Amol MANGRULKAR

@mctrgit.ac.in

ASSISTANT PROFESSOR MECHANICAL ENGINEERING
mct rajiv gandhi institute of technology



                       

https://researchid.co/amol.mangrulkar

r Amol L. Mangrulkar received his Ph.D. in Technology from Sardar Patel College of Engineering, Mumbai. He is an Industrial, academician, mentor, consultant, and freelancer by profession with over 30+ years of experience, working in companies like Tech Mahindra, Zensar Technologies, Genesys International, Rolta India Ltd, ADCC InfoCAD, JBF, ACC, etc,. He has served in industries in various positions as a Project Manager, Oracle Consultant, senior software Executive, and CAD Executive, and in academics and research as an Assistant Professor at MCT’s Rajiv Gandhi Institute of Technology, Mumbai in the Mechanical Engineering Department of esteemed engineering college in Maharashtra. His research area includes the development of computational modeling, Simulation, CFD/CAE, ML/DL, CAD/CAM, and industrial automation. His research findings have been published in SCIE, Springer, and SCOPUS-indexed international journals and conferences. He has published 19 Indian patents and written 7 books w

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Multidisciplinary, Computer Vision and Pattern Recognition, Artificial Intelligence

9

Scopus Publications

111

Scholar Citations

5

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Automatic skull prototyping framework for damage detection and repairing using computer vision and deep learning techniques
    Amol Mangrulkar, Santosh B. Rane, and Vivek Sunnapwar

    Springer Science and Business Media LLC

  • Assessment of Bioprocess Development-Based Modeling and Simulation in a Sustainable Environment
    R. Satish Kumar, B. Nageswara Rao, M. Prameela, S. Peniel Pauldoss, Amol L. Mangrulkar, Saleh H. Salmen, Sami Al Obaid, S. Sappireamaniyan, and Kibrom Menasbo Hadish

    Hindawi Limited
    Modeling and simulation help us gain a better knowledge of chemical systems and develop obstacles and improvement opportunities. In the initial stages of systems integration, the time and money constraints prevent more precise estimates, basic simulation software that provides a reasonable approximation of energy and material usage and procedure exhaust is typically useful. Every next era of technicians will confront a new set of difficulties, including developing new biochemical reactions with high sensitivity and selectivity for pharmaceutical industries and manufacturing lesser chemicals from biomass resources. This job will need the use of operational process systems integration development tools. The existing toolsneed improvement so that they could be used to examine operations against sustainability principles as well as profitability. Eventually, characteristic models for substances that aren’t presently in collections will be necessary. In the field of integrated bioprocesses, there will undoubtedly be a plethora of new prospects for process systems engineering. The financial and environmental evaluations were based on a generic methodology for collecting first-estimate stock levels. The time it takes to do the evaluation may be cut in half, and a wider number of choices could be explored. A valuable commitment to sustainability bioprocess modeling and evaluation can be made by using a first-approximation numerical method as the basis for financial and environmental evaluations.

  • Parametric effect and taguchi optimization of cryogenic treatment of strenx steel
    S. Muthukumaran, M. Ramarao, S. Shanmugasundaram, Lavish Kumar Singh, Amol L. Mangrulkar, and K. Arunprasath

    Elsevier BV

  • Influence of B<inf>4</inf>C on mechanical properties of AZ91 magnesium matrix composites
    G. Pitchayyapillai, M. Jinnah Sheik Mohamed, G. Dhanraj, R. Malkiya Rasalin Prince, M. Rajeshwaran, and Amol Mangrulkar

    Elsevier BV

  • Experimental Investigations on Mechanical Properties of AZ31/Eggshell Particle-Based Magnesium Composites
    N. Ramanujam, S. Muthukumaran, B. Nagesawara Rao, M. Ramarao, Amol L. Mangrulkar, K. S. Ashraff Ali, L. Pugazhendhi, and Mebratu Markos

    Hindawi Limited
    Magnesium (AZ31) is an excellent choice for a bionic implant. To enhance biocompatibility, the hardest graphene nanoparticles were reinforced with biocompatible materials. In this paper, biocompatibility composite material is produced by stir-casting nanoshell particles reinforced with various weight percentages (0, 1, 2, 3, and 4 wt. percent) of AZ31 magnesium alloy. To understand the mechanical properties of the composite material, results of which are compared to the base alloy (AZ31) are used. The study mentioned how AZ31 magnesium alloy, reinforced with reinforcing particles, may be used to create implant-related human bone materials. Magnesium alloy reinforced with reinforcing particles is described in the study.

