Comment about lack of sufficient data on “A prediction model for finding the optimal laser parameters in additive manufacturing of NiTi shape memory alloy” by Mehrpouya et al. [The International Journal of Advanced Manufacturing Technology 105.11 (2019): 4691–4699.]

2021 ◽  
Author(s):  
Omar Ahmed Mohamed ◽  
Wei Xu
Keyword(s):  
Additive Manufacturing ◽  
Shape Memory Alloy ◽  
Prediction Model ◽  
Shape Memory ◽  
Manufacturing Technology ◽  
Advanced Manufacturing Technology ◽  
Niti Shape Memory Alloy ◽  
Advanced Manufacturing ◽  
Sufficient Data ◽  
Laser Parameters

A prediction model for finding the optimal laser parameters in additive manufacturing of NiTi shape memory alloy

2019 ◽  
Vol 105 (11) ◽  
pp. 4691-4699 ◽  
Author(s):  
Mehrshad Mehrpouya ◽  
Annamaria Gisario ◽  
Atabak Rahimzadeh ◽  
Mohammadreza Nematollahi ◽  
Keyvan Safaei Baghbaderani ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Shape Memory Alloy ◽  
Prediction Model ◽  
Shape Memory ◽  
Niti Shape Memory Alloy ◽  
Laser Parameters

Forecasting the Success of Implementing Advanced Manufacturing Technology

2013 ◽  
Vol 774-776 ◽  
pp. 1393-1396 ◽  
Author(s):  
Cheng Shih Su ◽  
Ching Tien Shih ◽  
Shu Chen Hsu
Keyword(s):  
Prediction Model ◽  
Manufacturing Technology ◽  
Advanced Manufacturing Technology ◽  
Advanced Manufacturing ◽  
Factors Affecting ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Remedial Actions ◽  
Environment Performance ◽  
Fuzzy Preference

This paper is presented fuzzy preference relations approach to forecast the success of implementing advanced manufacturing technology (AMT). In the manufacturing environment, performance measurement is based on different quantitative and qualitative factors. This study proposes an analytic hierarchical prediction model based on fuzzy preference relations to help the organizations become aware of the essential factors affecting the AMT implementation, forecasting the chance of successful implementing AMT, as well as identifying the actions necessary before implementing AMT. Then predicted success/failure values are obtained to enable organizations to decide whether to initiate AMT, inhibit adoption or take remedial actions to increase the possibility of successful AMT initiatives.

scholarly journals Additive Manufacturing of NiTi Shape Memory Alloy for Biomedical Applications: Review of the LPBF Process Ecosystem

JOM ◽  
2021 ◽  
Author(s):  
Keyvan Safaei ◽  
Hossein Abedi ◽  
Mohammadreza Nematollahi ◽  
Fatemeh Kordizadeh ◽  
Hediyeh Dabbaghi ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Biomedical Applications ◽  
Niti Shape Memory Alloy

A review of NiTi shape memory alloy as a smart material produced by additive manufacturing

2020 ◽  
Vol 30 ◽  
pp. 761-767 ◽  
Author(s):  
Eduard Farber ◽  
Jia-Ning Zhu ◽  
Anatoliy Popovich ◽  
Vera Popovich
Keyword(s):  
Additive Manufacturing ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Smart Material ◽  
Niti Shape Memory Alloy

Application Prospect of Additive Manufacturing Technology in 3D Printing

2013 ◽  
Vol 803 ◽  
pp. 409-412
Author(s):  
Xue Liang Ma
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Technology ◽  
Advanced Manufacturing Technology ◽  
Advanced Manufacturing ◽  
Precision Control ◽  
Additive Manufacturing Technology ◽  
The Third ◽  
Development Direction ◽  
Parts Manufacturing ◽  
Efficient Manufacturing

The additive manufacturing has become an important development direction of advanced manufacturing technology, the technology will be developed in three directions: the first is the daily consumer goods manufacturing direction; the second is a functional parts manufacturing; the third is the integration of organization and structure of manufacture. The key technologies are needed to solve in the future included: precision control technology, efficient manufacturing technology, composite parts manufacturing technology.

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