柴油机轴瓦巴氏合金浇注工艺优化及试验验证  

Optimization of Casting Process for Manufacturing Babbitt Metal Bearing Bushings Used in Diesel Engines and Experiment Verification

作　　者：唐倩[1] 徐俊[1] 高瞻[1] 裴林清[1] 吴志勇 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400030 [2]重庆跃进机械有限公司,重庆永川402169

出　　处：《内燃机学报》2009年第1期87-91,共5页Transactions of Csice

基　　金：国家自然科学基金资助项目(50875268);教育部长江学者和创新团队发展计划资助项目(IRT0763);重庆市科技攻关资助项目(CSTC2007AB3024,2006AA3010)

摘　　要：针对目前采用传统巴氏合金浇注技术所浇注的大功率低速船用柴油机轴瓦性能难以达到工作性能要求,通过对巴氏合金的浇注技术进行优化研究,建立了轴瓦浇注工艺的优化模型,应用神经网络和遗传算法对优化模型进行了求解,获得了最优的浇注工艺参数,对采用新工艺浇注的轴瓦进行试验验证。结果表明,优化后的浇注工艺明显改善了轴瓦性能。High power and low speed marine diesel engines require a high standard of mechanical performance for the components of Babbitt metal bearing bushings. However, the current casting process has the difficulty in manufacturing the required bearing bushing. To solve the problem, this study proposes an optimal designing approach to improve the casting process. Firstly, the optimization problem is formulated by investigating the whole casting process. Secondly, an optimization method that integrates the neural networks and the genetic algorithms is used to solve the problem. Finally, experimental verifications for the proposed optimal casting process are performed to demonstrate the effectiveness of the proposed optimal casting process. The experimental results show that the mechanical performance of the bearing bushing is improved significantly by the proposed optimal casting process.

关 键 词：神经网络 遗传算法 柴油机轴瓦 浇注工艺优化 试验验证 

分 类 号：TK426[动力工程及工程热物理—动力机械及工程]