Theoretical and Experimental Study of the Glass Lubricated Extrusion Process

1975 ◽  
Vol 97 (1) ◽  
pp. 18-23 ◽  
Author(s):  
P. Baque´ ◽  
J. Pantin ◽  
G. Jacob
Keyword(s):  
Experimental Study ◽  
Theoretical Model ◽  
Process Parameters ◽  
Glass Powder ◽  
Extrusion Process ◽  
High Viscosity ◽  
Experimental Measurements ◽  
Glass Film ◽  
Lubrication Mechanism ◽  
Influence Of Process Parameters

The Ugine-Se´journet patent for glass lubrication of metals extrusion made it possible to extrude steel in large quantities. A cold pad of glass powder inserted between the die and the billet head melts progressively, providing a high viscosity glass film between the die and the metal. The authors propose a theoretical model of the lubrication mechanism: progressive melting, hydrodynamic flow, and stability of the film. The influence of process parameters is discussed and results are compared with experimental measurements.

Research on Influence of Process Parameters on Sheet Metal Extrusion Force

2009 ◽  
Vol 16-19 ◽  
pp. 515-519
Author(s):  
Hua Xiang ◽  
Xin Cun Zhuang ◽  
Zhen Zhao
Keyword(s):  
Sheet Metal ◽  
Process Parameters ◽  
Fem Simulation ◽  
Extrusion Process ◽  
Orthogonal Experimental Design ◽  
Extrusion Force ◽  
Influence Of Process Parameters ◽  
Tool Shape ◽  
Simulation And Experiment ◽  
Metal Extrusion

Extrusion force plays a significant role on sheet metal extrusion process. It is characterized by various process parameters including material properties, extrusion ratio, friction, tool shape etc. In this paper, a reasonable FEM model of sheet metal extrusion process was established and validated by comparing the results of simulation and experiment firstly. Based on the reliable model, the effect on extrusion force of various process parameters was investigated with orthogonal experimental design combined FEM simulation. The work presented in this paper has laid certain foundation for further work of modeling and optimizing extrusion force.

AN EXPERIMENTAL STUDY OF A DIVERGENT NUCLEAR REACTOR

1953 ◽  
Vol 31 (2) ◽  
pp. 182-188 ◽  
Author(s):  
J. G. Bayly
Keyword(s):  
Experimental Study ◽  
Theoretical Model ◽  
Experimental Error ◽  
Nuclear Reactor ◽  
Relaxation Times ◽  
Experimental Measurements ◽  
Zero Energy

Experimental measurements of the relaxation times of a nuclear reactor were compared with the theoretical relaxation times in the range 1.6 to 186 sec. The work was done with the Chalk River Zero Energy Experimental Pile, ZEEP, in 1947, and showed that agreement within the experimental error could be obtained if the theoretical model used to represent the reactor was of the age-velocity type with a correction for the effect of the reflector.

Influence of Process Parameters on the Ironing of Deep-Drawn Cups

1997 ◽  
Vol 119 (4B) ◽  
pp. 699-705 ◽  
Author(s):  
Der-Form Chang ◽  
Jyhwen E. Wang
Keyword(s):  
Analytical Model ◽  
Process Parameters ◽  
Frictional Force ◽  
Elastic Recovery ◽  
Experimental Measurements ◽  
Inhomogeneous Deformation ◽  
Slab Method ◽  
Influence Of Process Parameters ◽  
New Process ◽  
Punch Load

An analytical model for the ironing of deep-drawn cups is developed using the slab method. Inhomogeneous deformation of the drawn cup is taken into consideration. Elastic recovery after a cup being ironed is also modeled. Predictions on punch load and frictional force at the punch-cup interface show excellent agreements with experimental measurements. Influence of die semi-angle, ironing reduction ratio and friction on the process is investigated. With this model, new process parameters for ironing can be designed and analyzed before actual die tryout.

Multi-Scale Numerical Simulation of H62 Brass for Hot-Extrusion Process

2010 ◽  
Vol 97-101 ◽  
pp. 2880-2885
Author(s):  
Yan Hong Xiao ◽  
Chen Guo ◽  
Xiao Kang Tian
Keyword(s):  
Numerical Simulation ◽  
Process Parameters ◽  
Hot Extrusion ◽  
Extrusion Process ◽  
High Temperature Deformation ◽  
Temperature Deformation ◽  
Influence Of Process Parameters ◽  
Multi Scale ◽  
Microstructure Prediction ◽  
Sine Functions

Thermal deformation process of H62 brass is studied, multi-scale simulations of macro-forming property and microstructure distribution are carried out for the hot-extrusion process of double cups part with flange utilizing numerical simulation technology, the process parameters are determined and the microstructure of extruded parts is predicted. The constitutive equation of H62 brass under high temperature deformation is established with isothermal compression test, and the results indicate that the flow stress accords to Arrhenius hyperbolic sine functions. The model of microstructure evolution during hot-deformation is founded and the influence of process parameters on microstructure is revealed. The microstructure prediction on extruded part shows that the simulated results agree well with the experimental results. The high-quality products are obtained using the optimal process parameters.

AN EXPERIMENTAL STUDY ON INFLUENCE OF PROCESS PARAMETERS ON DROSS PROPERTIES IN LASER MACHINING OF AISI 304 MATERIAL

2019 ◽  
Vol 14 (3) ◽  
Author(s):  
Aniket Jadhav ◽  
Shailendra Kumar
Keyword(s):  
Experimental Study ◽  
Process Parameters ◽  
Laser Power ◽  
Cutting Speed ◽  
Gas Pressure ◽  
Laser Machining ◽  
Influence Of Process Parameters ◽  
Aisi 304 ◽  
Optimization Of Process Parameters ◽  
Model Predictions

The present paper describes an experimental study on influence of process parameters on dross properties in laser machining of AISI 304 material. Process parameters namely laser power, cutting speed and gas pressure are considered in the present work. Design of experiments is done using response surface methodology and analysis of variance is performed in order to identify significance and influence of process parameters on dross height. It is found that laser power and gas pressure are most significant parameters followed by cutting speed. Dross height increases with increase in laser power and decreases with decrease in gas pressure. On the basis of experimental analysis, a second order mathematical model is developed to predict dross height. Model predictions and experimental results are found in reasonable agreement. Further, optimization of process parameters is also performed to minimize dross height

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