Modeling and Algorithm of Adaptive Gas Cooling Subsystem for Direct Metallic Component Manufacturing

Hai Ping Zou

doi:10.4028/www.scientific.net/AMM.184-185.312

Paper Titles

Large Eddy Simulation of Airflow Structural Characteristics in Real Human Mouth-Throat Model
p.292

Measurement and Calibration of the Displacement and Pressure in Automatic Wheelset Assembly Machine
p.296

Mechanical Analysis of Disc Cam Mechanisms with Negative Radius Roller Translating Follower
p.301

Modal Analysis of Eccentric Rotor for Multi-Layer Leather High-Speed Cutting Machine Based on Bond Graph Method
p.307

Modeling and Algorithm of Adaptive Gas Cooling Subsystem for Direct Metallic Component Manufacturing
p.312

Multi-Objective Design Optimization of Cooling Turbine Blade Based on Kriging Model
p.316

Non-Uniform Motion Mechanisms Utilized in a Twin-Rotor Piston Engine
p.320

Numerical Analysis of Axisymmetric Nozzle Aerodynamic Characteristics
p.324

Numerical Analysis of Fluid-Structure Interaction during Ignition Process for Solid Rocket Motor with Stress-Reliver
p.328

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 184-185Modeling and Algorithm of Adaptive Gas Cooling...

Modeling and Algorithm of Adaptive Gas Cooling Subsystem for Direct Metallic Component Manufacturing

Abstract:

In this paper, the influence of thermal accumulation on the deposition trajectory quality during the plasma deposition process was investigated. The energy balance model in the deposition process was analyzed and an adaptive gas cooling subsystem to diminish thermal accumulation during manufacturing process was developed. The subsystem consisted of gas cooling rotation device driven by step motor and a special CAM program. Experiments were carried out to verify the validity of the adaptive gas cooling subsystem. Results showed that the application of adaptive gas cooling subsystem effectively suppressed the thermal accumulation during the manufacturing process and eliminated the collapsing of the deposition trajectory.

You might also be interested in these eBooks

Frontiers of Mechanical Engineering and Materials Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 184-185)

Pages:

312-315

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.184-185.312

Citation:

Cite this paper

Online since:

June 2012

Authors:

Hai Ping Zou

Keywords:

Adaptive, Algorithm (GA), Cooling, Metallic Component

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Terakubo M, Oh J, Kirihara S, et al. Freeform fabrication of titanium metal by 3D micro welding [J]. Materials Science and Engineering: A. 2005, 402(1-2): 84-91.

DOI: 10.1016/j.msea.2005.04.025

Google Scholar

[2] Terakubo M, Oh J, Kirihara S, et al. Freeform fabrication of Ti-Ni and Ti-Fe intermetallic alloys by 3D Micro Welding[J]. Intermetallics. 2007, 15(2): 133-138.

DOI: 10.1016/j.intermet.2006.03.012

Google Scholar

[3] Katou M, Oh J, Miyamoto Y, et al. Freeform fabrication of titanium metal and intermetallic alloys by three-dimensional micro welding[J]. Materials & Design. 2007, 28(7),2093-2098.

DOI: 10.1016/j.matdes.2006.05.024

Google Scholar

[4] Paul C P, Jain A, Ganesh P, et al. Laser rapid manufacturing of Colmonoy-6 components [J]. Optics and Lasers in Engineering. 2006, 44(10): 1096-1109.

DOI: 10.1016/j.optlaseng.2005.08.005

Google Scholar

[5] Jandric Z, Labudovic M, Kovacevic R. Effect of heat sink on microstructure of three-dimensional parts built by welding-based deposition[J]. International Journal of Machine Tools and Manufacture. 2004, 44(7-8): 785-796.

DOI: 10.1016/j.ijmachtools.2004.01.009

Google Scholar