scholarly journals Prediction of Hardness in Friction Stir Processing by Artificial Neural Networks

2021 ◽  
Author(s):  
Kartikeya Bector ◽  
◽  
Ravi Butola ◽  
Ranganath M. Singari ◽  
S L Bhandarkar ◽  
...  
Keyword(s):  
Rotational Speed ◽  
Material Flow ◽  
Ann Model ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Subsequent Decrease ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Tool Pin ◽  
Learning Data

This research focuses on the use of Artificial Neural Network (ANN) for the prediction of the microhardness of friction stir processed aluminium based metal matrix composite (AA6061+Al2O3). Different specimens were obtained by using rotating speeds of 1100, 1210, 1320 and 1430 rpm and travelling speeds of 36, 48, 60, 72 mm/min. The microhardness value (HV) of the processed surface of each of the samples was measured and the data collected from the specimens was used as learning data for ANN. Higher rotational speed and lower transversal speeds resulted in higher hardness value since processing at higher tool rotational speed causes high material flow and good resistance to the tool pin profile. A uniform increase in microhardness was observed up to 1320 RPM and a subsequent decrease on any further increments of tool rotational speed. Subsequently, the highest values of microhardness were observed with a square mandrel at 1320 RPM and 36 mm/min. The calculated results were satisfactorily compliant with the measured data and the ANN model was successful in predicting the microhardness.

Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites

2021 ◽  
pp. 095440892110368
Author(s):  
Ravi Butola ◽  
Ranganath M. Singari ◽  
Qasim Murtaza ◽  
Lakshay Tyagi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Tensile Strength ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Rotational Speed ◽  
Total Elongation ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Artificial Neural

In the present work, nanoboron carbide is integrated in the aluminum matrix using friction stir processing: by varying process parameters, that is, tool pin profile, tool rotational speed and tool traverse speed, based on Taguchi L16 design of experiment. A self-assembled monolayer is successfully developed on the substrate to homogeneously and uniformly distribute the reinforcement particles. Response surface methodology and artificial neural network models are developed using ultimate tensile strength and total elongation as responses. Percentage absolute error between the experimental and predicted values of ultimate tensile strength and total elongation for the response surface methodology model is 3.537 and 2.865, respectively, and for artificial neural network is 2.788 and 2.578, respectively. For both the developed models experimental and forecasted values are in close approximation. The artificial neural network model showed slightly better predictive capacity compared to the response surface methodology model. From the scanning electron microscopy micrograph, it is evident that throughout the matrix B4C reinforcement particles are well distributed also; with increasing tool rotational speed grain size decreases up to 1200 r/min; on further increasing the tool rotational speed particles starts clustering.

Effect of Tool Rotational Speed on Microstructure and Microhardness of AA6082/TiC Surface Composites using Friction Stir Processing

2014 ◽  
Vol 592-594 ◽  
pp. 234-239 ◽  
Author(s):  
A. Thangarasu ◽  
N. Murugan ◽  
I. Dinaharan ◽  
S.J. Vijay
Keyword(s):  
Friction Stir Processing ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Surface Composite ◽  
Surface Composites ◽  
Homogenous Distribution ◽  
Tool Pin ◽  
Scanning Electron

Friction stir processing (FSP) is as a novel modifying technique to synthesize surface composites. An attempt has been made to synthesis AA6082/TiC surface composite using FSP and to analyze the effect of tool rotational speed on microstructure and microhardness of the same. The tool rotational speed was varied from 800 rpm to 1600 rpm in steps of 400 rpm. The traverse speed, axial force, groove width and tool pin profile were kept constant. Scanning electron microscopy was employed to study the microstructure of the fabricated surface composites. The results indicated that the tool rotational speed significantly influenced the area of the surface composite and distribution of TiC particles. Higher rotational speed provided homogenous distribution of TiC particles while lower rotational speed caused poor distribution of TiC particles in the surface composite. The effect of the tool rotational speed on microhardness is also reported in this paper.

