Published
2025-11-24
Issue
Section
Original Research Article
License
Copyright (c) 2025 Manjusha Tatiya, Babaso A. Shinde, Navnath B. Pokale, Mahesh Sarada, Mahesh M. Bulhe, Govindrajan Murali, Vidhi Rajendra Kadam, Anant Sidhappa Kurhade, Shital Yashwant Waware

This work is licensed under a Creative Commons Attribution 4.0 International License.
The Author(s) warrant that permission to publish the article has not been previously assigned elsewhere.
Author(s) shall retain the copyright of their work and grant the Journal/Publisher right for the first publication with the work simultaneously licensed under:
OA - Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). This license allows for the copying, distribution and transmission of the work, provided the correct attribution of the original creator is stated. Adaptation and remixing are also permitted.

This license intends to facilitate free access to, as well as the unrestricted reuse of, original works of all types for non-commercial purposes.
How to Cite
AI-Driven Process Control for Enhancing Safety and Efficiency in Oil Refining
Manjusha Tatiya
Department of Artificial Intelligence and Data Science, Indira College of Engineering and Management, Indira Chanakya Campus (ICC), Parandwadi, Pune - 410506, Maharashtra ,India
Babaso A. Shinde
Department of Artificial Intelligence and Data Science, Marathwada Mitramandal’s Institute of Technology, Lohgaon, Pune - 411047, Affiliated to Savitribai Phule Pune University, Maharashtra, India
Navnath B. Pokale
Department of Artificial Intelligence and Data Science, Dr. D. Y. Patil Institute of Technology, Sant Tukaram Nagar, Pimpri, Pune, 411018, Maharashtra, India; Dnyaan Prasad Global University (DPGU), School of Technology and Research - Dr. D. Y. Patil Unitech Society, Sant Tukaram Nagar, Pimpri, Pune, 411018, Maharashtra, India
Mahesh Sarada
Department of First Year Engineering, PCET’s Pimpri Chinchwad College of Engineering and Research, Ravet, Pune - 412101, Maharashtra ,India
Mahesh M. Bulhe
Department of Electronics and Telecommunication Engineering, Bharati Vidyapeeth College of Engineering, Navi Mumbai – 400614, Maharashtra, India
Govindrajan Murali
Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur (Dt) - 522502, Andhra Pradesh, India
Vidhi Rajendra Kadam
Department of Computer Engineering, Bharati Vidyapeeth College of Engineering, Navi Mumbai – 400614, Maharashtra, India
Anant Sidhappa Kurhade
Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Sant Tukaram Nagar, Pimpri, Pune, 411018, Maharashtra, India; a.kurhade@gmail.com ; Dnyaan Prasad Global University (DPGU), School of Technology and Research - Dr. D. Y. Patil Unitech Society, Sant Tukaram Nagar, Pimpri, Pune, 411018, Maharashtra, India
Shital Yashwant Waware
Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Sant Tukaram Nagar, Pimpri, Pune, 411018, Maharashtra, India; a.kurhade@gmail.com 9 Dnyaan Prasad Global University (DPGU), School of Technology and Research - Dr. D. Y. Patil Unitech Society, Sant Tukaram Nagar, Pimpri, Pune, 411018, Maharashtra, India
DOI: https://doi.org/10.59429/ace.v8i4.5792
Keywords: Artificial intelligence; predictive maintenance; process optimization; digital twin; oil refining; anomaly detection
Abstract
Artificial Intelligence (AI) is reshaping the oil refining sector by improving process safety, energy efficiency, and product quality. This work evaluates real-time AI applications such as predictive maintenance, anomaly detection, and autonomous process optimization using machine learning, deep learning, reinforcement learning, and natural language processing. A systematic review of recent industrial case studies and simulations shows AI can reduce equipment downtime, emissions, and operational costs while enhancing decision-making and regulatory compliance. Despite these advantages, the adoption of AI in refineries faces challenges such as cybersecurity risks, legacy system integration, and lack of explainable models. Future research should focus on scalable and transparent AI frameworks that align with industry-specific needs.
