Mahesh G. Bhong

@indiraicem.ac.in

Associate Professor, Mechanical Engineering
Indira College of Engineering and Management

Mahesh G. Bhong


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https://researchid.co/mahesh.bhong

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Agricultural and Biological Sciences, Engineering
11

Scopus Publications

341

Scholar Citations

6

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Smart Biorefineries: Machine Learning for Process Control, Resource Utilization, and Emission Monitoring
    Sonali Shrikant Patil, Madhuri Karad, S. Manjula Gandhi, Mahesh Ganpat Bhong, Kiran Dattatray Devade, Vishakha Avinash Mahajan, Ghanasham Chandrakant Sarode, Ganesh Patil, Anant Sidhappa Kurhade
    Applied Chemical Engineering, 2026
    Bio-refineries are central to achieving a sustainable bioeconomy by converting renewable biomass into fuels, chemicals, and energy, directly supporting global climate and resource-efficiency targets. Their operation remains challenging due to nonlinear process behavior, feedstock variability, and the need to simultaneously address productivity and environmental compliance. While machine learning (ML) has been increasingly applied to individual bio-refinery operations, existing studies lack an integrated perspective that links process control, resource use optimization, and emission monitoring with sustainability objectives defined under the Sustainable Development Goals (SDGs). The objective of this review is to analyze and synthesize recent advances in ML applications for smart bio-refineries, with a focus on improving process efficiency (SDG 9: Industry, Innovation and Infrastructure), reducing energy and water consumption (SDG 7: Affordable and Clean Energy; SDG 6: Clean Water and Sanitation), and minimizing environmental emissions (SDG 12: Responsible Consumption and Production; SDG 13: Climate Action). A structured review methodology was adopted, covering peer-reviewed studies on supervised, unsupervised, and reinforcement learning methods applied to fermentation, thermochemical conversion, heat integration, and emission monitoring. The review shows that ML models, including artificial neural networks, ensemble methods, and hybrid ML–physics frameworks, enhance predictive accuracy, stabilize process operation, and enable proactive emission control. Reported case studies demonstrate measurable reductions in energy demand, improved resource utilization, and better compliance with emission limits. These findings underline the role of ML as a practical enabler of sustainable, low-emission bio-refineries. By linking operational performance with SDG-oriented outcomes, this review provides a clear framework for deploying ML technologies to support environmentally responsible and economically viable bio-refinery systems.
  • Investigating the Synergistic Effects of Hybrid Nanofillers in Polymer Matrix Nanocomposites for Superior Mechanical and Electrical Performance
    Mahesh Bhong, Yadaiah Nirsanametla, Jitendra Gudainiyan, Rahul Kumar, Pravin P. Patil, Vijay Kumar Yadav, Akhil Sankhyan
    E3s Web of Conferences, 2024
    This research examines the synergistic impacts of hybrid nanofillers, particularly silica nanoparticles (SiO2) and multi-walled carbon nanotubes (MWCNTs), in polyethene (PE) network nanocomposites. The nanocomposites are methodically arranged and characterized for predominant mechanical and electrical execution. Tensile tests uncover a significant upgrade in mechanical properties, with test C showing a tensile quality of 83.2 MPa, flexible modulus of 3.6 GPa, and stretching at a break of 11.8%. Electrical conductivity estimations demonstrate an outstanding change, with test C coming to 1.1×10 −4 S/m Comparative investigation with related works exhibits the competitive points of interest of the crossover nanocomposites, adjusting with later improvements within the field. Morphological examination through checking and transmission electron microscopy affirms the successful scattering and interconnectivity of cross-breed nanofillers inside the polymer network. Affectability examinations emphasize the significance of preparing parameters in fitting nanocomposite properties, whereas recreation studies give hypothetical bits of knowledge into microstructural angles impacting by and large execution. This study contributes to the advancing scene of hybrid nanocomposite materials, advertising a promising road for the improvement of progressed materials with improved multifunctionality.
