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 Posted: Tue 16:51, 21 Dec 2010 Post subject: air jordans Vane Roofbolter Fuzzy Optimum Design o |
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Vane Roofbolter Fuzzy Optimum Design of rotary cutting mechanism
5A [H:, ignorant of the eggs I ix ‰ z ¨ ¨ a 4 Yangshan Guo: Vane Roofbolter Fuzzy Optimum Design of rotary cutting mechanism 77 [port F] = 1.2 [port F] a 0.2 [port F], a URe = 5 + and :9-2, a Usa = I. 8 and = 4.4 +0.4,[link widoczny dla zalogowanych],: 3 +, and: 7 a, = 0.25 +0.05 and = 0.6-0.1, type = 11 +4 and :29-6, oM : 1.0 +0.4 lack oM = 2.8-0.6, next d = 0.5 +0.1 and d = 1.4-0.2. The above kinds are into (9) a (17), the fuzzy set of constraints can be converted to cut the level of non-fuzzy constraints. Given a value, you can get a relatively optimal solution. Smaller the economy, the greater the more safe and reliable. Take 1, fuzzy optimization is transformed into an ordinary optimization. To make the program safe, reliable and economical, must determine an optimal cut set level. But the value of the subject to various fuzzy factors,[link widoczny dla zalogowanych], taking into account the design level, the manufacturing level, material quality, use, importance, and other fuzzy factors maintenance costs, the use of two comprehensive evaluation method, obtained = 0.607. 3 example calculation 3.1 Design Example trial of Vane rotary cutting Roofbolter Fuzzy optimum design agencies. The relevant parameters are as follows: T = 140N ・ m, Ma = 0.45,) 7 by = 0.98, Ap = 0.4MPa, n a = 375r/rain. 20CrMnTi sun gear material selection and surface carburizing treatment, the [H] = 1500N/mm, [port F] = 370N/mm2. Coefficient of KA = 1.4, KBH = 1.1, KBF = 1.15. 3.2 Optimization of the known data into the optimal design of fuzzy mathematical model, and select the initial value X0 = [3,4,0.5 , 6,0.5,0.2,1.2,201 T, by writing in the MATLAB language file called OptimizationToolbox constr strong functions to be constrained optimization parameter optimization 6j. When: 1, that in case of an ordinary continuous optimization of the optimal solution (given the accuracy to take ? = 10): 『5.4179,11.9195,0.9030,4.0000,0.3 OO0, 0.0584.2 .5410,36.2608 J; as: 0.607, that the optimal level cut set of continuous optimal fuzzy optimal solution (given the accuracy to take ? = 10): 『5.4292,[link widoczny dla zalogowanych],11.0919,0.9683, 3.0370,0.2804,0.0475,2.0029,[link widoczny dla zalogowanych],33.0286 J. 3.3 Results of standardized taking into account the gear module and the actual situation, the relevant variables were rounded. Now after round after the optimization of general optimization and fuzzy compared the corresponding results are as follows (see Table 2). We can see from the table, Vane Roofbolter Fuzzy Optimum Design of rotary cutting body than ordinary optimal design of the optimal value has decreased, a decrease of l5.8%, fully embodies the advantages of the fuzzy optimal design, with a great practical value. General optimization results in Table 2 Comparison of optimal health and fuzzy Ib. 2Theeommnsonbetweentheresultsoffuzzyoptimizationandoptimumdesign4 conclusions will vane air motor and planetary gear design as a whole, the entire rotary cutting mechanism and the fuzzy optimal design. In consideration of the various fuzzy factors, so the text of the optimization model and optimization scheme is closer than the average optimal objective reality. The results show that optimization and normal optimization of fuzzy compared to a 15.8% decline in volume to ensure that the structural arrangement compact, small size, light weight goals, in the actual production is bound to have some economic benefits. References: [1] Yang Shanguo. Vane Roofbolter of D]. Jiangsu: China University of Mining, 21301. [2] Zhao Huaiwen, Chen Zhixi. Hydraulic and pneumatic [M]. Beijing: Petroleum Industry Press,[link widoczny dla zalogowanych], 198_B. [3] Qiu Xuanhuai. Mechanical design [M]. Beijing: Higher Education Press, 1992. [4] Wang Wei, Gao Shun, Li Jianhua. NGW planetary reducer for two-stage optimal design [J]. Jilin Institute of Technology. 1999,20 (3): 14 ~ 16. [5] Wang Caihua, Song grievances. Fuzzy Theory methodology [M]. Beijing: China Building Industry Press, 1988. [6] Wang Mo Ran. MAT ~ 5. x and Scientific Computing [M]. Beijing: Tsinghua University Press, 2OOO. (Edit Yang Bei)
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