Ankit Dilipkumar Oza – Manufacturing – Best Researcher Award

Ankit Dilipkumar Oza - Manufacturing - Best Researcher Award

Parul University - India

AUTHOR PROFILE

SCOPUS

๐Ÿ› ๏ธ EXPERTISE IN MICRO-MACHINING AND SPARK MACHINING

Ankit Dilipkumar Oza holds a Ph.D. in micro-machining, specializing in spark-assisted electrochemical discharge machining (TW-ECDM) processes. His extensive experience in micro-machining non-conducting materials, particularly Quartz, has made him a key figure in this advanced manufacturing domain. His expertise also includes operating sophisticated analytical instruments such as SEM, EDX, XRD, and TEM, which are crucial for analyzing microstructures and machining precision.

โš™๏ธ INNOVATIVE TW-ECDM TECHNIQUES AND SETUP DEVELOPMENT

During his Ph.D. research, Ankit focused on improving the Traveling Wire-Electrochemical Discharge Machining (TW-ECDM) process to minimize the challenges in machining Quartz, a non-conducting material. His research led to the development of two experimental setups and a Micro-ECDM setup integrated into an existing EDM system, marking significant progress in the field of non-conducting material machining. His innovative approaches in coating wires, optimizing electrolytes, and employing Magnetohydrodynamic (MHD) convection have advanced machining capabilities.

๐Ÿ“ DESIGN AND MODELING EXPERTISE

Ankit possesses a deep understanding of designing and modeling experimental setups for advanced machining processes. His knowledge extends to the design of experiments and statistical analysis, ensuring precision and efficiency in complex machining operations. His contributions have been pivotal in improving machining performance, especially in reducing electrolyte wastage and enhancing electrolysis in the TW-ECDM process.

๐Ÿ”ฌ RESEARCH IN QUARTZ MICRO-MACHINING

The core of Ankitโ€™s Ph.D. research revolves around overcoming the difficulties in machining Quartz materials. By using innovative techniques, his work has significantly improved the performance of machining processes for non-conducting materials, setting new standards in the field. His research contributes to the advancement of micro-machining technology, making it more efficient and sustainable.

๐Ÿ—๏ธ POSTGRADUATE PROJECT IN GRAVITY DIE CASTING

In addition to his work in micro-machining, Ankit developed a novel hybrid gravity die casting process during his postgraduate studies. Using PRO-CAST, a FEM-based simulation software, he optimized metal flow, temperature variations, and solidification, resulting in a more efficient and defect-reduced process. His work contributed to reducing common casting issues like shrinkage porosities and cold shuts, improving the overall quality of gravity die casting.

๐Ÿš€ EXPERIENCE IN INDUSTRIAL RESEARCH AND DEVELOPMENT

Ankit's industrial project at Mehtex Engineering Pvt. Ltd. in Ahmedabad exemplifies his ability to bridge academic research with practical applications. His work on optimizing gravity die casting processes showcases his skills in applying theoretical knowledge to real-world industrial challenges, bringing innovation to manufacturing techniques.

๐Ÿ”ง FAST-LEARNING AND ADAPTIVE RESEARCHER

Known for his enthusiasm, adaptability, and quick learning, Ankit has proven his capability to manage challenging research work in complex and highly demanding environments. His contributions to the field of micro-machining are marked by his innovative thinking and ability to drive progress in both academic and industrial settings.

NOTABLE PUBLICATION

Title: Integrating intelligent machine vision techniques to advance precision manufacturing: a comprehensive survey in the context of mechatronics and beyond
Authors: D.R. Patel, A.D. Oza, M. Kumar
Journal: International Journal on Interactive Design and Manufacturing
Year: 2024

Title: Development and characterization of eco-friendly extruded green composites using PLA/wood dust fillers
Authors: H.H. Parikh, S. Chokshi, V. Chaudhary, A.D. Oza, C. Prakash
Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
Year: 2024

Title: Divacancy defects on the dynamic behaviour of single layer graphene
Authors: M. Manisha, A. Patel, A. Oza, A. Goyal
Journal: AIP Conference Proceedings
Year: 2024

