Dr. Ramesh Rajguru

Employment

• Dwarkadas J Sanghvi College of Engineering Assistant Professor
  2011 - Present

Education

• Dwarkadas J Sanghvi College of Engineering Ph.D. ( Technology), ME (Mechanical Engineering)
  2011 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (61)

• Study of Performance Ratio of Newly Developed High-Performance Airfoil with Respect to the Airborne Wind Energy System
  2024 DOI: 10.1007/978-981-97-5415-1_29
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• Design of an Electronic Continuously Variable Transmission Actuation Mechanism to Optimize Efficiency
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-19-7971-2_55
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• Optimization of Machining Parameters for Surface Roughness in the End Milling of Hybrid Composite Using Response Surface Methodology
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-19-7971-2_42
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• Operational Logic for Electronic Continuously Variable Transmission Using PID Control
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-19-7971-2_33
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• Fabrication of Fibre-Reinforced Composites Using Vacuum Infusion Process and Testing
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-19-7971-2_44
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• Impact of Process Parameters on Machining-Induced Micro-Hardness in Dry End Milling of Inconel 625 Using Coated Tool
  Lecture Notes in Mechanical Engineering 2023 DOI: 10.1007/978-981-19-7971-2_49
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• A study of micro hardness in the machining of Inconel 625 using TiAlSiN coated tools under dry cutting conditions
  Advances in Materials and Processing Technologies 2022 DOI: 10.1080/2374068X.2022.2100035
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• Investigating the effect of cutting conditions and tool geometry on surface roughness in dry end milling of Inconel 625 using TiAlSiN ultra hard coated solid carbide tool
  Advances in Materials and Processing Technologies 2022 DOI: 10.1080/2374068X.2020.1855964
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• Predictive Modeling of Surface Roughness in the Machining of Inconel 625 Using Artificial Neural Network
  Proceedings of International Conference on Intelligent Manufacturing and Automation 2020
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• Predictive Modeling of Surface Roughness in the Machining of Inconel 625 Using Artificial Neural Network
  Lecture Notes in Mechanical Engineering 2020 DOI: 10.1007/978-981-15-4485-9_3
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