Ensuring Optimal Performance and Longevity For Milling Technology

A tétel rövid nézete
dc.contributor.advisorDeák, Krisztián
dc.contributor.authorDik, Walid Khalid M
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2026-02-02T16:38:19Z
dc.date.available2026-02-02T16:38:19Z
dc.date.created2025-11-24
dc.description.abstractThis thesis examines the key factors that affect the performance, reliability, and service life of milling machines, emphasizing the importance of proper maintenance in modern manufacturing. It reviews the main types and components of milling machines and identifies common failures such as tool wear, chatter, overheating, and dimensional inaccuracies. The work evaluates several diagnostic and condition-monitoring techniques—including vibration analysis, acoustic emission monitoring, infrared thermography, spindle current sensing, and NDT methods—that enable early detection of faults. Various maintenance strategies, such as preventive, predictive, corrective maintenance, TPM, FMEA, RBM, and AHP, are compared to highlight how data-driven approaches reduce downtime and cost. The thesis also describes essential repair procedures like spindle repair, alignment, calibration, and electrical system troubleshooting. Overall, it concludes that predictive maintenance combined with continuous monitoring offers the most effective path to ensuring sustainable, accurate, and cost-efficient milling operations.
dc.description.courseMechanical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent47
dc.identifier.urihttps://hdl.handle.net/2437/403939
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectMilling Machine
dc.subjectPredictive Maintenance
dc.subjectDiagnostic Tool
dc.subjectTool Wear
dc.subjectvibration analysis
dc.subjectSpindle Repair
dc.subject.dspaceEngineering Sciences
dc.titleEnsuring Optimal Performance and Longevity For Milling Technology
dc.title.translatedA MARÓTECHNOLÓGIA OPTIMÁLIS TELJESÍTMÉNYÉNEK ÉS ÉLETTARTAMÁNAK BIZTOSÍTÁSA
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
Dik Walid thesis for DEA.pdf
Méret:
1.64 MB
Formátum:
Adobe Portable Document Format
Leírás:
Megjelenítés
Engedélyek köteg
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
license.txt
Méret:
1.69 KB
Formátum:
Item-specific license agreed upon to submission
Leírás:
Letöltés
Gyűjtemények
Theses (Department of Mechanical Engineering)