References
[1]. Arinze CA, Izionworu VO, Isong DE, Daudu CD, Adefemi A. Integrating artificial intelligence into engineering processes for improved efficiency and safety in oil and gas operations. Open Access Research Journal of Engineering and Technology [Internet]. 2024 Mar 19 [cited 2025 Feb];6(1):39. Available from: https://doi.org/10.53022/oarjet.2024.6.1.0012
[2]. 2. Li JX, Zhang T, Zhu Y, Chen Z. Artificial General Intelligence (AGI) for the oil and gas industry: a review. arXiv (Cornell University) [Internet]. Cornell University; 2024 Jun 1 [cited 2025 Feb]; Available from: https://arxiv.org/abs/2406.00594
[3]. Deif AM, Vivek T. Understanding AI Application Dynamics in Oil and Gas Supply Chain Management and Development: A Location Perspective. HighTech and Innovation Journal [Internet]. 2022 Mar 15 [cited 2025 Feb];3:1. Available from: https://doi.org/10.28991/hij-sp2022-03-01
[4]. Waqar A, Othman I, Shafiq N, Mansoor MS. Applications of AI in oil and gas projects towards sustainable development: a systematic literature review. Artificial Intelligence Review [Internet]. 2023 Mar 23 [cited 2025 Feb];56(11):12771. Available from: https://doi.org/10.1007/s10462-023-10467-7
[5]. D’Almeida AL, Bergiante NCR, Ferreira G de S, Leta FR, Lima CB de C, Lima GBA. Digital transformation: a review on artificial intelligence techniques in drilling and production applications. The International Journal of Advanced Manufacturing Technology [Internet]. Springer Science+Business Media; 2022 Jan 22 [cited 2025 Feb];119:5553. Available from: https://doi.org/10.1007/s00170-021-08631-w
[6]. Hong L, Yu H, Cao N, Tian H, Cheng S. Applications of Artificial Intelligence in Oil and Gas Development. Archives of Computational Methods in Engineering [Internet]. 2020 Jan 16 [cited 2025 Feb];28(3):937. Available from: https://doi.org/10.1007/s11831-020-09402-8
[7]. Chernikov AD, Eremin NA, Stolyarov VE, Sboev A, Semenova-Chashchina OK, Fitsner LK. Application of artificial intelligence methods for identifying and predicting complications in the construction of oil and gas wells: problems and solutions. Georesursy [Internet]. 2020 Sep 30 [cited 2025 Feb];22(3):87. Available from: https://doi.org/10.18599/grs.2020.3.87-96
[8]. Pandey YN, Rastogi A, Kainkaryam S, Bhattacharya S, Saputelli L. Opportunities, Challenges, and Future Trends. In: Apress eBooks [Internet]. 2020 [cited 2025 Feb]. p. 259. Available from: https://doi.org/10.1007/978-1-4842-6094-4_8
[9]. Wu D, Jennings C, Terpenny J, Gao RX, Kumara S. A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests. Journal of Manufacturing Science and Engineering [Internet]. 2017 Mar 28 [cited 2025 Feb];139(7). Available from: https://doi.org/10.1115/1.4036350
[10]. Pereira PC. Hidden Value in Maintenance System Data: Using Machine Learning to Correlate and Predict the Risk of Asset Failures. In: Offshore Technology Conference [Internet]. 2020 [cited 2025 Jun]. Available from: https://doi.org/10.4043/30730-ms
[11]. Hoffmann M, Wildermuth S, Gitzel R, Boyaci A, Gebhardt J, Kaul H, Amihai I, Forg B, Suriyah M, Leibfried T, Stich V, Hicking J, Bremer M, Kaminski L, Beverungen D, Heiden P zur, Tornede T. Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. Sensors [Internet]. Multidisciplinary Digital Publishing Institute; 2020 Apr 8 [cited 2025 Jun];20(7):2099. Available from: https://doi.org/10.3390/s20072099
[12]. Shipman WJ. Learning to Tune a Class of Controllers with Deep Reinforcement Learning. Minerals [Internet]. 2021 Sep 9 [cited 2025 May];11(9):989. Available from: https://doi.org/10.3390/min11090989
[13]. Schulze K. Adaptive Multivariable Control -An Integrated Concept-. IFAC Proceedings Volumes [Internet]. 1997 May 1 [cited 2025 Jan];30(6):1191. Available from: https://doi.org/10.1016/s1474-6670(17)43523-3
[14]. Bachate R, Sharma A. Acquaintance with Natural Language Processing for Building Smart Society. E3S Web of Conferences [Internet]. 2020 Jan 1 [cited 2025 Feb];170:2006. Available from: https://doi.org/10.1051/e3sconf/202017002006
[15]. Gowekar GS. Artificial intelligence for predictive maintenance in oil and gas operations. World Journal of Advanced Research and Reviews [Internet]. 2024 Sep 14 [cited 2025 Feb];23(3):1228. Available from: https://doi.org/10.30574/wjarr.2024.23.3.2721
[16]. Rojas L, Peña Á, García J. AI-Driven Predictive Maintenance in Mining: A Systematic Literature Review on Fault Detection, Digital Twins, and Intelligent Asset Management. Applied Sciences [Internet]. 2025 Mar 19 [cited 2025 Jun];15(6):3337. Available from: https://doi.org/10.3390/app15063337