  • Automated skull damage detection from assembled skull model using computer vision and machine learning
    Amol Mangrulkar, Santosh B. Rane, and Vivek Sunnapwar

    Springer Science and Business Media LLC

  • Evaluation of Mechanical Properties of Sisal and Bamboo Fibres Reinforced with Polymer Matrix Composites Prepared by Compression Moulding Process
    S. Krishna Mohan, Arul Thayammal Ganesan, M. Ramarao, Amol L. Mangrulkar, S. Rajesh, Sami Al Obaid, Saleh Alfarraj, S. Sivakumar, and Manikandan Ganesan

    Wiley
    Today’s modern, dynamic world would be impossible to imagine without the concept of composite material advancement. Various studies are being conducted in this area in order to reach the desired level. In terms of compatibility, natural fibre reinforced polymer‐based composites and synthetic fibre composites are very similar. Because they are lightweight, nontoxic, and nonabrasive, they are very popular with consumers. They are also readily available and affordable. Composite materials made from natural fibre have superior mechanical properties compared to those made from synthetic fibre. As part of this research, an epoxy‐based composite with bamboo and sisal fibre reinforcement is examined. Reinforced with epoxy resin, bamboo fibre and sisal fibre are used to make composite materials. The effect of adding bamboo fibre and sisal fibre in various weight percentages on the mechanical behaviour of composites is investigated.

  • Image-based bio-cad modeling: Overview, scope, and challenges
    Amol Mangrulkar, Santosh Rane, and Vivek Sunnapwar

    IOP Publishing
    Abstract CAD used to facilitate engineering design, modeling, simulation, analysis, and manufacturing. Recent advancement in computer graphics, medical imaging, and Image processing created new ways for CAD in the design, modeling, and development of many novels and essential biomedical and non-biomedical applications. The Biomedical use to develop implant, scaffold, prostheses, surgical guide, and other medical devices. The non-medical use in forensic, anthropology, passenger safety product design, and impact analysis. This review article gives an overview of various recent approaches for the development of virtual Bio-CAD models from high resolution medical images. It shows how to choose the appropriate path as per the application's requirement in terms of its complexity and capturing features. Key publications from the reputed peer-reviewed journals and books have been reviewed and presented a different approach to develop Bio-CAD models from non-invasive medical imaging data. Different methods used to develop the interfaces are biomedical software, STL interface, and reverse engineering discussed from various research study have been explored. Recent advances in state-of-art technology such as CAD, medical imaging, and image processing, and reverse engineering techniques made it possible to easily reconstruct the 3D CAD models, which will be useful for other downstream applications. This study concludes that the Bio-CAD model plays a dominant role in all downstream applications for the design, analysis, simulation, and manufacturing of complex biomimetic scaffold, patient-specific implants, surgical guides, prosthesis, organ bio blueprints, and other biomedical models. The outcome from the literature review strongly suggested that Bio-CAD modeling will soon be the future for all medical practitioners, biomedical engineers, and manufacturers and will use in all computer-assisted surgery and planning. This paper is beneficial to study the development of Bio-CAD models techniques and its applications in design, modeling, analysis, and manufacturing of biomedical and nonbiomedical researchers.

  • Computer vision methods for fragmented skull prototyping: Bio-CAD application
    Amol Mangrulkar, Santosh Rane, and Vivek Sunnapwar

    IEEE
    In biomedical domain, human skull fractures caused by accidents or any other reasons are required to reassemble. The process of reassembling the fragmented skulls is called skull prototyping or skull completion, followed by the skull repairing process. In the human body, skulls are the regions that are fragmented along a wide range of geometric information that may be fragile. Resolved skull has been supposed to possess higher conformity, particularly under the area of frontal facial along the subtle substrate. With the development of the computer-aided design (CAD) tool, it is possible to complete the fragmented skulls and/or repair damaged skulls using the various computer vision techniques. The bio-CAD methods are introduced for fragmented skull completion and/or damaged skull repairing. This paper has presented a study of various skull prototyping methods. The main focus of this study is to review the computer vision techniques used for human skull prototyping. A systematic study of the state of methods and their comparative analysis is presented in this paper. The automatic skull completion and/or repairing identified as the critical challenge and requirement according to the reviewed literature.

