Suhas Deshmukh
@gcekarad.ac.in
Associate Professor Mechanical Engineering
Government College of Engineering Karad
EDUCATION
2012 Certified Energy Auditor & Manager, Bureau of Energy Efficiency (BEE)
2004-2010 PhD (IIT Bombay), Mechanical Engineering
1999-2000 M.E. (Mechanical-Design Engineering), Walchand College of Engineering, Sangli
1994-1998 B.E. (Mechanical), Dr. JJMCOE, Jaysingpur, Shivaji University, Kolhapur
RESEARCH INTERESTS
MEMS, Mechatronics, Energy Analysis, Design Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Mahendra K. Dawane, G. M. Malwatkar, and Suhas P. Deshmukh
Frontier Scientific Publishing Pte Ltd
<p>Sliding mode control has emerged as a valuable technique for enhancing dynamic response in various fields, including load frequency regulation and remote vehicle applications. While the widely adopted PID controller has proven effective for optimizing control tasks in industries, sliding mode control offers distinct advantages. By controlling the slope of the dynamical trends of state variable behavior, it enables rapid dynamic response with minimal or no overshoot, as well as negligible steady-state error. The robustness of sliding mode control, which makes it highly resilient to changes in plant parameters and outside disturbances, is one of its main advantages. A digital computer simulation was run using Simulink in the MATLAB software, concentrating on a position control system using an armature voltage-controlled D.C. servo motor to assess how well it performed. To learn more about the operation of sliding mode control, several control laws were used and state trajectories were examined. When compared to the conventional tuned PID control, the findings and discussion conclusively show sliding mode control to be more successful. The sliding mode technique has exceptional effectiveness, including enhanced dynamic response, less overshoot, and almost no steady-state error. Furthermore, its robust nature ensures consistent operation even in the face of parameter fluctuations and external disturbances. This study underscores the immense potential of sliding mode control as a powerful alternative to conventional control methods. Its ability to enhance system performance, coupled with its inherent robustness, makes it a compelling choice for various industrial applications where precise control and resilient operation are crucial.</p>
Baban K. Suryatal, Sunil S. Sarawade, and Suhas P. Deshmukh
Springer Science and Business Media LLC
Mahendra K. Dawane, G.M. Malwatkar, Suhas P. Deshmukh, and Devendra Chouhan
IEEE
To improve the precision and robustness of control systems, this paper investigates the integration of three different control methodologies: Proportional-Integral-Derivative (PID) control, sliding motion control, and machine learning. The introduction starts by outlining the historical progression of control systems and highlighting their growing significance in contemporary technology. These integrated control strategies are at the centre of the research. The effectiveness of PID control as a solid foundation is first demonstrated through real-world applications and success stories, which provide insights into its principles, advantages, and disadvantages. The next step is to introduce sliding motion control to improve the adaptability of control systems, particularly in handling complex dynamics and uncertainties. It is presented as an addition to PID control, and real-world examples show how adaptable and responsive it is. The importance of machine learning's ability to learn from data and adapt to changing environments is emphasised as the role of machine learning in control systems is thoroughly examined. It is viewed as a tool for performance improvement and optimisation, supported by real-world examples that show the sophistication of control systems. The integration of these three methodologies, emphasising the theoretical underpinnings and methodologies of this approach, forms the core of the research. Through case studies spanning numerous industries, such as industrial automation, robotics, aerospace, and autonomous vehicles, it elaborates on the advantages of such integration, particularly in terms of achieving precision and robustness.
Sanket Sharad Chaudhari, Kiran Suresh Bhole, Santosh Rane, and Suhas Deshmukh
Elsevier BV
Baban K. Suryatal, Sunil S. Sarawade, and Suhas P. Deshmukh
Elsevier BV
Nilesh Dhobale, Sharad S. Mulik, and Suhas P. Deshmukh
Springer Science and Business Media LLC
Nandini Pratap Chavan, Mukund S Kale, Suhas P Deshmukh, and Chetan M Thakar
The Electrochemical Society
Machines are employed in a wide range of industrial applications. All machines are prone to fatigue, wear, deformation, and other effects while in operation. As a result of these effects, the clearance between mating parts increases, the rotor becomes unbalanced, and the shafts become misaligned, all of which contribute to an increase in vibration. Vibration levels rise, eventually leading to the machine's malfunction or breakdown. The machine's performance and quality have a direct impact on its life and dependability. Equipment condition monitoring and fault diagnostics are standard procedures used by processing and manufacturing facilities to monitor machine availability, performance, and dependability. Monitoring machine vibration for fault identification has been demonstrated to be the most effective way for machinery condition monitoring. Fault diagnosis sets the stage for fault tolerance, dependability, and security, all of which are critical design elements in complex engineering systems. This paper presents an overview of recent advancements and progress in the philosophy and concepts of condition monitoring, diagnostics, and failure detection. It's critical to have a good bearing condition monitoring and fault detection system in place so that developing bearing defects may be properly identified and analyzed before they cause further damage to the machine. Because higher signal levels are observed in fault cases, vibration analysis provides a suitable foundation for condition monitoring.