[17]. Anozie UC, Pieterson K, Onyenahazi OB, Chukwuebuka UO, Ekeocha PC. Integration of IoT technology in lean manufacturing for real-time supply chain optimization. International Journal of Science and Research Archive [Internet]. 2024 Aug 17 [cited 2025 Feb];12(2):1948. Available from: https://doi.org/10.30574/ijsra.2024.12.2.1498
[18]. Shukla BK, Maurya N, Sharma M. Advancements in Sensor-Based Technologies for Precision Agriculture: An Exploration of Interoperability, Analytics and Deployment Strategies. 2023 Nov 15 [cited 2025 Jun];22. Available from: https://doi.org/10.3390/ecsa-10-16051
[19]. Kumar S, Gopi T, Harikeerthana N, Gupta MK, Gaur V, Królczyk G, Wu C. Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control. Journal of Intelligent Manufacturing [Internet]. 2022 Oct 10 [cited 2025 Feb];34(1):21. Available from: https://doi.org/10.1007/s10845-022-02029-5
[20]. Olawade DB, Wada OZ, David-Olawade AC, Fapohunda O, Ige AO, Ling J. Artificial intelligence potential for net zero sustainability: Current evidence and prospects. Next Sustainability [Internet]. 2024 Jan 1 [cited 2025 Feb];4:100041. Available from: https://doi.org/10.1016/j.nxsust.2024.100041
[21]. Malik S, Muhammad K, Waheed Y. Artificial intelligence and industrial applications-A revolution in modern industries. Ain Shams Engineering Journal [Internet]. 2024 Jun 5 [cited 2025 Feb];15(9):102886. Available from: https://doi.org/10.1016/j.asej.2024.102886
[22]. Jin D, Ocone R, Jiao K, Xuan J. Energy and AI. Energy and AI [Internet]. 2020 Apr 20 [cited 2025 Feb];1:100002. Available from: https://doi.org/10.1016/j.egyai.2020.100002
[23]. Sundaram S, Zeid A. Artificial Intelligence-Based Smart Quality Inspection for Manufacturing. Micromachines [Internet]. 2023 Feb 27 [cited 2025 Feb];14(3):570. Available from: https://doi.org/10.3390/mi14030570
[24]. Chen J. A System of Multistep Self-Learning Forecast and its Application on Oil Refining Industry. Advanced materials research [Internet]. 2012 Dec 1 [cited 2025 Feb];1675. Available from: https://doi.org/10.4028/www.scientific.net/amr.605-607.1675
[25]. Gavade D. AI-driven process automation in manufacturing business administration: efficiency and cost-efficiency analysis. IET conference proceedings [Internet]. 2024 Feb 27 [cited 2025 Jun];2023(44):677. Available from: https://doi.org/10.1049/icp.2024.1038
[26]. Bajwa A. AI-based Emergency Response Systems: A Systematic Literature Review on Smart Infrastructure Safety. SSRN Electronic Journal [Internet]. 2025 Jan 1 [cited 2025 May]; Available from: https://doi.org/10.2139/ssrn.5171521
[27]. Akhtar ZB. Artificial intelligence (AI) within manufacturing: An investigative exploration for opportunities, challenges, future directions. Metaverse [Internet]. 2024 Jul 4 [cited 2025 May];5(2):2731. Available from: https://doi.org/10.54517/m.v5i2.2731
[28]. abbas asad. AI for Predictive Maintenance in Industrial Systems. 2024 Jan 28 [cited 2025 Feb]; Available from: https://doi.org/10.31219/osf.io/vq8zg
[29]. Shiboldenkov VА, Nesterova K. The smart technologies application for the product life-cycle management in modern manufacturing systems. MATEC Web of Conferences [Internet]. 2020 Jan 1 [cited 2025 Feb];311:2020. Available from: https://doi.org/10.1051/matecconf/202031102020
[30]. Park J, Kang D. Artificial Intelligence and Smart Technologies in Safety Management: A Comprehensive Analysis Across Multiple Industries. Applied Sciences [Internet]. 2024 Dec 20 [cited 2025 Jun];14(24):11934. Available from: https://doi.org/10.3390/app142411934
[31]. Bates DW, Levine DM, Syrowatka A, Kuznetsova M, Craig KJT, Rui A, Jackson GP, Rhee K. The potential of artificial intelligence to improve patient safety: a scoping review. npj Digital Medicine [Internet]. Nature Portfolio; 2021 Mar 19 [cited 2025 Feb];4(1). Available from: https://doi.org/10.1038/s41746-021-00423-6
[32]. Durlik I, Miller T, Kostecka E, Kozlovska P, Ślączka W. Enhancing Safety in Autonomous Maritime Transportation Systems with Real-Time AI Agents. Applied Sciences [Internet]. 2025 Apr 30 [cited 2025 May];15(9):4986. Available from: https://doi.org/10.3390/app15094986
[33]. Binhammad MHY, Alqaydi S, Othman A, Abuljadayel LH. The Role of AI in Cyber Security: Safeguarding Digital Identity. Journal of Information Security [Internet]. 2024 Jan 1 [cited 2025 May];15(2):245. Available from: https://doi.org/10.4236/jis.2024.152015
[34]. Kalogiannidis S, Kalfas D, Papaevangelou O, Giannarakis G, Chatzitheodoridis F. The Role of Artificial Intelligence Technology in Predictive Risk Assessment for Business Continuity: A Case Study of Greece. Risks [Internet]. 2024 Jan 23 [cited 2025 Jun];12(2):19. Available from: https://doi.org/10.3390/risks12020019
