کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8048472 1519250 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A hybrid modification approach of machine-tool setting considering high tooth contact performance in spiral bevel and hypoid gears
ترجمه فارسی عنوان
یک رویکرد اصلاح ترکیبی از تنظیمات ماشین ابزار با توجه به عملکرد بالای تماس دندان در چرخ دنده های مارپیچی و هیپویدی
کلمات کلیدی
اصلاح تنظیم ماشین ابزار، چرخ دنده های کروی و هیپویدی اسپیرال، آسانسور عملکرد بالا تماس دندان، اصلاح هیبرید، اصلاح نسبی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Machine-tool setting modification for spiral bevel and hypoid gears has been continually demanding more strength and less noise in terms of tooth contact performance. However, it only considers ease-off, but ignores tooth contact performance items. In the present paper, a novel hybrid systematic method is proposed to obtain high tooth contact performance by modifying machine-tool settings. In addition to the traditional item, namely residual ease-off, other three items: (i) the maximum contact pressure, (ii) the maximum loaded transmission error, and (iii) the contact ratio are applied to comprehensively evaluate the gear tooth contact performance. The universal machine-tool setting modification only considering the residual ease-off is first applied to identify initial machine-tool settings. Then, the relationships of high tooth contact performance items and machine-tool settings are established based on the loaded tooth contact analysis (LTCA). Finally, after selecting a few machine-tool settings as the optimal variables based on the sensitivity analysis method, a proportional modification is performed by designing different modification schemes about the optimal settings with different proportions and synthetically evaluating their results on multi-objective high tooth contact performance. The numerical instance and test are employed to verify the validity of the proposed hybrid modification.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Systems - Volume 41, October 2016, Pages 228-238
نویسندگان
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