Journal ArticleDOI
A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy
TLDR
In this article, an attempt to select the optimum process parameters for friction stir welding of aluminium 2024 alloy based on multiple criteria decision-making approach is made, where the response parameters measured are ultimate tensile strength, impact toughness and hardness of welded joint that determines quality of joint.About:
This article is published in Measurement.The article was published on 2017-10-01. It has received 69 citations till now. The article focuses on the topics: Welding & Friction stir welding.read more
Citations
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Journal ArticleDOI
Intelligent welding system technologies: State-of-the-art review and perspectives
TL;DR: Fundamental components and techniques necessary to make welding systems intelligent, including sensing and signal processing, feature extraction and selection, modeling, decision-making, and learning are examined.
Journal ArticleDOI
Weldability of thermoplastic materials for friction stir welding- A state of art review and future applications
TL;DR: In this paper, the requirements of FSW and its process capability has been highlighted for joining of similar/dissimilar polymeric materials for future prospective, where the FSW is one of the most acceptable welding techniques for production of structural/industrial components.
Journal ArticleDOI
Multi objective prediction and optimization of control parameters in the milling of aluminium hybrid metal matrix composites using ANN and Taguchi -grey relational analysis
TL;DR: In this paper, the authors aim to optimize the input parameters such as mass fraction and particle size of SiC along with depth of cut, feed and cutting speed in the milling of Al5059/SiC/MoS 2.
Journal ArticleDOI
A multi-objective optimization of the friction stir welding process using RSM-based-desirability function approach for joining aluminum alloy 6063-T6 pipes
TL;DR: In this article, a multiobjective optimization technique involving response surface methodology (RSM)-based desirability function approach is used in optimizing the process parameters for friction stir welding of AA6063-T6 pipes.
Journal ArticleDOI
Monitoring of friction stir welding based on vision system coupled with Machine learning algorithm
TL;DR: This research attempts to develop a system for detection and classification of defective welds using weld surface image using Support Vector Machines and found that linear and quadratic kernel function classify defect weld and good weld with accuracy of 95.8%.
References
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Journal ArticleDOI
The use of grey relational analysis in solving multiple attribute decision-making problems
TL;DR: Comparisons show that GRA is efficient for solving MADM problem, which involves picking the best from among multiple available alternatives for all performance attributes.
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Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective
Sen Guo,Sen Guo,Huiru Zhao +2 more
TL;DR: In this article, the authors employed a multi-criteria decision-making (MCDM) method to consider some subjective but important criteria for EVCS site selection to reflect the ambiguity and vagueness due to the subjective judgments of decision makers.
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The use of a grey-based Taguchi method for optimizing multi-response simulation problems
TL;DR: In this article, a grey-based Taguchi method is proposed to solve the multi-response simulation problem, which adopts grey relational analysis (GRA) to transfer multiresponse problems into single-response problems.
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Modelling and Pareto optimization of mechanical properties of friction stir welded AA7075/AA5083 butt joints using neural network and particle swarm algorithm
Mohammad Hasan Shojaeefard,Reza Abdi Behnagh,Mostafa Akbari,Mostafa Akbari,Mohammad Kazem Besharati Givi,Foad Farhani +5 more
TL;DR: In this article, an Artificial Neural Network (ANN) model was developed to simulate the correlation between the friction stir welding parameters and mechanical properties, and the model was employed to predict the ultimate tensile strength and hardness of Butt joint of AA7075-O to AA5083-O aluminium alloys.
Journal ArticleDOI
Optimization of Plasma Arc Welding Parameters by Using the Taguchi Method with the Grey Relational Analysis
TL;DR: In this paper, the optimal parameters process of plasma arc welding (PAW) by the Taguchi method with Grey relational analysis is studied, and the Grey relational grade is used to find optimal PAW parameters with multiple response performance characteristics.