Advances in Materials and Structural Design : Select Proceedings of the 5th International Conference, MEMAT 2024 (Lecture Notes in Mechanical Engineering)

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Advances in Materials and Structural Design : Select Proceedings of the 5th International Conference, MEMAT 2024 (Lecture Notes in Mechanical Engineering)

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  • 製本 Paperback:紙装版/ペーパーバック版
  • 言語 ENG
  • 商品コード 9789819558513

Full Description

This volume presents select proceedings from the 5th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2024), held in Nanjing, China. This volume is focused on the rapidly evolving domains of materials science and structural engineering. The book captures cutting-edge research, emerging technologies, and interdisciplinary innovations that are shaping the future of engineering. The book covers topics such as advanced materials, structural engineering, material processing and characterization, simulation and modeling and sustainable engineering. The book serves as a valuable resource for researchers, engineers, and professionals working in materials and structural engineering, offering insights into both theoretical advancements and practical implementations. It also highlights collaborative efforts across academia and industry to address global challenges through innovative engineering solutions.

Contents

Attention-Driven Image Feature Enhancement Method for Roadside BEV Perception.- Preliminary Design of Aircraft Electromechanical Integrated Management System Model Based on Arcadia/Capella.- A robotic system for leak detection and plugging of gas pipelines.- Optimization Design and Verification of Vibration Stability of Unmanned Vehicle Photoelectric Tracking System.- Research on Multi-UAV Collaborative Anti-Crash Systems for Heavy-duty Multi-rotor UAVs.- Testability estimation of electric Operation systems of rocket launchers.- A Novel CAD 3D Model Generation Method based on Sparse Transformer.- Design of Ventilation System for Old Dormitory Restrooms Based on CFD Models.- An Adaptive Kriging Modeling Method Based on Entropy Weight TOPSIS for Structural Optimization.- A Modular Robot Visual Grasping Method Based on Deep Reinforcement Learning.- etc.

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