RECENT SCHOLAR PUBLICATIONS

  • Exploring Nanotechnology's Influence On Cross-Industry Transformation: Financial Performance, Human Capital, And Market Dynamics Impacts
    DPN Utkal Suresh Patil1 , Dr. T. Amutha2 , Dr. Rashmi Paranjpye3 , Ainsley ...
    Nanotechnology Perceptions 20 (11), 707-718 2024

  • Efficient Development of Kids’ AFO
    VS Dr. Amol Laxman Mangrulkar Aishwary Amol Kakodkar, Rugved Raote ...
    International Journal of Engineering Research & Technology (IJERT) 13 (07) 2024

  • A Review on Composite Materials Reinforcing with Organic/Natural Materials
    S Arunkumar, P Bharathvaaj, RK Mathubalan, S Logesh
    International Research Journal on Advanced Engineering and Management 2024

  • A Review of Machine Learning-Based Routing Protocols for Wireless Sensor Network Lifetime
    AR Gaidhani, AD Potgantwar
    Engineering Proceedings 59 (1), 231 2024

  • Automatic skull prototyping framework for damage detection and repairing using computer vision and deep learning techniques
    A Mangrulkar, SB Rane, V Sunnapwar
    International Journal of Information Technology 14 (7), 3527-3537 2022

  • A Coupled Earth to Air Heat Exchanger for Assessment of Non Active Structural Cooling
    V Thanigaivelan, BN Rao, RS Kumar, K Umadevi, AL Mangrulkar
    Journal of Algebraic Statistics 13 (3), 4931-4937 2022

  • Assessment of Bioprocess Development‐Based Modeling and Simulation in a Sustainable Environment
    R Satish Kumar, BN Rao, M Prameela, SP Pauldoss, AL Mangrulkar, ...
    International Journal of Photoenergy 2022 (1), 6428740 2022

  • Parametric effect and taguchi optimization of cryogenic treatment of strenx steel
    S Muthukumaran, M Ramarao, S Shanmugasundaram, LK Singh, ...
    Materials Today: Proceedings 66, 725-730 2022

  • Experimental Investigations on Mechanical Properties of AZ31/Eggshell Particle‐Based Magnesium Composites
    N Ramanujam, S Muthukumaran, B Nagesawara Rao, M Ramarao, ...
    Advances in Materials Science and Engineering 2022 (1), 4883764 2022

  • Influence of B4C on mechanical properties of AZ91 magnesium matrix composites
    G Pitchayyapillai, MJS Mohamed, G Dhanraj, RMR Prince, ...
    Materials Today: Proceedings 59, 1438-1441 2022

  • Automated skull damage detection from assembled skull model using computer vision and machine learning
    A Mangrulkar, SB Rane, V Sunnapwar
    International Journal of Information Technology 13, 1785-1790 2021

  • Definitions for Mechanical Engineering Textbook - Volume1 Authors
    MJNDKVVDRSS all 5 authorsAmol MangrulkarAmol Mangrulkar
    ROYAL BOOK PUBLISHER INTERNATIONAL 2021

  • Optimal Design and Analysis of Impact Energy of Automobile on Environment
    S Sathish, M Ramarao, SM Sanjay Kumar, RS Varatharaju Perumal, ...
    Design Engineering, 2104-2111 2021

  • Design and Fabrication of Low-Speed Wind Tunnel
    A Patil, K Kulkrni
    SMART MOVES JOURNAL IJOSCIENCE, 11-19 2021

  • Evaluation of mechanical properties of sisal and bamboo fibres reinforced with polymer matrix composites prepared by compression moulding process
    SK Mohan, AT Ganesan, M Ramarao, AL Mangrulkar, S Rajesh, ...
    Advances in Materials Science and Engineering 2021 (1), 2832149 2021

  • Image-based bio-cad modeling: overview, scope, and challenges
    A Mangrulkar, S Rane, V Sunnapwar
    Journal of Physics: Conference Series 1706 (1), 012189 2020