[35]. Roshanaei M, Khan MR, Sylvester NN. Navigating AI Cybersecurity: Evolving Landscape and Challenges. Journal of Intelligent Learning Systems and Applications [Internet]. 2024 Jan 1 [cited 2025 Jun];16(3):155. Available from: https://doi.org/10.4236/jilsa.2024.163010
[36]. Yazdi M, Zarei E, Adumene S, Beheshti A. Navigating the Power of Artificial Intelligence in Risk Management: A Comparative Analysis. Safety [Internet]. 2024 Apr 26 [cited 2025 Jun];10(2):42. Available from: https://doi.org/10.3390/safety10020042
[37]. Akinrinmade AO, Adebile TM, Ezuma-Ebong C, Bolaji K, Ajufo A, Adigun AO, Mohammad M, Dike JC, Okobi OE. Artificial Intelligence in Healthcare: Perception and Reality. Cureus [Internet]. Cureus, Inc.; 2023 Sep 20 [cited 2025 Feb]; Available from: https://doi.org/10.7759/cureus.45594
[38]. Capodaglio AG, Callegari A. Use, Potential, Needs, and Limits of AI in Wastewater Treatment Applications. Water [Internet]. 2025 Jan 10 [cited 2025 Jun];17(2):170. Available from: https://doi.org/10.3390/w17020170
[39]. Alenezi A, Alabaiadly Y. Artificial Intelligence Applications in Water Treatment and Desalination: A Comprehensive Review. Water [Internet]. Multidisciplinary Digital Publishing Institute; 2025 Apr 14 [cited 2025 Jun];17(8):1169. Available from: https://doi.org/10.3390/w17081169
[40]. Kamali M, Appels L, Yu X, Aminabhavi TM, Dewil R. Artificial intelligence as a sustainable tool in wastewater treatment using membrane bioreactors. Chemical Engineering Journal [Internet]. 2020 Dec 10 [cited 2025 Feb];417:128070. Available from: https://doi.org/10.1016/j.cej.2020.128070
[41]. Kulikova EYu, Sulimin V, Shvedov V. Artificial intelligence for ambient air quality control. E3S Web of Conferences [Internet]. 2023 Jan 1 [cited 2025 Apr];419:3011. Available from: https://doi.org/10.1051/e3sconf/202341903011
[42]. Bartram SM, Branke J, Motahari M. Artificial Intelligence in Asset Management. SSRN Electronic Journal [Internet]. 2020 Jan 1 [cited 2025 Jun]; Available from: https://doi.org/10.2139/ssrn.3692805
[43]. Vangala BL. AI-Enabled Data Engineering Solutions for Regulatory Compliance in Automotive Industry: Simplifying the Regulatory Landscapes. International Journal of Innovative Research in Science Engineering and Technology [Internet]. 2025 May 3 [cited 2025 Jun];14(5). Available from: https://doi.org/10.15680/ijirset.2025.1405003
[44]. Wu CJ, Raghavendra R, Gupta U, Acun B, Ardalani N, Maeng K, Chang G, Behram FA, Huang J, Bai C, Gschwind M, Gupta A, Ott M, Мельников АС, Candido S, Brooks DJ, Chauhan G, Lee B, Lee HHS, Akyildiz B, Balandat M, Spisak J, Jain R, Rabbat M, Hazelwood K. Sustainable AI: Environmental Implications, Challenges and Opportunities. arXiv (Cornell University) [Internet]. 2021 Jan 1 [cited 2025 Feb]; Available from: https://arxiv.org/abs/2111.00364
[45]. Dash R, McMurtrey ME, Rebman C, Kar UK. Application of Artificial Intelligence in Automation of Supply Chain Management. Journal of Strategic Innovation and Sustainability [Internet]. 2019 Jul 18 [cited 2025 Feb];14(3). Available from: https://doi.org/10.33423/jsis.v14i3.2105
[46]. Nahar S. Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting. Technological Forecasting and Social Change [Internet]. 2024 Jan 20 [cited 2025 Jun];201:123203. Available from: https://doi.org/10.1016/j.techfore.2023.123203
[47]. Bello O, Teodoriu C, Yaqoob T, Oppelt J, Holzmann J, Obiwanne A. Application of Artificial Intelligence Techniques in Drilling System Design and Operations: A State of the Art Review and Future Research Pathways. SPE Nigeria Annual International Conference and Exhibition [Internet]. 2016 Jul 6 [cited 2025 Feb]; Available from: https://doi.org/10.2118/184320-ms
[48]. Tariq Z, Aljawad MS, Hasan A, Murtaza M, Mohammed EA, El‐Husseiny A, Alarifi SA, Mahmoud M, Abdulraheem A. A systematic review of data science and machine learning applications to the oil and gas industry. Journal of Petroleum Exploration and Production Technology [Internet]. Springer Nature; 2021 Sep 24 [cited 2025 Feb];11(12):4339. Available from: https://doi.org/10.1007/s13202-021-01302-2
[49]. Koroteev D, Tekić Ž. Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future. Energy and AI [Internet]. 2020 Dec 23 [cited 2025 Feb];3:100041. Available from: https://doi.org/10.1016/j.egyai.2020.100041
[50]. Pawar S, Dhumal V. The role of technology in transforming leadership management practices. Multidisciplinary Reviews [Internet]. 2024 Jan 18 [cited 2025 Jun];7(4):2024066. Available from: https://doi.org/10.31893/multirev.2024066
[51]. Emaminejad N, North AM, Akhavian R. Trust in AI and Implications for the AEC Research: A Literature Analysis. arXiv (Cornell University) [Internet]. 2022 Jan 1 [cited 2025 Jan]; Available from: https://arxiv.org/abs/2203.03847
