[HTML][HTML] Surface roughness prediction of machined aluminum alloy with wire electrical discharge machining by different machine learning algorithms

M Ulas, O Aydur, T Gurgenc, C Ozel - Journal of Materials Research and …, 2020 - Elsevier
Aluminum alloys are preferred in aviation, aerospace and automotive industries because of
their high strength and durability compared to their lightness. Precision production of parts is …

An extra tree regression model for discharge coefficient prediction: novel, practical applications in the hydraulic sector and future research directions

MM Hameed, MK AlOmar, F Khaleel… - Mathematical …, 2021 - Wiley Online Library
Despite modern advances used to estimate the discharge coefficient (Cd), it is still a major
challenge for hydraulic engineers to accurately determine Cd for side weirs. In this study …

A review of studies on estimating the discharge coefficient of flow control structures based on the soft computing models

M Haghbin, A Sharafati - Flow Measurement and Instrumentation, 2022 - Elsevier
The discharge coefficient (Cd) plays a vital role in the accurate design and safety of weirs,
spillways, and dams. In the last decade, Soft Computing (SC) models, which showed …

Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study

MM Hameed, MK AlOmar, AAA Al-Saadi… - … Research and Risk …, 2022 - Springer
For effective water resource management, water budgeting, and optimal release discharge
from a reservoir, the accurate prediction of daily inflow is critical. An attempt has been made …

Extreme learning machine and support vector regression wear loss predictions for magnesium alloys coated using various spray coating methods

T Gurgenc, O Altay, M Ulas, C Ozel - Journal of Applied Physics, 2020 - pubs.aip.org
Magnesium alloys are popular in the aerospace and automotive industries due to their light
weights and high specific strengths. The major disadvantages of magnesium alloys are their …

A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning …

M Ulas, O Altay, T Gurgenc, C Özel - Friction, 2020 - Springer
Wear tests are essential in the design of parts intended to work in environments that subject
a part to high wear. Wear tests involve high cost and lengthy experiments, and require …

A novel approach using CFD and neuro-fuzzy-firefly algorithm in predicting labyrinth weir discharge coefficient

S Shafiei, M Najarchi, S Shabanlou - Journal of the Brazilian Society of …, 2020 - Springer
In this paper, for the first time, to model the discharge coefficient of labyrinth weirs, the
evolutionary firefly algorithm (FFA) is used for optimizing the membership functions of the …

Prediction of the discharge coefficient in compound broad-crested-weir gate by supervised data mining techniques

M Nouri, P Sihag, O Kisi, M Hemmati, S Shahid… - Sustainability, 2022 - mdpi.com
The current investigation evaluated the discharge coefficient of a combined compound
rectangular broad-crested-weir (BCW) gate (Cdt) using the computational fluid dynamics …

Developing a model for multi-objective optimization of open channels and labyrinth weirs: Theory and application in Isfahan Irrigation Networks

A Ferdowsi, M Valikhan-Anaraki, SF Mousavi… - Flow Measurement and …, 2021 - Elsevier
Finding an optimal design for hydraulic structures and devices, which work together in
irrigation networks, can be formulated as a multi-objective optimization problem. In this …

Discharge performance of plan view of multi-cycle W-form and circular arc labyrinth weir using machine learning

D Dutta, A Mandal, MS Afzal - Flow Measurement and Instrumentation, 2020 - Elsevier
Weirs serve the dual purpose of flow measurement and flow regulation in open channels. In
the past, weirs of improved plan form have been used to increase the discharge through the …