Hoist System Research Articles

Development aspects of cable cutter cartridge for helicopter application

This research work emphasizes on the development aspects of a cartridge cable cutter for helicopter application. This cartridge is used to rescue hoist system during emergency for helicopter application under adverse conditions. It is an electrically initiated cartridge in which two electrical squibs are used with specified current and voltage. As the cartridge is initiated, the squib gets incandescent and initiates an explosive train. A cartridge cable cutter is a propellant actuated device (PAD) that generates hot combustion gases having high temperature and pressure on burning of gun powder and propellant inside the cartridge case. The cable cutter cartridge under study is filled with energetic materials (EM) such as propellants and gun powder. It releases the energy very quickly which acts on the projectile i.e. the cutter in actual system. A projectile velocity measurement was carried out using Doppler RADAR (radio detection and ranging). To assess the projectile velocity is the unique design feature in armament field. It is responsible for the measurement of the projectile velocity at the muzzle end of velocity test rig (VTR). The minimum and maximum projectile velocities were experimentally measured in between 70 ms−1 and 150 ms−1. The projectile velocity measurement is an evaluation methodology as performance parameter of this cartridge. The cartridge under study has been developed meeting structural, functional and mechanical requirements. The cartridge has undergone various exhaustive qualification tests during development phase. The cartridge was thus designed, qualified and validated through rigorous development trials. The main objective of this article is to address development aspects of the cartridge cable cutter for helicopter application. In conclusion, after successful design, development and qualification trials, the cartridge was found to meet all the functional and operational requirements considering the end use.

Adaptive boundary control for a friction hoisting system during the loading process

This paper aims at the rope dynamic tension fluctuation (DTF) control in the friction hoisting system (FHS) during the loading process. The exact dynamic modelling of the tail and head ropes connected to the cage is considered. A disturbance observer is proposed to track the actual impact disturbance. The actuator acts at the friction wheel to pretension the system. The use of an adaptive neural network allows for the handling of system uncertainty. An appropriate control law is developed to stabilize the cage and suppress the rope DTF in FHS during the loading process. Numerical simulations and theoretical analysis are presented to prove the feasibility and effectiveness of the proposed control law. Numerical analysis results show that the head rope dynamic displacement fluctuation (DDF) and DTF amplitudes can be suppressed to at least 1/125 of their initial fluctuation amplitudes under the proposed control law.

Research on the Design of Multi-Rope Friction Hoisting System of Vertical Shaft Gravity Energy Storage System

Renewable energy generation methods such as wind power and photovoltaic power have problems of randomness, intermittency, and volatility. Gravity energy storage technology can realize the stable and controllable conversion of gravity potential energy and electric energy by lifting and lowering heavy loads. The hoisting system is an important component of a gravity energy storage system, and its lifting capacity and speed seriously restrict its energy storage capacity, energy conversion efficiency, and operational safety and reliability. In this paper, a design method for a multi-rope friction hoisting system of a vertical shaft gravity energy storage system is proposed. The parameter design and calculation of the hoisting rope, balance rope, and friction wheel of the friction hoisting system under typical conditions were carried out. The static and dynamic anti-slip capabilities of the friction hoisting system under the typical condition were explored. The results show that the maximum acceleration and deceleration speed of the compacted strand wire rope scheme is the largest, and the lifting and lowering time is the shortest. The maximum acceleration and deceleration speed of the triangular strand wire rope scheme is the lowest, and the lifting and lowering time is the longest. The dynamic tension of the hoisting rope at the heavy-load end is positively correlated with the acceleration, and the maximum value occurs in the accelerated lifting stage and decelerated lowering stage of the heavy load. The static anti-slip safety factor between the hoisting rope and the friction lining and the specific pressure between the hoisting rope and the friction lining comply with the requirements of China’s Safety Regulations for Coal Mines. The dynamic anti-slip safety factor of the hoisting system under different rope selection schemes is greater than the minimum value of 1.25 stipulated in the Safety Regulations for Metal and Nonmetal Mines. The research results are of great significance for the safety, reliability, and stable and efficient energy storage of a gravity energy storage system.

