The interaction effect of process parameters on the phase transformation behavior and tensile properties in additive manufacturing of Ni-rich NiTi alloy. (May 2022)
- Record Type:
- Journal Article
- Title:
- The interaction effect of process parameters on the phase transformation behavior and tensile properties in additive manufacturing of Ni-rich NiTi alloy. (May 2022)
- Main Title:
- The interaction effect of process parameters on the phase transformation behavior and tensile properties in additive manufacturing of Ni-rich NiTi alloy
- Authors:
- Shi, Guangfeng
Li, Lunxiang
Yu, Zhenglei
Liu, Ruiyao
Sha, Pengwei
Xu, Zezhou
Guo, Yunting
Xi, Rui
Liu, Jiabao
Xin, Renlong
Chen, Lixin
Wang, Xiebin
Zhang, Zhihui - Abstract:
- Abstract: In this work, response surface methodology (RSM), as a reliable and cheap prediction tool, was developed to establish a quadratic regression model between selective laser melting (SLM) process parameters and the martensite transformation temperatures (MTTs) of SLM-NiTi alloys during SLM process. In the case of martensite start temperature ( M s ) and austenite finish temperature ( A f ), analyzing the result of RSM illustrated that the average error percentage between the predicted and experimental results are within 7.42 ± 0.45% and 3.83 ± 0.23%, respectively. Besides, we show that the interaction of laser power ( P ) and scanning speed ( v ) have a remarkable impact not only on MTTs but also on tensile properties and tensile recovery strain of SLM-fabricated NiTi samples. With the decrease of P and the increase of v, the M s and A f decrease, respectively. The tensile experimental results showed that the group of 150 W samples equipped with high elongation, in which the highest elongation up to 12 ± 0.4%, but the high tensile recovery strain was presented in the 100 W series. This study provided a new-fangled insight for how process parameters modulate phase transformations and mechanical properties in the SLM fabricated NiTi, which can be conducted to target mechanical properties for different applications. Graphical abstract: Unlabelled Image Highlights: Response surface method (RSM) is utilized to predicted the martensitic transformation temperatures (MTTs)Abstract: In this work, response surface methodology (RSM), as a reliable and cheap prediction tool, was developed to establish a quadratic regression model between selective laser melting (SLM) process parameters and the martensite transformation temperatures (MTTs) of SLM-NiTi alloys during SLM process. In the case of martensite start temperature ( M s ) and austenite finish temperature ( A f ), analyzing the result of RSM illustrated that the average error percentage between the predicted and experimental results are within 7.42 ± 0.45% and 3.83 ± 0.23%, respectively. Besides, we show that the interaction of laser power ( P ) and scanning speed ( v ) have a remarkable impact not only on MTTs but also on tensile properties and tensile recovery strain of SLM-fabricated NiTi samples. With the decrease of P and the increase of v, the M s and A f decrease, respectively. The tensile experimental results showed that the group of 150 W samples equipped with high elongation, in which the highest elongation up to 12 ± 0.4%, but the high tensile recovery strain was presented in the 100 W series. This study provided a new-fangled insight for how process parameters modulate phase transformations and mechanical properties in the SLM fabricated NiTi, which can be conducted to target mechanical properties for different applications. Graphical abstract: Unlabelled Image Highlights: Response surface method (RSM) is utilized to predicted the martensitic transformation temperatures (MTTs) successfully. This model is proved that the MTTs of SLM-NiTi alloys are influenced by the interaction effect of process parameter ( P, v ). The interaction effect for process parameters is also linked to uitimate fracture strength and tensile recovery rate. … (more)
- Is Part Of:
- Journal of manufacturing processes. Volume 77(2022)
- Journal:
- Journal of manufacturing processes
- Issue:
- Volume 77(2022)
- Issue Display:
- Volume 77, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 77
- Issue:
- 2022
- Issue Sort Value:
- 2022-0077-2022-0000
- Page Start:
- 539
- Page End:
- 550
- Publication Date:
- 2022-05
- Subjects:
- Response surface methodology -- Selective laser melting -- Martensite transformation temperature -- NiTi -- Tensile recovery strain
Production management -- Data processing -- Periodicals
Manufacturing processes -- Periodicals
Procestechnologie
Productietechniek
Production -- Gestion -- Informatique -- Périodiques
Fabrication -- Périodiques
Manufacturing processes
Production management -- Data processing
Periodicals
670.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15266125 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jmapro.2022.03.027 ↗
- Languages:
- English
- ISSNs:
- 1526-6125
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5011.640000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21329.xml