Intelligent Systems to Optimize and Predict Machining Performance of Inconel 825 Alloy
Intelligent models are showing an uprise in industry and academia to optimize the system’s outcome and adaptability to predict challenges. In machining, there is difficulty of unpredictability to the part performance especially in super alloys. The aim of this research is to propose an intelligent m...
Main Authors: | Abdulsalam Abdulaziz Al-Tamimi, Chintakindi Sanjay |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Metals |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4701/13/2/375 |
Similar Items
-
Optimization of process parameters for WEDM of Inconel 825 using grey relational analysis
by: Pawan Kuma, et al.
Published: (2018-09-01) -
Microstructural analysis and multi response optimization of WEDM of Inconel 825 using RSM based desirability approach
by: Kumar Pawan, et al.
Published: (2019-10-01) -
COMPARATIVE STUDY OF ANN AND ANFIS MODELS FOR PREDICTING TEMPERATURE IN MACHINING
by: SOROUSH MASOUDI, et al.
Published: (2018-01-01) -
Investigation on Machinability Characteristics of Inconel 718 Alloy in Cryogenic Machining Processes
by: Le Gong, et al.
Published: (2023-02-01) -
Anomalies in the Geometric Surface Structure of Shaped Elements Composed of Inconel 718 Alloy
by: Bartłomiej Krawczyk, et al.
Published: (2021-12-01)