scholarly journals Formability Difference between TC4 Titanium Alloy Hollow Shaft and AISI 1045 Steel Hollow Shaft Formed by Cross Wedge Rolling with a Mandrel

2021 ◽  
Vol 2101 (1) ◽  
pp. 012053
Author(s):  
Pengni Feng ◽  
Baoyu Wang ◽  
Cuiping Yang ◽  
Huibo Zhang
Keyword(s):  
Deformation Temperature ◽  
Rolling Force ◽  
Peak Stress ◽  
Cross Wedge Rolling ◽  
Hollow Shaft ◽  
Temperature Range ◽  
Aisi 1045 Steel ◽  
Tc4 Alloy ◽  
Aisi 1045 ◽  
1045 Steel

Abstract Production of TC4 alloy hollow shaft formed by cross wedge rolling (CWR) can meet the needs of the lightweight structures in aviation field. Different from the steel, the formability of TC4 alloy is sensitive to deformation temperature. In this work, the formability difference of TC4 alloy hollow shaft and AISI 1045 steel hollow shaft formed by CWR with a mandrel was studied numerically and experimentally. The results show that the influence of temperature on TC4 alloy flow stress is larger than that of 1045 steel, and the peak stress of TC4 alloy at 900 °C is close to that of 1045 steel at 1050 °C. For the hollow shafts of two materials, the ellipticity increases with increasing the inner hole diameter. For the same size of thin-walled billets, the forming quality of TC4 alloy at 900 °C is better than that of 1045 steel at 1050 °C. The CWR temperature range of TC4 alloy is narrower than 1045 steel. The increase of the initial deformation temperature can significantly increase the ellipticity of TC4 alloy and the appropriate forming temperature range of CWR TC4 alloy hollow shaft should be lower than 950 °C. Moreover, the rolling force and torque of TC4 alloy hollow shaft are smaller than that of 1045 steel when CWR hollow billet with the same dimensions.

Fuzzy Modeling to Simulate Surface Roughness in CNC Turning of AISI 1045 Steel

2011 ◽  
Vol 486 ◽  
pp. 262-265
Author(s):  
Amit Kohli ◽  
Mudit Sood ◽  
Anhad Singh Chawla
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Process Parameters ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Cnc Machine ◽  
Model Based ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

The objective of the present work is to simulate surface roughness in Computer Numerical Controlled (CNC) machine by Fuzzy Modeling of AISI 1045 Steel. To develop the fuzzy model; cutting depth, feed rate and speed are taken as input process parameters. The predicted results are compared with reliable set of experimental data for the validation of fuzzy model. Based upon reliable set of experimental data by Response Surface Methodology twenty fuzzy controlled rules using triangular membership function are constructed. By intelligent model based design and control of CNC process parameters, we can enhance the product quality, decrease the product cost and maintain the competitive position of steel.

scholarly journals Evaluation of the characteristics of an AISI 1045 steel quenched in different concentration of polymer solutions of polyvinylpyrrolidone

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eduardo da Rosa Vieira ◽  
Luciano Volcanoglo Biehl ◽  
Jorge Luis Braz Medeiros ◽  
Vagner Machado Costa ◽  
Rodrigo Jorge Macedo
Keyword(s):  
Microstructural Characterization ◽  
Exchange Capacity ◽  
X Ray Diffraction ◽  
Thermal Exchange ◽  
The Core ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
Quench Hardening ◽  
Polymeric Solutions ◽  
1045 Steel

AbstractQuench hardening aims at the microstructural transformation of steels in order to improve hardness and mechanical strength. The aim phase is, in most cases, the martensite. It is necessary to heat the material until it obtains its austenitization and quenching by immersion in a fluid. Currently, it is common to use watery polymeric solutions in this procedure. These fluids, which are the mixture of polymers in water, vary their thermal exchange capacity depending on the concentrations applied. The increase in concentration minimizes the removal of heat from the part, reducing the formation capacity of martensite, and developing a lower hardness and strong steel. In this work, microstructural characteristics and properties of AISI 1045 steel quenched in solutions based on polyvinylpyrrolidone (PVP) in 10, 15, 20, and 25% concentration were evaluated. The microstructural characterization quantified the percentage of the phases in each concentration, demonstrating a reduction of martensite as the concentrations were high. The investigation of the samples by x-ray diffraction confirmed the absence of austenite retained in the material. Furthermore, a microhardness scale between the core and the surface was constructed, in which a reduction gradient of the indices of this property towards the core of the sample was evidenced.

scholarly journals Correction and accuracy improvement of non-parallel shear zone model

2018 ◽  
Vol 207 ◽  
pp. 02002
Author(s):  
Yaoke Wang ◽  
Meng Kou ◽  
Wei Ding ◽  
Huan Ma ◽  
Liangshan Xiong
Keyword(s):  
Experimental Data ◽  
Cutting Force ◽  
Shear Zone ◽  
Coordinate Transformation ◽  
Chip Thickness ◽  
Zone Model ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
Experimental Values ◽  
1045 Steel

