Akshansh Mishra Profile : Scipedia

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Akshansh Mishra's personal collection

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Documents published in Scipedia

Machine Learning for Friction Stir Welding Process
A. Mishra

(2021). Amazon Kindle Direct Publishing

Abstract
Book on the application of Machine Learning in Friction Stir Welding process. Available on Amazon.
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MACHINE LEARNING CLASSIFICATION MODELS FOR DETECTION OF THE FRACTURE LOCATION IN DISSIMILAR FRICTION STIR WELDED JOINT
A. Mishra

Applied Engineering Letters (2020). http://doi.fil.bg.ac.rs/volume.php?lang=en&pt=journals&issue=aeletters-2020-5-3&i=3

Abstract
Data analysis is divided into two categories i.e. classification and prediction. These two categories can be used for extraction of models from the dataset and further determine future data trends or important set of classes available in the dataset. The aim of the present work is to determine location of the fracture failure in dissimilar friction stir welded joint by using various machine learning classification models such as Decision Tree, Support Vector Machine (SVM), Random Forest, Naïve Bayes and Artificial Neural Network (ANN). It is observed that out of these classification algorithms, Artificial Neural Network results have the best accuracy score of
Abstract
Data analysis is divided into two categories i.e. classification and prediction. These two categories can be used for extraction of models from the dataset and further determine [...]
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Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints
A. Mishra

Advances in Mechanics (2021). http://advancesinmech.com/index.php/am/article/view/110/100

Abstract
Image processing algorithms are finding various applications in manufacturing and materials industries such as identification of cracks in the fabricated samples, calculating the geometrical properties of the given microstructure, presence of surface defects, etc. The present work deals with the application of Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm for improving the quality of the microstructure images of the Friction Stir Welded joints. The obtained results showed that the obtained value of quantitative metric features such as Entropy value and RMS Contrast value were high which resulted in enhanced microstructure images.
Abstract
Image processing algorithms are finding various applications in manufacturing and materials industries such as identification of cracks in the fabricated samples, calculating [...]
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Friction Stir Welding/Processing of High Entropy Alloys (HEAs)
A. Mishra

Welding Technology Review (2021). Welding Technology Review 93 (1), 27-33, 2021

Abstract
The composition of High Entropy Alloys is quite different from the existing classical engineering alloys because in near equiatomic ratios they contain multiple principal alloying elements. Design and development of high entropy alloys is very important to overcome the shortcomings of conventionally used alloys in applications where operating conditions of temperature and loading are extreme. High entropy alloys generally find applications in compressor blades of an aerospace engine, energy, and transportation industries due to its low density and high strength. In order to enhance the application of high entropy alloys, the proper selection of a feasible welding process is very important. It has been observed that when high entropy alloys are subjected to the welding process other than the Friction Stir Welding process then it will result in reduced overall strength and lower hardness in the fusion zone and heat-affected zone. In this recent paper, the application of Friction Stir Welding for joining the high entropy alloys and also using Friction Stir Processing for improving the mechanical and microstructure properties of high entropy alloys are discussed.
Abstract
The composition of High Entropy Alloys is quite different from the existing classical engineering alloys because in near equiatomic ratios they contain multiple principal [...]
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Artificial Intelligence Algorithms for the Analysis of Mechanical Property of Friction Stir Welded Joints by using Python Programming
A. Mishra

(2020). Welding Technology Review 92 (6), 7-16, 2020

Abstract
In modern computational science, the interplay existing between machine learning and optimization process marks the most vital developments. Optimization plays an important role in mechanical industries because it leads to reduce in material cost, time consumption and increase in production rate. The recent work focuses on performing the optimization task on Friction Stir Welding process for obtaining the maximum Ultimate Tensile Strength (UTS) of the friction stir welded joints. Two machine learning algorithms i.e. Artificial Neural Network (ANN) and Decision Trees regression model are selected for the purpose. The input variables are Tool Rotational Speed (RPM), Tool Traverse Speed (mm/min) and Axial Force (KN) while the output variable is Ultimate Tensile Strength (MPa). It is observed that in case of the Artificial Neural Networks the Root Mean Square Errors for training and testing sets are 0.842 and 0.808 respectively while in case of Decision Trees regression model, the training and testing sets result Root Mean Square Errors of 11.72 and 14.61. So, it can be concluded that ANN algorithm gives better and accurate result than Decision Tree regression algorithm.
Abstract
In modern computational science, the interplay existing between machine learning and optimization process marks the most vital developments. Optimization plays an important [...]
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Articles (Documents not available in Scipedia)

Mechanical and microstructure characterization of a new series magnesium metal matrix composites
A Mishra

International Journal of Materials Science 1 (1), 21-28, 2020
Low cycle fatigue failure study of friction stir welded AA 6061 alloy similar joints
A Mishra, A Tiwari, S Maurya, N Kumar

IJMS 1 (1), 16-20, 2020
DETECTION OF SURFACE DEFECTS IN FRICTION STIR WELDED JOINTS BY USING A NOVEL MACHINE LEARNING APPROACH
A Mishra, S Dutta

