Force Analyzing and Parameter Optimization of the Telescopic In-Pipe Robot

2015 ◽  
Vol 738-739 ◽  
pp. 941-945
Author(s):  
Di Qu ◽  
Hua Song ◽  
Jing Sun
Keyword(s):  
Structural Parameters ◽  
Small Diameter ◽  
Optimal Solution ◽  
Basic Structure ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Trenchless Technology ◽  
Motor Torque ◽  
Underground Pipelines ◽  
Locking Mechanism

Typical wheeled or tracked robot could hardly apply to middle or small diameter underground pipelines laid by trenchless technology. Aiming at this kind of pipeline’s characteristics, this paper puts forward a basic structure of telescopic in-pipe robot. To provide necessary theoretical basis for the device selection, the mechanical model and force analyzing are given in detail. The speed of robot, as well as the motor torque of locking mechanism, could be expressed as the function of the robot’s structural parameters. As a result, the robot’s structural parameters take influence on its performance. In order to achieve the best performance, it is necessary to use the multi-objective optimization method to select these parameters. Using the genetic algorithm toolbox, the optimal solution of these parameters was obtained. Based on this, the motor torque of locking mechanism is minimum while the speed of the robot is maximum.

scholarly journals Multi-objective Optimization of Compliant Parallel Platform for Desired Stiffness and Workspace

2021 ◽  
Author(s):  
Hongwei Xu ◽  
Haibo Zhou ◽  
Zhiqiang Li ◽  
Xia Ju
Keyword(s):  
Numerical Model ◽  
Optimization Problem ◽  
Structural Parameters ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Element Analysis ◽  
Multi Objective ◽  
Performance Indexes ◽  
Parallel Platform ◽  
The Relationship

Abstract Stiffness and workspace are crucial performance indexes of a precision mechanism. In this paper, an optimization method is presented, for a compliant parallel platform to achieve desired stiffness and workspace. First, a numerical model is proposed to reveal the relationship between structural parameters, desired stiffness and workspace of the compliant parallel platform. Then, the influence of the various parameters on stiffness and workspace of the platform is analyzed. Based on Gaussian distribution, the multi-objective optimization problem is transformed into a single-objective one, in order to guarantee convergence precision. Furthermore, particle swarm optimization is used to optimize the structural parameters of the platform, which significantly improve its stiffness and workspace. Last, the effectiveness of the proposed numerical model is verified by finite element analysis and experiment.

scholarly journals Wear optimization of titanium alloy cutter milled with microtextured ball-end milling cutter

2020 ◽  
Vol 12 (1) ◽  
pp. 168781401989210
Author(s):  
Yuhua Zhang ◽  
Hongzhi Ji
Keyword(s):  
Tool Wear ◽  
End Milling ◽  
Optimal Solution ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Milling Cutter ◽  
Ball End Milling ◽  
Orthogonal Experiments ◽  
Texture Parameters ◽  
Optimal Solution Set

Aimed at solving the problems of tool wear and poor surface quality in milling a Ti alloy with a ball-end milling cutter, a method of applying a microtexture to a tool rake face to reduce tool wear is proposed in this article. By comparing the wear morphology of microtextured tools with that of nontextured tools after milling with the same stroke, the antifriction and antiwear mechanism of the micropit texture and the failure mode of the ball-end milling cutter are analyzed. The results of a simulation and orthogonal experiments reveal that with the increase of the micropit parameters, the wear value of the rake and rear faces first decreases and then increases. The effects of the micropit parameters on the wear value of the ball-end milling cutter decrease in the following order: distance from edge > diameter > spacing > depth. Finally, by using a multi-objective optimization method, the optimal solution set of the texture parameters of micropits is obtained by evaluating the wear values of the rake and rear faces of the ball-end milling cutters: 46 μm < diameter < 50 μm, 23 μm < depth < 26 μm, 109 μm < spacing < 112 μm, and 85 μm < distance from edge < 89 μm.

