A. Radhakrishnan
A. Radhakrishnan has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Krishnan Saravanan
Department of CSE, College of Engineering Guindy, Anna University, Chennai, India
1 shared publication - Mathu Kumar S
Ponjesly College of Engineering
1 shared publication - Nagarajan V A
University College of Engineering Nagercoil, Anna University
1 shared publication - V. Kavitha
Department of Computer Science, Anna University Tirunelveli Region, Tirunelveli, India
1 shared publication
Latest Publications
- Open Access
- 2 October 2024
- Published by Iskender AKKURT in International Journal of Computational and Experimental Science and Engineering
- Vol. 10 (4)
Modal and harmonic analysis of femur bone using different boundary conditions by Finite Element Analysis.
The longest and largest bone in the human body is the femur. Pelvic bone sustains the weight of the body to which the femur bone is connected. Many researches have been carried out to identify the behaviour of the femur bone. The study aimed to explore the natural frequencies and mode shapes of vibrating devices to gain insights into the dynamic behavior of the femur bone during various physical activities. Examining the impact of patient-specific bone shape and density on bone natural frequencies is crucial. The primary goals of femur bone analysis involve employing computer simulations for fracture detection and employing Finite Element (FE) models to determine natural frequencies and vibration modes. To obtain the natural frequency of the femur bone, different boundary conditions such as free-fixed and fixed-fixed are applied. Avoiding the coincidence of the natural frequency with external excitation frequencies is crucial to prevent femur bone fractures. Also, for different magnitude of loads, femur bone is involved in harmonic analysis is to identify the amplitude and stress against acceleration.
- 2 October 2024
- Published by Iskender AKKURT in International Journal of Computational and Experimental Science and Engineering
- Vol. 10 (4)
Open AccessModal and harmonic analysis of femur bone using different boundary conditions by Finite Element Analysis.
The longest and largest bone in the human body is the femur. Pelvic bone sustains the weight of the body to which the femur bone is connected. Many researches have been carried out to identify the behaviour of the femur bone. The study aimed to explore the natural frequencies and mode shapes of vibrating devices to gain insights into the dynamic behavior of the femur bone during various physical activities. Examining the impact of patient-specific bone shape and density on bone natural frequencies is crucial. The primary goals of femur bone analysis involve employing computer simulations for fracture detection and employing Finite Element (FE) models to determine natural frequencies and vibration modes. To obtain the natural frequency of the femur bone, different boundary conditions such as free-fixed and fixed-fixed are applied. Avoiding the coincidence of the natural frequency with external excitation frequencies is crucial to prevent femur bone fractures. Also, for different magnitude of loads, femur bone is involved in harmonic analysis is to identify the amplitude and stress against acceleration.
- 27 February 2018
- Published by Springer Nature
- p. 51-71
Energy Aware Resource Allocation Model for IaaS Optimization
- 27 February 2018
- Published by Springer Nature
- p. 51-71
Energy Aware Resource Allocation Model for IaaS Optimization
- 10 June 2016
- Published by Springer Nature in Computing
- Vol. 98 (11) , 1185-1202
Energy conservation in cloud data centers by minimizing virtual machines migration through artificial neural network
- 10 June 2016
- Published by Springer Nature in Computing
- Vol. 98 (11) , 1185-1202
Energy conservation in cloud data centers by minimizing virtual machines migration through artificial neural network