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Trends in Machine design

ISSN: 2455-3352

Publisher

Focus and Scope

About the Journal

Trends in Machine design [2455-3352(e)] is a peer-reviewed hybrid open-access journal launched in 2014 focused on the rapid publication of fundamental research papers on all areas of Machine Design.

Focus and Scope

  • Kinematics of Machines: Mechanisms simulation, animation, kinematic analysis, Mechanics, Italian Scientists, History of Mechanics, biographies, kinematics, machine theory, design engineering, history.

  • CAD/CAM/CAE Technology: Computer technologies, CAD-CAE technologies, automated systems, Rapid prototyping and manufacturing, Technology integration, Concurrent engineering, Virtual prototyping, and manufacturing CAD/CAM/CAE.

  • Mechatronic Design: Sensors, actuators, controllers, and mechanical components, Integrate Design, Product Data Management, Servo Controller, Mechatronics, Hybrid electric vehicles, Fuzzy logic, Automotive engineering, Uncertainty, Control system synthesis, Fuel economy, Vehicle driving, Intelligent control, Automobiles.

  • Machine Manufacturing Processes: Mechatronics, Humanoid robots, Kinematics, Guidelines, Infrared sensors, Robotics and Automation, Pelvis, Brushes, DC motors, Distributed computing.

  • Brakes, Clutch, Gears, and Springs Design: Energy saving, Regenerative braking, Electric vehicle, Coil spring, emergency braking, Thermal fatigue, Heat cracks, Brake failures, Thermal stress, Fatigue.

  • Screws, Rivets, and Pins: Exponential growth, energy consumption, separating aluminum, mechanical fasteners, Life Cycle Assessment (LCA), ecodesign, impurity levels.

  • Fatigue and Their Failure: Local and global fatigue approaches, Fatigue in metallic alloys, Multistage fatigue, Environment–microstructure interaction, Oxidation, Superalloys, Intergranular cracking, Thermo mechanical fatigue.

  • Belts, Pulleys, Sheaves, and Flywheels: Belts, Pulleys, Gravity, Flywheels, Mechanical engineering, Acceleration, Safety, Libraries, Joining processes, Photovoltaic systems, Induction motors, Velocity control, Power quality, Multilevel inverters, Harmonic analysis, Real-time systems.

  • Machine Learning Algorithms: Machine Learning, Artificial Intelligence, Machine Learning Techniques, Parkinson’s disease, inference system, rotation forest, Haar wavelets, software reliability.

Keywords

  • Flywheels
  • Sheaves
  • Kinematics of Machines
  • Mechatronic Design
  • Machine Learning Algorithms