Sumit Pawar, Mukund S Kale, Suhas P Deshmukh, and Chetan M Thakar
The Electrochemical Society
Industry is currently undergoing a transformation towards fully digitalization & intelligentization of manufacturing process. It concerns the strict integration of human in the manufacturing process. This article present a literature review conducted for our knowledge about how industry affects business. The new advanced technology &application are help in increasing productivity. It is a new level of organization & control entire value of chain of life cycle of product. The aim of study to know the tools (lean) of industry 4.0 use of companies. The reason than push companies to use this tools & product. In the lean tools their 101 tools are present which use in industry 4.0.We focused in more details on the main principle & possibilities of it use bin managerial environment. This new stage is called fourth industrial revolution & also called as industry 4.0. Which being along new requirement, for company structure process flow etc.
Snehal V. Warake, Suhas P. Deshmukh, Chetan M. Thakar, and Taufiq A. Mulla
Elsevier BV
Gurudev N Mhetre, Vijay S Jadhav, Suhas P Deshmukh, and Chetan M Thakar
The Electrochemical Society
Additive manufacturing is a new, rapidly emerging technique in the industrial sector. This is the process of creating parts by adding layer by layer material, hence it is called as 'Layer Manufacturing Process.’ This process is also called ‘Rapid Prototyping’ or ‘3DPrinting.’ This is a tool-less manufacturing method that produces parts in less time and with high precision. This process provides freedom for designing the parts and their complexity. Additive manufacturing has many advantages over conventional manufacturing processes like low production cost, no residual stresses, no wastage of material, etc. Nowadays, so much research work is going on in this additive manufacturing field. This manufacturing technology is going to replace the conventional manufacturing techniques in the upcoming days. In this paper, we discuss about the various additive manufacturing methods, its principles, applications, advantages, and challenges to industrial use.
Hrishikesh Sampat Deshmukh, Vijay S Jadhav, Suhas P Deshmukh, and Kedarnath K Rane
The Electrochemical Society
Quality control is one of the tasks involved in the industry that needs reform in the technological field by the use of machine learning. Machine learning will aid in the reduction of human effort and the improvement of product quality. As an emerging field, machine learning can provide a suitable solution for fast and reliable information for quality determination through the use of various algorithms such as neural networks. It improves the efficiency of the machining operations. With the coming of new providers of the internet of things and machine learning technologies, there has been a move from classical approaches of data acquisition to machine learning-based data acquisition methods. This review paper provides information about using ML-based techniques in the quality determination of the products and provides various algorithms that can be used in manufacturing.
Arun Dadasaheb Wakekar, Sushant Hanamantrao Patil, Suhas Deshmukh, and Chetan M Thakar
The Electrochemical Society
In present scenario, light weighting becomes a main issue for energy efficiency in automotive industry. The emission of gases and fuel efficiency of vehicles are two important issues. The best way to improve the fuel efficiency is to decrease the weight of vehicle parts. Research and development played an important role in lightweight materials for decreasing cost, increasing ability to be recycled, enabling their integration into vehicles, and maximizing their fuel economy efficacy. There arises a need for developing a novel generation of materials that will combine both weight reduction and safety issues. The application of carbon fibre reinforced plastic material offers the best lightweight potential to realize lightweight concepts. Carbon fibre reinforced plastic has outstanding specific stiffness, specific strength, and fatigue properties compared to commonly used metals. In automotive industry, the advantages of carbon fibre reinforced plastic are reduction in weight, part integration and reduction, crashworthiness, durability, toughness, and aesthetic appealing. Carbon fibre reinforced plastic is a composite material that has been used extensively in various applications such as aerospace industry, sports equipment, oil and gas industry, and automotive industry. Keeping in view the aforementioned advantages of carbon fibre reinforced plastic, the authors have presented a brief review on carbon fibre for automotive industrial applications.