  • Renewable Energy Integration for Urban Sustainability A Nanomaterial Perspective
    Mahesh Bhong, Rahul Singh, Pradeep Kumar Singh, Yadaiah Nirsanametla, Rajesh Prasad Verma, Manish Saraswat, Amit Srivastava
    E3s Web of Conferences, 2024
    This research explores the transformative part of nanomaterials in progressing urban maintainability through the integration of renewable vitality frameworks. Synthesized quantum dabs, carbon nanotubes, and graphene were characterized and connected over assorted applications, counting solar vitality saddling, wind vitality improvement, vitality capacity, and urban foundation improvement. In solar cells, the integration of quantum specks resulted in an eminent increment in control transformation proficiency (PCE), with an 85% change in short-circuit current thickness (J sc) and a 20% increment in open-circuit voltage (Voc). Wind turbine edges upgraded with carbon nanotubes displayed a momentous 21% rise in control yield and a 40% advancement in soundness, emphasizing the potential of nanomaterials in optimizing wind vitality frameworks. Graphene-based supercapacitors illustrated a multiplied particular capacitance and a 10% increment in cyclic solidness, underscoring the adequacy of nanomaterials in vitality capacity applications. The consolidation of nanocomposite building materials showcased a 44% diminishment in warm conductivity, contributing to made strides cover for maintainable urban foundations. Nanosensors, coordinated into smart frameworks, showed a prevalent 80% increment in affectability and a 50% lessening in reaction time compared to customary sensors.
  • Retraction Notice: Renewable Energy Integration for Urban Sustainability A Nanomaterial Perspective (E3S Web of Conferences (2024) 511 (01034) DOI: 10.1051/e3sconf/202451101034)
    Mahesh Bhong, Rahul Singh, Pradeep Kumar Singh, Yadaiah Nirsanametla, Rajesh Prasad Verma, Manish Saraswat, Amit Srivastava
    E3s Web of Conferences, 2024
    We take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical computer-generated publication with a number of tortured phrases and irrelevant references. Additional measures have been implemented to prevent these issues from reoccurring. EDP Sciences is extremely grateful to anonymous whistleblowers and the Problematic Paper Screener [1] for bringing this case to our attention for further investigations.
  • Reinventing Production: A Case Study on implementing the strategic Innovations in Sustainable Remanufacturing
    Aman Sharma, Mahesh Bhong, Pravin P. Patil, Manish Saraswat, S. Vinod Kumar, Manjunatha, Hussein Ghafel Shakier
    E3s Web of Conferences, 2023
    The understanding of sustainable remanufacturing as an innovative method has come about as a solution to the ecological difficulties posed by industrial manufacturing. The present study investigates the concept of industrial reinvention via a review of novel practices in the field of remanufacturing. Remanufacturing is an organizational strategy that seeks to increase the operational lifecycle of items, hence reducing the production of waste and maximizing resource use. The remanufacturing process includes a thorough set of phases, involving removal, repair, and enhancement, with the goal of rebuilding already utilized products to their former functionality as well as performance standards. This study examines the current state of procedures, methods, and strategies that contribute to the evolution of the remanufacturing operation in an environmentally friendly form. The abstract underlines the urgent requirement for sustainable solutions in industrial production as a response to problems with the environment. The idea of remanufacturing has been suggested as an effective way to solve these issues. This recent discussion presents an easy-to-understand representation of the remanufacturing process, emphasizing its essential relevance in increasing the lifespan of goods and decreasing the production of waste. The subsequent section of the abstract describes the primary objective of the research, which is the investigation of novel methods in the field of green remanufacturing. The paper aims to investigate multiple methods, tools, and strategies that are currently impacting the emergence of remanufacturing companies.
