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RISS 인기검색어
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- 저자 : Feng Yixiong (검색결과 4 건)
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Exploratory study of mechanical kinematic innovation design based on gene recombination operation
Yixiong Feng,Yicong Gao,Jianrong Tan,Ichiro Hagiwara 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.3
This paper analyzes the influencing factor of motion output of the inspired mechanism under the premise that the motion input is invariant. These factors are respectively expressed as kinematic pair chromosome number, kinematic pair feature gene and distance relationship vector gene by virtue of several concepts and principles in genetics, and then they are encoded. Mechanism chromosome model is established, which is constituted by mechanism chromosome relationship graph and mechanism chromosome matrix. Three kinematic pair chromosome gene recombination operations on mechanism chromosome model (dominance, translocation and metastasis), are proposed by using meiosis and chromosome variance in genetics for reference. Finally the paper takes shaper as the original mechanism and acquires its inspired mechanism, which proves the convenience and practicality of the methods.
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A TEL decision method of process parameters for smart energy efficient manufacturing
Wei Zhe,Feng Yixiong,Hong Zhaoxi,Tan Jianrong 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.8
By constructing a Smart energy efficient manufacturing (SEEM) process grey model, craft parameter optimization is transformed into the process of multi-attribute decision making. Using fuzzy set theory to deal with uncertainty and inaccuracy fuzzy knowledge of SEEM assessment experts, a directly effect incidence matrix and a comprehensive effect matrix of SEEM process are put forward to be indexed by Trial and evaluation laboratory (TEL). The central degree and causal degree of each evaluation index are obtained, and then the relevance is analyzed between SEEM process evaluation indicators and weighted according to impact degrees. At the premise of maximizing of population benefits and minimizing of individual regret, the SEEM process parameters are determined by TEL-VIKOR theory. To obtain SEEM process parameters or compromise process parameters, a decision maker's subjective preference, and establishing control priorities of best SEEM process parameters are set. Finally, SEEM process parameters making decision example from discharge manufacturing process are applied to verify the proposed method.
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Thermo-Mechanical Coupling Analysis of the Actuating Mechanism in a High Speed Press
Jin Cheng,Zhendong Zhou,Yixiong Feng,Zhenyu Liu,Yangyan Zhang 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.5
In order to ensure the manufacturing precision of an ultra-precision high speed press, an integrated thermo-mechanical coupling model of its actuating mechanism is proposed, which includes the mechanical models of the slider and crankshaft, the thermal models for calculating the heat generation powers at different bearings as well as the heat transfer and heat dissipation in the actuating mechanism. The validity of the proposed thermo-mechanical coupling model is verified by a thermal equilibrium experiment when the press operates under the full load of 3000kN at 300 rpm. A sensitivity analysis is conducted to investigate the simulation errors resulting from the variation of the ambient temperature, the results of which demonstrate that the average ambient temperature should be applied for improving simulation accuracy. Then the thermal stiffness of the actuating mechanism and the thermo-mechanical coupling characteristics of different parts are analyzed by the proposed model with the average ambient temperature applied. The influences of the thermally induced loads on the thermal stiffness are discussed in detail. It is concluded that the temperature rise of the actuating mechanism in the stamping process of a high speed press should be fully considered in the design phase for ensuring its manufacturing precision.
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Xiaoxie Gao,Zhaoxi Hong,Yixiong Feng,Tianyue Wang,Ye Li,Jianrong Tan 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.10
Reducing the disturbance of parameter fluctuations to the system is very important to the robustness of stamping product quality. In this paper, a 6-sigma robust optimization design method based on residual error and radial basis interpolation is proposed to weaken the negative influence of parameter fluctuations. Not only the key controllable parameters but also the key noise parameters are considered by grey relational analysis (GRA) to screen the parameters that have an important influence on the stamping quality. In order to reflect the relationship between key parameters and forming quality more precisely, the polynomial response surface model is improved based on residual error and radial basis function (RBF), and solved by the multi-population co-evolutionary immune algorithm (MPCEIA). Moreover, the solution of deterministic optimization is designed with 6-sigma robust optimization to improve the robustness of the system to the parameter fluctuations. Finally, the method is applied to the design of a complex automobile cover part, proving its effectiveness and reliability.
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