Tolerance Optimization Design Based on Physical Programming Methods and PSO Algorithm

2011 ◽  
Vol 346 ◽  
pp. 584-592 ◽  
Author(s):  
H.B. Qiu ◽  
Y. Y. Dong ◽  
Y. Wang ◽  
L. Gao
Keyword(s):  
Optimization Design ◽  
Pso Algorithm ◽  
Tolerance Allocation ◽  
Dimensional Chain ◽  
Effective Solution ◽  
Key Factors ◽  
Physical Programming ◽  
Tolerance Optimization ◽  
Product Features ◽  
Mechanical Products

Product tolerance is one of the key factors which can determine the good or bad performance of mechanical products. Its size not only affects the manufacturing and assembly process, but also affects product features [1]. Thus tolerance optimization design gets more and more attention. In this paper, an improved physical programming method is used to make mathematical modeling for tolerance allocation problem of assembly dimensional chain, and PSO algorithm is also used to improve solving ability. And the effective solution for tolerance optimization is designed.

Study on Vibration Signal Marginal Spectrum of Paper-Transferring System in Printing Press Based on EMD

2010 ◽  
Vol 139-141 ◽  
pp. 2464-2468
Author(s):  
Yi Ming Wang ◽  
Shao Hua Zhang ◽  
Zhi Hong Zhang ◽  
Jing Li
Keyword(s):  
Empirical Mode Decomposition ◽  
Optimization Design ◽  
Impact Load ◽  
Vibration Signal ◽  
Key Factors ◽  
Mode Function ◽  
Mode Decomposition ◽  
Marginal Spectrum ◽  
Periodic Signals ◽  
The Moment

The precision of transferring paper is key factors to decide the print overprint accuracy, and vibration has an important impact on paper transferring accuracy. Empirical mode decomposition (EMD) can be used to extract the features of vibration test signal. According to the intrinsic mode function (IMF) by extracted, it is useful to analyze the dynamic characteristics of swing gripper arm on motion state. Due to the actual conditions of printing, the vibration signal of Paper-Transferring mechanism system is complex quasi periodic signals. Hilbert-Huang marginal spectrum that is based on empirical mode decomposition can solve the problem which is modals leakage by FFT calculated in frequency domain. Through the experimental research, the phase information of impact load at the moment of grippers opening or closing, which can be used for the optimization design of Paper-Transferring system and the improvement in the accuracy of swing gripper arm.

scholarly journals Efficient Hybrid Method of FEA-Based RSM and PSO Algorithm for Multi-Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Ngoc Le Chau ◽  
Hieu Giang Le ◽  
Thanh-Phong Dao ◽  
Minh Phung Dang ◽  
Van Anh Dang
Keyword(s):  
Hybrid Method ◽  
Optimization Design ◽  
Pso Algorithm ◽  
Algorithm Analysis ◽  
Rank Test ◽  
Multi Objective Optimization ◽  
Rotational Angle ◽  
Multi Objective ◽  
Rotary Joint ◽  
Weight Factors

This paper proposes an efficient hybrid methodology for multi-objective optimization design of a compliant rotary joint (CRJ). A combination of the Taguchi method (TM), finite element analysis (FEA), the response surface method (RSM), and particle swarm optimization (PSO) algorithm is developed to solving the optimization problem. Firstly, the TM is applied to determine the number of numerical experiments. And then, 3D models of the CRJ is built for FEA simulation, and mathematical models are formed using the RSM. Subsequently, the suitability of the regression equation is assessed. At the same time, the calculation of weight factors is identified based on the series of statistical equations. Based on the well-established equations, a minimum mass and a maximum rotational angle are simultaneously optimized through the PSO algorithm. Analysis of variance is used to analyze the contribution of design variables. The behavior of the proposed method is compared to the adaptive elitist differential evolution and cuckoo search algorithm through the Wilcoxon signed rank test and Friedman test. The results determined the weight factors of the mass and rotational angle are about 0.4983 and 0.5017, respectively. The results found that the optimum the mass and rotational angle are 0.0368 grams and 59.1928 degrees, respectively. It revealed that the maximum stress of 335 MPa can guarantee a long working time. The results showed that the proposed hybrid method outperforms compared to other evolutionary algorithms. The predicted results are close to the validation results. The proposed method is useful for related engineering fields.