  • Key Enabler on Efficient Resource Utilization: Technical and Managerial Investigations for Sustainable Materials and Energy Management
    Rajat Yadav, Mahesh Bhong, Upendra Singh Aswal, Mukesh Kumar, C. Vijayendar Reddy, B. Rajalakshmi, Hamza Jasim Albazoni
    E3s Web of Conferences, 2023
    In a time characterised by increasing environmental apprehensions and the necessity for sustainable progress, the effective utilisation of resources has become a crucial mandate for enterprises, governments, and communities alike. This summary presents a comprehensive examination of the several techniques and practises that are crucial in attaining sustainable materials and energy management. Efficient resource utilisation comprises a wide range of ideas and practises, which include but are not limited to material efficiency, energy conservation, waste reduction, and measures related to the circular economy. This study examines the fundamental elements of these methods, emphasising the significance of resource optimisation and its contribution to the reduction of environmental consequences linked to resource extraction and use. The achievement of efficient resource management is contingent upon the implementation of robust policy frameworks, the exercise of corporate responsibility, and the cultivation of consumer awareness. The significance of lifecycle assessments (LCAs) and the incorporation of eco-design concepts into the process of product creation is underscored in order to mitigate resource consumption and environmental consequences from the very beginning. The adoption of circular economy models, characterised by the conservation, reuse, and recycling of resources within a closed-loop system, holds significant potential for enhancing resource efficiency. In this paper, we elucidate the advantages associated with the adoption of circular economy practises and provide illustrative examples of organisations that have effectively implemented these concepts. In the context of a world with limited resources, organisations that prioritise efficient resource utilisation not only adhere to ethical principles but also gain a strategic edge, enhancing their prospects for long-term viability. These abstract lays the groundwork for further investigation into the diverse tactics and technologies that have the potential to drive us towards a future that is more sustainable and efficient in terms of resource utilisation.
  • Deep Learning Analytics and Operations Research: Models, Applications and Managerial Implications
    K. Vijayalakshmi, Kushagra Kulshreshtha, Mahesh Bhong, Durgeshwar Pratap Singh, C Praveen Kumar, Vijay Bhutani
    Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023, 2023
    Business analytics refers to the processes, strategies, and procedures that are utilised to derive value for individuals, organisations, and organisations from data. In today's fast-paced and more globalised digital economy, it is essential for decision-making to be driven more by data and to be supported by artificial intelligence (AI) and machine learning (ML). Deep learning (DL) does offer a number of benefits, but it also has a number of limitations that have, up to this point, prohibited businesses from making widespread use of it. Deep neural networks offer the potential of surpassing models from standard machine learning in terms of prediction accuracy, which is one of the reasons why the introduction of deep learning has led this area to undergo a major transformation. This is one of the reasons why the introduction of deep learning has caused this field to undergo a