| 遗传算法支持下的孔组复合位置度误差评判 |
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| 引用本文： | 张小萍,王君泽,周圣铧.遗传算法支持下的孔组复合位置度误差评判[J].工程图学学报,2011,32(3):23-27. |
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| 作者姓名： | 张小萍 王君泽 周圣铧 |
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| 作者单位： | 南通大学,江苏南通,226019 |
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| 基金项目： | 南通市应用研究计划资助项目(K2009022); 江苏省高校自然科学基础研究资助项目(07KJD540178) |
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| 摘 要： | 在孔组复合位置度误差评判过程中,用传统的数值优化方法一般难以找到符合最小条件判别准则的几何图框理想位置,尤其当位置度公差遵守最大实体要求且被测要素尚未达到最小实体尺寸时,被判为不合格的零件还有被修复的可能。针对上述问题,可利用自适应遗传算法全局搜索几何图框最佳位置,并在搜索过程中同时考虑遵守最大实体要求时的误差补偿因素的影响。此外,针对不合格零件进行的可修复性判别和修正量的计算,进一步降低了零件误废率。
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| 关 键 词： | 机械设计 误差评判 遗传算法 复合位置度 孔组 |
Evaluating for Composite Position Error of Hole Group Supported by Genetic Algorithm |
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| ZHANG Xiao-ping,WANG Jun-ze,ZHOU Sheng-hua.Evaluating for Composite Position Error of Hole Group Supported by Genetic Algorithm[J].Journal of Engineering Graphics,2011,32(3):23-27. |
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| Authors: | ZHANG Xiao-ping WANG Jun-ze ZHOU Sheng-hua |
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| Affiliation: | ZHANG Xiao-ping,WANG Jun-ze,ZHOU Sheng-hua(Nantong University,Nantong Jiangsu 226019,China) |
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| Abstract: | In the evaluating process of hole group composite position error,the traditional numerical optimization methods are generally difficult to find an ideal location for the geometric frame to meet the minimum condition criterion,especially when the position tolerance follows the principle of MMC and the measured features still do not reach the minimum material size,parts judged unqualified may also be repaired.Aiming at solving the above-mentioned problems,the adaptive genetic algorithm is proposed to search t... |
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| Keywords: | mechanical design error evaluation genetic algorithm composite position hole group |
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