Research on fault diagnosis of rigid guide in hoist system based on vibration signal classification

Research on fault diagnosis of rigid guide in hoist system based on vibration signal classification

The Influence of Rope Guide Sleeve Clearance on the Lateral Oscillation of Rope Guided Conveyance in Mine Hoist System caused by the Aerodynamic Force

The lateral oscillation behaviour of rope guided conveyances was so complicated that the rope guided hoisting system hasn’t been understood thoroughly so far. In this study, the CFD tool was used to obtain the aerodynamic force acting on the conveyance by writing a user-defined function (UDF), and then the oscillation behaviour of rope guided conveyances was investigated numerically by Matlab with the variation clearance between the guide sleeve and the guide rope. A non-smooth oscillation model of the rope guided conveyance was established by considering the clearance between the guide sleeve and the guide rope. Results show that the aerodynamic buffeting forces had a notable influence on the oscillation behaviour of rope guided conveyances during the conveyances passing each other. The lateral acceleration of the rope guided conveyances showed a minor change with the increase of the clearance. However, the oscillation amplitude of the conveyances manifested a positive correlation with the rope guide sleeve clearance.

Design and Simulation of Flexible Rail Hoisting System Without Wind Rope

Under extreme terrain conditions, there is no site to arrange the control rope retraction system. In this paper, a flexible guide rail hoisting system is designed to replace the traditional transmission tower wind rope hoisting method. Taking the JC27151CG tower assembly as the object, the design of the flexible guide rail hoisting system is carried out, and the ADAMS software is used to establish the dynamic model of the flexible guide rail hoisting system. The mechanical analysis of the flexible guide rail hoisting system is carried out from the perspectives of statics and dynamics.

Development of a Design Software for a Shaft Hoisting System in Underground Mines

Development of a Design Software for a Shaft Hoisting System in Underground Mines

Efficiency Study Analysis of Electrical Energy in Container Stacking Equipment Rubber Tyred Gantry Crane (RTGC) Using Hybrid Energy Source Method

This research to perform Efficiency Study Analysis Of electrical energy In Container Stacking Equipment Rubber Tyred Gantry Crane (RTGC) Using Hybrid Energy Source Method. RTGC gets power supply from Engine Diesel Generator with capacity of 350 kW. However, Genset power source in RTGC has drawbacks, such as when RTGC condition does not move (stationary) can lead to waste of fuel on diesel engine drivers. the Hybrid Energy Source is one of the technology which combines electrical energy source from generators and batteries, The battery of hybrid system can obtain electric energy saving until 32%, where for the Hoist system 11,72 %, Trolley system 33,63 % dan Gantry system 7,58 %.

Investigation of a New Vibration-Absorbing Roller Cage Shoe with a Magnetorheological Damper in Mine Hoisting Systems

In the mine hoisting system, rigid guide failures and the influence of internal and external airflow intensify vessel transverse vibration, heightening demands on operational safety and equipment reliability. This paper focuses on integrating magnetorheological dampers and disc springs as the roller cage shoe buffer for vibration control, resulting in an innovative buffer device. The structure and magnetic circuit were meticulously designed. Using Maxwell simulation, we analyzed the impact of magnetic circuit parameters—specifically the damping gap and core radius—on the magnetorheological damper. We optimized these parameters through orthogonal testing to enhance damping and vibration reduction. This led to a notable 58% increase in the damper output force. A virtual prototype of the lifting system under actual working conditions was established. A simulation analysis verified the vibration-damping performance of the optimized roller cage shoe. The results indicate that the new roller cage shoes effectively inhibit transverse vibration, surpassing traditional roller cage shoe performance. This is scientifically and practically significant for ensuring safe cage shoe lifting system operation. This paper can provide a crucial theoretical basis for the design of roller cage shoes in ultra-deep mine lifting systems.