Applied Engineering Letters 5 (1), 16-21, 2020
Novel Approach for Surface Defect analysis of Friction Stir Welded Lightweight automotive metal alloys by using Local Binary Patterns
A Mishra

Journal of Advanced Research in Manufacturing, Material Science …, 2020
Surface Quality Analysis of Friction Stir Welded Joints by Using Fourier Transformation and Local Binary Patterns Algorithms
A Mishra

Soldagem & Inspeção 25, 2020
Image Processing of Friction Stir Welded 6060-T5 Aluminum Alloy Joint
A Mishra

Journal of Aircraft and Spacecraft Technology 4, 48-53, 2020
Deep Computer Vision for the Detection of Tantalum and Niobium Fragments in High Entropy Alloys
A Mishra

Available at SSRN 3653210, 2020
Local binary pattern defect recognition approach for the friction stir welded AA 1200 and AA 6061-T6 aluminum alloy
A Mishra

Journal of Mechanical and Energy Engineering 4 (1), 27-32, 2020
Machine Learning Algorithm for Surface Quality Analysis of Friction Stir Welded Joint
A Mishra

Strojnícky časopis-Journal of Mechanical Engineering 70 (2), 11-20, 2020
Estimation of Grain Size Distribution of Friction Stir Welded Joint by using Machine Learning Approach
A Mishra, T Pathak

Ediciones Universidad de Salamanca (España), 2020
Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints
A Mishra

Fatigue of Aircraft Structures 1 (ahead-of-print), 2020
Machine Learning Approach to Determine Corrosion Potential of Friction Stir Welded Joints
A Mishra, A Tiwari, NK Dubey

Journal of Image Processing & Pattern Recognition Progress 7 (1), 5-17, 2020
Local binary pattern for the evaluation of surface quality of dissimilar Friction Stir Welded Ultrafine Grained 1050 and 6061-T6 Aluminium Alloys
A Mishra

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence …, 2020
Regression modeling and neural computing for predicting the ultimate tensile strength of friction stir welded aerospace aluminium alloy
A Mishra, JV Vance, A Dasgupta, M Saravanan

Research Journal of Engineering and Technology 10 (4), 163-171, 2019
Artificial Neural Network (ANN) and regression model for predicting the Albumin to Globulin (A/G) ratio in a serum protein electrophoresis test
A Mishra

African Journal of Biological Sciences 1 (3), 40-49, 2019
Neural Computing for Determining the Accuracy of Ultimate Tensile Strength of Friction Stir Welded Joints by using Various Activation Functions
A Mishra

Available at SSRN 3423605, 2019
Soft computing to determine a Hemoglobin level of an early stage Multiple Myeloma patient by using Rectified Linear Units (ReLu) activation function
A Mishra, M Diwan

International Journal of Computer Sciences and Engineering 7 (9), 26-30, 2019
Constructing the First Convolutional Neural Network for Determining Damaged Bones and Normal Bones in X-Ray Images
A Mishra, P Datta

International Journal of Computer Sciences and Engineering 7 (11), 52-55, 2019
Understanding Machine Learning for Friction Stir Welding Technology
A Mishra

International Journal of Machine Learning and Networked Collaborative …, 2019
Application of Neural Network Techniques in Friction Stir Welding Process
A Mishra, K Jaiswal, AR Rose, G Nidigonda

International Journal for Research in Applied Science & Engineering …, 2019
Convolution Neural Network for Image Processing of Friction Stir Welded and Conventional Welded Joints Texture
A Mishra, K Nagpal

International Journal of Human Computer Interaction and Data Mining 2 (1), 5-9, 2019
Micro Friction Stir Welding Process: State of the Art
A Mishra

International Journal of Current Engineering and Technology 8 (2), 290-293, 2018
Low Cycle Fatigue Analysis of Friction Stir Welded and TIG Welded Al-Mg-Si alloy similar joints
A Mishra, A Dasgupta

Development 5 (04), 2018
A Review on the Effect of Cryogenic Treatment on the Mechanical Properties of Friction Stir Welded Joints
A Mishra

Available at SSRN 3291049, 2018
The use of artificial neural network in friction stir welding research
A Mishra

Available at SSRN 3301107, 2018
Comparative mechanical and microstructure properties analysis of friction stir welded and TIG welded AA6061-T6 similar joints
A Mishra, G Nidigonda

J. Adv. Res. Manuf. Mater. Sci. Metall. Eng 5 (1-2), 1-8, 2018
Analysis of Tools used in Friction Stir Welding process
A Mishra, A Tiwari, MK Shukla, AR Rose

International Journal of Current Engineering and Technology 8 (6), 1519-1524, 2018
Mechanical and microstructure properties analysis of friction stir welded similar and dissimilar Mg alloy joints
A Mishra, AD Gupta, AK Sharma, G Nidigonda

Int. J. Curr. Eng. Technol 8, 2018
Study on microstructural and mechanical properties of dissimilar joint of laser beam welded Inconel 625 and SS 316
A Mishra, D Dixit, AK Sharma

