Achieving high precision and productivity in laser machining of Ti6Al4V alloy: A comprehensive study using a n-predictor polynomial regression model and PSO algorithm
Ti-6Al-4V, the Titanium alloy, has significant utilizations in aerospace, automotive, and marine sectors for its low density and high strength at elevated temperature. But its chemical activity and low thermal conductivity inhibits its machining by conventional method. Nd: YAG laser beam machining (...
Saved in:
Main Authors: | Avinash Chetry, Sandesh Sanjeev Phalke, Arup Nandy |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2025-01-01
|
Series: | International Journal of Lightweight Materials and Manufacture |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2588840424000829 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring a novel approach for computing topological descriptors of graphene structure using neighborhood multiple M-polynomial
by: Tumiso Kekana, et al.
Published: (2025-01-01) -
Academic Pressure and Psychological Imbalance in High School Students: Predictors of Depression via Polynomial Regression and Response Surface Analysis
by: Ye Y, et al.
Published: (2025-01-01) -
OPTIMIZATION OF MACHINING PARAMETERS BASED ON ADAPTIVE QUANTUM PARTICLE SWARM NETWORKS (MT)
by: HAN HuiHui, et al.
Published: (2023-01-01) -
On osculatory interpolation by trigonometric polynomials
by: D. J. Newman, et al.
Published: (1979-01-01) -
Assimilation of PSO and SVR into an improved ARIMA model for monthly precipitation forecasting
by: Laleh Parviz, et al.
Published: (2024-05-01)