  • Computer vision methods for fragmented skull prototyping: Bio-CAD application
    A Mangrulkar, S Rane, V Sunnapwar
    2020 Third International Conference on Smart Systems and Inventive 2020

  • Design Optimization of Plastic Injection Mould for Additive Manufacturing
    IB Prasad Mastakar, R Mhatre, C Sawant, A Mangrulkar
    2020

  • Design and fabrication of an open circuit subsonic wind tunnel for educational purposes
    AL Mangrulkar, S Bagade, S Chavan, J Babani, S Bhagat
    Int Res J Eng Technol (IRJET) 6 (04), 2395-0056 2019

  • Condition Based monitoring system using IoT
    KM Amol Mangrulkar
    International Journal of Applied Engineering Research 23 (12), 10186-10190 2018

MOST CITED SCHOLAR PUBLICATIONS

  • Aerodynamic analysis of a car model using Fluent-Ansys 14.5
    A Parab, A Sakarwala, B Paste, V Patil, A Mangrulkar
    International Journal on Recent Technologies in Mechanical and Electrical 2014
    Citations: 48

  • Automated skull damage detection from assembled skull model using computer vision and machine learning
    A Mangrulkar, SB Rane, V Sunnapwar
    International Journal of Information Technology 13, 1785-1790 2021
    Citations: 17

  • Influence of B4C on mechanical properties of AZ91 magnesium matrix composites
    G Pitchayyapillai, MJS Mohamed, G Dhanraj, RMR Prince, ...
    Materials Today: Proceedings 59, 1438-1441 2022
    Citations: 13

  • Experimental Investigations on Mechanical Properties of AZ31/Eggshell Particle‐Based Magnesium Composites
    N Ramanujam, S Muthukumaran, B Nagesawara Rao, M Ramarao, ...
    Advances in Materials Science and Engineering 2022 (1), 4883764 2022
    Citations: 9

  • Evaluation of mechanical properties of sisal and bamboo fibres reinforced with polymer matrix composites prepared by compression moulding process
    SK Mohan, AT Ganesan, M Ramarao, AL Mangrulkar, S Rajesh, ...
    Advances in Materials Science and Engineering 2021 (1), 2832149 2021
    Citations: 5

  • Image-based bio-cad modeling: overview, scope, and challenges
    A Mangrulkar, S Rane, V Sunnapwar
    Journal of Physics: Conference Series 1706 (1), 012189 2020
    Citations: 5

  • CFD Analysis on Aerodynamics of an Automobile Body
    D Patel, J Jangid, Y Devani, S Goswami, M Vachhani
    International Journal of Scientific Research in Science, Engineering and 2018
    Citations: 3

  • A Review of Machine Learning-Based Routing Protocols for Wireless Sensor Network Lifetime
    AR Gaidhani, AD Potgantwar
    Engineering Proceedings 59 (1), 231 2024
    Citations: 2

  • Automatic skull prototyping framework for damage detection and repairing using computer vision and deep learning techniques
    A Mangrulkar, SB Rane, V Sunnapwar
    International Journal of Information Technology 14 (7), 3527-3537 2022
    Citations: 2

  • Computer vision methods for fragmented skull prototyping: Bio-CAD application
    A Mangrulkar, S Rane, V Sunnapwar
    2020 Third International Conference on Smart Systems and Inventive 2020
    Citations: 2

  • Design and fabrication of an open circuit subsonic wind tunnel for educational purposes
    AL Mangrulkar, S Bagade, S Chavan, J Babani, S Bhagat
    Int Res J Eng Technol (IRJET) 6 (04), 2395-0056 2019
    Citations: 2

  • CFD analysis of the flow variation due to addition of aerodynamic devices on underbody of Renault Duster using Fluent-Ansys 14.5
    P Akshay, S Ammar, P Bhushan, P Vaibhav
    International Journal of Engineering Research & Technology (IJERT) 2015
    Citations: 2

  • Design and Fabrication of Low-Speed Wind Tunnel
    A Patil, K Kulkrni
    SMART MOVES JOURNAL IJOSCIENCE, 11-19 2021
    Citations: 1

GRANT DETAILS

rs 23, 00,000 mumbai university

INDUSTRY EXPERIENCE

15 years
tech mahindra 2 years

zenar technologies 6 months

rolta India lts 4 years

jbf industries 5 years 6 months

ACC cements 1 years