Mr. Dnyanesh A. Anaspure Profile

Dnyanesh A. Anaspure

at Univ of Alabama

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 29 July 2004 Paper

Use of genetic algorithms to tune vibration dampers for multi-mode systems with complex periodic inputs

Shaochun Ye, Dnyanesh Anaspure, Keith Williams, Kenneth Graham, Charles Karr

Proceedings Volume 5386, (2004) https://doi.org/10.1117/12.540236

KEYWORDS: Combustion, Genetic algorithms, Complex systems, Chromium, Kinematics, Vibration control, Structural design, Computer simulations, Systems modeling, Mechanical engineering

Read Abstract +

Crankshaft dampers are a common approach for controlling engine crankshaft vibration. The optimum damper parameters are relatively easy to determine for the case of single-mode systems and multi-mode systems with a dominant mode, provided that the primary system is undamped and the system response is linear. For nonlinear systems such as internal combustion engines that experience complex periodic inputs, the true optimum damper parameters may not be apparent. The crank kinematics introduce nonlinear torques acting on the crankshaft. In addition, the gas torque is, in some sense, a state-dependent input, as it is a function of not only the energy addition per cycle, but also of the crank angle. It is reasonable to expect that truly optimal damper parameters may not be obtained using classical approaches. As an alternative, genetic algorithms may be used to determine optimum crankshaft damper settings for this complex system. This paper will present the modeling of an internal combustion engine from the perspective of determining crankshaft vibrations. Optimum damper settings are then determined using a genetic algorithm. Simulation results are shown that compare the achievable vibration reduction in an engine equipped with a GA-tuned damper and the reduction achieved with a conventional passive damper.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years