Parameters optimization in FSW of polypropylene based on RSM

2015 ◽  
Vol 11 (1) ◽  
pp. 32-42 ◽  
Author(s):  
K Panneerselvam ◽  
Kasirajan Lenin
Keyword(s):  
Process Parameters ◽  
Rotational Speed ◽  
Optimization Techniques ◽  
Parameters Optimization ◽  
Tool Rotational Speed ◽  
Content Type ◽  
Friction Stir ◽  
Optimization Of Process Parameters ◽  
Output Characteristics ◽  
Tool Pin

Purpose – The purpose of this paper is to weld polypropylene (PP) material by friction stir welding (FSW) process. The input process parameters considered were: tool pin profile, feed rate and tool rotational speed and the process output characteristics were tensile strength, Shore-D hardness, Rockwell hardness, Izod strength, Charpy strength and nugget area. Design/methodology/approach – Optimization of process parameters were carried out based on response surface methodology (RSM) and significant parameters were obtained by performing analysis of variance (ANOVA). Findings – The optimized results were the threaded pin profile for feed of 60 mm/min and tool rotational speed of 1,500 rpm. A confirmation test was carried out to verify the optimized results. Originality/value – In this paper, the process parameters were optimized based on RSM. This is newly adopted optimization techniques in the FSW process of PP materials and also it gives better results.

Material flow modeling for the DSFSW of magnesium alloy

2020 ◽  
pp. 030932472097661
Author(s):  
Parviz Asadi ◽  
MohammadHosein Mirzaei
Keyword(s):  
Magnesium Alloy ◽  
Rotational Speed ◽  
Material Flow ◽  
Sheet Thickness ◽  
Maximum Temperature ◽  
Flow Modeling ◽  
Az91 Magnesium Alloy ◽  
Friction Stir ◽  
Az91 Magnesium ◽  
Tool Pin

The Coupled Eulerian Lagrangian (CEL) method is utilized to model the double shoulder friction stir welding (DSFSW) of AZ91 magnesium alloy and then the model is verified by the experiments. The effects of tool rotational speed and sheet thickness on temperature and strain distributions as well as the material flow patterns are considered at different steps of the process. The material flow pattern around the tool pin is demonstrated properly and the shoulder driven and pin driven zones are predicted very well. Results show that, the material movement in shoulder driven and pin driven zones is different, while it is from the advancing side (AS) to the retreating side (RS) in the pin driven zone, it is inverse in the shoulder driven zone. Additionally, increase in rotational speed raises the maximum temperature and strain, improves the material movement, expands the SZ width and increases the depth of shoulder driven zone. Furthermore, increase in sheet thickness results in a decrease in maximum temperature and strain as well as the material movement. In the sheets with low thickness due to the effects of two shoulders, the pin driven zone is not distinguishable, however in thicker welding sheets the pin driven zone is obvious by significantly lower strains.

Effects of friction stir welding on corrosion and mechanical properties of AA6063 in sea water

2021 ◽  
pp. 095440622199554
Author(s):  
Laxmana Raju Salavaravu ◽  
Lingaraju Dumpala
Keyword(s):  
Mechanical Properties ◽  
Electron Microscope ◽  
Friction Stir Welding ◽  
Corrosion Rate ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Tool Pin Profile ◽  
Tool Pin

Submerged friction stir welding (FSW) is used to improve the weld zones mechanical properties in the present study. This research aims to obtain the optimized process parameters used to fabricate the AA6063 Submerged FSW joint. In the Submerged FSW process, the most important influential factors are tool rotational speed, traverse speed, and pin profile in a seawater environment. The different workpieces are friction stir welded while submerged in seawater at different tool rotational speeds, traverse speeds, and tool pin profiles such as square pin, cylindrical taper pin, and threaded pin. The produced weldments were tested for the mechanical properties of higher tensile strength, microhardness, corrosion rate, and the microstructure of weldments was characterized by using a scanning electron microscope, transmission electron microscope, and X-ray diffractometer. The corrosion rate is investigated by using an electrochemical analyzer by potential dynamic polarization open-circuit technique. For this investigation, The Taguchi method with the L9 orthogonal array design of experimentation is adopted. The maximum UTS was acquired in the weld joint fabricated with 1250 r/min of tool rotational speed, 45 mm/min traverse speed, and a square tool pin. The stirred zone is tested for microhardness. High hardness is achieved with high tool rotational speed and low traverse speed with a square tool pin profile. The corrosion rate is also decreased with high tool rotational speed, low traverse speed, and a square tool pin profile.