[52]. Sinha S, Lee YM. Challenges with developing and deploying AI models and applications in industrial systems. Discover Artificial Intelligence [Internet]. 2024 Aug 16 [cited 2025 Jun];4(1). Available from: https://doi.org/10.1007/s44163-024-00151-2
[53]. Polemi N, Praça I, Kioskli K, Bécue A. Challenges and efforts in managing AI trustworthiness risks: a state of knowledge. Frontiers in Big Data [Internet]. 2024 May 9 [cited 2025 Jun];7. Available from: https://doi.org/10.3389/fdata.2024.1381163
[54]. Pery A, Rafiei M, Simon M, Aalst WMP van der. Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. arXiv (Cornell University) [Internet]. 2021 Jan 1 [cited 2025 May]; Available from: https://arxiv.org/abs/2110.02707
[55]. Yu L, Li Y, Fan F. Employees’ Appraisals and Trust of Artificial Intelligences’ Transparency and Opacity. Behavioral Sciences [Internet]. 2023 Apr 20 [cited 2025 Jun];13(4):344. Available from: https://doi.org/10.3390/bs13040344
[56]. Choung H, David P, Ross A. Trust in AI and Its Role in the Acceptance of AI Technologies. International Journal of Human-Computer Interaction [Internet]. 2022 Apr 20 [cited 2025 Jun];39(9):1727. Available from: https://doi.org/10.1080/10447318.2022.2050543
[57]. Petković D. It is Not “Accuracy vs. Explainability”—We Need Both for Trustworthy AI Systems. IEEE Transactions on Technology and Society [Internet]. 2023 Jan 30 [cited 2025 Feb];4(1):46. Available from: https://doi.org/10.1109/tts.2023.3239921
[58]. Knowles B, Richards JT. The Sanction of Authority: Promoting Public Trust in AI. arXiv (Cornell University) [Internet]. 2021 Jan 1 [cited 2025 Apr]; Available from: https://arxiv.org/abs/2102.04221
[59]. Kurhade A, Talele V, Rao TV, Chandak A, Mathew VK. Computational study of PCM cooling for electronic circuit of smart-phone. Materials Today: Proceedings. 2021 Jan 1;47:3171-6.
[60]. Kurhade AS, Amruth E, Joshi PS, Kondhalkar GE, Jadhav PA, Murali G, Mahajan RG, Waware SY. Enhancing Flat-Plate Solar Collector Efficiency: A Numerical Study. jmmf [Internet]. 2025 Apr. 16 [cited 2025 Apr. 28];73(4):1065-76.
[61]. Kurhade AS, Murali G. Thermal control of IC chips using phase change material: A CFD investigation. International Journal of Modern Physics C. 2022 Dec 28;33(12):2250159.
[62]. Kurhade AS, Murali G, Rao TV. CFD approach for thermal management to enhance the reliability of IC chips. Int J Eng Trends Technol. 2022;71(3):65-72.
[63]. Waware SY, Kore SS, Kurhade AS, Prakashrao S. Innovative Heat Transfer Enhancement in Tubular Heat Exchanger: An.
[64]. Kurhade AS, Biradar R, Yadav RS, Patil P, Kardekar NB, Waware SY, Munde KH, Nimbalkar AG, Murali G. Predictive placement of IC chips using ANN-GA approach for efficient thermal cooling. J Adv Res Fluid Mech Therm Sc. 2024;118(2):137-4.
[65]. Waware SY, Chougule SM, Yadav RS, Biradar R, Patil P, Munde KH, Kardekar NB, Nimbalkar AG, Kurhade AS, Murali G, Kore SS. A comprehensive evaluation of recent studies investigating nanofluids utilization in heat exchangers. J Adv Res Fluid Mech Therm Sci. 2024;119(2):160-72.
[66]. Upadhe SN, Mhamane SC, Kurhade AS, Bapat PV, Dhavale DB, Kore LJ. Water saving and hygienic faucet for public places in developing countries. InTechno-Societal 2018: Proceedings of the 2nd International Conference on Advanced Technologies for Societal Applications-Volume 1 2020 (pp. 617-624). Springer International Publishing.
[67]. Sidhappa KA, Hande MS, Patil MS, Mask MV. Heat Transfer Enhancement by using Twisted Tape Inserts with circular holes in forced convection. International journal of innovations in engineering research and technology. 2016 Mar;3(3):1-7.
[68]. Kurhade AS, Kardekar NB, Bhambare PS, Waware SY, Yadav RS, Pawar P, Kirpekar S. A comprehensive review of electronic cooling technologies in harsh field environments: obstacles, progress, and prospects. J Mines Met Fuels. 2024; 72 (6): 557-79 [Internet].
[69]. Kurhade AS, Waware SY, Bhambare PS, Biradar R, Yadav RS, Patil VN. A comprehensive study on Calophyllum inophyllum biodiesel and dimethyl carbonate blends: Performance optimization and emission control in diesel engines. J Mines Met Fuels. 2024; 72 (5): 499-507.
[70]. Kurhade AS, Waware SY, Munde KH, Biradar R, Yadav RS, Patil P, Patil VN, Dalvi SA. Performance of solar collector using recycled aluminium cans for drying. J Mines Met Fuels. 2024; 72 (5): 455-61.
[71]. Kurhade AS, Siraskar GD, Bhambare PS, Dixit SM, Waware SY. Numerical investigation on the influence of substrate board thermal conductivity on electronic component temperature regulation. J Adv Res Numer Heat Trans. 2024;23(1):28-37.
