Trends in Machine Design

Trends in Machine design

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.

• • Kinematics of Machines: Kinematic analysis, mechanism simulation and animation, theory of machines, design engineering of mechanisms, history of mechanism and machine science.
  • CAD/CAM/CAE Technology: Integrated CAD-CAE technologies, virtual prototyping, rapid prototyping and manufacturing, concurrent engineering, technology integration, automated design systems.
  • Mechatronic Design: Integration of sensors, actuators, controllers, and mechanical components, servo controllers, fuzzy logic and intelligent control, control system synthesis under uncertainty, product data management, hybrid electric vehicle design and fuel economy.
  • Robotic Machine Design: Humanoid robot design, robot kinematics, pelvis mechanisms for bipedal robots, DC motor and brush design, infrared sensors in robotic machines.
  • Brakes, Clutches, Gears, and Springs: Brake design and failure analysis, emergency braking, regenerative braking in electric vehicles, heat cracks and thermal stress in brakes, coil spring design, clutch and gear design, energy-saving drive components.
  • Screws, Rivets, Pins, and Mechanical Fasteners: Mechanical fastener design, joining processes, ecodesign, life cycle assessment (LCA) of fastened assemblies, design for disassembly and aluminum recovery.
  • Fatigue and Failure Analysis: Local and global fatigue approaches, fatigue in metallic alloys, multistage fatigue, environment–microstructure interaction, oxidation, intergranular cracking, thermo-mechanical fatigue of superalloys.
  • Belts, Pulleys, Sheaves, and Flywheels: Belt and pulley drive design, sheave design, flywheel energy storage, velocity and acceleration control, drive safety, induction motor–driven transmissions.
  • Machine Learning in Machine Design: Machine learning and artificial intelligence for design optimization, fuzzy inference systems, wavelet-based signal analysis, rotation forest and other ensemble methods for fault diagnosis, reliability prediction.