Mechanical Engineering, Automotive Engineering, Computational Mechanics, Industrial and Manufacturing Engineering
4
Scopus Publications
Scopus Publications
Advanced welding approaches to overcome thin sheet fabrication constraints Damodara Reddy Annapureddy, Harish Kirthi Subbaiyan, Rajendra Kagithapu, Chaithanya Kalangi, Harisivasri Phanindra Koneru, Muralimohan Cheepu Advances in Materials and Processing Technologies, 2026 In recent years, the high-strength thin sheets are replacing the heavy structures to ease the design and the manufacturing. There are several applications demanding these light-weight structures, particularly for the automotive and aerospace industries. There are several major challenges of shearing edges, lack of fusion, burn-through defects, distortion, difficulties in clamping and fixturing, cracking, automation and consistency for high precision welds. Among the various joining methods, welding is one of the most efficient methods to join them and to obtain stringent quality requirements. However, the selection of the welding process is very crucial to weld the thin sheets. The present study explores the various welding methods to join the thin sheets and the most advanced welding methods, which are devoted for the thin sheets. In addition, it discusses the challenges in the welding of thin sheets and improves techniques to overcome the major challenges by controlling the burn-through with the selection of appropriate joining processes, optimisation of process parameters, using intermittent welds, preheating to avoid the cracking and reduces the spatter and low heat and smooth arc welding methods, real-time process monitoring and by applying the robotic arc for faster welding speeds and accurate welding.
Machine Learning for Analyzing the Biowaste to Wealth Approach: A briefreview. Chandolu Nagamani, Yeti Dhana Rao, M.V.S Pavan Kumar, K. Rajendra, Samuel John Gosu, et al. International Journal of Drug Delivery Technology, 2026 The biowaste to wealth is a pillar of circular bioeconomy tactics, which aim at turning organic waste like food wastage, farm residues and city sludge into a range of high value products such as biogas, biofertilizers, biochar and platform chemicals. Models based on conventional methods which depend on mechanistic kinetic equations such as Monod or Gompertz, frequently have problems with the intrinsic heterogeneity of feedstocks nonlinear microbial dynamics and multiple process variables. Machine learning (ML) stands out as a revolutionary tool that can be used to overcome these problems. It utilizes data driven algorithms to forecast output, tweak inputs and allow live control with an accuracy never seen before. In this work discusses in detail the use of machine learning in the main recycling pathways such as anaerobic digestion (AD) for the production of methane, thermochemical methods such as pyrolysis and gasification for the production of syngas/bio-oil composting for the production of nutrients, rich humus and fermentation for the production of biohydrogen
Ultrasonic Vibration-Assisted Microwire Electrochemical Discharge Machining Hybrid Micromachining and Microfabrication Technologies Principles Varieties and Applications, 2023
Laser-Assisted Electrochemical Discharge Micromachining Hybrid Micromachining and Microfabrication Technologies Principles Varieties and Applications, 2023
