[HTML][HTML] Modeling of friction stir welding process using adaptive neuro-fuzzy inference system integrated with harris hawks optimizer

TA Shehabeldeen, M Abd Elaziz, AH Elsheikh… - Journal of Materials …, 2019 - Elsevier
Abstract Friction Stir Welding (FSW) has been paid more attention in recent years due to its
efficiency in welding materials that are difficult to weld by conventional fusion welding …

A hybrid ensemble learning model for evaluating the surface roughness of AZ91 alloy during the end milling operation

P Jha, G Shaikshavali, MG Shankar… - Surface Review and …, 2023 - World Scientific
In metal-cutting operations, the surface roughness of the end product plays a significant role.
It not only affects the aesthetic appearance of the end product but also signifies the product's …

A new multitask learning method for tool wear condition and part surface quality prediction

Y Wang, B Qin, K Liu, M Shen, M Niu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deep learning has been gradually used in the field of machining condition monitoring.
However, at present only single-task prediction can be performed, which results in increased …

An effective PSO-LSSVM-based approach for surface roughness prediction in high-speed precision milling

B Li, X Tian - Ieee Access, 2021 - ieeexplore.ieee.org
Surface roughness is one of the important indicators to measure the surface quality of parts
processed, in addition to the cutting parameters affecting the surface roughness, the …

Prediction of surface roughness using fuzzy broad learning system based on feature selection

W Tian, F Zhao, Z Sun, J Zhang, C Gong, X Mei… - Journal of Manufacturing …, 2022 - Elsevier
Surface roughness is the most important indicators for product quality. Many uncertain
factors affect the surface roughness of the workpiece in the machining processes. Fuzzy …

Rough approximation of a preference relation by multi-decision dominance for a multi-agent conflict analysis problem

B Sun, W Ma - Information Sciences, 2015 - Elsevier
Multi-attribute group decision-making (MAGDM) has evoked increasing attention in recent
years. Meanwhile, many valuable approaches have been developed to solve various …

A lazy learning-based language identification from speech using MFCC-2 features

H Mukherjee, SM Obaidullah, KC Santosh… - International Journal of …, 2020 - Springer
Developing an automatic speech recognition system for multilingual countries like India is a
challenging task due to the fact that the people are inured to using multiple languages while …

Interpolation-based virtual sample generation for surface roughness prediction

W Tian, J Zhang, F Zhao, X Feng, X Mei… - Journal of Intelligent …, 2024 - Springer
Surface roughness is an essential technical indicator for the surface quality of machined
parts and significantly affects the service performance of the products. Accurate prediction of …

Surface roughness prediction as a classification problem using support vector machine

I Abu-Mahfouz, O El Ariss… - … International Journal of …, 2017 - Springer
In order to achieve a high level of product quality, it is imperative to gain a high degree of
predictability especially in automated manufacturing setup. Surface finish is one of the most …

Broad learning system based on binary grey wolf optimization for surface roughness prediction in slot milling

W Tian, F Zhao, C Min, X Feng, R Liu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Surface roughness is considered to be one of the most significant indicators for evaluating
machining quality. Manufacturing industries generally aim to achieve high product quality …