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Praveen Barmavatu

Universidad Tecnológica Metropolitana

SCHOLARLY PAPERS

3

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85

TOTAL CITATIONS

3

Scholarly Papers (3)

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1.

Optimization of Value-Added Products Using Response Surface Methodology from the Hdpe Waste Plastic by Thermal Cracking

Number of pages: 33 Posted: 23 Sep 2023
Botla Ganesh, Praveen Barmavatu, Michael Pohořelý, Michal Jeremias and Vineet Singh Sikarwar
Osmania University (OU) - Chaitanya Bharathi Institute of Technology, Universidad Tecnológica Metropolitana, University of Chemistry and Technology, Prague, affiliation not provided to SSRN and affiliation not provided to SSRN
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Citation 1

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Bentonite, HDPE, optimization, Response Surface Methodology, Thermal cracking, Waste-to-Oil

2.

Tribological, Mechanical and Microstructure Characteristics of Hybrid Aluminium Matrix Composite Containing Titanium Carbide (Tic) and Graphite Particles

Number of pages: 19 Posted: 24 May 2024
Jeyaprakasam S, Gnanasekaran M, Magibalan S, Ravindra Pratap Singh, Mohanavel V, Sathish Kannan, Jayant Giri, Mohd Sajid Ali and Praveen Barmavatu
affiliation not provided to SSRN, affiliation not provided to SSRN, Nandha Engineering College, GLA University, Bharath Institute of Higher Education and Research, Saveetha School of Engineering, Yeshwantrao Chavan College of Engineering, King Saud University and Universidad Tecnológica Metropolitana
Downloads 33
Citation 2

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Micro hardness, Aluminium composite, Titanium carbide, Graphite, plastic deformation

3.

Experimental investigation and artificial neural network modelling of waste plastic oil–carbon nanotube blends in a compression ignition engine

Number of pages: 73 Posted: 11 Jun 2026
Roshan Raman, Hakan Caliskan, Virendra Sharma, Neeraj Kumar Shukla, Akhil Garg, Praveen Barmavatu and Aman Garg
ITM University - The NorthCap University, Usak University, affiliation not provided to SSRN, King Khalid University, affiliation not provided to SSRN, Universidad Tecnológica Metropolitana and Shantou University
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Abstract:

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Waste plastic oil (WPO), carbon nanotube (CNT) nanoparticles, compression ignition engine, artificial neural network (ANN), Combustion characteristics, emission analysis