considerable shift. However, according to the findings of our review of the body of recently published research, the number of papers relevant to our industry that make use of operations research is quite low. Consequently, the objectives of this study provide an overview. In a few different case studies, we look at the value that operations research brings to the table by using real data from real-world business activities. Every one of these instances demonstrates improvements in operations research performance above what is possible with traditional machine learning, which ultimately results in gains in direct value. In this paper, we present academics, managers, and practitioners in the field of operations research who are interested in developing their abilities in deep learning and business analytics with suggestions and implications. Our computational investigations highlight the need of bespoke architectures by recommending a one-of-a-kind deep-embedded network as a solution to the problem that standard, out-of-the-box solutions are often not satisfactory.
  • Mg-based metal matrix composite in biomedical applications: A review
    S. Mohanasundaram, Mahesh Bhong, Ghanshyam Vatsa, Rajesh Prasad Verma, Mahima Srivastava, Gaurav Kumar, Kahtan A. Mohammed, Devender Singh, Lovi Raj Gupta
    Materials Today Proceedings, 2023
  • Profile drying: A novel multistage convection drying method for indian dark red onion slices
    Mahesh G. BHONG, Vinayak M. KALE
    Journal of Thermal Engineering, 2022
    Drying increase shelf life and preserve nutritional value. Convection drying experiments are conducted at different novel multistage drying profiles and at constant 60°C temperature. Velocity varied in the range of 2, 3.6, 5.7, and 7.7 m/s for the dark Indian dark red onion. The objective is to analyse the multistage novel convection profile drying method for onion slices at high velocity. The constant 60°C air-drying process consumes 18.88% to 34.98% more energy than multistage drying profiles for the 360 minutes of convection drying. The arithmetic mean of effective moisture diffusivity lies between 1.002396 × 10-12 to 7.898936 × 10-11. A better drying rate is found for constant 60°C constant temperature, but higher activation energy (1.23710647 to 1.8186585 kJ/mol) is required than drying profiles. The rehydration ratio of the profile is observed to be higher and rises uniformly with time compared to a constant 60°C. In the proximate analysis, it was observed that crude FAT, Carbohydrate, total energy, Potassium, and Calcium contents are increased on the onion’s drying. Total ash content and total mineral content were detected to be decreased with
  • A novel thin-layer model for drying of Indian dark red onion slices at high velocity
    Mahesh G. Bhong, Vinayak M. Kale
    Journal of Food Process Engineering, 2020
    Thin‐layer equations for drying have been used to estimate drying duration for numerous agricultural produces. In the present work, a novel thin‐layer model is proposed based on drying duration, velocity, and temperature. Model results are compared with experimental and 11 models to simulate drying at four high air velocity (2, 3.6, 5.7, and 7.7 m/s) for Indian dark red onion slices. The experimental effective moisture diffusivity rises with the rise in velocity and it is observed between 1.096646 × 10−11 and 1.295467 × 10−11. Predicted moisture ratio demonstrates good agreement to experimental moisture ratio with the adjusted R2 0.9916 and R2 0.9921.Practical applicationsIn the Food Industry, mass production is an indispensable objective. To achieve targeted production in limited time, hot air at higher velocity plays a vital role. This paper is written to focus the results of proposed mathematical modeling of Indian dark red onion slices at high air velocity (2, 3.6, 5.7, and 7.7 m/s). The proposed mathematical model simulates drying behavior considering the combined effect of drying duration, velocity, and temperature.
  • Drying mechanism of Indian dark red onion slices at high velocity
    Mahesh G. Bhong, , Vinayak M. Kale, and
    Aims Agriculture and Food, 2020

