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Toplam kayıt 12, listelenen: 1-10
Microstructural and mechanical properties of friction stir welded pure lead
(National Institute of Science Communication and Information Resources (NISCAIR), 2018)
The present study focuses on the applicability of friction stir welding to pure Pb plates. The joint performances are evaluated by optical microscopy, microhardness measurements, notch impact tests and three point bending ...
Experimental study on accelerometer-based ladle slag detection in continuous casting process
(Springer London, 2020)
The share of continuous casting method is increased day by day among steel production methods. In continuous casting plants, steel production is carried out using BOF (basic oxygen furnace) or EAF (electric arc furnace). ...
Quantized control settings based tuning of a heaving wave energy converter in irregular seas
(Taylor and Francis Inc., 2016)
The increasing awareness of environmental issues attracts more attention on environmentally friendly energy sources. This leads to increasing research on effective use of renewable energy sources. Among them, wave energy ...
Artificial Intelligence Applications for Friction Stir Welding: A Review
(Korean Institute of Metals and Materials, 2020)
Advances in artificial intelligence (AI) techniques that can be used for different purposes have enabled it to be used in many different industrial applications. These are mainly used for modeling, identification, optimization, ...
A review study on ladle slag detection technologies in continuous casting process
(International Advanced Researches and Engineering Journal, 2019)
In steel production, continuous casting method using BOF or EAF is increasing day by day. However, the complex nature of the continuous casting process poses many challenges for steelmakers. During the general steel ...
The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system
(Elsevier, 2021)
With the fourth industrial revolution, which has become increasingly widespread in the manufacturing industry, traditional maintenance has been replaced by the industrial internet of things (IIoT) based on condition ...
The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013)
(Springer, 2022)
In this article, the adaptive neuro-based fuzzy inference system (ANFIS) model is developed to estimate the surface roughness (Ra) and tool vibrations (Acc) of AA6013 aluminum alloy during dry turning. Turning experiments ...
A Study On Prediction of Surface Roughness and Cutting Tool Temperature After Turning For S235JR Steel
(Konya Mühendislik Bilimleri Dergisi, 2019)
In machining technologies, the most important criterion taken into consideration whenevaluating the product quality is seen as the surface roughness. In the consideration of productionquality and cost, tool wear is one of ...
Recent developments in computer vision and artificial intelligence aided intelligent robotic welding applications
(Springer, 2023)
The welding process, which is an indispensable part of the manufacturing industry, has been in demand for years and continues to attract the attention of researchers. With the transition to Industry 4.0, the welding process ...
Modeling and Optimization of a Peano-HASEL Actuator Peristaltic Pump
(National Institute of Science Communication and Policy Research, 2023)
Peano-Hasel (hydraulically amplified self-healing electrostatic) pumps are crucial devices with unique mechanisms and versatile applications. They simulate muscle contractions to move fluids or materials through tubes. The ...