...
首页> 外文期刊>Lasers in engineering >Process Performance with Regards to Surface Roughness of the CO2 Laser Cutting of AA6061-T6 Aluminium Alloy
【24h】

Process Performance with Regards to Surface Roughness of the CO2 Laser Cutting of AA6061-T6 Aluminium Alloy

机译:关于Aa6061-T6铝合金的CO2激光切割表面粗糙度的工艺性能

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Laser cutting requires dependable prediction models for estimates of the process performance on surface roughness. For that reason this paper focused on investigations into machining parameters of CO2 laser cutting of the aluminium alloy AA 6061-T6 surface roughness because AA 6061-T6 plays a vital role in aeronautical and automobile construction. Design of experiments (DOE) was brought in to design the experimental arrangement for analysis. Due to this three level of parameters considered, the Box-Behnken design was used and it is utilized to develop the experimental layout of AA 6061-T6 CO2 laser cutting. Indeed, if this needs of work are required to study the influence of cutting condition on surface roughness with DOE concepts. Generally the significant input parameters studies as like previous are laser power, cutting speed, gas pressure and focal position. The same is investigated and presented in this work. Examine that the regression model is used to build the surface roughness model for laser cutting was constructed using response surface methodology (RSM). Subsequently, the validations of experimental results were carried out in this paper. Although finally results show that the linear model has the best agreement with experimental results. The same is presented and reported in this study.
机译:激光切割需要可靠的预测模型来估计表面粗糙度的加工性能。出于这个原因,本文将重点研究铝合金AA 6061-T6表面粗糙度的CO2激光切割的加工参数,因为AA 6061-T6在航空和汽车制造中起着至关重要的作用。引入了实验设计(DOE)以设计用于分析的实验安排。由于考虑了这三个级别的参数,因此使用了Box-Behnken设计,并将其用于开发AA 6061-T6 CO2激光切割的实验布局。确实,如果需要这项工作来研究采用DOE概念的切削条件对表面粗糙度的影响。通常,像以前一样重要的输入参数研究是激光功率,切割速度,气压和焦点位置。在这项工作中对此进行了调查和介绍。检查是否使用响应表面方法(RSM)构建了回归模型以构建用于激光切割的表面粗糙度模型。随后,本文对实验结果进行了验证。尽管最终结果表明线性模型与实验结果具有最佳一致性。在这项研究中也有相同的报道。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号