A new ensemble approach to explore stability features in turning operation on CNC lathe

2021 ◽  
Author(s):  
Pankaj Gupta ◽  
Bhagat Singh
Keyword(s):  
Turning Operation ◽  
Ensemble Approach ◽  
Cnc Lathe

COMPARATIVE ANALYSIS OF PERFORMANCE BETWEEN CONVENTIONAL CUTTING FLUIDS AND VEGETABLE GLYCERINE BASED CUTTING FLUID IN STEEL 1020 TURNING OPERATION

2017 ◽  
Author(s):  
Gustavo Fernandes ◽  
Sanderson Clayton ◽  
Bernardo Jakitsch ◽  
Luis Henrique Andrade Maia ◽  
Mariana Gomes ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Cutting Fluid ◽  
Cutting Fluids ◽  
Turning Operation ◽  
Steel 1020 ◽  
Analysis Of Performance

Experimental and Numerical Investigation into Residual Stress During Turning Operation for Stainless Steel AISI 316

2020 ◽  
Vol 38 (12A) ◽  
pp. 1862-1870
Author(s):  
Safa M. Lafta ◽  
Maan A. Tawfiq
Keyword(s):  
Stainless Steel ◽  
Residual Stresses ◽  
Orthogonal Cutting ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Percentage Error ◽  
Depth Of Cut ◽  
Main Role ◽  
Turning Operation ◽  
Aisi 316

RS (residual stresses) represent the main role in the performance of structures and machined parts. The main objective of this paper is to investigate the effect of feed rate with constant cutting speed and depth of cut on residual stresses in orthogonal cutting, using Tungsten carbide cutting tools when machining AISI 316 in turning operation. AISI 316 stainless steel was selected in experiments since it is used in many important industries such as chemical, petrochemical industries, power generation, electrical engineering, food and beverage industry. Four feed rates were selected (0.228, 0.16, 0.08 and 0.065) mm/rev when cutting speed is constant 71 mm/min and depth of cutting 2 mm. The experimental results of residual stresses were (-15.75, 12.84, 64.9, 37.74) MPa and the numerical results of residual stresses were (-15, 12, 59, and 37) MPa. The best value of residual stresses is (-15.75 and -15) MPa when it is in a compressive way. The results showed that the percentage error between numerical by using (ABAQUS/ CAE ver. 2017) and experimental work measured by X-ray diffraction is range (2-15) %.

scholarly journals Meta Learning-Based Hybrid Ensemble Approach for Short-Term Wind Speed Forecasting

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 172859-172868
Author(s):  
Zhengwei Ma ◽  
Sensen Guo ◽  
Gang Xu ◽  
Saddam Aziz
Keyword(s):  
Wind Speed ◽  
Short Term ◽  
Wind Speed Forecasting ◽  
Ensemble Approach ◽  
Meta Learning

Novel application of graphite-talc hybrid nanoparticle enriched cutting fluid in turning operation

2021 ◽  
Vol 62 ◽  
pp. 378-387
Author(s):  
Vaibhav Singh ◽  
Anuj Kumar Sharma ◽  
Ranjeet Kumar Sahu ◽  
Jitendra Kumar Katiyar
Keyword(s):  
Cutting Fluid ◽  
Turning Operation ◽  
Hybrid Nanoparticle
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