📢 Latest Update: UGC Discontinues CARE Journal Listing: New Guidelines for Selecting Peer-Reviewed Journals View Now

Journal of Aerospace Engineering & Technology Cover

Journal of Aerospace Engineering & Technology

E-ISSN: 2231-038X | P-ISSN: 2348-7887 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Aerospace Engineering & Technology Journal of Aerospace Engineering & Technology (JOAET) is a peer-reviewed hybrid open-access journal launched in 2011, focused on the rapid publication of fundamental and multidisciplinary research papers on all areas of Aerospace Engineering & Technology.

View full focus & scope More

Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

43

Published Articles (2024)

17.26

Days Acceptance Time

42.74

Day Publication Time

Total Visits

Journal Information

Title: Journal of Aerospace Engineering & Technology
Abbreviation: joaet
Issues Per Year: 3 Issues
P-ISSN: 2348-7887
E-ISSN: 2231-038X
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JoAET
Starting Year: 2011
Subject: Aerospace Engineering
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

View Full Editorial Board

joaet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Dilip A. Shah, Senior Professor and Dean

Hindustan University, Chennai, India,

Email :

Latest Articles

Ahead of Print

Effect of Leading-Edge Roughness on the Aerodynamic Characteristics of the Wind Turbine blade

Leading-Edge Roughness (LER) strongly dictates boundary layer transition and performance degradation on an airfoil operating at transitional Reynolds numbers, an aerodynamic regime where shear-layer stability mechanisms remain highly complex.

Leading-edge roughness, Passive flow control, Aerodynamic performance, Wind turbine, Stall delay

Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios

A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area.

Transfer Learning, Image Classification, Autonomous Drone, Pretrained Networks, Image Classification Pipeline, YOLOv8l, UAV Landing, Object Detection, Autonomous Aerial Systems

Metamaterial-Based Thermal Shielding Structures for Reusable Hypersonic Space Transportation Systems

The rapid development of reusable hypersonic space transportation systems has intensified the need for advanced thermal protection technologies capable of withstanding extreme aerodynamic heating conditions encountered during atmospheric re-entry and sustained hypersonic flight.

Metamaterials; Thermal Protection Systems; Hypersonic Vehicles; Reusable Space Transportation; Ultra-High-Temperature Ceramics; Aerospace Structures.

Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry

Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management.

Predictive Maintenance, XGBoost, Remaining Useful Life (RUL), Conformal Prediction, NASA C-MAPSS, Industrial IoT, Uncertainty Quantification, Cost Optimization, Aviation Safety

Effect of Blunt Truncation in an Aerospike Nozzle

Aerospike nozzles are gaining attention as a more advanced alternative to conventional bell nozzles, mainly because they can perform efficiently across a wide range of altitude conditions.

Aerospike, Spike Configurations, Truncation, Base Drag, Method of Characteristics, Mach Number, Velocity, Blunt, Centreline Pressure, Shadowgraph, Flow separation.

A Study on the Use of AI and Sensors in Aerospace

The synergistic combination of modern sensors including artificial intelligence (AI) has significantly changed the aeronautics industry's ongoing quest for increased safety, efficiency, and autonomy.

Aerospace, Sensors, AI, Manufacturing, Maintenance, Operation,