Optimization design of aeronautical hydraulic pipeline system based on non-probabilistic sensitivity analysis

2019 ◽  
Vol 233 (5) ◽  
pp. 815-825 ◽  
Author(s):  
Zheng Zhang ◽  
Changcong Zhou ◽  
Wenxuan Wang ◽  
Zhufeng Yue
Keyword(s):  
Sensitivity Analysis ◽  
Probabilistic Sensitivity Analysis ◽  
Optimization Design ◽  
Maximum Stress ◽  
Pipeline System ◽  
Effective Solution ◽  
Maximum Displacement ◽  
First Order ◽  
Before And After ◽  
Dynamic Performances

This article investigates the design of constraint hoops in the aeronautical hydraulic pipeline system. Non-probabilistic sensitivity analysis is used to screen out the hoops which are insensitive to the maximum stress response, the maximum displacement response as well as the first-order natural frequency. The analysis result can give guidance to reduce the size and weight of the pipeline system. Based on the pretreatment analysis, the position coordinates of the remaining constraint hoops are further optimized. Comparison before and after optimization reveals that the dynamic performances of the pipeline system are significantly improved. This study indicates that the proposed method can provide an effective solution for the design of aeronautical hydraulic pipeline systems.

Integrated Product and Tool Development

2015 ◽  
Vol 794 ◽  
pp. 524-531
Author(s):  
Jan Kantelberg ◽  
Abassin Aryobsei ◽  
Stefan Rudolf ◽  
Günther Schuh
Keyword(s):  
Critical Path ◽  
Success Factor ◽  
Tool Development ◽  
Key Factors ◽  
Design Decisions ◽  
Time To Market ◽  
Serial Production ◽  
Product Features ◽  
Process Chains ◽  
Strategic Success

Rising cost pressure and the trend of extensive product customization lead to a situation in which the management of interfaces between different areas of process chains is a substantial strategic success factor. Since tooling is commonly placed as an element on the critical path between product development and serial production, the design and management of this interface has a significant impact on the key factors time-to-market, quality and costs. Based on the presented motivation, this paper provides a methodology to estimate the effects of product design decisions on the necessary tools regarding time, quality and costs. It is based on a systematic approach for the interaction of product and tool parameters and focuses on the effect and handling of external restrictions on product features.

Optimization Design of Gravity Dam Section Based on PSO Algorithm

2012 ◽  
Vol 424-425 ◽  
pp. 535-539
Author(s):  
Liang Ming Hu ◽  
Yi Zhi Li
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Design ◽  
Particle Swarm ◽  
Solution Space ◽  
Pso Algorithm ◽  
Gravity Dam ◽  
Actual Situation ◽  
Swarm Optimization

Particle Swarm Optimization (PSO) algorithm is a technique for optimization based on iteration, which initializes system to product a series of random solutions, in this solution space, particles commit themselves to search for a better solution and in the final the optimal one is found. Applying this algorithm to the design of gravity dam section then we find: PSO, as shown by the example given in this paper, is an available algorithm which is not only tally with the actual situation, but safe and economical. So, PSO provides a new idea and method for optimization design of gravity dam section.

Research on assembly tolerance allocation and quality control based on fuzzy reliability

2016 ◽  
Vol 230 (20) ◽  
pp. 3755-3766 ◽  
Author(s):  
Min-Long Wang ◽  
Xin-Tian Liu ◽  
Yan-Song Wang ◽  
Xiao-Lan Wang ◽  
Hui Guo ◽  
...  
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Optimization Design ◽  
Tolerance Allocation ◽  
Quality Loss ◽  
Fuzzy Reliability ◽  
Assembly Tolerance ◽  
Processing Cost ◽  
The Cost ◽  
The Relationship

The enhancement between cost and reliability is the developmental direction of modern manufacturing enterprises. On the basis of fuzzy theory, the relationship among the cost of product quality loss, the reliability of the assembly dimension chain and assembly tolerance is studied together in this article. Processing cost can be considerably reduced and the target of quality engineering is realized by optimization design. As an example, a tolerance design model is determined for gear and shaft assembly. Moreover, the mathematical model of the relationship between the cost of fuzzy quality loss and the fuzzy reliability of the assembly dimension chain is determined in combination with a processing cost function. The optimistic results of key dimensions of gear and shaft assembly are identified through through orthogonal experiments. This method can facilitate product quality control by enterprises and the realization of economic targets. The study findings can also serve as references for other similar studies.

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