[72]. Kurhade AS, Siraskar GD, Kondhalkar GE, Darade MM, Yadav RS, Biradar R, Waware SY, Charwad GA. Optimizing aerofoil design: A comprehensive analysis of aerodynamic efficiency through CFD simulations and wind tunnel experiments. Journal of Mines, Metals and Fuels. 2024 Sep 17:713-24.
[73]. Kurhade AS, Siraskar GD, Darade MM, Dhumal JR, Kardile CS, Biradar R, Patil SP, Waware SY. Predicting heat transfer enhancement with twisted tape inserts using fuzzy logic techniques in heat exchangers. Journal of Mines, Metals and Fuels. 2024 Sep 17:743-50.
[74]. Kurhade AS, Kadam AA, Biradar R, Bhambare PS, Gadekar T, Patil P, Yadav RS, Waware SY. Experimental investigation of heat transfer from symmetric and asymmetric IC Chips mounted on the SMPS board with and without PCM. J Adv Res Fluid Mech Therm Sc. 2024;121(1):137-4.
[75]. Patil P, Kardekar N, Yadav R, Kurhade A, Kamble D. Nanofluids: An Experimental Study for MQL Grinding. Journal of Mines, Metals and Fuels. 2023;71(12):2751-6.
[76]. Patil P, Kardekar N, Yadav R, Kurhade A, Kamble D. Al2O3 nanofluids: An experimental study for MQL grinding. J Mines Met Fuels. 2023; 2751-6.
[77]. Kurhade AS, Bhambare PS, Desai VP, Murali G, Yadav RS, Patil P, Gadekar T, Biradar R, Kirpekar S, Charwad GA, Waware SY. Investigating the effect of heat transfer influenced by applying wavy corrugated twisted tape inserts in double pipe heat exchangers. J Adv Res Fluid Mech Therm Sc.[Internet]. 2024;122(2):146-55.
[78]. Kurhade AS, Murali G, Jadhav PA, Bhambare PS, Waware SY, Gadekar T, Yadav RS, Biradar R, Patil P. Performance analysis of corrugated twisted tape inserts for heat transfer augmentation. J Adv Res Fluid Mech Therm Sci. 2024;121(2):192-200.
[79]. Kurhade MA, Dange MM, Nalawade DB. Effect of wavy (Corrugated) twisted tape inserts on heat transfer in a double pipe heat exchanger. International journal of innovations in engineering research and technology. 2015;2(1):1-8.
[80]. Kurhade AS, Gadekar T, Siraskar GD, Jawalkar SS, Biradar R, Kadam AA, Yadav RS, Dalvi SA, Waware SY, Mali CN. Thermal Performance Analysis of Electronic Components on Different Substrate Materials. Journal of Mines, Metals and Fuels. 2024 Oct 30:1093-8.
[81]. Kurhade AS, Siraskar GD, Jawalkar SS, Gadekar T, Bhambare PS, Biradar R, Yadav RS, Waware SY, Mali CN. The impact of circular holes in twisted tape inserts on forced convection heat transfer. J Mines Met Fuels. 2024; 72 (9): 1005–12 [Internet].
[82]. Kurhade AS, Darade MM, Siraskar GD, Biradar R, Mahajan RG, Kardile CS, Waware SY, Yadav RS. State-of-the-Art Cooling Solutions for Electronic Devices Operating in Harsh Conditions. Journal of Mines, Metals and Fuels. 2024 Sep 27:843-61.
[83]. Kurhade AS, Warke P, Maniyar K, Bhambare PS, Waware SY, Deshpande S, Harsur S, Ingle M, Kolhe P, Patil PA, Jadhav P. The wind rose analysis of temperature variation with sensor implantation technique for a wind turbine. J Adv Res Fluid Mech Therm Sci. 2024;122(1):1-8.
[84]. Kurhade AS, Siraskar GD, Bhambare PS, Keloth D, Kaithari SM, Waware SY. Enhancing Smartphone Circuit Cooling: A Computational Study of PCM Integration. J. Adv. Res. Numer. Heat Trans. 2024 Nov 30;27(1):132-45.
[85]. Yadav RS, Gadekar T, Gundage V, Patil P, Patil A, Patil P, Patil A, Sutar R, Kurhade AS. Numerical and Experimental Investigation of the Effect of Overlapping Angle on Strength and Deformation of Curved Plate Joined Using Arc Welding Process. Journal of Mines, Metals and Fuels. 2024 Oct 30:1059-66.
[86]. Yadav RS, Nimbalkar A, Gadekar T, Patil P, Patil VN, Gholap AB, Kurhade AS, Dhumal JR, Waware SY. Comparison of Experimental and Numerical Investigation of Mono-Composite and Metal Leaf Spring. Journal of Mines, Metals and Fuels. 2024 Sep 27:815-27.
[87]. Deshpande SV, Pawar RS, Keche AJ, Kurhade A. Absolute time surface finish measurement of stepped holding shaft by automatic system. Journal of Advanced Manufacturing Systems. 2025 Jan 17.
