&lt;title&gt;Technique for the measurement of the in-situ development rate&lt;/title&gt;

Drennan, P.G.; Smith, Bruce W.; Alexander, David W.

doi:10.1117/12.174145

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…The LM algorithm is used for curve fitting [13][14][15] and many other optimization problems [21][22][23][24]. Due to its desirable convergence capabilities, in many optimization applications, the LM method is usually preferred over many other optimization techniques [25][26][27][28][29].…”

Section: Levenberg-marquardt Algorithmmentioning

confidence: 99%

Development of an Experimental Model for a Magnetorheological Damper Using Artificial Neural Networks (Levenberg-Marquardt Algorithm)

Raizada

Singru

Krishnakumar

et al. 2016

Advances in Acoustics and Vibration

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This paper is based on the experimental study for design and control of vibrations in automotive vehicles. The objective of this paper is to develop a model for the highly nonlinear magnetorheological (MR) damper to maximize passenger comfort in an automotive vehicle. The behavior of the MR damper is studied under different loading conditions and current values in the system. The input and output parameters of the system are used as a training data to develop a suitable model using Artificial Neural Networks. To generate the training data, a test rig similar to a quarter car model was fabricated to load the MR damper with a mechanical shaker to excite it externally. With the help of the test rig the input and output parameter data points are acquired by measuring the acceleration and force of the system at different points with the help of an impedance head and accelerometers. The model is validated by measuring the error for the testing and validation data points. The output of the model is the optimum current that is supplied to the MR damper, using a controller, to increase the passenger comfort by minimizing the amplitude of vibrations transmitted to the passenger. Besides using this model for cars, bikes, and other automotive vehicles it can also be modified by retraining the algorithm and used for civil structures to make them earthquake resistant.

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Section: Levenberg-marquardt Algorithmmentioning

confidence: 99%

Development of an Experimental Model for a Magnetorheological Damper Using Artificial Neural Networks (Levenberg-Marquardt Algorithm)

Raizada

Singru

Krishnakumar

et al. 2016

Advances in Acoustics and Vibration

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Quarter-micron chemically amplified reaction image determination using arrested development

Rhyner

Taylor

1997

Journal of Vacuum Science &Amp; Technology B: Microelectronics and Nanometer Structures Processing, Measurement, and Phenomena

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Polymer structure effect on dissolution characteristics and acid diffusion in chemically amplified deep ultraviolet resists J.An experimental technique is described to determine the reaction image in the negative-tone, chemically amplified resist, Shipley SAL 605, for a specific set of exposure and thermal processing conditions. Isolated 0.25-m line formation at varying arrested development times is used in this study to assign an ''effective'' dose to locations within the resist through bulk dissolution rate data. This method was validated under different development conditions resulting in calculated and experimental line width agreement with an average deviation of 27 nm, and sidewall angle within 4°for developer puddle times between 20 and 113 s. End-on development provides unique access to determine chemically amplified reaction processing effects by diminishing the role of development. A comparison between the arrested development and end-on developed cross-sections indicates a strong development effect contributing to the sidewall angle at various puddle times.

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<title>Technique for the measurement of the in-situ development rate</title>

Cited by 2 publications

References 6 publications

Development of an Experimental Model for a Magnetorheological Damper Using Artificial Neural Networks (Levenberg-Marquardt Algorithm)

Development of an Experimental Model for a Magnetorheological Damper Using Artificial Neural Networks (Levenberg-Marquardt Algorithm)

Quarter-micron chemically amplified reaction image determination using arrested development

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