RECENT SCHOLAR PUBLICATIONS

  • Retraction Notice: Renewable Energy Integration for Urban Sustainability A Nanomaterial Perspective
    M Bhong, R Singh, PK Singh, Y Nirsanametla, RP Verma, M Saraswat, ...
    E3S Web of Conferences 511, 01045 , 2024
    2024
  • Investigating the synergistic effects of hybrid nanofillers in polymer matrix nanocomposites for superior mechanical and electrical performance
    M Bhong, Y Nirsanametla, J Gudainiyan, R Kumar, PP Patil, VK Yadav, ...
    E3S Web of Conferences 511, 01026 , 2024
    2024
    Citations: 6
  • RETRACTED: Renewable Energy Integration for Urban Sustainability A Nanomaterial Perspective
    M Bhong, R Singh, PK Singh, Y Nirsanametla, RP Verma, M Saraswat, ...
    E3S Web of Conferences 511, 01034 , 2024
    2024
    Citations: 1
  • Model for facilitative practical learning in engineering education under India’s NewEducation policy (NEP): a stepwise framework
    SB Ingole, KD Devade, M Bhong
    Educ Adm Theory Pract 30, 739-746 , 2024
    2024
    Citations: 3
  • Review of composite materials and applications
    M Bhong, TKH Khan, K Devade, BV Krishna, S Sura, HK Eftikhaar, ...
    Materials today: proceedings , 2023
    2023
    Citations: 252
  • Deep Learning Analytics and Operations Research: Models, Applications and Managerial Implications
    K Vijayalakshmi, K Kulshreshtha, M Bhong, DP Singh, CP Kumar, ...
    2023 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 4
  • Reinventing production: a case study on implementing the strategic innovations in sustainable remanufacturing
    A Sharma, M Bhong, PP Patil, M Saraswat, S Vinod Kumar, Manjunatha, ...
    E3S Web of Conferences 453, 01022 , 2023
    2023
    Citations: 2
  • Mg-based metal matrix composite in biomedical applications: A review
    LRG S. Mohanasundaram, Mahesh Bhong , Ghanshyam Vatsa , Rajesh Prasad Verma ...
    Materials Today: Proceedings , 2023
    2023
    Citations: 21
  • Key Enabler on Efficient Resource Utilization: Technical and Managerial Investigations for Sustainable Materials and Energy Management
    R Yadav, M Bhong, US Aswal, M Kumar, CV Reddy, B Rajalakshmi, ...
    E3S Web of Conferences 453, 01023 , 2023
    2023
    Citations: 2
  • Sewage Treatment Plant (STP): Industry 4.0 Case Study switch from Breakdown to Predictive Maintenance
    SI Kiran Devade, Mahesh Bhong, Vinayak Kale
    GIS Science Journal 9 (8), 1329-1337 , 2022
    2022
  • Profile drying: A novel multistage convection drying method for indian dark red onion slices
    MG Bhong, VM Kale
    Journal of Thermal Engineering 8 (2), 169-181 , 2021
    2021
    Citations: 1
  • A novel thin‐layer model for drying of Indian dark red onion slices at high velocity
    MG Bhong, VM Kale
    Journal of Food Process Engineering 43 (2), e13317 , 2020
    2020
    Citations: 10
  • Effect of Temperature at Tray Position on Drying of Dark Red Onion-slices at Elevated Air Velocity
    M Bhong, V Kale
    International Journal of Engineering and Advanced Technology 9 (4), 293-296 , 2020
    2020
  • Drying mechanism of Indian dark red onion slices at high velocity
    MG Bhong, VM Kale
    AIMS Agriculture and Food 5 (2), 245-261 , 2020
    2020
    Citations: 6
  • Evaluation of Drying Characteristics for Ginger in Forced Convection Dryer
    T Tamboli, M Bhong
    International Journal of Innovations in Engineering Research and Technology, 1-8 , 2019
    2019
  • A Speculative Process of Developing Model Through Dimensional Analysis: A Case Study
    MG Bhong, VM Kale
    International Journal of Innovations in Engineering Research and Technology, 1-4 , 2019
    2019
  • Forced Convective Drying Of Potato Chips with Air Recirculation
    H Waskale, M Bhong
    2019
    Citations: 2
  • Review on different drying methods: Applications & advancements
    TG Tamboli, MG Bhong
    International Journal on Theoretical and Applied Research in Mechanical … , 2018
    2018
    Citations: 8
  • Experimental RGB and CIE lab colour space analysis and comparison for fruits and vegetables
    H Waskale, M Bhong
    J Emerg Technol Innov Res 4, 1-4 , 2017
    2017
    Citations: 10
  • physicochemical and colour properties changes in fruits and vegetables during drying process: A review
    HS Waskale, M Bhong
    International Journal of Innovations in Engineering Research and Technology … , 2017
    2017
