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Optimization of surface quality and machining time in micro-milling of glass
Aircraft Engineering and Aerospace Technology ( IF 1.5 ) Pub Date : 2021-12-03 , DOI: 10.1108/aeat-06-2021-0187
Ali Dinc 1 , Ali Mamedov 1
Affiliation  

Purpose

Glass is a brittle material produced from silica, which has fine material properties, Owing to its sophisticated material properties, glass has found wide application in various high-technological fields such as aviation, aerospace, communication, optics, biomedical and electronics. However, glass is known as difficult to machine material because of its tendency to brittle fracture during machining. This paper aims to investigate the effects of cutting parameters on surface quality and machining time during micro-milling of brittle glass components.

Design/methodology/approach

A comprehensive genetic algorithm-based optimization strategy is used for selection of process parameters such as cutting speed, feed rate and depth of cut. Effectiveness of the proposed strategy is validated by conducting micro-milling cutting experiments on soda-lime glass material.

Findings

Results showed that the generated surface quality drastically decrease with increase in the amount of removed material. Lower depth of cut and feed rate result in less amount of cracks formed on machined surface. Also, it is observed that the increase in cutting speed results in better surface quality. Having desired surface quality in shorter machining time directly reduces energy consumed during manufacturing, which is reducing environmental impact of glass parts.

Originality/value

The novelty of this research work lies in simultaneously considering the effects of cutting speed, feed rate, depth of cut on surface quality and machining time for micro-milling operation of brittle glass material. The model is able to find optimum process parameters for high surface quality and minimum machining time.



中文翻译:

玻璃微细铣削中表面质量和加工时间的优化

目的

玻璃是一种由二氧化硅制成的脆性材料,具有优良的材料性能,由于其精密的材料性能,玻璃在航空、航天、通讯、光学、生物医学和电子等各种高科技领域得到了广泛的应用。然而,玻璃被认为是难以加工的材料,因为它在加工过程中容易发生脆性断裂。本文旨在研究脆性玻璃部件微铣削过程中切削参数对表面质量和加工时间的影响。

设计/方法/方法

基于遗传算法的综合优化策略用于选择加工参数,例如切削速度、进给速度和切削深度。通过对钠钙玻璃材料进行微铣削切割实验,验证了所提出策略的有效性。

发现

结果表明,随着去除材料量的增加,产生的表面质量急剧下降。较低的切削深度和进给速率导致加工表面上形成的裂纹数量较少。此外,据观察,切削速度的增加会导致更好的表面质量。在更短的加工时间内获得所需的表面质量直接降低了制造过程中的能源消耗,从而减少了玻璃零件对环境的影响。

原创性/价值

本研究工作的新颖之处在于同时考虑了切削速度、进给量、切削深度对脆性玻璃材料微铣削操作的表面质量和加工时间的影响。该模型能够为高表面质量和最短加工时间找到最佳工艺参数。

更新日期:2021-12-03
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