Simulation Modeling and Temperature Over-Advance Perception of Mine Hoist System Based on Digital Twin Technology

The temperature prediction of hoist motor is one of the effective ways to ensure the safe production of mine hoist. Digital twin technology is a technology that combines the physical system of the real world with the digital model of the virtual world. Through digital twin technology, the physical system in the real world can be monitored and simulated in a virtual environment, and the state information of these systems can be monitored in real time. Recurrent neural network is a kind of neural network suitable for processing sequence data, which can automatically extract and learn the feature information in sequential data. To achieve online monitoring and over-advance perception of the temperature of the mine hoist motor, a temperature prediction and advance sensing method based on digital twins and recurrent neural network is proposed. To begin with, a high-fidelity digital twin monitoring system for mine hoists is constructed, enabling the acquisition of real-time temperature data. These temperature data are then fed into a neural network for feature extraction and precise prediction of the motor’s state. Subsequently, based on the temperature prediction module in the digital twin hoist monitoring system, a user interface (UI) is developed, and a fully functional digital twin temperature monitoring system is built and experimentally validated. The experimental results demonstrate that the digital twin system effectively monitors the real-time temperature state of the motor during the operation of the mine hoist. Furthermore, the integration of digital twin and recurrent neural network enables the accurate prediction and proactive detection of temperature variations in the motor of the mine hoist. This innovative approach introduces a novel perspective for implementing predictive maintenance in the mining industry, enhancing the safety and reliability of mine hoists. Additionally, it offers valuable technical support in improving maintenance efficiency and reducing associated costs.

Adaptive fuzzy command–filtered control strategy for electro-hydraulic braking systems of winding hoist with prescribed performance

In the braking control of winding hoisting systems, proper braking strategy is of great significance in reducing the probability of significant hidden dangers and improving the safety and reliability of the system. However, as a typical elastic and variable stiffness system, the winding hoisting systems have large nonlinearity, parameter uncertainties, random disturbances, and so on, which severely restrict the improvement of braking performance. To this end, an adaptive fuzzy command–filtered controller with prescribed performance is developed for electro-hydraulic braking systems of winding hoist in this article. First, the dynamic model of the winding hoisting system is established with consideration of the elasticity of wire rope. Based on the established dynamic model, using the fuzzy logic system, the algebraic loop problem caused by non-strict feed structure is overcome, and the unknown nonlinearities arising from modeling error, parameter uncertainties, and system disturbances are also approximated for the subsequent active unknown nonlinearities compensation. Next, to enhance the convergence rate and guarantee the position tracking error within a prescribed region, a tracking error transformation method based on the prescribed performance function is utilized. Subsequently, the adaptive fuzzy control algorithm is developed with command filters, which can also avoid the complexity explosion issue due to the analytic calculation of the derivatives of stabilizing functions, and the rigorous stability of the close-loop system is proved by the Lyapunov theory. Finally, experimental results are utilized to illustrate the effectiveness of the developed controller.

Parameter Calibration and System Design of Material Lifting System for Inclined Shaft Construction

As a key transportation equipment in the construction of long tunnels with large slope, the material hoisting system plays an important role in the transportation of materials in sloping shafts. This paper proposes a parameterized calibration scheme for the hoisting system based on the structure and working principle of the hoisting system, taking the wire rope, hoist, motor and overhead wheel as the research objects, and according to the relevant industry specifications and numerical calculation methods. Based on the structural design and functional analysis of the hoisting system, a reasonable control system, monitoring system and safety protection devices are designed, and the calibration scheme and the designed system are introduced into the Dianzhong water diversion project for verification. The parameters of each component of the hoisting system were calculated as follows: maximum breaking tension value of wire rope 490.29 KN, drum diameter 2000 mm, motor hoisting power 213.7 KW, and the system design was as follows: control system selects frequency conversion electric control method, safety protection device selects ZDC30-2.5 anti-running device. The results show that: the hoisting system components structure parameters meet the specification requirements—safety protection devices can effectively prevent the occurrence of sports car slippage and man-car jumping rail overturning accident—to meet the requirements of the construction period transport capacity and transport safety. The relevant experience can provide the basis for the design of a material hoisting system for a similar inclined shaft construction.

