利于磨削加工的316L不锈钢SLM工艺参数研究
Research on SLM Process Parameters of 316L Stainless Steel Structure for Grinding
詹友基 1陈嘉盛 1郑天清 1许永超 2章蒙蒙1
作者信息
- 1. 福建省智能加工技术及装备重点实验室(福建理工大学),福建福州 350118
- 2. 福建省智能加工技术及装备重点实验室(福建理工大学),福建福州 350118;福建理工大学材料科学与工程学院,福建福州 350118
- 折叠
摘要
为得到适合磨削的选区激光熔化(SLM)316L不锈钢工艺参数,设计三因素四水平的正交实验.在此基础上获得样件性能指标致密度、显微硬度及磨削后表面粗糙度的实验数据,使用极差分析法得到了 SLM工艺参数对性能指标的影响主次;随后基于灰色关联理论对实验数据进行多指标简化处理,获取可以评价样件综合性能的量化值——关联度,最后通过拟合回归的方法得到了工艺参数与关联度的回归方程,方程的拟合度达到91.32％,说明该方程具有较高的可靠性.通过Minitab对回归方程进行响应优化,得到适合磨削的最优工艺参数为:激光功率270 W,扫描速度707 mm/s,扫描间距0.14 mm,测得样件的致密度98.78％,显微硬度265.46 HV,表面粗糙度0.660 μm.
Abstract
In order to obtain the process parameters of selected laser melting(SLM)316L stainless steel suitable for grinding,an orthogonal experiment with three factors and four levels was designed.On this basis,the experimental data of the perform-ance index density,microhardness and surface roughness after grinding were obtained,and the main and secondary effects of SLM process parameters on the performance index were obtained by range analysis method.Based on grey correlation theory,the experimental data were simplified by multiple indexes to obtain the quantified value-correlation degree,which can evaluate the comprehensive performance of the sample.The regression equation of process parameters and correlation degree was ob-tained by fitting regression method.The fitting degree of the equation reached 91.32％,indicating that the equation has high reliability.Using Minitab to optimize the regression equation,the optimal process parameters suitable for grinding were ob-tained as follows:laser power 270 W,scanning speed 707 mm/s,scanning spacing 0.14 mm,The density was 98.78％,the microhardness was 265.46 HV,and the surface roughness was 0.66 μm.
关键词
选区激光熔化/磨削/极差分析法/灰色关联理论/工艺优化Key words
selective laser melting/grinding/range analysis/grey correlation theory/regression equations引用本文复制引用
基金项目
国家自然科学基金面上项目(52275413)
国家自然科学基金面上项目(51775113)
福建省引导性计划项目(2022H0024)
福建省财政厅2023年省直单位科技专项资金(GY-Z23274)
2021年度宁德市产学研合作项目(宁市科[2021]57)
出版年
2024
NETL
NSTL
万方数据