A Tradeoff-Based Interactive Multi-Objective Optimization Method Driven by Evolutionary Algorithms

2017 ◽  
Vol 21 (2) ◽  
pp. 284-292 ◽  
Author(s):  
Lu Chen ◽  
◽  
Bin Xin ◽  
Jie Chen ◽  
◽  
...  
Keyword(s):  
Evolutionary Algorithms ◽  
Optimal Solution ◽  
Optimization Method ◽  
Normal Vector ◽  
Pareto Optimal ◽  
Management Problem ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Tangent Hyperplane ◽  
Conflicting Objectives

Multi-objective optimization problems involve two or more conflicting objectives, and they have a set of Pareto optimal solutions instead of a single optimal solution. In order to support the decision maker (DM) to find his/her most preferred solution, we propose an interactive multi-objective optimization method based on the DM’s preferences in the form of indifference tradeoffs. The method combines evolutionary algorithms with the gradient-based interactive step tradeoff (GRIST) method. An evolutionary algorithm is used to generate an approximate Pareto optimal solution at each iteration. The DM is asked to provide indifference tradeoffs whose projection onto the tangent hyperplane of the Pareto front provides a tradeoff direction. An approach for approximating the normal vector of the tangent hyperplane is proposed which is used to calculate the projection. A water quality management problem is used to demonstrate the interaction process of the interactive method. In addition, three benchmark problems are used to test the accuracy of the normal vector approximation approach and compare the proposed method with GRIST.

Structural Parameters Optimization of Excavator Working Device Based on Mining Process

2011 ◽  
Vol 421 ◽  
pp. 759-763 ◽  
Author(s):  
Tian Zhong Sui ◽  
Lei Wang ◽  
Zhen Tan ◽  
Pei Chao Jia
Keyword(s):  
System Theory ◽  
Structural Parameters ◽  
Optimization Method ◽  
Original Model ◽  
Parameters Optimization ◽  
Structure Parameter ◽  
Multi Objective Optimization ◽  
Complex Optimization ◽  
The Mind ◽  
Working Device

With a view to the whole digging process, a multi-objective optimization model based on digging process is established. Applying the mind of system theory and complex optimization method, taking model P&H2800XP excavator for example, the structure parameter optimization of its working device is accomplished. The rational parameters obtained from this. Comparing with an original model, optimized results are ideal comparatively and the performance is improved.

A Multi-Objective Optimization Method for Coordinated Control

2011 ◽  
Vol 97-98 ◽  
pp. 942-946
Author(s):  
Yun Feng Gao ◽  
Hua Hu ◽  
Tao Wang ◽  
Xiao Guang Yang
Keyword(s):  
Genetic Algorithm ◽  
Optimal Solution ◽  
Optimization Method ◽  
Transmission Model ◽  
Traffic Signal Control ◽  
Cell Transmission Model ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Weighted Combination ◽  
Single Objective

In this paper, to overcome the limitations of the weighted combination and single objective optimization methods, we presented a multi-objective optimization and simulation methodology for network-wide traffic signal control. A multi-objective genetic algorithm based on Non-dominated Sorting Genetic Algorithm II was given to solve the model directly to obtain Pareto optimal solution set. The objectives were evaluated by Enhanced Cell Transmission Model used to describe traffic dynamics on signalized urban road network. The results showed that the single objective optimization method made some of the objectives worsen when the objective to be optimized reaching optimal, and that the weighted combination optimization method gained a compromised solution, but the multi-objective optimization method gave consideration to more objectives, making the number of optimal or suboptimal ones is more than that of worse ones.

