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Design of Sequential Electro-Pneumatic System

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International Conference on Emerging Trends in Engineering (ICETE)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 2))

Abstract

This paper provides an automation methodology related to Pneumatic structures to transform the existing conventional drilling machines into automatic drilling machines. The automation technique entails numerous pneumatic devices, pneumatic systems and also some electric and electronic devices. The automation strategy, whilst implanted is believed to bring about reduced cycle time, expenses, improved product high-quality and increase in productivity. By considering a specific undertaking of drilling holes, it is discovered from the existing investigation that by using the technique of conversion the output charge increases four times as compared to that of conventional form of machines.

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References

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Author information

Authors and Affiliations

  1. Mechanical Engineering Department, VNRVJIET, Hyderabad, 500090, India

    Nagashiva Mutyam, T. S. S. Siva Saikumar & Bhanumurthy Soppari

Authors
  1. Nagashiva Mutyam
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  2. T. S. S. Siva Saikumar
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  3. Bhanumurthy Soppari
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Corresponding author

Correspondence to Nagashiva Mutyam .

Editor information

Editors and Affiliations

  1. Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. University College of Engineering, Osmania University, Hyderabad, India

    Kumar Molugaram

  4. Department of Mechanical Engineering, Osmania University, University College of Engineering , Hyderabad, India

    Arkanti Krishnaiah

  5. Department of Informatics, University of Piraeus , Piraeus, Greece

    George A. Tsihrintzis

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Mutyam, N., Siva Saikumar, T.S.S., Soppari, B. (2020). Design of Sequential Electro-Pneumatic System. In: Satapathy, S., Raju, K., Molugaram, K., Krishnaiah, A., Tsihrintzis, G. (eds) International Conference on Emerging Trends in Engineering (ICETE). Learning and Analytics in Intelligent Systems, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-24314-2_72

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  • DOI: https://doi.org/10.1007/978-3-030-24314-2_72

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24313-5

  • Online ISBN: 978-3-030-24314-2

  • eBook Packages: EngineeringEngineering (R0)

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