کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
803913 904796 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel surface analytical model for cutting linearization error in fast tool/slow slide servo diamond turning
ترجمه فارسی عنوان
یک مدل تحلیلی سطح جدید برای برش خطی سازی در چرخش الماس سروو سریع / لغزنده خودکار
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


• An analytical model evaluates the cutting linearization error of the FTS/SSS diamond turning.
• Achieve good accurate machined surfaces with optimum number of controlled points.
• Provide an important knowledge of the cutting linearization error for the surface generation.
• Enlighten the optimization of surface quality in the FTS/SSS machining process.

Fast tool/slow slide servo (FTS/SSS) technology plays an important role in machining freeform surfaces for the modern optics industry. The surface accuracy is a sticking factor that demands the need for a long-standing solution to fabricate ultraprecise freeform surfaces accurately and efficiently. However, the analysis of cutting linearization errors in the cutting direction of surface generation has received little attention. Hence, a novel surface analytical model is developed to evaluate the cutting linearization error of all cutting strategies for surface generation. It also optimizes the number of cutting points to meet accuracy requirements. To validate the theoretical cutting linearization errors, a series of machining experiments on sinusoidal wave grid and micro-lens array surfaces has been conducted. The experimental results demonstrate that these surfaces have successfully achieved the surface accuracy requirement of 1 μm with the implementation of the proposed model. These further credit the capability of the surface analytical model as an effective and accurate tool in improving profile accuracies and meeting accuracy requirements.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Precision Engineering - Volume 38, Issue 4, October 2014, Pages 849–860
نویسندگان
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