scholarly journals Study on single-pass forming process parameters of laser direct deposition of Fe55 alloy

2021 ◽  
pp. 124-129
Author(s):  
G.L. Yin ◽  
S.Y. Chen ◽  
J. Liang ◽  
T. Cui ◽  
C.S. Liu ◽  
...  
Keyword(s):  
Process Parameters ◽  
Forming Process ◽  
Single Pass ◽  
Direct Deposition ◽  
Laser Direct Deposition

Influence of Parameters on Macro/Micro-Structure of TC11 Alloy by Laser Direct Deposition

2013 ◽  
Vol 281 ◽  
pp. 496-499 ◽  
Author(s):  
Xin Yong Gong ◽  
Ming Kun Liu ◽  
Yan Tao Liu ◽  
Yong Zhong Zhang
Keyword(s):  
Process Parameters ◽  
Laser Power ◽  
Scanning Speed ◽  
Phase Region ◽  
Thin Wall ◽  
Micro Structure ◽  
Plastic Properties ◽  
Direct Deposition ◽  
Β Phase ◽  
Laser Direct Deposition

Understanding the effect of process parameters on microstructure is crucial to control or optimize microstructure for laser direct deposition process. Four thin-wall samples of TC11 titanium alloy are deposited with different process parameters. They showed different macro/micro-structure and mechanical properties. The reason is analyzed by temperature field of samples which are simulated by ANSYS software. Results show that, deposition with low laser power and slow scanning speed is conducive to reducing molten pool temperature and soaking time in β-phase region, refining original β grain and improving the plastic properties of the deposited parts. Deposition with high laser power and rapid scanning speed, combined with interlayer stay, is helpful to increase the cooling rate within α+β phase region, refine intragranular α lamellar and improve the tensile strength of deposited parts.

scholarly journals Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

2021 ◽  
Author(s):  
Sherwan Mohammed Najm ◽  
Imre Paniti
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Process Parameters ◽  
Single Point ◽  
Tool Material ◽  
Deformation Mode ◽  
Geometric Accuracy ◽  
Forming Process ◽  
Tool Shape ◽  
Artificial Neural

AbstractIncremental Sheet Forming (ISF) has attracted attention due to its flexibility as far as its forming process and complexity in the deformation mode are concerned. Single Point Incremental Forming (SPIF) is one of the major types of ISF, which also constitutes the simplest type of ISF. If sufficient quality and accuracy without defects are desired, for the production of an ISF component, optimal parameters of the ISF process should be selected. In order to do that, an initial prediction of formability and geometric accuracy helps researchers select proper parameters when forming components using SPIF. In this process, selected parameters are tool materials and shapes. As evidenced by earlier studies, multiple forming tests with different process parameters have been conducted to experimentally explore such parameters when using SPIF. With regard to the range of these parameters, in the scope of this study, the influence of tool material, tool shape, tool-end corner radius, and tool surface roughness (Ra/Rz) were investigated experimentally on SPIF components: the studied factors include the formability and geometric accuracy of formed parts. In order to produce a well-established study, an appropriate modeling tool was needed. To this end, with the help of adopting the data collected from 108 components formed with the help of SPIF, Artificial Neural Network (ANN) was used to explore and determine proper materials and the geometry of forming tools: thus, ANN was applied to predict the formability and geometric accuracy as output. Process parameters were used as input data for the created ANN relying on actual values obtained from experimental components. In addition, an analytical equation was generated for each output based on the extracted weight and bias of the best network prediction. Compared to the experimental approach, analytical equations enable the researcher to estimate parameter values within a relatively short time and in a practicable way. Also, an estimate of Relative Importance (RI) of SPIF parameters (generated with the help of the partitioning weight method) concerning the expected output is also presented in the study. One of the key findings is that tool characteristics play an essential role in all predictions and fundamentally impact the final products.