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Review of composite materials and applications
    M Bhong, TKH Khan, K Devade, BV Krishna, S Sura, HK Eftikhaar, ...
    Materials today: proceedings , 2023
    2023
    Citations: 252
  • Mg-based metal matrix composite in biomedical applications: A review
    LRG S. Mohanasundaram, Mahesh Bhong , Ghanshyam Vatsa , Rajesh Prasad Verma ...
    Materials Today: Proceedings , 2023
    2023
    Citations: 21
  • A novel thin‐layer model for drying of Indian dark red onion slices at high velocity
    MG Bhong, VM Kale
    Journal of Food Process Engineering 43 (2), e13317 , 2020
    2020
    Citations: 10
  • Experimental RGB and CIE lab colour space analysis and comparison for fruits and vegetables
    H Waskale, M Bhong
    J Emerg Technol Innov Res 4, 1-4 , 2017
    2017
    Citations: 10
  • Review on different drying methods: Applications & advancements
    TG Tamboli, MG Bhong
    International Journal on Theoretical and Applied Research in Mechanical … , 2018
    2018
    Citations: 8
  • Investigating the synergistic effects of hybrid nanofillers in polymer matrix nanocomposites for superior mechanical and electrical performance
    M Bhong, Y Nirsanametla, J Gudainiyan, R Kumar, PP Patil, VK Yadav, ...
    E3S Web of Conferences 511, 01026 , 2024
    2024
    Citations: 6
  • Drying mechanism of Indian dark red onion slices at high velocity
    MG Bhong, VM Kale
    AIMS Agriculture and Food 5 (2), 245-261 , 2020
    2020
    Citations: 6
  • Deep Learning Analytics and Operations Research: Models, Applications and Managerial Implications
    K Vijayalakshmi, K Kulshreshtha, M Bhong, DP Singh, CP Kumar, ...
    2023 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 4
  • Model for facilitative practical learning in engineering education under India’s NewEducation policy (NEP): a stepwise framework
    SB Ingole, KD Devade, M Bhong
    Educ Adm Theory Pract 30, 739-746 , 2024
    2024
    Citations: 3
  • physicochemical and colour properties changes in fruits and vegetables during drying process: A review
    HS Waskale, M Bhong
    International Journal of Innovations in Engineering Research and Technology … , 2017
    2017
    Citations: 3
  • Ef fect of V ariable Compression Ratio on The Performance of A Diesel Engine Fuelled With Diesel and Oxygenated Additives Blending
    C Gosavi, M Bhong
    International Journal of Innovative Research in Technology 2 (11), 324-330 , 2016
    2016
    Citations: 3
  • Effect of Variable Compression Ratio on The Performance of A Diesel Engine Fuelled With Diesel and Oxygenated Additives Blending
    MCK Gosavi, M Bhong
    2016
    Citations: 3
  • Experimental Analysis of Recirculation Type Solar Air Dryer
    PS Purandare, MG Bhong, AP Kulkarni
    International Journal of Recent Scientific Research 4 (8), 1175- 1180 , 2013
    2013
    Citations: 3
  • Reinventing production: a case study on implementing the strategic innovations in sustainable remanufacturing
    A Sharma, M Bhong, PP Patil, M Saraswat, S Vinod Kumar, Manjunatha, ...
    E3S Web of Conferences 453, 01022 , 2023
    2023
    Citations: 2
  • Key Enabler on Efficient Resource Utilization: Technical and Managerial Investigations for Sustainable Materials and Energy Management
    R Yadav, M Bhong, US Aswal, M Kumar, CV Reddy, B Rajalakshmi, ...
    E3S Web of Conferences 453, 01023 , 2023
    2023
    Citations: 2
  • Forced Convective Drying Of Potato Chips with Air Recirculation
    H Waskale, M Bhong
    2019
    Citations: 2
  • Thermal performance of long evaporative section acetone fluid thermosyphon used in solar water heating system
    HK Jha, M Bhong
    International Engineering Research Journal (IERJ), 1905-1908 , 2015
    2015
    Citations: 2
  • RETRACTED: Renewable Energy Integration for Urban Sustainability A Nanomaterial Perspective
    M Bhong, R Singh, PK Singh, Y Nirsanametla, RP Verma, M Saraswat, ...
    E3S Web of Conferences 511, 01034 , 2024
    2024
    Citations: 1
  • Profile drying: A novel multistage convection drying method for indian dark red onion slices
    MG Bhong, VM Kale
    Journal of Thermal Engineering 8 (2), 169-181 , 2021
    2021
    Citations: 1
  • Experimental analysis of solar collector with single pass at dif ferent mass flow rates
    P Tripathi, M Bhong
    International Journal for Scientific Research & Development ( IJSAR T) 1 (11 … , 2015
    2015
    Citations: 1