基于田口和对称拟d优化方法的蜗杆传动效率估计与优化

Q3 Engineering
Huu Loc Nguyen, Khoa Nam Nguyen, Minh Man Le
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引用次数: 0

摘要

在本研究中,采用田口和对称拟d优化方法,综合评价了多种因素对蜗杆传动效率的影响:润滑油运动粘度v、摩擦系数f、转速n、速比u、输出转矩T2、模量m、直径因子q,从而在研究机械传动效率时选择合适的方法,同时在蜗杆传动的设计、制造和运行中选择最优的参数域,以保证效率最大化。对主要影响因素建立了二次回归方程,结果具有较高的拟合优度和准确性。建立了实验模型来评价和比较各因素对效率的影响。总的来说,回归方程可以用来预测蜗杆传动的效率,并选择提高蜗杆传动效率的参数或帮助开发新的蜗杆传动产品。蜗杆测试系统可用于测试蜗杆传动的效率或开发新的蜗杆传动产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation and Optimization of Worm Drive Efficiency using Taguchi and Symmetric Quasi-D Optimal Methods
In this study, the Taguchi and symmetric quasi-D optimal methods were applied to comprehensively evaluate the influence of a wide range of factors affecting worm drive efficiency: oil kinematic viscosity v, friction coefficient f, rotational speed n, speed ratio u, output torque T2, module m, and diameter factor q, thereby choosing an appropriate method when studying the efficiency of mechanical drives and also choosing an optimal parameter domain to ensure maximum efficiency when designing, manufacturing, and operating the worm drive. Quadratic regression equations were obtained for the most influential factors, and the results showed a high goodness-of-fit and accuracy. Experimental models were developed to evaluate and compare the effects of the factors on efficiency. Overall, the regression equations can be used to predict the efficiency of worm drives and to select the parameters that improve the efficiency of worm drives or help develop new worm drive products. The worm testing system can be used to test the efficiency of worm drives or develop new worm drive products.
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来源期刊
Tribology in Industry
Tribology in Industry Engineering-Mechanical Engineering
CiteScore
2.80
自引率
0.00%
发文量
47
审稿时长
8 weeks
期刊介绍: he aim of Tribology in Industry journal is to publish quality experimental and theoretical research papers in fields of the science of friction, wear and lubrication and any closely related fields. The scope includes all aspects of materials science, surface science, applied physics and mechanical engineering which relate directly to the subjects of wear and friction. Topical areas include, but are not limited to: Friction, Wear, Lubricants, Surface characterization, Surface engineering, Nanotribology, Contact mechanics, Coatings, Alloys, Composites, Tribological design, Biotribology, Green Tribology.
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