[88]. Kurhade AS, Siraskar GD, Bhambare PS, Murali G, Deshpande SV, Warke PS, Waware SY. Simulation and Analysis of Heat Transfer in Counter-Flow Helical Double-Pipe Heat Exchangers Using CFD. International Journal of Modern Physics C. 2025 Jan 10.
[89]. Parkar A, Yadav RS, Chopade R, Dhavase N, Dhumal JR, Mankar SP, Patil S, Ghuge K, Giri B, Kurhade AS. Automating the Two-Dimensional Design of Heating, Ventilation, Air Conditioning, and Refrigeration (HVACR) Ducts using Computer Programming Language: An Algorithmic Approach. Journal of Mines, Metals and Fuels. 2025 Jan 7:211-20.
[90]. Kurhade AS, Siraskar GD, Darade MM, Murali G, Katkar TR, Patil SP, Charwad GA, Waware SY, Yadav RS. Enhancement in Heat Transfer with Nanofluids in Double-Pipe Heat Exchangers. Journal of Mines, Metals and Fuels. 2025 Jan 7:165-72.
[91]. Kurhade AS, Chougule SM, Kharat PV, Kondhalkar GE, Murali G, Raut PN, Charwad GA, Waware SY, Yadav RS. Integrated Approach to Enhance Vehicle Safety: A Novel Bumper Design with Energy-Absorbing Mechanisms. Journal of Mines, Metals and Fuels. 2025 Jan 7:27-35.
[92]. Raut PN, Dolas AS, Chougule SM, Darade MM, Murali G, Waware SY, Kurhade AS. Green Adsorbents for Heavy Metal Removal: A Study on Zinc Ion Uptake by Tinospora cordifolia Biocarbon. Journal of Mines, Metals and Fuels. 2025 Jan 7:21-5.
[93]. Yadav R, Nimbalkar A, Kirpekar S, Patil PJ, Dalvi SA, Jadhav PA, Kurhade AS, Wakchaure GN. Effect of Transformed-Induced Plasticity Steel Plate Thickness on Ultimate Tensile Strength of Butt Welded Joint using Nd: YAG Laser. International Journal of Vehicle Structures and Systems. 2024 Dec 31;16(6).
[94]. Yadav RS, Gandhi P, Veeranjaneyulu K, Gaji R, Kirpekar S, Pawar D, Khairnar YS, Patil S, Kurhade AS, Patil SP. Influence of Plate Thickness on the Mechanical Behaviour of Mild Steel Curved Plates: An Experimental Study. Journal of Mines, Metals and Fuels. 2024 Dec 11:1319-27.
[95]. Kurhade AS, Bhambare PS, Siraskar GD, Mukesh S, Dixit PS, Waware SY. Computational Study on Thermal Management of IC Chips with Phase Change Materials.
[96]. Kurhade MA, Dange MM, Nalawade DB. Fuzzy Logic Modeling of Heat Transfer in a Double Pipe Heat Exchanger with Wavy (Corrugated) Twisted Tape Inserts. International Journal of Innovations in Engineering Research and Technology.;2(1):1-8.
[97]. Kurhade AS, Siraskar GD, Raut PN, Dolas AS, Murali G, Dalvi SA, Waware SY, Yadav RS. Investigating the Impact of Oxygenated Additives on Exhaust Emissions from Unleaded Gasoline Vehicles. jmmf. 2025 Feb. 24;73(2):333-44
[98]. Purandare P, Yadav RS, Nema AA, Kulkarni A, Kirpekar S, Giri B, Patil PA, Jagdale M, Kurhade AS. Comparative Study of Helical Coil, Spiral Coil and Conical Coil (90O) Heat Exchanger for Single Phase Fluid Flow. jmmf. 2025 Feb. 24 ;73(2):377-84.
[99]. Kurhade AS, Siraskar GD, Dalvi SA, Kharat PV, Jadhav NA, Shelkande VD, Murali G, Waware SY, Yadav RS. Passive Cooling of EV Batteries Using Phase Change Material: A Simulation Study. jmmf . 2025 Feb. 24 ;73(2):447-54.
[100]. Kurhade AS, Kharat PV, Chougule SM, Darade MM, Karad MM, Murali G, Charwad GA, Waware SY, Yadav RS. Harnessing the Power of Plastic Waste: A Sustainable Approach to Fuel Production. jmmf . 2025 Feb. 24;73(2):467-73.
[101]. Kurhade AS, Siraskar GD, Deshmukh MT, Patil PA, Chaudhari SS, Kadam AA, Dolas AS, Mahajan RG, Waware SY, Yadav RS. Impact of PCM on Heat Dissipation from IC Chips. Journal of Mines, Metals & Fuels. 2025 Mar 1;73(3).
[102]. Ramani P, Reji V, Sathish Kumar V, Murali G, Kurhade AS. Deep Learning-Based Detection and Classification of Moss and Crack Damage in Rock Structures for Geo-Mechanical Preservation. Journal of Mines, Metals & Fuels. 2025 Mar 1;73(3).
[103]. Chippalkatti S, Chekuri RB, Ohol SS, Shinde NM, Barmavatu P, Shelkande VD, Murali G, Kurhade AS. Enhancing Heat Transfer in Micro-Channel Heat Sinks through Geometrical Optimization. Journal of Mines, Metals & Fuels. 2025 Mar 1;73(3).
