A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Koti, Vishwanath
- Dynamic Mechanical Analysis on Jute Fiber Reinforced Polymer Composites for Patella Implant
Authors
1 School of Mechanical Engineering, Faculty of Engineering, Reva University, Bangalore. India., IN
2 Department of Aerospace Engineering VTU, CPGS, Muddenahalli, Chikkaballapura. India., IN
3 Department of Mechanical Engineering, Faculty of Engineering, Ramaiah Institute of Technology, Bangalore. India., IN
4 Department of Mechanical Engineering, Sapthagiri College of Engineering, Bangalore. India., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 52-58Abstract
Natural fibres possess convincing properties when reinforced in polymers. In this study, JFRPs viscoelastic behaviour at low and elevated temperatures were explored. The present work focuses on the fabrication of jute reinforced polyester based polymer composites with different fiber compositions. Untreated long Jute fibres and mat structured Jute fibres were used for preparing the specimens. The Dynamic Mechanical Analysis (DMA) test was carried out on selected developed Polymer Matrix Composites (PMC). Density of selected PMCs are nearly equal to the bone density. So, PMC specimens were considered to carry out thermal analysis using DMA. In particular, by dynamic mechanical analysis experiments, properties such as storage modulus, loss modulus, tanδ and glass transition temperature were determined. It was found that the storage modulus (E’) recorded above the glass transition temperature (Tg) varies with increase in temperature. Along with the previous research of material properties for possible bioimplantation, this Tg value is identified for possible implementation as patella bone implant. The loss modulus (E”) and damping peaks (Tan δ) values were found to be reduced with increasing matrix loading and temperature.
Keywords
Polymer Composites, Dynamic Mechanical Analysis, Storage Modulus, Loss Modulus, Tan Delta and Glass Transition Temperature.References
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- A Deep Study on Machine Learning Techniques for Tool Condition Monitoring in Turning of Titanium-based Superalloys.
Authors
1 School of Mechanical Engineering, Ramaiah Institute of Technology, VTU, India., IN
2 School of Mechanical Engineering, REVA University, India., IN
3 Advanced Material Research Cluster, Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Jeli,Kelantan, Malaysia., MY
4 School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300 Nibong Tebal, Penang, Malaysia., MY
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 265-270Abstract
The current state-of-the-art review on tool condition monitoring for turning of titanium-based superalloys is presented in this paper. Titanium (Ti) superalloys are widely utilised in aerospace industry, automobile industry, petrochemical applications. Ti superalloys are also used in fabrication of biomedical components due to their outstanding combination of mechanical properties and strong corrosion resistance at extreme temperatures. But these superalloys are difficult-to-cut because to their low heat conductivity, low elastic modulus, high strength, and strong chemical resistance. Literature review highlights the drastic reduction in tool life of titanium superalloys at highspeed and feed rates throughout the machining process. The review paper focuses on (i) various reasons to deploy tool condition monitoring; and (ii) study of tool condition monitoring methods based on machine learning techniques to identify the ideal parameters for the prevention of catastrophic tool failure.
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- Dynamic Analysis of Flexible two Link Robotic Arm Considering Joint Stiffness
Authors
1 Department of Mechanical Engineering, M.S. Ramaiah Institute of Technology, Bengaluru 560054, India., IN
2 School of Mechanical Engineering, REVA University. Bangalore 560064, India., IN
3 Department of Aerospace Engineering VTU, CPGS, Muddenahalli, Chikkaballapura, India., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 457-465Abstract
The robotic manipulator is a machine that can perform a variety of tasks according to specifications without the need of human interference. In order to model and control such devices, vibration analysis of flexible manipulators has become a critical field of study. The finite element approach has been used to analyze single and double connection flexible manipulators made of advanced composite material in the current study. For the modelling and study of the versatile composite manipulators, a three-noded beam feature is used. The effects of the taper angles of tapered flexible composite manipulators on the final product effector movement and vibration has been considered. In present work CATIA V5 is used to model the flexible single link robotic arm and static structural analysis to find stress and total deformation, dynamic analysis is carried out to find different modes, corresponding frequency, and life estimation of flexible single and double link robotic arm and also material optimization is done using different material composition for structural steel, aluminium and CFRP composite material using ANSYS WORKBENCH 18.2 (Finite Element Approach) for life estimation and evaluation using analytical approach.
Keywords
Flexible Manipulators, Boundary Conditions, Assumed Modes, Initial Modes.References
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