Sürdürülebilir Kalkınma Amaçları

• 1

• MakaleAçık Erişim2018/r/bayburt/15250
  Application of statistical process control method to monitor wear and broken tooth faults in spur gears using vibration data

  Arslan, Hakan; Maraş, Sinan

  Gears are machine elements used extensively in many areas of industry to transmit power and motion. Damage occurs due to working under compulsive conditions effective gear fault detection is crucial to prevent greater drawbacks and economic losses. The objective of this study is to monitor the existence of different types of gear defects by examining changes in the vibrations of spur gears due to faults using vibrations analysis and statistical process control methods. For this purpose, a closed-loop test rig was constructed. Firstly, good gears were attached to the test assembly and vibrations data which received at radial direction via sensors on the bearings were recorded by operating the system at various loading and number of cycle’s conditions. Thus, a reference spectrum was obtained. Then the system was operated with artificial wear and fracture which were created on the surfaces of spur gears at various loading and number of cycles conditions. Vibrations data which were received from the bearings were recorded. These data were plotted on statistical control carts and frequency spectrum. Graphs of data obtained from good gears and defective gears were compared with each other. Thus it was possible to detect the existence of worn gear, one tooth broken pinion gear and one tooth broken from each pinion and wheel gears.

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  AtıfTR Dizin1

  İncele
• MakaleAçık Erişim2018Scopus SJRQ2/r/bayburt/13656
  Free vibration analysis of fiber metal laminated straight beam

  Maraş, Sinan; Yaman, Mustafa; Sansveren, Mehmet Fatih; Reyhan, Sina Karimpour

  In recent years, studies on the development of new and advanced composite materials have been increasing. Among these new technological products, Fiber Metal Laminates (FML), and hybrid structures made of aluminium, carbon, glass or aramid fiber, are preferred especially in the aircraft industry due to their high performance. Therefore, free vibration analysis is necessary for the design process of such structures. In this study, the vibration characteristics of FML for clamped-free boundary conditions were investigated experimentally and numerically. Firstly, numerical results were obtained using Finite Element Method (FEM) and then these results were compared with the experimental results. It was seen that the numerical results were in good agreement with the experimental results. As the theoretical model was justified, the effects of various parameters such as number of layers, fiber orientations, and aluminium layer thickness on the in-plane vibration characteristics of the FML straight beam were analysed using FEM. Thus, most important parameters affecting the vibration characteristics of the hybrid structures were determined.

  AtıfScopus21·WoS18·OpenAlex17

  İncele
• MakaleAçık Erişim2014/r/bayburt/14484
  DETERMINATION OF THE WEAR FAULT IN SPUR GEAR SYSTEM USING STATISTICAL PROCESS CONTROL METHOD

  Maras, Sinan; Arslan, Hakan

  Vibration analysis is one of the early warning methods widely used in obtaining information about faults occurring on the machine elements and structures. In this method, gear fault detection can be performed by analyzing of the vibration test results using signal processing, artificial intelligence and statistical analysis methods. The objective of this study is detection the existence of wear by examining changes in the vibrations of spur gears due to wear faults in statistical process control carts. In this study, artificial wear was created on the surfaces of spur gears in order to be examined in gears test rig. Then, these gears were attached and vibrations data were recorded by operating the system at various loading and number of cycles conditions. Detection of fault was demonstrated by analyzing undeformed and worn gears data in statistical process control carts by means of real-time experimental studies.

  AtıfWoS1·OpenAlex2

  İncele