Mechanism Design

GPIUTMD IUT

Graphic Processor Units for Many-particle Dynamics

.

Engineering is based on the fundamental sciences of mathematics, physics, and chemistry. In most cases, engineering involves the analysis of the conversion of energy from some source to one or more outputs, using one or more of the basic principles of these sciences. Solid mechanics is one of the branches of physics which, among others, contains three major sub branches: kinematics, which deals with the study of relative motion; statics. Which is the study of forces and moments, apart from motion; and kinetics, which deals with the action of forces on bodies? The combination of kinematics and kinetics is referred to as dynamics. A mechanism is a mechanical device that has the purpose of transferring motion and/or force from a source to an output using the dynamics rules.

This course describes the appropriate mathematics, kinematics, and dynamics required to accomplish mechanism design.

The course mainly consists of the following topics:

  • Chapter 01 - Introduction To Kinematics And Mechanisms
  • Chapter 02 - Introduction To Kinematic Synthesis: Graphical And Linear Analytical Methods
  • Chapter 03 - Kinematic Synthesis Of Linkages: Advanced Topics
  • Chapter 04 - Curvature Theory
  • Chapter 05 - Dynamics Of Mechanisms: Advanced Concepts
  • Chapter 06 - Spatial Mechanisms-With An Introduction To Robotics

Visitors Counter

© 2009-2024 by GPIUTMD

We have 60 guests and no members online

Latest News

$150,000 AWARD FOR RESEARCHERS, UNIVERSITIES WORLDWIDE

NVIDIA is calling on global researchers to submit their innovations for the NVIDIA Global Impact Award - an annual grant of $150,000 for groundbreaking work that addresses the world's most important social and humanitarian problems. 

Read more ...

Unified Memory in CUDA 6

With CUDA 6, we’re introducing one of the most dramatic programming model improvements in the history of the CUDA platform, Unified Memory. In a typical PC or cluster node today, the memories of the CPU and GPU are physically distinct and separated by the PCI-Express bus. Before CUDA 6, that is exactly how the programmer has to view things. Data that is shared between the CPU and GPU must be allocated in both memories, and explicitly copied between them by the program. This adds a lot of complexity to CUDA programs.

Read more ...

My Apple Style Countdown

© 2009-2015 by GPIUTMD

Word Cloud

ارتقاء امنیت وب با وف بومی