Sentence examples for mechanism problems from inspiring English sources

The features of the current optimization approach are demonstrated using numerical examples for compliance minimization and compliant mechanism problems.

It allows users to develop and solve complicated planar mechanism problems conveniently using an easy to use Excel spreadsheets as the front end.

It is also shown that the proposed method alleviates numerical difficulties for hinges when it is applied for compliant mechanism problems.

Several 2D and 3D examples are used to demonstrate the effectiveness of the method, including minimization of compliance and complaint mechanism problems.

With the model, tools and procedure in place, we identify and investigate a few four-bar mechanism problems where the cross-sectional non-linearities are significant in predicting better and critical system dynamic characteristics.

Based on the Karush Kuhn Tucker (KKT) necessary conditions, optimality criteria for finding solutions are established and then employed to develop a simple algorithm for one-material minimum mean compliance and compliant mechanism problems.

We also build institutional arrangement for smooth transition mechanism, problem-solving mechanism, independent accounting mechanism in power transition and distribution, full acquisition mechanism and Renewable Portfolio Standard.

This paper describes software called computer assisted reduced mechanism problem solving environment (CARM-PSE) that gives the engineer the ability to rapidly set up, run and examine large numbers of problems comparing detailed and reduced (approximate) chemistry.

However, for other NO generation mechanisms, problems with lethality, functional redundancy or their activation only under precise conditions (for example, normoxia and hypoxia) may be the reason that no generation mutants have been isolated.

Multivariable tuning regulators: the feed-forward and robust control of general servo-mechanism problem.

In mechanism design problems under incomplete information, it is generally difficult to find decision problems that are first best implementable.