Results are reported from a three-dimensional computational stability analysis of flow over a backward-facing step with an expansion ratio (outlet to inlet height) of 2 at Reynolds numbers between 450 and 1050. The analysis shows that the first absolute linear instability of the steady two-dimensional flow is a steady three-dimensional bifurcation at a critical Reynolds number of 748. The critical eigenmode is localized to the primary separation bubble and has a flat roll structure with a spanwise wavelength of 6.9 step heights. The system is further shown to be absolutely stable to two-dimensional perturbations up to a Reynolds number of 1500. Stability spectra and visualizations of the global modes of the system are presented for representative Reynolds numbers.

Three-dimensional instability in flow over a backward-facing step

Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization

Thank you for reading introduction to continuum damage mechanics. As you may know, people have search numerous times for their chosen novels like this introduction to continuum damage mechanics, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some infectious virus inside their computer. introduction to continuum damage mechanics is available in our digital library an online access to it is set as public so you can download it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the introduction to continuum damage mechanics is universally compatible with any devices to read.

Introduction To Continuum Damage Mechanics

Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Although the original PSO has shown good optimization performance, it still severely suffers from premature convergence. As a result, many researchers have been modifying it resulting in a large number of PSO variants with either slightly or significantly better performance. Mainly, the standard PSO has been modified by four main strategies: modification of the PSO controlling parameters, hybridizing PSO with other well-known meta-heuristic algorithms such as genetic algorithm (GA) and differential evolution (DE), cooperation and multi-swarm techniques. This paper attempts to provide a comprehensive review of PSO, including the basic concepts of PSO, binary PSO, neighborhood topologies in PSO, recent and historical PSO variants, remarkable engineering applications of PSO, and its drawbacks. Moreover, this paper reviews recent studies that utilize PSO to solve feature selection problems. Finally, eight potential research directions that can help researchers further enhance the performance of PSO are provided. 

Particle Swarm Optimization: A Comprehensive Survey

Cuckoo Search Optimization- A Review

Genetic Algorithm and its Applications to Mechanical Engineering: A Review

Particle Swarm Optimization Applications to Mechanical Engineering- A Review

The automobile is composed of many systems. One of these is the suspension system. The main functions of the automotive suspension system are to provide vehicle support, stability and directional control during handling manoeuvres and to provide effective isolation from road disturbances. The suspension system has to balance the tradeoff between ride comfort and handling performance. This paper analyses the passive suspension system and active suspension system using a Linear Quadratic Regulator (LQR) controller. A linear quarter-car model is used for the analysis and simulation. The performance of the LQR controller is compared with the passive suspension system. The simulation results show that the LQR controller improves vehicle ride comfort.

/pdf/active-control-of-quarter-car-suspension-system-using-linear-2mhxmjeobs.pdf

Active control of quarter-car suspension system using linear quadratic regulator

Resistance Spot Welding (RSW) is a process that is being used in industry for sheet joining purposes especially in the Automobile and Aerospace industry. The problems associated with RSW are tendency of alloying with the electrode resulting in increased tool wear, and subsequent deterioration of weld quality. More current and time lead to expulsion and over heating of the electrode affecting the weld quality and less value result in insufficient weld strength. The complicated behavior of this process must be analyzed to set the optimum parameters to get good quality weld. This paper presents an experimental investigation for optimization of Tensile Shear (T-S) strength of RSW for Galvanized steel by using Taguchi method. RSW of galvanized steel is always difficult due to tendency of zinc coating alloying with electrode. The experimental studies were conducted under varying welding current, welding time, electrode diameter and electrode force. Taguchi quality design concepts of L27 orthogonal array has been used to determine Strength to Noise(S/N ratio), Analysis of Variance (ANOVA) and F test value for determining most significant parameters affecting the spot weld performance. The experimental results confirmed the validity of used Taguchi method for enhancing welding performance and optimizing the welding parameter in RSW process. The confirmation test indicated that it is possible to increase tensile shear strength significantly.

Vilas M. Nandedkar

Papers

Cuckoo Search Optimization- A Review

Genetic Algorithm and its Applications to Mechanical Engineering: A Review

Particle Swarm Optimization Applications to Mechanical Engineering- A Review

Active control of quarter-car suspension system using linear quadratic regulator

Application of taguchi method for resistance spot welding of galvanized steel