Gears are important mechanical parts that transmit motion and power by interaction of meshed tooth surfaces. The processing quality of tooth surfaces has a direct influence on the performance of gear transmission. In order to verify whether the machining accuracy of the gear tooth surface meets the design and use requirements, it is necessary to measure its accuracy with related instruments. The geometric characteristics of the gear tooth surface include tooth profile, helix, tooth pitch and surface roughness, etc. For the measurement of tooth profile, commonly used instruments can not obtain the values of tooth profile shape, waviness, and surface roughness in one measurement. The cylindrical gear tooth profile measurement scheme based on the roughness profiler can realize the simultaneous measurement of tooth profile deviation, waviness and surface roughness. This is a relatively novel method, and there is a lack of relevant study on the uncertainty evaluation of the measurement results. This article introduces the measurement principle of cylindrical gear tooth profile based on roughness profiler, and analyzes the source of uncertainty in the measurement. The feasibility of the method is verified through experiments, and the uncertainty evaluation result is given.
Aiming at the problems of overshoot, weak disturbance resistance ability and poor adaptive ability of permanent magnet synchronous motor using PI control algorithm. Firstly, the field oriented control (FOC) model of permanent magnet synchronous motor is analyzed. Secondly, based on the active disturbance rejection control and fuzzy control principle, the speed loop controller is improved, and the fuzzy active disturbance rejection control algorithm is designed. The control algorithm preserves the advantages of active disturbance rejection control, and realizes the online tuning function of active disturbance rejection control parameters, which improves the adaptive ability of the system. Finally, the simulation experiment is carried out on the MATLAB / Simulink platform, and the results show that the fuzzy active disturbance rejection control algorithm has the characteristics of no overshoot, high control accuracy and strong adaptive ability.
The performance of a modular robot joint is determined by its structure and control algorithm, which is difficult to be determined by theoretical analysis. Therefore, the hardware and software of a robot joint performance test system are designed in the paper. Firstly, the hardware system consists of a mechanical device, sensors, and a data acquisition module. Secondly, the software system is developed based on the LabVIEW programming platform, which mainly includes a performance evaluation module and a human-computer interaction module. The performance of the robot joint such as output rated speed, output rated torque, output speed-torque characteristic curve, repeated positioning accuracy, back clearance, torsional stiffness, and transmission ratio can be tested. Finally, the function and feasibility of the system are verified by experiments, which can meet the requirements of modular joint performance testing.
A new approach was proposed by combing Ensemble Empirical Mode Decomposition (EEMD) algorithm and Back Propagation (BP) neural network for detection of gear through transmission noise analysis. Then feature values of the feature signals are calculated. The feature values which have a great difference for different defect types are chosen to build an eigenvector. BP neural network is used to train and learn on the eigenvector for recognition of gear defects intelligently. In this study, a comparative experiment has been performed among normal gears, cracked gears and eccentric gears with fifteen sets of different gears. Experimental results indicate that the proposed method can detect gear defect features carried by the transmission noise effectively.
A tester for measuring face gears’ transmission error was developed based on single-flank rolling principle. The mechanical host was of hybrid configuration of the vertical and horizontal structures. The tester is mainly constituted by base, precision spindle, grating measurement system and control unit. The structure of precision spindles was designed, and rotation accuracy of the spindleswas improved. The key techniques, such as clamping, positioning and adjustment of the gears were researched. In order to collect the data of transmission error, high-frequency clock pulse subdivision count method with higher measurement resolution was proposed. The developed tester can inspect the following errors, such as transmission error of the pair, tangential composite deviation for the measured face gear, pitch deviation, eccentricity error, and so on. The results of measurement can be analyzed by the tester; The tester can meet face gear quality testing requirements for accuracy of grade 5.
KEYWORDS: Logic, Logic devices, Signal processing, Modulation, Clocks, Four wave mixing, Optical signal processing, Semiconductor optical amplifiers, Photonics, Signal attenuation
To cope with the development of Carrier-suppressed-return-to-zero-on-off-keying (CSRZ-OOK) modulation format, it is
of great significance to investigate all-optical logic gates to process CSRZ-OOK format signals. To the best of our
knowledge, for CSRZ-OOK signals, only logic AND gate has been demonstrated while other logic functions haven't
been explored until now. In this paper, an all-optical logic unit to process CSRZ-OOK signals based on four-wave
mixing (FWM) arising in a semiconductor optical amplifier (SOA) is proposed. A logic OR gate and two logic AND
gates with the CSRZ-OOK format unchanged could be simultaneously achieved without reconfiguration in this single
unit. The performance of 40 Gb/s logic operation is firstly evaluated with numerical simulations by a comprehensive
dynamic model considering three-input induced FWM in an SOA. Then, experimental demonstrations at 10 Gb/s with
clear waveforms and high extinction ratios (ERs) further verify the logic integrity of this scheme.
The insufficiency of single-flank testing is analyzed. Today's solutions and their existing problems are discussed. Based
on this, the gear pair integration error (GPIE) is used to efficiently eliminate the insufficiency of the single-flank testing.
GPIE takes all errors of a gear pair as a set, and this set is represented by the gear pair integration error curve (GPIEC)
which is formed in the way that the deviations of all points on conjugate tooth flanks of the gear pair are marked with the
same base zero and are arranged along the action line of the gear according to the meshing sequence of the
correspondent mesh points. An introduction of the deduction of this theory and its definition formula, as well as the
synthesis method of the GPIEC are presented. Finally, the feasibility and efficiency of the theory are demonstrated in
resolving the insufficiency of the single-flank testing and analyzing the sources of transmission quality and gear noise
through the comparison between the GPIEC of a gear pair and its transmission error curve. The significance of the
theory are summarized with respect to their influence upon formulating standards for gear tolerance, analyzing errors of
gear-cutting machines and transmission quality of the gear pair, and innovating ways to the research of the dynamic
characteristics of gears and their noise.
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