Optimizing Process Conditions in Friction Stir-Diffusion Lap Welding of Aluminum Alloy With Cold Rolled Steel

2018 ◽  
Author(s):  
Fadi Al-Badour ◽  
Necar Merah ◽  
Omer Mohamed ◽  
Abdelaziz Bazoune ◽  
Abdelrahman Shuaib
Keyword(s):  
Rotational Speed ◽  
Joint Strength ◽  
Weld Strength ◽  
Process Conditions ◽  
Rolled Steel ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Tool Offset ◽  
Cold Rolled ◽  
Tool Pin

This paper deals with the development of friction stir diffusion bonding between 2 mm thick 5052 Aluminum alloy and Cold rolled Steel for cladding application. The investigation focuses on the effect of process conditions on tensile-shear strength of produced lap joint by considering four independent welding parameters: tool rotational speed, welding speed, tool axial force and tool offset in the consecutive pass. A short tool-pin was utilized to avoid tool penetration into the steel substrate and mechanical mixing between clad material and the substrate. In order to optimize the process parameters for maximum joint strength and minimize the number of tests, Taguchi orthogonal array L9 with four factors and three levels was used. Results revealed that tool rotational speed had the greatest influence on produced weld strength. On the other hand, the tool pin length or penetration depth was found to have more effect on weld strength than the axial force. Moreover, clamps’ rigidity had a great impact on joint strength. For the selected material and tool, the optimum welding conditions were found to be 1000 rpm rotational speed, 12 kN plunging force, 100 mm/min welding speed and 12 mm tool offset.

scholarly journals Parametric Optimization of Mechanical Properties via FSW on AA5052 Using Taguchi Based Grey Relational Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 21-30
Author(s):  
C. CHANAKYAN ◽  
S. SIVASANKAR ◽  
M. MEIGNANAMOORTHY ◽  
S. V. ALAGARSAMY
Keyword(s):  
Friction Stir Welding ◽  
Aluminium Alloy ◽  
Grey Relational Analysis ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Relational Analysis ◽  
Grey Relational ◽  
Tool Pin

The Friction stir processing benefits of aluminium composites contain advanced exploration in the region of aluminium alloy Friction Stir Welding - FSW. The modern advancements in Friction Stir Welding are concentrated on the optimization of welding parameters for multi response attributes. The investigations were carried out with the tool pin profiles, tool rotational speed and traverse speed as predictable process parameters for multi response optimization in Friction Stir Welding of 5052 aluminium alloy. GRG (grey relational grade) was obtained by the grey relational analysis of the friction stir welding process through different qualities, particularly, UTS-ultimate tensile strength and micro hardness. The significant process variables on GRG and most substantial parameters traverse speed and tool pin profiles are examined by ANOVA. Excluding tool rotational speed, tool pin profiles and traverse speed were likewise observed to be significant. To approve the investigation, verification of tests was completed at optimal parameters arrangement and predicted outcomes were observed to be in great concurrence with test values.

scholarly journals Experimental Investigation of Friction stir Welding Using Hybrid Alloys

2021 ◽  
pp. 352-360
Author(s):  
A. J Amroliya ◽  
Dr. D. B Jani ◽  
Dr. R. K Shukla
Keyword(s):  
Tensile Strength ◽  
Friction Stir Welding ◽  
Rotational Speed ◽  
Research Work ◽  
Weld Strength ◽  
Tool Rotational Speed ◽  
Experimental Conditions ◽  
Friction Stir ◽  
Fsw Parameters ◽  
Tool Pin

Friction stir welding is an emerging solid state joining process which is used to join metals and alloys having low weldability. In this research work experimental analysis has been performed on FSW for AA 6061 and MgZ31B A. Effect of FSW parameters like tool rpm, tool transverse speed and tool pin profile are investigated. A vertical milling head is used to produce FSW joints. Hot work tool steel (H13) is used as a tool material and total 3 number of tools are manufactured namely as cylindrical pin, tapered pin and square pin. Tool transverse feed of 10, 15 and 20 mm/min and tool rotational speed of 800, 1000 and 1200 rpm are taken for the study. A full factorial method is used for three numbers of parameters and their three levels and total 27 numbers of experiments are conducted keeping all other parameters constant. As a response weld tensile strength of joints are tested according to ASME-IX. Response surface method (RSM) and Analysis of variance (ANOVA) is adopted for the statistical analysis. Chi square method is used for the validation purpose and a strong match has been found between predicted and actual value of weld tensile strength of joints. As a conclusion it has been derived that feed of 15 mm/min, tool rotational speed of 1200 rpm and tapered pin profile gives better weld strength for the given experimental conditions. Furthermore research can be carried out on Bobbin type tool, numerical analysis and multi pass of FSW tool.

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