Title: Photoluminescence and antibacterial performance of sol-gel synthesized ZnO nanoparticles
Authors: M.S. Rathore, H. Verma, S.B. Akhani, K. Kaur, A. Oza
Journal: Materials Advances
Year: 2024

Title: A Review of Optimization Methods in Laser and Abrasive Jet Manufacturing Methods
Authors: A. Goyal, N. Gautam, A.D. Oza, R. Choudhary, R.K. Phanden
Journal: Lecture Notes in Mechanical Engineering
Year: 2024

Brucely – Advanced Manufacturing – Best Researcher Award

Brucely - Advanced Manufacturing - Best Researcher Award

SRM TRP Engineering College - India

AUTHOR PROFILE

GOOGLE SCHOLAR

๐ŸŽ“ EDUCATIONAL BACKGROUND

Dr. Brucely holds a Doctor of Philosophy in Engineering from Anna University, Chennai, where he completed his research in Mechanical Engineering between 2013 and 2018. His thesis, titled "Investigation on Implementation of TFMEA in Tea Industry using Artificial Intelligence," reflects his deep expertise in the intersection of AI and manufacturing. He also earned a Masterโ€™s Degree in Manufacturing Engineering from C.S.I Institute of Technology, Thovalai, affiliated with Anna University, Chennai, where he graduated with an impressive 73% aggregate. His academic journey began with a Bachelor's Degree in Mechanical Engineering from Jayamatha Engineering College, Aralvaimozhi, affiliated with Manon Maniam Sundaranar University, Tirunelveli.

๐Ÿ”ฌ RESEARCH INTERESTS

Dr. Brucely's research interests lie at the confluence of manufacturing processes and artificial intelligence. His work focuses on applying Total Failure Mode Effects Analysis (TFMEA) using advanced AI techniques such as Fuzzy Logic and Genetic Algorithms. His innovative approach has significant implications for the optimization of manufacturing processes, particularly in industries like tea production where he has implemented GA-based ANFIS techniques.

๐Ÿ“š PUBLICATIONS

Dr. Brucely has made notable contributions to academic literature, with several publications in reputed journals. His work on "Implementation of TFMEA in Tea Industry using Fuzzy Logic" and "Using Genetic Algorithm Optimizing the Cutting Parameters of AWJM Process for Aluminium 6061 Alloy" showcases his expertise in applying AI to solve complex engineering problems. His research is widely recognized, with publications in journals that have respectable impact factors, reflecting the influence and quality of his work.

๐Ÿ’ผ PROFESSIONAL EXPERIENCE

In his professional career, Dr. Brucely has held various leadership roles, particularly in the academic sector. He served as the Head of the Mechanical Engineering Department at MCET from 2010 to 2018, where he also coordinated national and international conferences. Additionally, he was actively involved in accreditation processes, acting as the coordinator for NBA and NAAC file preparation committees, ensuring the highest standards of academic quality.

๐ŸŒ INDUSTRY & ACADEMIC COLLABORATIONS

Dr. Brucely has played a pivotal role in fostering collaborations between academia, industry, and governmental bodies. As the coordinator for MOUs with universities, industries, and ministries in DMISJBU, he facilitated key partnerships that have enhanced research and educational outcomes. His efforts have strengthened the link between theoretical research and practical applications, benefiting both students and industry professionals.

๐Ÿ… HONORS & RECOGNITION

Dr. Brucely's contributions have been recognized through various honors, including invitations to serve as an alumni representative for postgraduate programs in thermal engineering. His leadership and academic prowess have earned him respect and recognition in the engineering community, further solidifying his reputation as a thought leader in his field.

๐Ÿ”ง INNOVATION & IMPACT

Throughout his career, Dr. Brucely has demonstrated a commitment to innovation, particularly in the field of manufacturing engineering. His research and professional efforts have had a significant impact on the optimization of manufacturing processes, contributing to advancements in both academic research and practical industry applications. His work continues to inspire and guide the next generation of engineers and researchers.