Multi-Objective Optimization Algorithm for Instrument Integrated Development

2010 ◽  
Vol 44-47 ◽  
pp. 3487-3491
Author(s):  
Guo Xin Wu ◽  
Xiao Li Xu
Keyword(s):  
Optimal Design ◽  
Optimization Algorithm ◽  
Collaborative Design ◽  
Optimal Solution ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Integrated Development ◽  
Multi Objective ◽  
Individual Fitness ◽  
The Individual

The integrated technology is the main way for the instrument development. The combination of networked collaborative design and multi-objective optimization method, considering the different product design and development of individual fitness degree, to provide the best integrated development for the product solution. The system of Flexible integrated knowledge management was built for networked collaborative design. The system architecture is flexible hub, to support the collaborative development of decision-making and optimal design of innovative integrated development. Innovative multi-objective optimization algorithm also was established based on networked collaborative design. It is realized to obtain fast convergence of the optimal solution set for Knowledge groups. The individual goals, to achieve the optimal design of integrated development, were achieved.

Parameter optimization of a hydraulic engine mount based on a genetic neural network

2009 ◽  
Vol 223 (9) ◽  
pp. 1109-1117 ◽  
Author(s):  
Q Li ◽  
J-C Zhao ◽  
B Zhao ◽  
X-S Zhu
Keyword(s):  
Neural Network ◽  
Parameter Optimization ◽  
Dynamic Characteristics ◽  
Structural Parameters ◽  
Optimal Solution ◽  
Optimization Method ◽  
Test System ◽  
Genetic Neural Network ◽  
Engine Mount ◽  
Optimization Methodology

Hydraulic engine mounts (HEMs) are important vehicle components to isolate the vehicle structure from engine vibration. A parameter optimization methodology for an HEM based on a genetic neural network (NN) model is proposed in this study. Samples of HEMs with different structures and rubber materials are manufactured and their dynamic characteristics are tested on an MTS 831 elastomer test system. Then the test results are used as samples to train the NN model which defines the non-linear global mapping relationship between the HEM's structural parameters and its dynamic characteristics. The fitness values of the population in the genetic algorithm are calculated by the trained NN model, and the optimal solution was acquired with the mutation of population. Finally, experiments are made to validate the reliability of the optimal solution. The proposed optimization method can specify the structures and materials of HEMs to meet the design requirements automatically.

scholarly journals DESIGN AND EXPERIMENT OF ADJUSTABLE SOCKET-WHEEL PRECISION FERTILIZER APPARATUS FOR DRY DIRECT-SEEDING RICE

2021 ◽  
pp. 121-130
Author(s):  
Liu Jun ◽  
Zhu Dequan ◽  
Tai Qilei ◽  
Yu Congyang ◽  
Wang Tingjue ◽  
...  
Keyword(s):  
Coefficient Of Variation ◽  
Rotation Speed ◽  
Structural Parameters ◽  
Organic Fertilizer ◽  
Basic Structure ◽  
Optimization Method ◽  
Direct Seeding ◽  
Bench Test ◽  
Simulation Results ◽  
Precision Hole

To solve problems of non-adjustable fertilizer and low fertilization precision in the precision hole fertilization of dry direct-seeding rice, an adjustable socket-wheel precision hole fertilizer apparatus for rice was designed. The basic structure and working principle of the fertilizer apparatus were expounded, the structural parameters of key components were determined. The numerical simulation experiments based on the discrete element method were carried out by using sulfurized urea as the research object. Selecting the rotation speed of the socket-wheel, the length of the trough, the depth of the socket as the experimental factors, and taking the average amount of fertilizer discharging and the coefficient of variation of fertilization uniformity as evaluation indicators, the orthogonal rotation combined experiments with three factors and five levels were carried out. A multi-objective optimization method was used to determine the best parameter combination under the constraint of the target value of the hole fertilizer discharging of 1.500 g. The simulation results show that the coefficient of variation of fertilizer uniformity was the smallest and the coefficient of variation was 15.80% when the rotation speed of socket-wheel was 26.57 r/min, the length of the trough was 5.36 mm and the depth of socket was 5.64 mm. By using slow-release urea, sulfurized urea and bio-organic fertilizer as test materials, the bench test and field test was carried out on the fertilizer apparatus and the reliability of the simulation results and the adaptability of the fertilizer apparatus were verified.

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