[104]. Kurhade AS, Siraskar GD, Chekuri RB, Murali G, Pawar P, Patil AR, Waware SY, Yadav RS. Biodiesel Blends: A Sustainable Solution for Diesel Engine Performance Improvement. Journal of Mines, Metals & Fuels. 2025 Mar 1;73(3).
[105]. Kurhade AS, Bhavani P, Patil SA, Kolhalkar NR, Chalapathi KS, Patil PA, Waware SY. Mitigating Environmental Impact: A Study on the Performance and Emissions of a Diesel Engine Fueled with Biodiesel Blend. jmmf [Internet]. 2025 Apr. 16 [cited 2025 Apr. 28];73(4):981-9.
[106]. Wakchaure GN, Vijayarao P, Jadhav TA, Bhamare YM, Jagtap A, Gaji R, Chavan Patil AS, Kamble SD, Jagtap SV, Yadav RS, Kurhade AS. Performance Evaluation of Trapezoidal Ducts with Delta Wing Vortex Generators: An Experimental Investigation. jmmf [Internet]. 2025 Apr. 16 [cited 2025 Apr. 28];73(4):991-1003.
[107]. Wakchaure GN, Jagtap SV, Gandhi P, Chavan Patil AS, Kandharkar S, Kokare NN, Bhamare YM, Kamble SD, Jadhav A, Yadav RS, Kurhade AS. Heat Transfer Characteristics of Trapezoidal Duct using Delta Wing Vortex Generators. jmmf [Internet]. 2025 Apr. 17 [cited 2025 Apr. 28];73(4):1053-6.
[108]. Chougule SM, Murali G, Kurhade AS. Failure Investigation of the Driving Shaft in an Industrial Paddle Mixer. jmmf [Internet]. 2025 May 9 [cited 2025 May 12];73(5):1247-56.
[109]. Kurhade AS, Sugumaran S, Kolhalkar NR, Karad MM, Mahajan RG, Shinde NM, Dalvi SA, Waware SY. Thermal Management of Mobile Devices via PCM. jmmf [Internet]. 2025 May 9 [cited 2025 May 12];73(5):1313-20.
[110]. Chougule SM, Murali G, Kurhade AS. Finite Element Analysis and Design Optimization of a Paddle Mixer Shaft. jmmf [Internet]. 2025 May 9 [cited 2025 May 12];73(5):1343-54.
[111]. Waware SY, Ahire PP, Napate K, Biradar R, Patil SP, Kore SS, Kurhade AS. Advancements in Heat Transfer Enhancement using Perforated Twisted Tapes: A Comprehensive Review. jmmf [Internet]. 2025 May 9 [cited 2025 May 12];73(5):1355-63.
[112]. Patil Y, Tatiya M, Dharmadhikari DD, Shahakar M, Patil SK, Mahajan RG, Kurhade AS. The Role of AI in Reducing Environmental Impact in the Mining Sector. jmmf [Internet]. 2025 May 9 [cited 2025 May 12];73(5):1365-78.
[113]. Chougule SM, Murali G, Kurhade AS. Dynamic simulation and performance evaluation of vibratory bowl feeders integrated with paddle shaft mechanisms. Advances in Science and Technology Research Journal. 2025;19(7):179-96.
[114]. Rao SS, Sugumaran S, Ameresh H, Amruth E, Thamke VP, Waware SY, Patil PA, Kurhade AS. Impact of Regularly Spaced Cut Sections on the Heat Transfer Efficiency of Helical Strip Inserts in Circular Pipes. jmmf [Internet]. 2025 Jun. 4 [cited 2025 Jun. 6];73(6):1517-25
[115]. Sanadi A, Shinde S, Burgute G, Purandare P, Ramtirthkar C, Jadhav Sachin Z, Awati SS, Yadav R, Kurhade A. Assessing the Impact of Exhaust Gas Recirculation on the Emission Profile of a Diesel Engine Operating on Mohua Oil: An Experimental Study. jmmf [Internet]. 2025 Jun. 4 [cited 2025 Jun. 6];73(6):1535-42.
[116]. Chaudhari SS, Shahakar M, Gholap P, Dhamdhere PB, Agrawal SS, Mahajan RG, Kurhade AS, Waware SY. Enhancing Energy Efficiency in Metallurgical Operations Using AI: A State of the Art Review. jmmf [Internet]. 2025 Jun. 4 [cited 2025 Jun. 6];73(6):1595-616.
[117]. Waware SY, Ahire PP, Ghutepatil PR, Biradar R, Kadam AA, Kore SS, Kurhade AS, Ghunake KB. Enhancing Heat Transfer in Tubular Heat Exchanger Using Minijet Technology. jmmf [Internet]. 2025 Jun. 4 [cited 2025 Jun. 6];73(6):1699-706.
[118]. Chougule SM, Murali G, Kurhade AS. Design and Analysis of Industrial Material Handling Systems using FEA and Dynamic Simulation Techniques: FEA AND SIMULATION-BASED DESIGN OF MATERIAL HANDLING SYSTEMS. Journal of Scientific & Industrial Research (JSIR). 2025 Jun 18;84(6):645-53.








