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Browsing Araştırma Çıktıları / Research Outputs by Subject "PREDICTION"

Now showing items 1-10 of 10

A Novel FMEA Model Using Hybrid ANFIS-Taguchi Method

Boran, Semra; Gokler, Seda Hatice (SPRINGER HEIDELBERG, 2020)

Failure mode and effects analysis (FMEA) is a useful method to analyze and then prioritize failure, but it has many drawbacks. First of them is risk factors, severity, occurrence and detection, which are considered equally ...
An Investigation on Process Capability Analysis for Fused Filament Fabrication

Gunay, Elif Elcin; Velineni, Anusha; Park, Kijung; Kremer, Gul E. Okudan (KOREAN SOC PRECISION ENG, 2020)

Additive manufacturing (AM) has become a popular manufacturing technology today. Many companies have been investing in AM technologies and skill development to carefully integrate them into their capabilities. Despite its ...
Energy Demand Forecasting: Avoiding Multi-collinearity

Tumbaz, M. N. Morgul; Ipek, M. (SPRINGER HEIDELBERG, 2021)

As having one of the major economies and rising population, Turkey's energy demand is increasing substantially. The main objective of this research was to apply ridge regression to estimate Turkey's primary energy consumption. ...
Estimating the effects of heat treatment on aluminum alloy with artificial neural networks

Arslankaya, Seher (ICE PUBLISHING, 2020)

In this study, after T6 heat treatment was applied to two different kinds of aluminum alloy (AA) 6061 formed with different compositions, their mechanical properties and microstructures were observed and then the mechanical ...
Experimental and numerical investigations of crack growth under mixed-mode loading

Iric, Sedat (ICE PUBLISHING, 2020)

Fatigue fracture is the one of the most common failures of mechanical components. This is caused by the initiation and growth of cracks. In this study, mixed-mode I/III fatigue crack growth was studied experimentally and ...
Experimental and numerical study on free field motion due to passage of high-speed train considering different types of soil

Faizan, A. A.; Kirtel, O.; Celebi, E.; Zulfikar, A. C.; Goktepe, F. (KATHOLIEKE UNIV LEUVEN, DEPT WERKTUIGKUNDE, 2020)

A field measurement of ground vibration was performed on the Istanbul-Ankara high speed railway in Sakarya-Turkey, using seismometers. By placing the seismometers at difference distances from the track, the passage of ...
Failure analysis of automotive helical spring

Arslan, E; Genel, K (2023)

As it is known, the suspension helical or coil spring contributes to the vehicle's driving comfort and protects the vehicle parts by softening the impacts depending on the road topography and keeping the suspension system ...
Integration of machine learning techniques and control charts in multivariate processes

Diren, D. Demircioglu; Boran, S.; Cil, I. (SHARIF UNIV TECHNOLOGY, 2020)

Using multivariate control chart instead of univariate control chart for all variables in processes provides more time and labor advantages that are of significance in the relations among variables. However, the statistical ...
Short-Term Wind Speed Forecasting Using Nonlinear Autoregressive Neural Network: A Case Study in Kocaeli-Turkiye

Gidom, M; Kökçam, A; Uyaroglu, Y (2023)

Recently, wind energy has been utilized globally as a renewable, sustainable, and eco-friendly energy source. However, wind energy's unpredictable and stochastic nature influences its entry into the national electrical ...
Synthesis and biological evaluation of novel coumarin-chalcone derivatives containing urea moiety as potential anticancer agents

Kurt, Belma Zengin; Kandas, Nur Ozten; Dag, Aydan; Sonmez, Fatih; Kucukislamoglu, Mustafa (ELSEVIER, 2020)

The increasing interest on new drug discovery is constantly up to date as drugs do not increase survival adequately against increasing cancer cases worldwide. Based on the reported anticancer activity of coumarin, chalcone ...