Journal of Software - Academy Publisher

More documents

Recommendations

Info

914 JOURNAL OF SOFTWARE, VOL. 6, NO. 5, MAY 2011 [7] Liu Yuan, Dai Yue, Jian-Hua Cao. based on wavelet neural network traffic prediction of chaotic time series [J]. Computer Engineering, 2008, 34 (16): 105 - 107. (in Chinese). [8] SOUTHEAST UNIVERSITY Hou Jun, Jiang Shuyan and so on. based on wavelet analysis and hierarchical decisionmaking method for analog circuit fault diagnosis [J]. Computer Applications, 2010,27 (6) :2057-2060. (in Chinese). [9] Li Li, Li Hongqi, Xieshao Long and so on. clonal selection based on immune particle optimization algorithm [J]. Computer Science, 2008, 35 (10): 253 - 278. (in Chinese) [10] Chenzhen Wei, Zheng Guo crisis. Wavelet neural network predictive model Simulation [J]. Computer Simulation, 2008, 25 (6): 147-150(in Chinese). [11] Zhourong Yi, Li Shuqing, cows will never , Wavelet Neural Network on Safety Management Evaluation[J], Coal Science and Technology,2006(5):67-70(in Chinese). [12] Lidi Wei, Shao-hua, SHEN Yuan-tong. PSO based wavelet neural network [J]. Engineering Geophysics, 2007, 4 (6): 529-532(in Chinese). [13] F Calise, et al. Simulation and exergy analysis of a hybrid SolidOxide Fuel Cell (SOFC)- Gas Turbine System [ J ]. Energy,2006, 31 (15) : 3278 - 3299. [14] V M Janardhanan, V Heuveline, O Deutschmann. Performance analysis of a SOFC under direct internal reforming conditions[J].Journal of Power Sources,2007,172(1):296-307. [15] Ko Mei Jing, Hu Liming. wavelet neural network based on genetic pressure sensor nonlinear correction [J]. Actuators, 2007,20 (4) :816-819(in Chinese). [16] Cao there. an immune particle swarm optimization algorithm and the wavelet neural network learning application [J]. Computer Applications and Software, 2009,26 (6) :189-191(in Chinese). [17] Zhao Guorong, Wang Xibin, Gao Qing Wei , PSO neural network transfer of INS Alignment[J], System Simulation,2010,22(3):670-673 (in Chinese). © 2011 ACADEMY PUBLISHER Author: Shengzhong Huang, 1957, male, Guangxi Hezhou, associate professor. Research Interests: Computer Intelligence algorithms and digital image processing. In ten years teaching computer applications, published more than 20. Funding Project: New Project For Guangxi Higher Education Reform (2010JGB135).
JOURNAL OF SOFTWARE, VOL. 6, NO. 5, MAY 2011 915 Development of Optimization Design Software for Bevel Gear Based on Integer Serial Number Encoding Genetic Algorithm Xiaoqin Zhang Mechanical and Electrical Engineering College Hebei Normal University of Science & Technology, Qinhuangdao, China Email: zxqwlc@163.com Yu Rong, Jingjing Yu, Liling Zhang and Lina Cui Mechanical and Electrical Engineering College Hebei Normal University of Science & Technology, Qinhuangdao, China Email: lixiangcg@126.com Abstract—Bevel gear drive is widely used, quality of which not only affects its own transmission performance, size and weight, but also has some impact on the machine's performance. This paper introduces optimization design software for bevel gear, in which automatic optimization design is realized. In the paper mathematical model, programming of design data and realization of optimization design based on genetic algorithm are described in detail. The paper proposed integer serial number encoding genetic algorithm, which effectively deals with continuous and discrete variable optimization problem and reduces the code length of the string to improve the encoding and decoding efficiency, no invalid solution or duplicate solutions. Index Terms—bevel gear, optimization design, genetic algorithm, integer serial number encoding, augmented penalty function I. INTRODUCTION Bevel gear drive, characterized by changing direction, high coincidence and smooth transmission, etc., is widely used in the aerospace, automotive and large mechanical transmission system. So its design quality not only affect its own transmission performance, size and weight but also have some impact on the machine's performance. In practical engineering design, involving many parameters, consuming much calculation time, prone to error, and repeated calculation, query and drawing are needed for series of product design, resulting in substantial duplication of effort, so the development of bevel gear design software finding the optimal design is of great significance [1] [2] [3]. Optimization design of bear gear includes the continuous variables and discrete variables. The traditional method is to round the optimal design to the adjacent discrete points. Thus, design point might run out Manuscript received January 1, 2010; revised December 10, 2010; accepted January 8, 2011 Corresponding author: Zhang Xiaoqin © 2011 ACADEMY PUBLISHER doi:10.4304/jsw.6.5.915-922 of the feasible region, besides traditional optimization method mostly bases on gradient algorithm, which is likely trapped into local minimum search. Many studies indicate that the genetic algorithm has strong ability of general optimization, which is very effective in treating optimization problem containing continuous and discrete variables[4][5]. This paper proposes the optimization design software for straight tooth bevel gear based on genetic algorithm encoding with integer serial number, no invalid solution or duplicate solutions, the code length of the string reduced, the encoding and decoding efficiency improved. II. SOFTWARE FUNCTION The software can accomplish strength-calculation and optimal design of straight tooth bevel gear based on GB/T Calculation Methods of Load Capacity for Bevel Gear. Moreover friendly user interface is developed using VB language shown in Fig. 1. Input the known data, click on the button "optimization calculation", the user can get the optimization results of straight tooth bevel gear. Click on the button "gear materials and fatigue limit query", the user can get the corresponding fatigue limit of gear materials, shown in Fig. 2. Click on the button “coefficient calculation”, various coefficients can be calculated, shown in Fig. 3. For example, select Yfsa and click on the button “calculate coefficient”, then the interface for calculating Yfsa appear as shown in Fig. 4. Input the known data and click on the calculating button, the results of recombination tooth coefficient for pinion and gear are gained. III. CRITICAL TECHNOLOGY A. Establishing Mathematical Model Establishing mathematical model is prime step for gear design, in which the design variables, objective function
Page 1 and 2:
Journal of Software ISSN 1796-217X
Page 3 and 4:
JOURNAL OF SOFTWARE, VOL. 6, NO. 5,
Page 5 and 6:
Page 7 and 8:
Page 9 and 10:
Page 11 and 12:
Page 13 and 14:
Page 15 and 16:
Page 17 and 18:
Page 19 and 20:
Page 21 and 22:
Page 23 and 24:
Page 25 and 26:
Page 27 and 28:
Page 29 and 30:
Page 31 and 32:
Page 33 and 34:
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
Page 45 and 46:
Page 47 and 48:
Page 49 and 50:
Page 51 and 52:
Page 53 and 54:
Page 55 and 56:
Page 57 and 58:
Page 59 and 60:
Page 61 and 62:
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
Page 71 and 72:
Page 73 and 74:
Page 82 and 83:
826 JOURNAL OF SOFTWARE, VOL. 6, NO
Page 84 and 85:
Page 86 and 87:
Page 88 and 89:
Page 90 and 91:
Page 92 and 93:
Page 94 and 95:
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
Page 109 and 110:
Page 111 and 112:
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
Page 119 and 120: JOURNAL OF SOFTWARE, VOL. 6, NO. 5,
Page 169: JOURNAL OF SOFTWARE, VOL. 6, NO. 5,
Page 207 and 208: Aims and Scope. Call for Papers and
show all

Journal of Software - Academy Publisher

Create successful ePaper yourself

Delete template?

Save as template?