Anand Dayanand Khandare, Vijay S Jadhav, Suhas P Deshmukh, and Kedarnath K Rane
The Electrochemical Society
As the industry is stepping into industry, 4.0 Digital Twin Technology has been seen as the path for the implementation of virtual manufacturing for the betterment of industry to produce more efficient and reliable products with minimal modification requirements further as per need of the hour for making the product more suitable in the market. Being a rapidly growing technology there is much research work going on it at the current stage in a different form of the industry by utilizing multiple domains of IoT, data acquisition, cloud computing, model and empirical-based design process, etc. This review article will enlighten on the research work done particularly on Digital Twin Technology previously and identify gaps in the research by characterizing the technology on state of concept, terminology, and process associated with it as well as giving a brief idea about how Digital Twin Technology is beneficial to manufacturing.
Chandrakant D. Pawar, Suhas P. Deshmukh, and Chetan M. Thakar
Elsevier BV
Onkar Mestry, Sushant Patil, Niranjan Padwale, Abhijeet Mulik, Sunil Kumar, Suhas Deshmukh, and Ramakant Shrivastava
Elsevier BV
Suhas P. Deshmukh, Ramakant Shrivastava, and Chetan M. Thakar
Elsevier BV
Santosh B. Jadhav, Kishor K Dhande, and Suhas P. Deshmukh
Informa UK Limited
ABSTRACT In precision engineering applications, compliant micropositioning stages with properties of long travel range, high accuracy and compact size are desirable. The majority of the existing research efforts are focused on monolithic compliant positioning stages with above merits. However, the monolithic stages possess a major drawback that failed components cannot be replaced and it requires time-costly machining process, i.e. wire electric discharge machining. To overcome these drawbacks, the stage using the concept of modular design with parallelogram flexure module is proposed. In the modular design, failed components can be easily replaced. The stage is driven by large range voice coil actuators (VCA). The static and dynamic analytical models based on stiffness matrix method are adopted for evaluating the performances of the stage. The accuracy of analytical models is validated by FEA results. Finally, experimental test is carried out to evaluate the performance. The stage provides translational motion of ± 5 mm along working direction and limited cross axes coupling of 10 m in other direction for nonlinear behaviour. The proposed stage has resonant frequency of 15 Hz. The results obtained validate similar static and dynamic performances and trajectory tracking capabilities of the modular micro-positioning stage as that of monolithic stage.
Pralhad Tipole, A. Karthikeyan, Virendra Bhojwani, Suhas Deshmukh, Harshal Babar, and Bharati Tipole
Informa UK Limited
Amit Jomde, Virendra Bhojwani, and Suhas Deshmukh
Informa UK Limited
A linear compressor is well known for its excellent performance in Stirling cryocooler, space application. Minimum linkages, lesser friction points and lower noise characteristics make the linear c...
Baban Suryatal, Suhas Deshmukh, and Sunil Sarawade
Springer Singapore
Baban Suryatal, Sunil Sarawade, and Suhas Deshmukh
International Information and Engineering Technology Association
1 Mechanical Engineering Department, Sinhgad College of Engineering, Vadgaon Bk., Savitribai Phule Pune University, Pune, Maharashtra 411041, India 2 Mechanical Engineering Department, PDEA’s College of Engineering, Manjari Bk., Pune, Maharashtra 412307, India 3 Mechanical Engineering Department, M.E.S. College of Engineering, Pune, Maharashtra 411001, India 4 Mechanical Engineering Department, Government Engineering College, Karad, Maharashtra 415124, India
Mahesh Shewale, Ali Razban, Suhas Deshmukh, and Sharad Mulik
MDPI AG
This article presents a novel concept of the position estimator algorithm for voice coil actuators used in precision scanning applications. Here, a voice coil motor was used as an actuator and a sensor using the position estimator algorithm, which was derived from an electro-mechanical model of a voice coil motor. According to the proposed algorithm, the position of coil relative to the fixed magnet position depends on the current drawn, voltage across coil and motor constant of the voice coil motor. This eliminates the use of a sensor that is an integral part of all feedback control systems. Proposed position estimator was experimentally validated for the voice coil actuator in integration with electro-mechanical modeling of the flexural mechanism. The experimental setup consisted of the flexural mechanism, voice coil actuator, current and voltage monitoring circuitry and its interfacing with PC via a dSPACE DS1104 R&D microcontroller board. Theoretical and experimental results revealed successful implementation of the proposed novel algorithm in the feedback control system with positioning resolution of less than ±5 microns at the scanning speed of more than 5 mm/s. Further, proportional-integral-derivative (PID) control strategy was implemented along with developed algorithm to minimize the error. The position determined by the position estimator algorithm has an accuracy of 99.4% for single direction motion with the experimentally observed position at those instantaneous states.
Santosh B. Jadhav, Kishor K. Dhande, and Suhas P. Deshmukh
Springer International Publishing
Shrishail Sollapur, M.S. Patil, and S.P. Deshmukh
Elsevier BV