Avinash Maruti Badadhe
@jspmrscoe.edu.in
Professor & Head Mech Engg Dept.
Jayawant Shikshan Prasarak Mandal's Rajarshi Shahu College of Engineering Pune
EDUCATION
PhD Mechanical Engineering
RESEARCH INTERESTS
Machine tool vibrations, mechatronics, robotics
Scopus Publications
Scopus Publications
Nikhil Kondibhau Purwant and Avinash M. Badadhe
Arab Academy for Science, Technology, and Maritime Transport (AASTMT)
Chandan M. N., Himadri Majumder, and Avinash Badadhe
Springer Science and Business Media LLC
Sachin Argade, Swapnil Vyavahare, Vishal Naranje, Avinash Badadhe, Yashwant Chapke, and Rayappa Mahale
Wiley
ABSTRACT Wireless body sensor networks (WBSNs) are increasingly used in healthcare for remote monitoring of patients. Although these systems improve access to medical care, they also face serious challenges related to data security and patient authentication. This study proposes a lightweight and secure authentication framework based on a Three‐Tier Secure Message Authentication Code (TTSMAC) protocol. The framework combines three key techniques: Factorized RSA (FRSA) for efficient key generation, Length Pearson Hashing (LPH) for secure token management, and Dual Secret Key Elliptic Curve Cryptography (DSK‐ECC) for protecting stored data. Experimental results showed that the proposed framework reduces encryption/decryption time, lowers key setup overhead, and achieves higher throughput compared with existing methods. Also, the performance evaluations showed substantial improvements in encryption/decryption times and throughput, demonstrating the framework's suitability for resource‐constrained, battery‐powered wearable sensors. Overall, the framework enhances security, maintains patient data privacy, and ensures reliable authentication for WBSN‐based healthcare applications.
Swapnil Vyavahare, Vishal Naranje, Yashawant Chapke, Ruchira Tare, Avinash Badadhe, and Dinesh Washimkar
Springer Science and Business Media LLC
K. Hemanth, T. M. Gurubasavaraju, V. Shamanth, M. Y. Supritha, K. S. Narayanaswamy, Rayappa Mahale, Swapnil Vyavahare, and Avinash Badadhe
Springer Science and Business Media LLC
Bhardwaj Kulkarni, Saurabh Tayde, Yashwant Chapke, Swapnil Vyavahare, and Avinash Badadhe
Springer Science and Business Media LLC
Mahendran Samykano, Rajan Kumaresan, Reji Kumar Rajamony, Muhamad Mat Noor, Kumaran Kadirgama, Devarajan Ramasamy, Wan Sharuzi Wan Harun, Adarsh Kumar Pandey, Avinash Maruti Badadhe, and Satesh Namasivayam
Akademia Baru Publishing
Fused Deposition Modelling (FDM) is a cost-effective technique within the realm of Additive Manufacturing (AM) that enables the fabrication of three-dimensional objects using thermoplastic and composite materials. FDM can generate complex parts with precise dimensions, which has helped the manufacturing industry. The biomedical industry uses wood particles; however, pure wood's mechanical properties are unknown. Coconut wood is biodegradable, heat and corrosion-resistant. The present study analyses the physical characteristics shown by Polylactic acid (PLA) and a tailored PLA/Ct.W composite. The compression properties of PLA and PLA/Ct.W specimens were investigated in accordance with ASTM standards (ASTM D695). Testing specimens were constructed using the FDM technique on PLA and PLA/Ct. W composite with different infill percentages (75%, 50% and 25%) and patterns (honeycomb, grid, concentric, rectilinear and octagram spiral). After that, the RSM is utilized to discover the parameter that has the largest effect on mechanical properties. Experimental results show that grid infill patterns with 75% infill percentages have the best compression properties. The weakest infill pattern is the octagram spiral. The RSM was employed to generate regression equations to optimize the properties of the PLA/Ct.W composite. It is suggested that the utilization of bonding agents can effectively augment the bonding between PLA and Coconut wood materials. Additionally, reducing the particle size of the coconut wood can further improve the overall quality of the product.
Akshay Doke, Avinash M. Badadhe, and N. S. Mujumdar
Springer Science and Business Media LLC
Swapnil Vyavahare, Vishal Naranje, Avinash Badadhe, Rayappa Mahale, and Yashwant Chapke
Emerald
Purpose The purpose of this study is to synthesize literature pertaining to human–machine collaborative additive manufacturing (HMC-AM), an advanced interdisciplinary field which is amalgamation of robotics and additive manufacturing. This field has extraordinary advantages such as enhanced productivity, improved customization, superior quality and precision, better resource utilization and innovation, which are useful in aerospace, health care, automotive and consumer goods industries. Design/methodology/approach The present review offers a thorough examination of HMC-AM, integrating a systematic review and bibliometric analysis to investigate the synergy between human intelligence and machine accuracy in additive manufacturing. Total 212 research paper published during last 20 years, i.e. 2004-2024 are systematically reviewed and prominent outcomes are highlighted. In this study, the research axes that have improved the efficiency, scalability and adaptability of HMC-AM are classified into four sections – sensing and perception, AM, software, AM systems and human–machine interfaces and discussed in detail. Findings Further, the sectoral applications of HMC-AM are described. Meanwhile, the challenges faced by HMC-AM systems and their practical solutions are documented. Furthermore, bibliometric study is performed, which identifies trends in HMC-AM systems, highlighting the revolutionary potential of HMC-AM across many industries. Originality/value The novelty of the present systematic review is development of a roadmap of future research in the domain of human–machine collaborative additive manufacturing.
