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相关实验视频

Updated: Sep 13, 2025

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Published on: May 2, 2016

使用多个输出优化和微结构验证的Cu-W电极对基于Fe的形状记忆合金进行基于EDM的分析.

Ranjit Singh¹, Sambit Satpathy², Dhirendra Kumar Shukla³

¹Department of Industrial and Production Engineering, NIT Jalandhar, Jalandhar, 144027, Panjab, India.

Scientific reports

|August 2, 2025

概括

电放电加工 (EDM) 优化了形状记忆合金 (SMA) 的加工. 本研究确定了提高基于Fe的SMA的加工效率和表面质量的关键参数.

关键词:

这就是为什么CCD是CCD,CCD是CCD.可取性是一种可取性.这是EDM,EDM是EDM.在 RSM RSM 中.这就是SEM SEM.在此期间,SMA SMA SMA 瓦特瓦特是一个木材.啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

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Co-localizing Kelvin Probe Force Microscopy with Other Microscopies and Spectroscopies: Selected Applications in Corrosion Characterization of Alloys

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相关实验视频

Last Updated: Sep 13, 2025

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation

Published on: May 2, 2016

Processing of Bulk Nanocrystalline Metals at the US Army Research Laboratory

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Published on: March 7, 2018

Co-localizing Kelvin Probe Force Microscopy with Other Microscopies and Spectroscopies: Selected Applications in Corrosion Characterization of Alloys

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Published on: June 27, 2022

科学领域:

材料科学材料科学材料科学
制造业工程制造工程

背景情况:

形状记忆合金 (SMA) 为航空航天,生物医学和军事应用提供了独特的特性.
传统的SMA加工具有挑战性,导致成本高,表面质地差.

研究的目的:

调查电放电加工 (EDM) 参数对基于Fe的SMA的影响.
优化EDM以提高SMA的可加工性和表面完整性.

主要方法:

使用了响应表面方法 (RSM) 与中央复合设计 (CCD).
关键参数:脉冲启动时间 (T_on),脉冲关机时间 (T_off),峰值电流 (Ip) 和间隙电压 (GV).
基于铁的SMA使用Cu-tungsten电极加工;通过SEM分析了磨损率和表面完整性.

主要成果:

工件材料移除率 (WOW) 在11.30至65.17mm3/min之间.
工具磨损率 (WOTE) 从0.0062到0.01127g/min.不等.
SEM揭示了表面特征,如石坑,微裂和重塑层,与工艺参数相关联.

结论:

使用可取性方法的多目标优化平衡了加工效率和表面质量.
该研究提供了对基于Fe的SMA的EDM的见解,使其能够提高可加工性和更广泛的工业用途.