Multi-Objective Optimization Design for Body Hoist Mechanism of Mining Dump Truck

2012 ◽  
Vol 490-495 ◽  
pp. 396-401
Author(s):  
Yi Ting Kang ◽  
Jue Yang ◽  
Wen Ming Zhang

The rear multi-stage cylinder direct-acting hydraulic body hoist mechanism is widely used in mining dump truck. The working principle of the body hoist mechanism is introduced. The dumping process is simplified through the introduction of “dumping line” and the variation of ore mass and hoist torque are analyzed. The optimization design of the position of body hoist mechanism is done using Maple software on the basis of direct search method aimed at minimizing the initial hoist force and the stroke of cylinder and maximizing the hoist force arm when the second stage cylinder starts to stretch out.

Author(s):  
Zhi-Ying Zheng ◽  
Quan-Zhong Liu ◽  
Yong-Kang Deng ◽  
Biao Li

To improve the efficiency of a hydraulic torque converter with adjustable pump at low load and thus increase the operation scope of high efficiency, multi-objective optimization design is carried out for the blade angles by incorporating three-dimensional steady computational fluid dynamics numerical simulation, design of experiments, Kriging surrogate model and multi-objective genetic algorithm. The results show that the angle of blade trailing edge in first-stage stator is the main influencing factor of the efficiency of hydraulic torque converter with adjustable pump. All the peak efficiencies of hydraulic torque converter with adjustable pump at three openings of the pump are improved after optimization, and the increased extent increases with decreasing opening of the pump. The operation scope of high efficiency consequently increases from 2.46 to 2.67. Besides, the improvement for the efficiency of hydraulic torque converter with adjustable pump is achieved by increasing the efficiency of the pump. The increase of angle of blade trailing edge in first-stage stator and the decrease of angle of blade leading edge in second-stage turbine after optimization induce the positive angle of attack at the inlet of second-stage turbine, thus realizing the performance optimization of hydraulic torque converter with adjustable pump. This also explains the increased proportion of the torque of second-stage turbine at larger speed ratios after optimization and the fact that the angle of blade trailing edge in first-stage stator is the main influencing factor of the efficiency of hydraulic torque converter with adjustable pump. The established multi-objective optimization method provides a reference solution for the optimization design of blade angles and for the improvement of integrated efficiency of hydraulic torque converter.


2012 ◽  
Vol 490-495 ◽  
pp. 2191-2195
Author(s):  
Jing Gao Lin ◽  
Jue Yang ◽  
Wen Ming Zhang

In the paper, analysis and comparison is made for different optimization design methods of the separation steering trapezoidal mechanism based on the steering system of 170 tons mining dump truck. The optimal design method is obtained, and research shows that the steering mechanism analysis method introduced in many automotive design textbooks has errors and should be improved.


2021 ◽  
Vol 19 (3) ◽  
pp. 25-32
Author(s):  
A. P. Nikishechkin ◽  
L. M. Dubrovin ◽  
V. I. Davydenko

The article reviews the results of the authors’ research on the possibility of using the magnetic field strength generated by DC traction motors as a useful signal carrying information about weight of cargo transported by a mining dump truck.The objective of the research was to find a way to determine weight of cargo carried by a mining dump truck. In contrast to the existing onboard weighing systems, it becomes possible to create a compact autonomous device that does not require integration of sensors into the body structure and electrical circuits of the truck.Problems of increasing the efficiency of measuring devices based on fluxgate converters are considered with the view of using them as onboard systems for estimating cargo weight. The sensitivity of the fluxgate sensor can be increased by increasing both the amplitude and the effective value of the voltage applied to its excitation winding. The proposed original circuit for feeding the fluxgate sensor’s excitation winding from a modulated signal generator made on logical elements allows increasing the voltage supplied to the fluxgate sensor’s excitation winding without increasing the supply voltage, and by increasing voltage surges at the fronts of rectangular modulated high-frequency pulses, as well as due to resonant phenomena. The use of such a generator excludes the influence of the fluxgate sensor’s excitation winding on the generator frequency, since the frequency of modulating signals becomes the operating frequency of the fluxgate sensor, and it remains unchanged. The increased sensitivity makes it possible to install the sensor in any convenient place in the dump truck cab, and not in the immediate vicinity of traction motors.Evaluation of cargo weight is carried out during movement of the dump truck along the control section of the road. The readings are taken from an ammeter (milliammeter), the scale of which is pre-calibrated in mass units. Measurements of mass should be carried out under the same modes of dump truck movement and with the same location of the fluxgate sensor as when calibrating the scale of the measuring device. The control section of the route on which the measurements are carried out must be the same or similar to the one on which the measuring device was calibrated.The proposed device is distinguished by ease of use, is characterised by low energy consumption, is compact, does not contain expensive elements and does not require careful maintenance.


