.png){kind=icon}
返回
WEDM process parameters optimization by preference-based CS & PSO algorithm for LCP
.png){kind=icon}
PRE
AI
DOI：10.1080/10426914.2023.2165669.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Locking Compression Plates (LCP) are typically made of Ti6Al4V alloy. LCP is used to heal fractures of the bone. This article uses Wire Cut Electric Discharge Machining (WEDM) to machine Ti6Al4V alloy. Responses are optimized by two metaheuristic algorithms, the cuckoo search algorithm (CS) and particle swarm optimization (PSO). The cuckoo search algorithm shows that the maximum MRR is 59.4312 mg/min & the maximum cutting speed is 5.0625 mm/min. The single-objective PSO shows a maximum MRR of 59.3632 mg/min & the maximum cutting speed is 5.0155 mm/min. The GRA revealed that the optimum weight for MRR and cutting speed is 48.868% and 51.132% respectively. Scanning electron microscope analysis indicates proper biocompatibility after machining. This article compares CS and PSO with similar calculations for the t-test and found that the p-values for MRR and Cutting speed are 0.9432 and 0.9919.
Keyword:
Optimization
manufacturing
biocompatibility
Ti6Al4V alloy
machining
期刊
M
IF:
4.7
论文数:
4.6K
被引数:
9.3K
机构
引用论文
.png){kind=icon}
The Utilization of Global Digital Elevation Model for Watershed Management a Case Study: Bungbuntu Sub Watershed, Pamekasan全球数字高程模型在流域管理中的应用：以Pamekasan的Bungbuntu子流域为例
OAAI
OAAI分享收藏A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms关于使用非参数统计检验作为比较进化和群体智能算法的方法的实用教程
PREAI
分享收藏
查看更多内容