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Tamilselvan Pachiannan

Jiangsu University

Xuefu Rd. 301

Xhenjiang, 212013

China

SCHOLARLY PAPERS

8

DOWNLOADS

254

TOTAL CITATIONS

2

Scholarly Papers (8)

1.

Harnessing the potential of n-pentanol usage in internal combustion engines: An approach to actualizing cleaner combustion at low load

Number of pages: 55 Posted: 09 Dec 2025
Jiangsu University, affiliation not provided to SSRN, Jiangsu University, Jiangsu University, Redeemer's University, Cape Peninsula University of Technology, Jiangsu University - Institute for Energy Research and Jiangsu University
Downloads 48 (1,109,210)

Abstract:

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Internal combustion engine, N-pentanol, Combustion efficiency, double injection, Low load

2.

Experimental Investigation of the Two-Stage Ignition Delay and Flame Structure of Pentanol/N-Dodecane Binary Fuel

Number of pages: 32 Posted: 07 May 2022
Jiangsu University, Jiangsu University, Jiangsu University, Jiangsu University, Jiangsu University, Jiangsu University - Institute for Energy Research and Jiangsu University
Downloads 46 (1,109,210)

Abstract:

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Pentanol, First-stage ignition delay, Second-stage ignition delay, Flame lift-off length, Formaldehyde

3.

Combustion and Emission Characteristics of High N-Pentanol Blends at Low Load: A Pathway to Eco-Friendly Internal Combustion Engine Operation

Number of pages: 50 Posted: 16 Nov 2024
Sunday B. Ogunjide, Wenjun Zhong, Tamilselvan Pachiannan and Yizi Zhu
Jiangsu University, Jiangsu University, Jiangsu University and Jiangsu University
Downloads 44 (1,157,785)
Citation 2

Abstract:

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biofuel, combustion, Emission, injection timing, low engine load

4.

Multiple-Objective Optimisation of High Volume of N-Pentanol for Enhanced Combustion Efficiency and Reduced Engine-Out Emissions at Low Load

Number of pages: 54 Posted: 18 Apr 2025
Sunday B. Ogunjide, Wenjun Zhong, Tamilselvan Pachiannan and Yizi Zhu
Jiangsu University, Jiangsu University, Jiangsu University and Jiangsu University
Downloads 31 (1,345,526)

Abstract:

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Oxygenated fuel, n-pentanol, thermodynamic conditions, combustion, low load

5.

Assessing the Impacts of Multiple Injections of High N-Pentanol Blend on Low Load Engine Performance and Emissions Towards Improved Efficiency and a Cleaner Future

Number of pages: 43 Posted: 11 Apr 2025
Sunday B. Ogunjide, Wenjun Zhong, Tamilselvan Pachiannan and Yizi Zhu
Jiangsu University, Jiangsu University, Jiangsu University and Jiangsu University
Downloads 29 (1,345,526)

Abstract:

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n-Pentanol, multiple injection, low engine load, combustion, injection timing.

6.

Multiple-Objective Optimization of High Volume of N-Pentanol for Enhanced Combustion Efficiency and Reduced Engine-Out Emissions at Low Load

Number of pages: 40 Posted: 06 May 2025
Jiangsu University, Jiangsu University, Jiangsu University, Jiangsu University, Jiangsu University - Institute for Energy Research and Jiangsu University
Downloads 25 (1,399,036)

Abstract:

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Oxygenated fuel, n-pentanol, thermodynamic conditions, combustion, low load

7.

Real-time engine operation prediction using machine learning towards maximizing high usage of n-Pentanol for enhanced efficiency and reduced engine-out emissions

Number of pages: 98 Posted: 05 Mar 2026
Jiangsu University, affiliation not provided to SSRN, Jiangsu University, affiliation not provided to SSRN, Jiangsu University, Redeemer's University, Cape Peninsula University of Technology, affiliation not provided to SSRN, Jiangsu University - Institute for Energy Research and Jiangsu University
Downloads 22 (1,448,301)

Abstract:

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n-Pentanol, internal combustion engine, Machine Learning, emissions reduction, combustion efficiency

8.

A dataset-agnostic machine learning framework for real-time optimization of 60% n-Pentanol/diesel combustion in compression ignition engines

Number of pages: 32 Posted: 15 Jun 2026
Jiangsu University, Jiangsu University, affiliation not provided to SSRN, Jiangsu University, Redeemer's University, Cape Peninsula University of Technology, affiliation not provided to SSRN, Jiangsu University - Institute for Energy Research and Jiangsu University
Downloads 9

Abstract:

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n-Pentanol, Machine learning, engine optimization, neural network, emissions prediction