Title: PERFORMANCE ANALYSIS OF INDUSTRIAL MACHINERY USING RELIABILITY ANALYSIS
Speaker: Dr. Balaraju Jakkula, Assistant Professor, Aditya Engineering College, Andhra Pradesh.
Day, Date and Time: Monday, November 15, 2021, 9:30 AM to 10:30 AM.
Abstract:
In the present day global competitive business environment, the prevalence of multi-dimensional challenges for industries have made the survival fight extremely tough due to serious competition among them. Survival of industries has become more critical in the present global competitive business environment unless they produce goods and services- that are competitive in many dimensions like quality, price and reliability etc. The accomplishment of this can be possible only by optimizing the human and machinery resources in an efficient and effective manner. Hence, it is more essential to estimate the performance of utilized equipment for reaching/achieving future goals. “Reliability estimation” plays a significant role in the performance evaluation for a complex repairable system. The performance of equipment mainly depends upon the usage, working atmosphere, effectiveness of maintenance, operational procedures and technical skill of the operators. Scientific and reliable performance forecasts enable us to organize the maintenance and operational activities at their best levels.
The present study focuses on the estimation of underground mining machinery such as the load–haul–dump (LHD) machine performance characteristics using ‘Isograph Reliability Workbench 13.0’ software. The allocation of best-fit/goodness-of-fit distribution was made by utilizing the Kolmogorov–Smirnov (K–S) statistical test. Parameters were recorded based on the best-fitted results using the Maximum Likelihood Estimate (MLE) test. Reliability of each individual sub-system has been computed according to the best fit distribution. In addition to that, reliability based preventive maintenance (PM) time schedules were calculated for the expected 90% reliability level. Further, Reliability Modelling (RM) techniques such as Reliability Block Diagram (RBD), Fault Tree Analysis (FTA), Failure Mode Effect Analysis (FMEA) and Markov (MKV) Modelling were utilized to estimate the overall system reliability; identify the critical components of the system; perform root cause analysis of the failure behaviour and to improve the system reliability. In addition to that, Overall Equipment Effectiveness (OEE) of the systems were estimated and validated with World class standards. Finally, computed results were validated with the MATLAB based feed-forward back- propagation artificial neural network (ANN) tool and the Fuzzy Interface System (FIS). This study enabled us to make recommendations to the industry that would beneficiate significant improvement of system performance.
Speaker Bio: Dr. Balaraju Jakkula is currently working as an Assistant Professor at Aditya Engineering College, Andhra Pradesh, where he carries out his teaching and research in the Department of Mechanical Engineering. He is an enthusiastic faculty member in Machine Design stream. Currently, he has gained a total work experience of 9.10 years since acquiring of B.Tech degree in the year 2009. Since then, he has worked in various capacities such as a Design Engineer (Quality Assurance), Assistant Professor and Research Scholar/Teaching Assistant.
Education: Born in a rural area, a small village in Krishna District of Andhra Pradesh, he grows up with high ideas in Life and a passion to serve Society. He obtained his Bachelors (Mechanical Engineering) and Masters (Machine Design) Degrees from Jawaharlal Nehru Technological University Kakinada (JNTUK) in the year 2009 and 2012. With a thirst of academic achievement, he successfully completed Ph.D. degree from Faculty of Engineering, National Institute of Technology (NIT) Karnataka, INDIA under the supervision of Prof. M. Govinda Raj and Prof. Ch. S. N. Murthy. His topic of research is "Investigation on Performance of Load-Haul-Dump (LHD) Machines and Improvement of its Availability and Utilization using Reliability Analysis". He has good exposure regarding the varieties of mechanical machines being used in mines. Specifically during his Ph.D. program he has carried out field investigations in three different Underground Mines for real-time monitoring of failure behaviour of the Mechanical machinery. He actively participated in organizing the Workshops (Recent Advances in Reliability Engineering and Maintenance Management (RAREMM), Nov’ 2018 in NITK and Concepts of Operations Analysis and Geo-mechanics for Improved Production and Safety (COAGIPS), Feb’2019 in NITK) and preparation of proposals for Research/Consultancy projects.His area of research interests include Machine Dynamics and Control, Condition Monitoring, Failure Analysis and Life testing of Industrial Machinery, Maintenance and Reliability Engineering, System Safety and Risk Analysis, Root Cause Analysis (RCA), Optimization and Operation Research Decision, Residual Life Assessment of Repairable Systems and Service Life Extension of Production and Process Industries.
Publications: He has published his research work in reputed (SCI/SCOPUS/Web-of-Science) Journals and Conferences. He also presented his Ph.D. work in the reputed conferences that were organized in ITALY, GERMANY and USA. His citations have crossed over 74 with an h-index 5 and i10-index 3 (source: Google Scholar). Also, 3 more papers are under review and three are ready for submission in highly reputed journals. He is a certified reviewer for the Journals such as:
International journal of heat and technology (Scopus): Canadian Journal
Mathematical modelling and engineering problems (Scopus): Canadian Journal
Transportation Research Interdisciplinary Perspectives (Scopus-Elsevier): USA
International Journal of Systems Assurance Engg. and Management (Scopus-Springer)
Journal of Mathematics and Statistics (Scopus-Science Publications)
His achievements during Ph.D. degree are 1) Secured 9.5 CGPA out of 10 in Course work 2) Young Scientist Award from international Scientist Awards on Engineering, Science and Medicine, VDGOOD Technologies, 2020. In addition to that he have a sound knowledge (hands on experience) in Maintenance and Reliability Engineering software such as Isograph Reliability Workbench, ITEM and Relay Soft and Design tools such as AutoCAD, Pro-E, CATIA, Solid Works etc.
National and International (Foreign) Visits for Research Interaction:
Visited Department of Mining Engineering, Indian Institute of Technology Kharagpur (I.I.T.KGP), Kharagpur, West Bengal, INDIA, January 2017.
Visited Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology Kharagpur (I.I.T.KGP), Kharagpur, West Bengal, INDIA, March 2018.
Visited Division of Mineral Resource Engineering, The RWTH Aachen University, Aachen, GERMANY, May 2018.
Visited Division of mining, metallurgy and materials, The University of Leoben, Leoben, Styria, AUSTRIA, May 2018.
Visited Department of Educational Sciences and Research, The University of Klagenfurt, Klagenfurt, AUSTRIA, May 2018.
Visited Department of Mechanical Engineering, Indian Institute of Technology Madras (I.I.T.M), Chennai, Tamil Nadu, INDIA, February 2019.
Dr. Balaraju Jakkula is very hard working and sincere research scholar with an inquisitive bent of mind and always looking for innovative solutions to even the most basic issues. A person with a very positive frame of mind- he believes in the UNLIMITED potential that remains untapped in most human beings. He is passionate on self development.
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