Prediction of milled surface characteristics of carbon fiber-reinforced polyetheretherketone using an optimized machine learning model by gazelle optimizer

W Rajhi, AMM Ibrahim, AHI Mourad, M Boujelbene… - Measurement, 2023 - Elsevier
Motivated by the nonlinear behavior of composite materials under different machining
operations, this work aims at developing an optimized artificial intelligence model to predict …

Testing multiple linear regression systems with metamorphic testing

QH Luu, MF Lau, SPH Ng, TY Chen - Journal of Systems and Software, 2021 - Elsevier
Regression is one of the most commonly used statistical techniques. However, testing
regression systems is a great challenge because of the absence of test oracle in general. In …

Performance of swarm intelligence based chaotic meta-heuristic algorithms in civil structural health monitoring

S Das, P Saha - Measurement, 2021 - Elsevier
Abstract Whale Optimization Algorithm, Eagle Perching Optimization, Dragonfly Algorithm,
Flower Pollination Algorithm, Bird Swarm Algorithm (BSA) and Firefly Algorithm (FA), are few …

Quality prediction of ultrasonically welded joints using a hybrid machine learning model

PG Mongan, EP Hinchy, NP O'Dowd… - Journal of Manufacturing …, 2021 - Elsevier
Ultrasonic metal welding has advantages over other joining technologies due to its low
energy consumption, rapid cycle time and the ease of process automation. The ultrasonic …

Investigation of the effects of ultrasonic assisted drilling on tool wear and optimization of drilling parameters

E Yarar, S Karabay - CIRP Journal of Manufacturing Science and …, 2020 - Elsevier
In this study, ultrasonic-assisted drilling was performed on different heat-treated (T6, T1)
AA6061 to investigate the effects of cutting parameters on forces, surface roughness, and …

Empirical modeling of force and temperature in drilling bone-simulating hybrid composites

M Abusrea, K Ahmadi, A Sadek - Journal of Composite …, 2023 - journals.sagepub.com
Hybrid polymer composites are utilized in biomechanical design and orthopedic surgery
training to imitate the thermomechanical behavior of human bones. Despite extensive …

Modelling and multiresponse optimization for minimizing burr height, thrust force and surface roughness in drilling of ferritic stainless steel

M Günay, T Meral - Sādhanā, 2020 - Springer
Although there have been many studies on the drillability of various grades of stainless
steel, there is no scientific research on the drilling of ferritic stainless steel. Also, the burr at …

Modelling and optimization for thrust force, temperature and burr height in drilling of custom 450

H Gökçe - Experimental Techniques, 2022 - Springer
The low heat conduction values and high mechanical properties of stainless steels, which
have high resistance to corrosion, make them difficult to be machined. Custom 450, a …

An integrated ANN-GA approach to maximize the material removal rate and to minimize the surface roughness of wire cut EDM on titanium alloy

R Karthikeyan, V Senthil Kumar, A Punitha… - Advances in Materials …, 2022 - Taylor & Francis
This investigation was planned to get the optimized material removal rate and surface
roughness of Wire Cut Electric Discharge Machining (WCEDM) on Ti6A4 V by taking into …

Modelling specific energy requirement for a power-operated vertical axis rotor type intra-row weeding tool using Artificial Neural Network

SP Kumar, VK Tewari, AK Chandel, CR Mehta… - Applied Sciences, 2023 - mdpi.com
Specific energy prediction is critically important to enhance field performance of agricultural
implements. It enables optimal utilization of tractor power, reduced inefficiencies, and …