Başlık için Fen Bilimleri Enstitüsü listeleme
Toplam kayıt 22, listelenen: 11-22
-
Hot forging process simulation of a part made of 304L
(Türk-Alman Üniversitesi Fen Bilimler Enstitüsü, 2021)The shift away from diesel cars in automotive industry results in new challenges in the industry. As a result of this shift, manufacturers of gasoline engine parts must use dif ferent materials for same geometries for ... -
Increasing metal utilization by improved drawbead design in deep drawing operations
(Türk-Alman Üniversitesi, 2013)The deep drawing process is a commonly used forming process in several branches of industry such as the automotive industry, aircraft industry and the household appliances industry. Deep drawing tools are used to produce ... -
Investigating the effects of post-mold cure on warpage in electronic packaging processes
(Türk-Alman Üniversitesi Fen Bilimler Enstitüsü, 2023)Post-mold Cure ist ein häufig angewandtes Verfahren im Bereich Electronic Packaging, bei dem duromere Teile nach der Formgebung erneut erhöhten Temperaturen ausgesetzt werden, um eine höhere Vernetzungsdichte und damit ... -
Investigation of longitudinal distortion occurring in Acrylonitrile butadiene styrene copolymer (ABS) extrusion profiles
(Türk-Alman Üniversitesi, 2019)Bu çalışmada, akrilonitril-bütadien-stiren (ABS) ekstrüzyon profillerinin boylamsal distorsiyonu deneysel olarak incelenmiştir. Boyuna bozulma, çoğunlukla ekstrüzyon profillerinde görülen bir sorundur. Muz gibi görünen ... -
Investigation of the bonding mechanisms of aluminum chips during SPD-and FAST-based solid-state recycling processes
(Türk-Alman Üniversitesi Fen Bilimler Enstitüsü, 2023)Considering the reduction of resources and environmental concerns, the recycling of aluminum alloys is gaining more importance day by day. In this context, especially in light of the recycling of aluminum chips, which ... -
Layshaft design & material characterization of a heavy duty vehicle's manual transmission
(Türk-Alman Üniversitesi, 2017)Bu tez, ağır vasıtalar için manuel transmisyonlarında, karşıt mil ya da ara mil için optimum malzeme seçimi ve dizayn optimizasyonu yapılmasında yön göstermeyi amaçlamıştır. Tez kapsamında, amaçlanan manuel transmisyonun ... -
Material selection for a strut bearing using finite elements analysis
(Türk-Alman Üniversitesi, 2019)Malzeme seçimi her ürün için çok önemlidir. Günümüzde çok sayıda olası malzeme mevcuttur. Bu nedenle beklentileri karşılamak adına optimum tasarım ve optimum malzeme seçimi ürünü güvenli, konforlu ve karlı yapar. Plastikler ... -
Numerical investigation of the effect of process parameters to optimize a superplastic forming process
(Türk-Alman Üniversitesi, 2017)Superplastic forming (SPF) is an alternative manufacturing method to produce complex shapes in one step without assembling operations which are not possible with other methods. SPF process enables to get near net shape ... -
Predicting ground reaction forces during normal gait by solving tracking optimization problem
(Türk-Alman Üniversitesi Fen Bilimler Enstitüsü, 2024)Ground Reaction Force (GRF) is a central biomechanical parameter in gaitanalysis, critical for understanding human locomotion mechanics. Traditional methods for GRF data acquisition, though precise, are often constrained ... -
Prediction of gait kinetics from joint angles using machine learning in patients with cerebral palsy
(Türk-Alman Üniversitesi Fen Bilimler Enstitüsü, 2023)Joint moment and ground reaction force (GRF) during gait provide valuable information for clinical decision-making in patients with cerebral palsy (CP). Joint moments are calculated based on GRF using inverse dynamics ... -
Prediction of psychological disorder levels with deep learning models based on electroencephalography (EEG) signals
(Türk-Alman Üniversitesi Fen Bilimler Enstitüsü, 2024)Psychological disorders, diverse and complex, paint a spectrum of challenges across the human experience. Depression is one of the life-threatening psychological disorders that impacts millions of individuals worldwide. ... -
Risk analysis by using artificial neural networks at a plastic production plant
(Türk-Alman Üniversitesi Fen Bilimler Enstitüsü, 2024)Bu çalışma, plastik üretim tesislerinde iş sağlığı ve güvenliği risklerini belirlemeyi ve bu risklere karşı otomasyon sistemlerini kullanarak korunma sağlamayı amaçlamaktadır. Çalışmanın temel yöntemi, FMEA (Failure ...