When applying the non-parallel shear zone model to predict the cutting process parameters of carbon steel workpiece, it is found that there is a big error between the prediction results and the experimental values. And also, the former approach to obtain the relevant cutting parameters of the non-parallel shear zone model by applying coordinate transformation to the parallel shear zone model has a theoretical error – it erroneously regards the determinant (|J|) of the Jacobian matrix (J) in the coordinate transformation as a constant. The shape of the shear zone obtained when |J| is not constant is drew and it is found that the two boundaries of the shear zone are two slightly curved surfaces rather than two inclined planes. Also, the error between predicted values and experimental values of cutting force and cutting thrust is slightly smaller than that of constant |J|. A corrected model where |J| is a variable is proposed. Since the specific values of inclination of the shear zone (α, β), the thickness coefficient of the shear zone (as) and the constants related to the material (f0, p) are not given in the former work, a method to obtain the above-mentioned five constants by solving multivariable constrained optimization problem based on experimental data was also proposed; based on the obtained experimental data of AISI 1045 steel workpiece cutting force, cutting thrust, chip thickness, the results of five above-mentioned model constants are obtained. It is found that, compared with prediction from uncorrected model, the cutting force and cutting thrust of AISI 1045 steel predicted by the corrected model with the obtained constants has a better agreement with the experimental values obtained by Ivester.

Influence of single- and multilayer TiN films on the axial tension and fatigue performance of AISI 1045 steel

1999 ◽  
Vol 338 (1-2) ◽  
pp. 177-184 ◽  
Author(s):  
Y.L. Su ◽  
S.H. Yao ◽  
C.S. Wei ◽  
W.H. Kao ◽  
C.T. Wu
Keyword(s):  
Fatigue Performance ◽  
Tin Films ◽  
Axial Tension ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

New Thermal Issues on the Modelling of Tool-Workpiece Interaction: Application to Dry Cutting of AISI 1045 Steel

2011 ◽  
Vol 223 ◽  
pp. 286-295 ◽  
Author(s):  
Cédric Courbon ◽  
Tarek Mabrouki ◽  
Joël Rech ◽  
Denis Mazuyer ◽  
Enrico D'Eramo
Keyword(s):  
Heat Flux ◽  
Hot Spot ◽  
Orthogonal Cutting ◽  
Chip Thickness ◽  
Contact Length ◽  
Dry Cutting ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel ◽  
Coated Carbide

The present work proposes to enhance the thermal interface denition in Finite Element (FE) simulations of machining. A user subroutine has been developed in Abaqus/Explicit © to implement a new experimentally-based heat partition model extracted from tribological tests. A 2D Arbitrary-Lagragian-Eulerian (ALE) approach is employed to simulate dry orthogonal cutting of AISI 1045 steel with coated carbide inserts. Simulation results are compared to experimental ones over a whole range of cutting speeds and feed rates in terms of average cutting forces, chip thickness, tool chip contact length and heat flux. This study emphasizes that heat transfer and temperature distribution in the cutting tool are drastically in uenced by the thermal formulation used at the interface. Consistency of the numerical results such as heat flux transmitted to the tool, peak temperature as well as hot spot location can be denitively improved.

What Sound Can Be Expected From a Worn Tool?

1969 ◽  
Vol 91 (3) ◽  
pp. 525-534 ◽  
Author(s):  
E. J. Weller ◽  
H. M. Schrier ◽  
Bjorn Weichbrodt
Keyword(s):  
Machine Tool ◽  
Detection System ◽  
Cutting Edge ◽  
Cemented Carbide ◽  
Electronic Unit ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
Edge Wear ◽  
Sonic Detection ◽  
1045 Steel

This paper describes an electronic-mechanical system which utilizes sonic signals to detect the degree of cutting edge wear in metalworking tools and automatically trigger a cutting edge change. A packaged electronic unit reads out sonic vibrations from an instrumented machine-tool workpiece cutting-tool system to determine degree of cutting edge wear during a turning cut. At a predetermined comparative sonic ratio, the electronic unit commands stoppage of the machine tool feed, retraction of the tool and automatic index of the cemented carbide insert to the next good cutting edge. The latter function is performed by a prototype mechanical device. The paper describes the system and cites data generated during use of the sonic detection system with five grades of cemented carbide cutting AISI 1045 steel. Results under varying cutting conditions are reported. The authors speculate on the possibility of combining such a wear detection and cutting edge indexing arrangement with a computer to provide a complete system for optimum productivity and economy in a completely automatic operation.

Duplex surface treatment of AISI 1045 steel via plasma nitriding of chromized layer

2011 ◽  
Vol 519 (20) ◽  
pp. 6792-6796 ◽  
Author(s):  
F. Hakami ◽  
M. Heydarzadeh Sohi ◽  
J. Rasizadeh Ghani
Keyword(s):  
Surface Treatment ◽  
Plasma Nitriding ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
Duplex Surface Treatment ◽  
1045 Steel
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