Simulation for Motion of Platform During Truck Changing in Trucklift Slope Hoisting System in Open Pit Mines Using ADAMS and Matlab/Simulink

Simulation for Motion of Platform During Truck Changing in Trucklift Slope Hoisting System in Open Pit Mines Using ADAMS and Matlab/Simulink

Nonlinear dynamics of time-varying curvature balance rope coupled with time-varying length hoisting rope in friction hoisting system

Mine friction hoisting system is a typical multi-body system composed of traction sheave, conveyance, hoisting rope, and balance rope. Hoisting rope is of large-scale and flexible tension, leading to large amplitude elastic vibration and huge tension fluctuation during hoisting movement. Balance rope is of small tension amplitude and bending modulus, undergoing significant curvature changes, large displacement, and large deformation. Considering the complex coupling vibrations between the moving hoisting rope and balance rope in the ultra-kilometer-deep shaft, a coupling modeling method of the variable-length hoisting rope with the variable-curvature balance rope is proposed. Based on the absolute nodal coordinate formulation(ANCF), the balance rope is modeled by non-equal-length and variable-number elements, and the hoisting ropes on both sides are modeled by variable-length and variable-number elements. A flexible rope vibration experiment platform is built in the laboratory to verify correctness of the proposed theoretical model.The experimental results are in good agreement with those in theoretical simulation. Besides, the nonlinear coupling dynamic behaviors of hoisting rope and balance rope in an ultra-kilometer-deep well are studied. It reveals the non-stationary phenomenon of hoisting rope and balance rope with a long-time range. Both sides of flat balance rope undergo large bending deformation and non-stationary response when transient resonance occurs in hoisting ropes.

Development of Fault Detection Systems: The Hadoop Ecosystem Implementation

Semiconductor manufacturing relies on a long and complex production line for wafer fabrication. In a modern semiconductor fabrication plant (fab), a wafer manufacturing line is composed of more than 1,000 manufacturing tools and an overhead hoist system for delivering wafer lots among the tools. Novel technologies, such as Internet of Things (IoT) and software engineering technologies, are adopted in semiconductor manufacturing such that large amounts of data can be collected from manufacturing tools. Also, these tools and the overhead hoist system should cooperate well with each other. Due to the data-processing capacity limitation in a current fault detection and classification (FDC) system, the diagnosis efficiency is limited such that some undesired events cannot be detected in time, leading to significant economic loss. With the booming development of big data technology, this work conducts a study on a new FDC framework based on a Hadoop ecosystem to deal with the data-processing limitation and improve diagnosis efficiency. Also, a migration path is presented such that the current FDC system can be smoothly migrated to a Hadoop ecosystem-based one without shutting down a wafer fabrication line. Experimental results show that the proposed FDC framework can run safely and stably.

Coal dust dispersion with the moving conveyance in a high-rise building for the mine hoist system.

The present study investigates dust generated from the unloading process in a high-rise building for the mine hoist system and analyzes dust dispersion with the moving conveyance in the building. First, the gas-solid two-phase flow in the building was investigated based on the CFD-DPM method. In particular, the moving conveyance was considered in detail and treated via thedynamic mesh technology. Then, the airflow and dust distribution were investigated in the building. The airflow and the dust concentration at selected points show good agreement with the relative results of field measurements by ourselves. It is found that the descending conveyance significantly influences the surrounding flow field and the spatial and temporal distribution of dust. Dust concentration before the dust source (2 m × 2 m) is high, which extends downward with the conveyance. Dust concentration of the lower floors increases obviously when compared with that of the condition without the movement of the conveyance. The descending velocity of the conveyance also affects the amount of PM2.5 discharged from the return air outlet. The fitting functions are provided to predict PM2.5 emissions to the surrounding atmosphere. The research results are of great significance for the improvement of the dust control system for cleaner production technology.

