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Vehicle collisions are a major concern in the modern automotive industry. To ensure the passenger safety, major focus has been given on energy absorption pattern on the crumple zone during collision, which lead to the implementation of new design of the crash box for low speed collision. The main aim of this research is optimization of the conical shaped structure based on its mean diameter, graded thickness and semi apical angle. Further, to decrease initial peak load of the conical crash box, corrugations are integrated on structure and optimized based on different parameters, such as number of corrugations, pattern of corrugation relative to both tubes and amplitude of corrugation. The concept of bi-tubular structure is proposed to improve both specific energy absorption and initial peak load during crash event. A finite element model is created to perform parametric study on corrugated conical tube based on axial load conditions at low velocity.

In the present paper, to predict the process relation between laser-assisted machining parameters and machinability characteristics, statistical models are formulated by employing surface response methodology along with artificial neural network. Machining parameters such as speed of cut; the rate of feed; along with the power of laser are taken as model input variables. For developing confidence limit in collected raw experimental data, the full factorial experimental design was applied to cutting force; surface roughness; along with flank wear. Response surface method (RSM) with the least square method is used to develop the theoretical equation. Furthermore, artificial neural network method has been done to model the laser-assisted machining process. Then, both the models (RSM and ANN) are compared for accuracy regarding root mean square error (RMSE); model predicted error (MPE) along with the coefficient of determination (R2).

Epoxy carbon fiber composite materials are known for their light weight and high performance. They can be effective substitutes for commonly used materials for making drive shafts. Fiber orientation angle plays a major role in determining such a drive shaft’s responses. The responses considered in this paper are critical buckling torque, fundamental natural frequency and total deformation. A drive shaft made of epoxy carbon unidirectional prepreg is generated using ANSYS 18.0 ACP Composite Prepost. The objective of this paper is to determine an optimal configuration of fiber orientation angles for four, five and six-layered epoxy carbon drive shaft which tends to increase critical buckling torque and fundamental natural frequency while decreasing the total deformation. The optimal configuration which satisfies this objective for the three responses is identified by Minitab 17 statistical software.

This paper describes the modelling and electromagnetic analysis of Permanent Magnet Brushed Direct Current (PMBDC) motor using Finite Element Analysis (FEA) software packages. The designed motors referred in this analysis are fit for use in applications of the electronic throttle control and exhaust gas recirculation in automobiles. Performances of the designed PMBDC models are compared with the traditionally used machines. Three PMBDC models with different operating characteristics are proposed for the two applications. Each model is suitable for use in both applications. Cost analysis of the motors is also carried out, and comparison with the traditionally used machines is done.

Inconel 625, nickel based alloy, is found in gas turbine blades, seals, rings, shafts, and turbine disks. On the other hand, the manufacturing of this alloy is challenging, mainly when machining processes are used due to excellent mechanical properties. Application of nanofluids in minimum quantity lubrication (MQL) shows gaining importance in the machining process, which is economical and eco-friendly. The principal objective of this investigational work is to study the influence of three types of nanofluids in the MQL turning of Inconel 625 nickel based alloys. The used nanofluids are multi-walled carbon nanotubes (CNT), alumina (Al2O3) and copper oxide (CUO) dispersed in vegetable oil. Taguchi-based L27 orthogonal array is used for the experimental design. The parameter optimization of design variables over response is carried out by the use of Taguchi-based derringer's desirability function.

Nimonic 90A alloy is a nickel-chromium-cobalt alloy and found as a potential material for turbine blades, discs, forgings, a ring section, and hot-working tools. This paper presents the effect of concentration along with cutting speed and feed rate on Fz: cutting force, Ra: surface roughness and Vba: tool wear with the application of two different nanofluids (NFS) on turning of Nimonic 90A by TiAlN PVD carbide cutting inserts. The nanoparticles suspended in oil taken for present investigation are nAl2O3, nCNT, and groundnut oil. The Taguchi L9 orthogonal array and derringer’s desirability response surface has been employed for parameter design and optimal search. 3D surface plots, factor effect plots, Taguchi S/N, and variance tests are used to study the effect of concentration on the machining performance of Nimonic 90A. The statistical analysis revealed % concentration for nCNT and cutting speed for nAl2O3 are found as an influenced parameter on performance characteristics.

The aim of this paper is to demonstrate the methodology to simulate the induced stresses/strains due to thermo-mechanical loading of automobile brake drum.. The brake drum undergoes mechanical load due to applied brake pressure and thermal load due to friction generated between brake pad and brake drum while brake is applied. This coupled thermo-mechanical loading affects the life of the brake drum as the stiffness of the brake drum is reduced. The conventional method of simulating this problem is done using Lagrangian discretization in which the load is applied and inertia effect due to angular velocity is applied to a drum at static condition. In contrast, in this paper Eulerian discretization is adopted for finite element analysis, in which drum brake model is discretized as spatially dependent that facilitates actual rotation of brake drum with simultaneous application of brake load resulting more precise simulation.

“The purpose of this study is to explore the structural behavior of motorcycle frames that are fabricated from metals such as steel and aluminum, and that are welded together to generate beams. The components of the wheel, handlebar, and saddle are assembled together to form the chassis of the bicycle. For the purpose of determining modal characteristics such natural frequencies and mode shapes, two different analytical approaches, namely finite element analysis (FEA) and experimental modal analysis (EMA), were utilized. The framework of the chassis was design in 3D using CAD software to carry out the FEA, and after specifying the meshing type and material parameters, normal mode analysis was carried out. To contrast modal characteristics with FEA results, EMA utilized impact hammer testing with a roving accelerometer approach.

Heat transfer optimization is a crucial aspect of the design process for Formula Student race cars, particularly for the radiator, usually housed in a side pod. For the car to operate at peak performance, a well-designed radiator-sidepod system is essential such that it can dissipate heat generated by the engine faster, for the car to run in optimal performance. Testing the car physically for various radiator-sidepod design iterations is a very difficult task, also considering the costs to manufacture the radiator-sidepod setup. The objective of this study is to develop a comprehensive methodology for analysing heat transfer through radiator setup using Computational Fluid Dynamics and to validate it through experimental investigations, to enhance performance and efficiency of the radiator setup. It further explains how to find out its heat transfer efficiency, and to choose the right radiator-sidepod setup, giving optimal performance.