Dieless Water Jet Incremental Micro-Forming

2018 ◽  
Author(s):  
Yi Shi ◽  
Jian Cao ◽  
Kornel F. Ehmann
Keyword(s):  
Process Parameters ◽  
Thin Shell ◽  
High Speed ◽  
Single Point ◽  
Sheet Thickness ◽  
Water Jet ◽  
Micro Forming ◽  
Forming Process ◽  
Thin Foils ◽  
High Pressure Water Jet

Compared to the conventional single-point incremental forming (SPIF) processes, water jet incremental micro-forming (WJIMF) utilizes a high-speed and high-pressure water jet as a tool instead of a rigid round-tipped tool to fabricate thin shell micro objects. Thin foils were incrementally formed with micro-scale water jets on a specially designed testbed. In this paper, the effects on the water jet incremental micro-forming process with respect to several key process parameters, including water jet pressure, relative water jet diameter, sheet thickness, and feed rate, were experimentally studied using stainless steel foils. Experimental results indicate that feature geometry, especially depth, can be controlled by adjusting the processes parameters. The presented results and conclusions provide a foundation for future modeling work and the selection of process parameters to achieve high quality thin shell micro products.

scholarly journals Design of Hydraulic Bulging Die for Automobile Torsion Beam and Optimization of Forming Process Parameters

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Kefan Yang ◽  
Youmin Wang ◽  
Kexun Fu
Keyword(s):  
Friction Coefficient ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Die Design ◽  
Molding Pressure ◽  
Hydraulic Pressure ◽  
Forming Process ◽  
Torsion Beam ◽  
Supporting Pressure ◽  
Hydraulic Bulging

The hydraulic bulging technology of tubes can provide hollow parts with special-shaped cross sections. Its manufacturing process can effectively improve material utilization and product accuracy and reduce the number and cost of molds. However, the hydraulic bulging process of parts is very complicated. The size of the tube blank, the design of the loading route, and the forming process parameters will have an effect on the molding quality. Closed tubular torsion automobile beam is considered as the research object to study hydraulic bulging die design and optimize forming process parameters. CATIA software is used to design torsion beam product structure and hydraulic bulging die. AMESim software is employed to design hydraulic synchronous control system for cylinders on both sides of the hydraulic bulging die. Mathematical control model is established and verified in Simulink software. DYNAFORM software is applied to conduct numerical simulation of hydraulic expansion. The supporting pressure, molding pressure, friction coefficient, and feeding quantity are taken as orthogonal experiment level factors. Maximum thinning and maximum thickening rates are taken as hydraulic pressure expansion evaluation indexes to complete the orthogonal experiments. Main molding process parameters are analyzed via orthogonal experiment results and optimized by employing the Taguchi method. Optimal hydraulic bulging parameters are obtained as follows: supporting pressure of 20 MPa, molding pressure of 150 MPa, feeding quantity of 25 mm, and friction coefficient of 0.075. Simulation analysis results indicate that the maximum thinning rate is equal to 9.013%, while the maximum thickening rate is equal to 16.523%. Finally, the design of hydraulic bulging die for torsion beam was completed, and its forming process parameters were optimized.

Grey Relational Analysis and Taguchi Method for the Parametric Optimization of Single Pass Friction Stir Welded Aluminum Alloy 7075-T6 Joints

2016 ◽  
Vol 852 ◽  
pp. 331-336 ◽  
Author(s):  
A. Varun Kumar ◽  
M. Balasrinivasan ◽  
Mohamed Dulkiflee
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Optimization Techniques ◽  
Friction Stir ◽  
Single Pass ◽  
Relational Analysis ◽  
Experimental Values ◽  
Aluminum Alloy 7075 ◽  
Grey Relational ◽  
Solid State Joining

Friction Stir Welding (FSW) is a solid state joining technique for both similar and dissimilar combination of materials. However, there is a scope in optimizing the process parameters involved in the FSW process. Taguchi based Grey Relational Analysis (GRA) has an impact in better optimization results when compared with other optimization techniques. In this present work totally 9 samples of single pass friction stir welded aluminium alloy were taken for the optimization process. The samples were subjected to various tool speeds and traverse speeds by keeping the axial force as constant. The experiments were planned using Taguchi’s orthogonal array selector in order reduce the multi responses involved in the FSW process. The final optimized values were correlated with the experimental values. It is revealed from results that the optimized process parameter showed a good agreement with the experimental values. The present work has also proved the feasibility of GRA in combination with Taguchi technique for better enhancement in the weldment and optimization of the process parameters.

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