Research on image enhancement algorithm for the monitoring system in coal mine hoist

As the mine hoist monitors video images with poor light, low brightness, heavy dust, and low contrast, the monitoring video images are not conducive to monitoring. They cannot meet the needs of applications. Based on actual video surveillance data, this paper proposes a dark channel prior (DCP) method integrated with a guided image filter video image enhancement algorithm. Firstly, we analyzed the characteristics of the mine hoist system’s video images. Then, the DCP technique was used to enhance the video images. A guided image filter algorithm was introduced to ensure that the video has more clarity and visual impact. Comparing the suggested method to the other four algorithms, it performed better both subjectively and objectively than the algorithms mentioned above. Experiments demonstrate that the proposed technique can successfully improve the entire clarity and contrast of video images while avoiding the over-enhancement of bright areas close to the light source, meeting the practical application requirements of video surveillance.

Hoist-Based Shape Memory Alloy Actuator with Multiple Wires for High-Displacement Applications

Shape memory alloys (SMAs) are smart materials that change their crystalline structures when subjected to heat or tension, resulting in a macroscopic deformation. When applied to actuators, SMAs present a remarkable load–weight ratio and flexibility, making them suitable for diverse applications. However, challenges such as their energy consumption, nonlinear control, and low displacement must be considered. This paper presents a new strategy for improving the total displacement while adding neither supplementary SMA wires nor complex external devices. In addition, a novel control strategy is proposed to improve the nonlinearity of SMAs’ behavior. A hoist system was developed to linearly increase the displacement with the number of pulleys and wire turns used. The design also used parallel actuation to increase the load capacity. The actuator presented a high load capacity with reduced weight, lifting more than 100 times its own mass, with a low-cost and robust external system. The simplicity of the actuator’s control and production and its lightness make it a suitable option for a wide range of applications, including wearable exoskeletons.

Self-Supervised Metalearning Generative Adversarial Network for Few-Shot Fault Diagnosis of Hoisting System With Limited Data

Few-shot data collected from hoisting system suffer from inadequate information in the practical industries, which reduces the diagnostic accuracy of the data-driven-based fault diagnosis approaches. To overcome this problem, in this article, a self-supervised metalearning generative adversarial network algorithm is proposed. The purpose of the proposed algorithm is to determine the optimal initialization parameters of the model by training on various data generation tasks, thus accomplishing new data generation using only a small amount of training data. Specifically, a self-supervised strategy is proposed to improve the generalization performance of the proposed algorithm. Besides, the fault data of the hoisting system are collected for data generation, and the experimental results show that the proposed algorithm can determine the optimal initialization parameters under the condition of insufficient datasets. The effectiveness of the proposed algorithm for few-shot fault diagnosis is verified by using a mixture of real data and generated data.

Research on Control Strategy of Electro-Hydraulic Lifting System Based on AMESim and MATLAB

Given the influence of flow instability, parameter uncertainty, and unpredictable disturbances in electro-hydraulic lifting systems, high-precision position control for electro-hydraulic lifting systems is challenging to achieve. This study proposes an observer–sliding mode control strategy to improve the control accuracy of the tractor electro-hydraulic lifting system. Firstly, the principle of the electro-hydraulic hoisting system is analyzed. Secondly, a mathematical model of the electro-hydraulic hoisting system is established, and the electro-hydraulic hoisting system is reduced to design an observer to achieve a real-time evaluation of the unknown system state and disturbance. The observer and the sliding mode control are then integrated into a controller to improve system response. Theoretical analysis demonstrates that the controller ensures that the actuator can achieve the desired control effect even under disturbing effects. Finally, a joint AMESim–MATLAB simulation and conducting pilot studies are carried out to compare the observer–sliding mode control with PID (Proportion–Integral–Derivative) control and sliding mode control. At the same time, in the process of the simulation and test, the symmetric structure as the electro-hydraulic lifting system was used to build a ploughing depth simulation system (changes in the hydraulic cylinder thrust simulate changes in ploughing depth values). The results show that the proposed observer–sliding mode control strategy can achieve a better position and pressure tracking and parameter change robustness than PID control and sliding mode control.