Int J Eng Adv Technol 6 (1), 1-20, 2018
Friction Stir Welding of Aerospace Alloys
A Mishra

Journal of Mechanical Engineering 48 (1), 37-46, 2018
Friction stir welding of dissimilar metal: a review
A Mishra

Available at SSRN 3104223, 2018
DESIGNING AND FABRICATION OF FIXTURE FOR FRICTION STIR WELDING OF ALUMINIUM AA6061 ALLOYS
A Mishra

International Journal for Scientific Research and Development 5 (5), 717-719, 2017
Processing of Magnesium Metal Composites Through Stir Casting
A Mishra, AD Gupta

SRM University, 2017
Analysis Of Heat Generation During Friction Stir Processing of Aluminium Similar Joints
A Mishra, A Kumar Sharma

Available at SSRN 3093467, 2017
Zero Electricity Air Conditioning Using Phase Changing Materials
A Mishra, AD Gupta, AK Mandal, A Singh

International journal of thermal engineering 4 (1), 2016

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COLLECTIONS

Akshansh Mishra's personal collection

Documents published in Scipedia

Machine Learning for Friction Stir Welding Process

MACHINE LEARNING CLASSIFICATION MODELS FOR DETECTION OF THE FRACTURE LOCATION IN DISSIMILAR FRICTION STIR WELDED JOINT

Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints

Friction Stir Welding/Processing of High Entropy Alloys (HEAs)

Artificial Intelligence Algorithms for the Analysis of Mechanical Property of Friction Stir Welded Joints by using Python Programming

Articles (Documents not available in Scipedia)

Mechanical and microstructure characterization of a new series magnesium metal matrix composites

Low cycle fatigue failure study of friction stir welded AA 6061 alloy similar joints

DETECTION OF SURFACE DEFECTS IN FRICTION STIR WELDED JOINTS BY USING A NOVEL MACHINE LEARNING APPROACH

Novel Approach for Surface Defect analysis of Friction Stir Welded Lightweight automotive metal alloys by using Local Binary Patterns

Surface Quality Analysis of Friction Stir Welded Joints by Using Fourier Transformation and Local Binary Patterns Algorithms

Image Processing of Friction Stir Welded 6060-T5 Aluminum Alloy Joint

Deep Computer Vision for the Detection of Tantalum and Niobium Fragments in High Entropy Alloys

Local binary pattern defect recognition approach for the friction stir welded AA 1200 and AA 6061-T6 aluminum alloy

Machine Learning Algorithm for Surface Quality Analysis of Friction Stir Welded Joint

Estimation of Grain Size Distribution of Friction Stir Welded Joint by using Machine Learning Approach

Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints

Machine Learning Approach to Determine Corrosion Potential of Friction Stir Welded Joints

Local binary pattern for the evaluation of surface quality of dissimilar Friction Stir Welded Ultrafine Grained 1050 and 6061-T6 Aluminium Alloys

Regression modeling and neural computing for predicting the ultimate tensile strength of friction stir welded aerospace aluminium alloy

Artificial Neural Network (ANN) and regression model for predicting the Albumin to Globulin (A/G) ratio in a serum protein electrophoresis test

Neural Computing for Determining the Accuracy of Ultimate Tensile Strength of Friction Stir Welded Joints by using Various Activation Functions

Soft computing to determine a Hemoglobin level of an early stage Multiple Myeloma patient by using Rectified Linear Units (ReLu) activation function

Constructing the First Convolutional Neural Network for Determining Damaged Bones and Normal Bones in X-Ray Images

Understanding Machine Learning for Friction Stir Welding Technology

Application of Neural Network Techniques in Friction Stir Welding Process

Convolution Neural Network for Image Processing of Friction Stir Welded and Conventional Welded Joints Texture

Micro Friction Stir Welding Process: State of the Art

Low Cycle Fatigue Analysis of Friction Stir Welded and TIG Welded Al-Mg-Si alloy similar joints

A Review on the Effect of Cryogenic Treatment on the Mechanical Properties of Friction Stir Welded Joints

The use of artificial neural network in friction stir welding research

Comparative mechanical and microstructure properties analysis of friction stir welded and TIG welded AA6061-T6 similar joints

Analysis of Tools used in Friction Stir Welding process

Mechanical and microstructure properties analysis of friction stir welded similar and dissimilar Mg alloy joints

Study on microstructural and mechanical properties of dissimilar joint of laser beam welded Inconel 625 and SS 316

Friction Stir Welding of Aerospace Alloys

Friction stir welding of dissimilar metal: a review

DESIGNING AND FABRICATION OF FIXTURE FOR FRICTION STIR WELDING OF ALUMINIUM AA6061 ALLOYS

Processing of Magnesium Metal Composites Through Stir Casting

Analysis Of Heat Generation During Friction Stir Processing of Aluminium Similar Joints

Zero Electricity Air Conditioning Using Phase Changing Materials

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