2013 ◽  
Vol 68 (10) ◽  
pp. 41-45
Author(s):  
S. V. Kolesov ◽  
A. N. Baklanov ◽  
I. A. Shavyrin

Aim. Determination of the optimal diagnostic and treatment strategy in patients with scoliosis and having an anatomic shortening of the lower limb. Patients and methods. Surgical correction of scoliosis held 8 to patients with lower limb shortening caused by congenital dislocation of the hip (n = 3), anatomic shortening of the lower extremities due to the hip (n = 1), the shin bone (n = 4). Shortening before correction and fixation of scoliosis ranged from 6 to 14 cm, after surgery on the spine has been reduced by 2-4 cm achieved reduction or removal of pelvic obliquity . The second stage, after 8-12 months, performed surgery to address shortening of the lower extremity. Osteotomy of the femur with the imposition of a spoke - rod device held 4 tibial osteotomy with the imposition of external fixation device Spoke - and 4 patients and in the subsequent limb lengthening was performed by compression-distraction osteosynthesis. Results. After the dorsal stabilization and fixation of the spine scoliosis correction averaged 64% (from 76 to 27 °), the value of breast / thoracolumbar kyphosis after surgery failed to bring to the physiological (average 43 °). Misalignment of the pelvis is reduced by 67 % (from 24 to 8 °), which reduced the shortening of the lower limb by an average of 3 cm (compensation relative shortening by reducing or eliminating the distortion of the pelvis). Further compensation shortening held on the second stage of treatment, representing an osteotomy and subsequent elongation of the femur or tibia bones by transosseous compression-distraction osteosynthesis by Ilizarov. Conclusions. Multi-stage treatment reduced the degree of spinal deformity, to normalize the balance of the body, restore the function of distance without the use of orthotic devices and means of support. 


Author(s):  
Dengfeng Wang ◽  
Shenhua Li

To collaboratively improve the lightweight and frontal collision safety performance of the automobile body, the material–structure–performance integrated multi-objective optimization design of the front-end structure was implemented in this study. The hybrid weight–grey relational analysis (HW–GRA) method was proposed to address the problem that the Pareto optimal compromise solution of multi-objective optimization cannot be easily selected. The design variables of the material and structural parameters were recorded through material type coding and model parameterization. To satisfy the basic static–dynamic performance constraints of the body, the RSM–Kriging surrogate model, design of experiments, and multi-objective particle swarm optimization algorithm were used to optimize the material and structural parameters to improve the lightweight and crashworthiness of the body. The Pareto optimal compromise solution was determined using the HW–GRA method. The decision result of the proposed method was more robust and rational than those of single weighting techniques combined with GRA and hybrid weighting approach combined with TOPSIS. After the multi-objective optimization and decision-making, the basic static–dynamic performance of the body demonstrated a change of less than 2.0%, which satisfied the constraint requirements. The mass of the body was reduced by 2.4 kg, and the frontal collision safety performance of the body was significantly improved.


Mechanika ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 168-174
Author(s):  
Chengji MI ◽  
Zhonglin HUANG ◽  
Wentai LI ◽  
Di KANG ◽  
Dong ZHANG ◽  
...  

In order to improve fuzzy fatigue reliability and make weight reduction of A-type frame in an electric mining dump truck considering multi-source uncertainties from design, manufacturing and use stage, a multi-objectives optimization method based on the interval theory was proposed in this paper. The thickness of four steel plates in welded A-type frame was regarded as certain design variables, while the elastic modulus and density of material was considered as uncertain variables as well as the load at front traction joint. The relationship between optimization objectives and variables was constructed by the response surface method, and was transformed by the interval method. Then, the optimization problem was solved by the non-dominated sorting genetic algorithm, which was found that the fuzzy fatigue reliability reached up to 98.45 % at the expense of some weight.


Author(s):  
Hannah Newton

Serious illness often left the body weak and lean, full of the ‘footsteps of disease’; it wasn’t until full strength and flesh had returned that the patient was pronounced back to health. This chapter explores the second stage of recovery in contemporary perceptions, the restoration of strength, or ‘convalescence’. It asks how the patient’s growing strength was measured and promoted, and unveils a concept of convalescent care, ‘analeptics’. The central argument is that both the mechanisms and the measures for the restoration of strength were intimately connected to the ‘non-natural things’, six dietary and life-style factors. The opening sections explain why the body was weak after illness, and categorize the convalescent within contemporary schemes of health. The rest of the chapter is structured around the signs of increasing strength, each of which was associated with a particular non-natural: ‘the final purge’, ‘sleeping through the night’, ‘feeling hungry’, ‘growing cheerful’, and ‘sitting up to going abroad’.


2021 ◽  
Vol 13 (4) ◽  
pp. 1929
Author(s):  
Yongmao Xiao ◽  
Wei Yan ◽  
Ruping Wang ◽  
Zhigang Jiang ◽  
Ying Liu

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.


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