A5080775645- Transportation Safety and Impact Analysis
- Automotive and Human Injury Biomechanics
- Cellular and Composite Structures
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Gear and Bearing Dynamics Analysis
- Assembly Line Balancing Optimization
- Machine Fault Diagnosis Techniques
- Mechanical Engineering and Vibrations Research
- Additive Manufacturing and 3D Printing Technologies
- Advanced machining processes and optimization
- Fault Detection and Control Systems
- Vehicle Dynamics and Control Systems
- Dental materials and restorations
- Color perception and design
- Electric and Hybrid Vehicle Technologies
- Bone Tissue Engineering Materials
- Ergonomics and Musculoskeletal Disorders
- Effects of Vibration on Health
- Manufacturing Process and Optimization
- Innovations in Concrete and Construction Materials
Koneru Lakshmaiah Education Foundation
2020-2022
KLE University
2021
National Institute of Technology Warangal
2017-2018
Patient-specific implants are well known for fixing the fracture bone repairs. However, exact fixation of fabricated implant to patients is a challenging task. To overcome this problem, in present study two kinds designs developed and fabricated. Based on fitting patient’s oral system, best design selected fabricate. Computed tomography (CT) scan data patient anatomy converted into 3D model using DICOM Software “Slicer 3D.” The patient-specific maxillofacial fused filament fabrication (FFF)...
Gearbox functions as a significant transmission module in the mechanical devices spite of its failure prone nature and hence there exists need for diagnosing gearbox faults with an optimized solution new methods should be engaged improving effectiveness, accuracy, reliability few other such parameters. These attempts could meet growing requirements condition monitoring detection gear faults. The feature selection process is notable machine learning to achieve good performance diagnostic...
Abstract The early faulty gear diagnosis is most necessary in the industry. In current decade, with tremendous growth of ANN (Artificial Neural Network), researcher planned to use DL (Deep Learning) methods sketch out faults an stage. Traditional fault method mostly utilizes deep NN (Neural Network) related tine sequence gathered signals. this instance, feature extraction direction inverse time domain signal commonly ignored. To overcome issue, here paper, proposed Weighted Principal...