Rahul Suryawanshi, Jayesh Jagtap, Dnyaneshwari Shegokar, Siddhesh Jaju, Chandan M. N, and Avinash M. Badadhe
IEEE
Grading of onion is important for the purpose of quality as well as market value, and it has, in the past, used traditional methods. Onion grading has thus been automated, which has been a focus of numerous researchers because of the rising need for quality produce. Thus, the findings highlighted in this work show the progress and current approaches and methodologies designed for the design and implementation of automation systems for grading onions. This work outlines various methods such as image processing, gas sensor technology, Near Infra-Red (NIR) spectroscopy, X-ray imaging, Laser Doppler Vibrometry (LDV), and some artificial intelligence approaches that have been used in improving onion sorting systems. In addition, it reveals the drawbacks of these technologies, such as the realization of high image processing, the availability of small data sets, and the stability of the sortation systems. Based on the findings of this review, some recommendations for future research are suggested, such as the integration of multi-sensor systems and the enhancement of the efficiency of the automated onion grading systems using different types of algorithms.
Rajan Kumaresan, Ngui Wai Keng, Mahendran Samykano, Kumaran Kadirgama, Adarsh Kumar Pandey, Avinash M. Badadhe, and Ponnambalam S. G
Informa UK Limited
Mangesh B. Bankar, Avinash M. Badadhe, and Sudarshan C. Palve
Springer Science and Business Media LLC
S.K. Selvamani, W.K. Ngui, K. Rajan, M. Samykano, Reji Kumar R, and Avinash M. Badadhe
Elsevier BV
Ulhas A. Malawade, Vishvesh V. Malgaonkar, Avinash M. Badadhe, and Madhavrao G. Jadhav
Informa UK Limited
Nikhil K. Purwant and Avinash M. Badadhe
Elsevier BV
Abstract This paper briefs the significance of Phase Change Material and Nanofluid in photovoltaic panel cooling technique. Because of the continuous insolation base temperature of photovoltaic cell increases which, degrades the conversion efficiency as well as the life span of a photovoltaic cell. Therefore cooling techniques are required to overcome this effect. This paper reveals the strength, weaknesses, opportunities, and challenges of active and passive cooling techniques. Detailed SWOC analysis of water cooling, air cooling, nanofluid cooling, PCM cooling, natural cooling, and heat pipe cooling has been included in this paper. After reviewing the literature, paper concludes that PCM possesses enormous opportunity to effectively reduce the PV panel's base temperature but is still not being used due to inadequate design, technical challenges and high cost. Findings of this paper help to develop an integrated cooling method using appropriate cooling techniques.
Shivpal S. Wadkar and A. M. Badadhe
Springer International Publishing
In this paper, the crush behaviour, crushing efficiency, absolute energy absorption, specific energy absorption and peak load of rectangular tubes made of aluminium alloy 6063 of Paper honeycomb filled and aluminium honeycomb filled subjected to quasi-static compressive loading have been numerically and experimentally investigated. Effect of changing the filler material inside the tube on the specific energy absorption characteristics has been evaluated. Model parameters were determined from quasi-static compression test on paper honeycomb and aluminium honeycomb structure. Peak load carrying capacity, mean crush force capacity of aluminium honeycomb filled aluminium alloy 6063 boxes was higher. Specific energy absorption of paper honeycomb crash box was higher than aluminium honeycomb crash box. The experiments regarding crushing behaviour of crash boxes were conducted on compression test machine whereas numerical simulation was performed through commercially available finite element analysis solver LS-DYNA 971. With the addition of softer filler material increase in energy absorption capacity was observed which is useful in crashworthiness application.
R. N. Pote, R. K. Patil, and A. M. Badadhe
Informa UK Limited
In this paper the effect of incremental rise of tyre pyrolysis oil in the blend is analyzed to explore the performance and emission parameters of a single cylinder VCR diesel engine. During experim...
Abhishek P. Mohite, A. M. Badadhe, and R. G. Desavale
Springer Singapore
Avinash M. Badadhe, Suresh Y. Bhave, and Laxman G. Navale
Inderscience Publishers
Surface roughness generated during machining is the result of vibratory displacement of the cutting tool. In the work presented here, an attempt is made to find the correlation between tool displacement and corresponding surface roughness. The results show that there exists a good correlation between vibratory tool tip displacement and corresponding surface roughness obtained. Under the variable cutting conditions, it was found that increase in both spindle speed and feed increases the displacement and surface roughness, the influence of feed variation is more significant than the spindle speed. Depth of cut does not have any significant role in variation of these values. The empirical relation found between vibratory displacements of the tool and corresponding surface roughness can be used to control the machining parameters resulting in maximum material removal rate and hence increase the productivity for the desired value of surface finish.