinal waves and times-of-flight of shear waves as a function of tension for a plurality of test bolts. The modeling may include receiving data from longitudinal wave and shear wave transducers, analyzing the data to assess certain quality characteristics, and using a machine learning algorithm to create the model. The example method may further include determining a ratio of a time-of-flight of longitudinal waves and a time-of-flight of shear waves in a target bolt. The example method may further include determining residual tension in the target bolt based on the model and the ratio of a time-of-flight of longitudinal waves and time-of-flight of shear waves in the target bolt.

The present disclosure provides systems and methods for determining residual tension of a target bolt. An example method may include modeling ratios of times-of-flight of longitudinal waves and times-of-flight of shear waves as a function of tension for a plurality of test bolts. The modeling may include receiving data from longitudinal wave and shear wave transducers, analyzing the data to assess certain quality characteristics, and using a machine learning algorithm to create the model. The example method may further include determining a ratio of a time-of-flight of longitudinal waves and a time-of-flight of shear waves in a target bolt. The example method may further include determining residual tension in the target bolt based on the model and the ratio of a time-of-flight of longitudinal waves and time-of-flight of shear waves in the target bolt.

An instrumented, load-sensing washer that can be used on a bolted joint to facilitate determining an axial clamping load of the bolted joint. The washer includes an annular washer body having first and second oppositely disposed axial ends and an outer circumferential sidewall. At least one strain gauge is provided on the circumferential sidewall and is configured to sense a deformation of the washer body do to clamping forces of the bolted joint. The washer further includes a communication assembly operatively coupled with the at least one strain gauge. The communication assembly may include an integrated circuit adapted to receive electrical signals from the at least one strain gauge related to the axial load borne by the washer.

A detector is a detector that detects fastening axial force applied by a fastening unit in an axial direction. The detector includes a strain element that has a through hole through which a bolt portion that the fastening unit has is inserted, and a strain sensing sensor that senses strain of the strain element. The strain element has a block-like form and has a planar portion following the axial direction on a side face thereof. The strain sensing sensor is provided on the planar portion.

A detector is a detector that detects fastening axial force applied by a fastening unit in an axial direction. The detector includes a strain element that has a through hole through which a bolt portion that the fastening unit has is inserted, and a strain sensing sensor that senses strain of the strain element. The strain element has a block-like form and has a planar portion following the axial direction on a side face thereof. The strain sensing sensor is provided on the planar portion.

A method for predicting a clamp force using a convolutional neural network includes: generating a cepstrum image from a signal processing analysis apparatus; extracting a characteristic image by multiplying a predetermined weight value to pixels of the generated cepstrum image through artificial intelligence learning; extracting, as a representative image, the largest pixel from the extracted characteristic image; synthesizing an image by synthesizing the extracted representative image information; and predicting a clamp force by comparing the synthesized image with a predetermined value.

A signal acquiring method is provided using a plurality of fasteners with sensing elements configured to generate electrical signals as a function of the operating conditions of a plurality of readers, and an acquiring system. The method involves generating one or more electrical signals by means of the sensing elements, mechanically connecting the readers to the fasteners, and transferring the signals to the acquiring system by means of the readers.

A signal acquiring method is provided using a plurality of fasteners with sensing elements configured to generate electrical signals as a function of the operating conditions of a plurality of readers, and an acquiring system. The method involves generating one or more electrical signals by means of the sensing elements, mechanically connecting the readers to the fasteners, and transferring the signals to the acquiring system by means of the readers.