[HTML][HTML] Recent research progress in friction stir welding of aluminium and copper dissimilar joint: a review

MSM Isa, K Moghadasi, MA Ariffin, S Raja… - Journal of Materials …, 2021 - Elsevier
Aluminium and copper are employed in various industrial applications due to their high
plasticity, thermal conductivity, electrical conductivity and characteristics. By effectively …

Finite element modelling, predictive modelling and optimization of metal inert gas, tungsten inert gas and friction stir welding processes: a comprehensive review

K Kalita, D Burande, RK Ghadai… - Archives of Computational …, 2023 - Springer
Welding is an essential fabrication process in any of the construction or manufacturing
industries. Over the years, numerous welding techniques have been developed to fulfil the …

[HTML][HTML] Optimization of landscape pattern in China Luojiang Xiaoxi basin based on landscape ecological risk assessment

S Li, W He, L Wang, Z Zhang, X Chen, T Lei, S Wang… - Ecological …, 2023 - Elsevier
Multi-source ecological risks have induced many ecological pollution problems that cannot
be ignored and seriously threaten regional ecological security. Constructing and optimizing …

The role of climate change adaptation of small-scale farmers on the households food security level in the west of Iran

M Savari, M Zhoolideh - Development in Practice, 2021 - Taylor & Francis
Undoubtedly, among the priorities of development goals in each country, achieving
sustainable food security and also adapting to climate change have special importance …

Multi-objective optimization using Taguchi based grey relational analysis in friction stir welding for dissimilar aluminium alloy

S Karumuri, B Haldar, A Pradeep… - International Journal on …, 2024 - Springer
In this study, the focus is on the joining of dissimilar Al alloys specifically AA6082 and
AA5456 plates using friction stir welding (FSW). Several welding input variables, namely tool …

Prediction of the ultimate tensile strength (UTS) of asymmetric friction stir welding using ensemble machine learning methods

S Matitopanum, R Pitakaso, K Sethanan, T Srichok… - Processes, 2023 - mdpi.com
This research aims to develop ensemble machine-learning methods for forecasting the
ultimate tensile strength (UTS) of friction stir welding (FSW). The substance utilized in the …

[HTML][HTML] Analysis of variance and grey relational analysis application methods for the selection and optimization problem in 6061-T6 flange friction stir welding process …

I Sabry, AM Hewidy, M Alkhedher… - International Journal of …, 2024 - Elsevier
A study was carried out to investigate and enhance the effects of friction stir welding on the
mechanical characteristics of a flange composed of 6061-T3 aluminum alloy. The pipes …

[HTML][HTML] A study on the effects of objective weighting methods on TOPSIS-based parametric optimization of non-traditional machining processes

S Chatterjee, S Chakraborty - Decision Analytics Journal, 2024 - Elsevier
Developing advanced engineering materials with enhanced mechanical and metallurgical
properties has caused non-traditional machining (NTM) processes to emerge as cost …

Sustainability-based optimization of dissimilar friction stir welding parameters in terms of energy saving, product quality, and cost-effectiveness

TT Nguyen, CT Nguyen, AL Van - Neural Computing and Applications, 2023 - Springer
The friction stir welding (FSW) process is a prominent approach to fabricate high-quality
welds for materials having low melting temperatures. Welding quality criteria have been …

Investigation of Abrasive Aqua Jet Hole Making (AAJHM) parameters using desirability analysis on Inconel-625 space alloy

R Vijayakumar, N Srirangarajalu… - Journal of Manufacturing …, 2023 - Elsevier
Inconel-625 is one of the high-strength space alloys with wide applications in aerospace
industries and corrosion resistance environments. The applications of Inconel-625 material …