Effects of Process Parameters on the Characteristics of the Billet Sump and Related Defect Formation during DC Casting of Aluminum Alloys

2006 ◽  
pp. 271-276 ◽  
Author(s):  
D. G. Eskin ◽  
L. Katgerman
Keyword(s):  
Aluminum Alloys ◽  
Process Parameters ◽  
Defect Formation ◽  
Related Defect ◽  
Dc Casting

scholarly journals Prediction method of crack sensitivity during DC casting of Al–Mn and Al–Mg series aluminum alloys

2009 ◽  
Vol 59 (8) ◽  
pp. 417-423 ◽  
Author(s):  
Makoto Morishita ◽  
Mitsuhiro Abe ◽  
Kenji Tokuda ◽  
Makoto Yoshida
Keyword(s):  
Aluminum Alloys ◽  
Prediction Method ◽  
Dc Casting

Prediction of Surface Profile in Friction Stir Welding Using Coupled Eulerian and Lagrangian Method

2020 ◽  
Author(s):  
Debtanay Das ◽  
Swarup Bag ◽  
Sukhomay Pal ◽  
M. Ruhul Amin
Keyword(s):  
Friction Stir Welding ◽  
Surface Morphology ◽  
Process Parameters ◽  
Chip Formation ◽  
Material Flow ◽  
Defect Formation ◽  
Current Model ◽  
Surface Profile ◽  
Green Technology ◽  
Friction Stir

Abstract Friction stir welding (FSW) is widely accepted by industry because of multiple advantages such as low-temperature process, green technology, and capable of producing good quality weld joints. Extensive research has been conducted to understand the physical process and material flow during FSW. The published works mainly discussed the effects of various process parameters on temperature distribution and microstructure formation. There are few works on the prediction of defect formation from a physics-based model. However, these models ignore chip formation or surface morphology and material loss during the FSW process. In the present work, a fully coupled 3D thermo-mechanical model is developed to predict the chip formation and surface morphology during welding. The effects of various process parameters on surface morphology are also studied using the current model. Coupled Eulerian-Lagrangian (CEL) technique is used to model the FSW process using a commercial software ABAQUS. The model is validated by comparing the results in published literature. The current model is capable of predicting the material flow out of the workpiece and thus enables the visualization of the chip formation. The developed model can extensively be used to predict the surface quality of the friction stir welded joints.

scholarly journals Effect of Process Parameters on Friction Stir Welds on AA2219-AA2195 Dissimilar Aluminum Alloys

2017 ◽  
Vol 27 (6) ◽  
pp. 331-338 ◽  
Author(s):  
Kookil No ◽  
◽  
Joon-Tae Yoo ◽  
Jong-Hoon Yoon ◽  
Ho-Sung Lee
Keyword(s):  
Aluminum Alloys ◽  
Process Parameters ◽  
Friction Stir ◽  
Dissimilar Aluminum Alloys

Understanding T-Ingot Horizontal DC Casting Using Process Modelling

2006 ◽  
Vol 519-521 ◽  
pp. 1461-1466 ◽  
Author(s):  
André Larouche ◽  
Malcom Lane ◽  
Massimo DiCiano ◽  
Daan M. Maijer ◽  
Steve CockCroft ◽  
...  
Keyword(s):  
Process Model ◽  
Defect Formation ◽  
Metal Flow ◽  
Casting Process ◽  
Production Costs ◽  
Process Characteristics ◽  
Powerful Approach ◽  
Foundry Alloys ◽  
Dc Casting

Horizontal continuous casting process has been successfully implemented in Alcan for the production of T-ingots of primary aluminium and foundry alloys. Ability to achieve increased productivity targets and reduce production costs relies on a fundamental understanding of key process characteristics and operating parameters. Thanks to the long-standing experience in vertical DC Casting, numerical modelling appeared as a powerful approach to understand phenomena related to metal flow, solidification and ultimately defect formation. As part of a collaborative R&D program, a global model of horizontal casting process, integrating specialized sub-models on critical aspects of the process such as meniscus dynamics, is being developed. Experimental characterization of primary and secondary cooling is performed in parallel with modelling work to provide the information necessary to properly characterize mould heat transfer. This paper will present the development of a 3D process model of T-ingot casting along with its application to solve specific process challenges that have emerged during the first years of production in the plant.

Main Defects Observed in Titanium GRADE II and 316L Stainless Steel Elements Obtained by Selective Laser Melting

2020 ◽  
Vol 308 ◽  
pp. 33-50
Author(s):  
Anna Woźniak ◽  
Marcin Adamiak
Keyword(s):  
Stainless Steel ◽  
Energy Density ◽  
Selective Laser Melting ◽  
Process Parameters ◽  
Defect Formation ◽  
Pure Titanium ◽  
Parameters Optimization ◽  
Laser Melting ◽  
Grade Ii ◽  
Titanium Grade

Selective Laser Melting SLM is one of the most popular three dimensional printing methods, which can be used for manufactured real elements (with high geometrical complexity) in many application, such as medicine, automotive or aerospace industries. The SLM final parts are characterized by high mechanical properties and satisfactory physicochemical properties. However, the properties of parts depend of process parameters optimization. In this paper, effects of processing parameters, such as laser power P, scanning speed SP, layer thickness t or point distance PD on defect formation and relative densities of manufactured elements are explored. For the purpose the stainless steel 316L and pure titanium Grade II are used. The process optimization were carried out according to the formula of energy density, which is delivered to the powder material. The stainless steel samples were divided into 12 groups, depends of the energy density. The titanium parts were printed at the same value of energy, and the process parameters are changed. The microscope observation and relative density measurements were carried out. Based on the obtained results, it can be confuted that the SLM parameters have a significant effect on the samples properties and the mechanism formed defect in both material are similar.

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