Experimental Studies on Mechanical Properties of Carbon Nanotube Reinforced Aluminum 7075 Composite Material

In the present work multiwalled carbon nanotubes were added as reinforcement to aluminum 7075 matrix at 0.5%, 0.75% and 1.25% by weight proportion through stir casting technique. The mechanical properties of the produced composite were studied. The composite has considerably good tensile and wear resistance properties and hence finds its best suited application in aircraft frame and wings structures. Microstructure analysis through SEM showed a uniform distribution of the reinforcement material in the matrix. XRD graphs were taken at selected points during microscopic studies to determine the chemical composition of the matrix alloy, the reinforcement and the composite. The experimental results showed that 1.25% reinforcement in the composite material exhibited a tensile strength of 560 N/mm2 and a compression strength of 649.6 N/mm2 as the highest among the compositions. Thus, the reinforcement addition at 1.25% improved the tensile and compression strength of the composite material.

Experimental Investigation and Optimization of Machining Parameters in Turning of Aluminum Alloy 075-T651

Aluminum alloy 7075-T651 is a widely used material in the aviation, marine, and automobile sectors. The wide application marks the importance of this material’s research in the manufacturing field. This research focuses on optimizing input process parameters of the turning process in the machining of Aluminum 7075-T651 with a tungsten carbide insert. The input machining parameters are cutting speed, feed, and depth of cut for the output response parameters cutting force, feed force, radial force, material removal, and surface roughness of the workpiece. For optimization of process parameters, the Taguchi method, with standard L9 orthogonal array, is used. ANOVA is applied to obtain signifi-cant factors and optimal combinations of process parameters.

A Study on Mechanical and Tribological Properties of Aluminum 7075 MMCS Reinforced with Silicon Carbide and Coconut Husk by Powder Metallurgy Process

The metal matrix composite strengthened with ceramic material of silicon carbide has smart mechanical characteristics. Metal-based composites, however, demand progress in their friction and tribological characteristics. In this work-study an effort is made to design a completely new material through the method of metallurgy by adding Coconut husk. This study explored the effect of coconut husk on the tribological behavior of hybrid composite Al 7075/5 wt. % Sic/Xwt. %coconut husk(X=6,4 and0).The research confirms the performance of wear properties by incorporating coconut husk into the composite. The sic-coconut husk reinforced Al 7075 (aluminum alloy 7075) was studied. Metallurgy route was used to prepare the composites. Microstructures, the mixture of materials, wear and wear resistance properties were analyzed by optical micro cope and scanning electron microscope.

Investigation of Microstructure and Mechanical Properties of Hybrid Composite Aluminum 7075 Reinforced with Sugar Cane Husk Ash (SCHA) and Silicon Carbide (SiC) by Powder Metallurgy

This paper deals with the fabrication of Al-7075 composites manufactured by powder metallurgy route reinforced with different weight percentages of Sugar Cane Husk Ash (SCHA) and Silicon Carbide (SiC) A low pressure of 400 MPa was applied for compacting the composites and sintered at a temperature of 720oC for three hour. SEM and EDX analysis was done to study the micro-structural behavior. Hardness and compression test were carried out. The hardness has been improved by adding the weight percentage of Silicon Carbide (SiC) but seems to be crash by adding the weight percentage of Sugar Cane Husk Ash (SCHA). The compressive strength was found to be varying.

Highly Sensitive Nonlinear Identification To Track Early Fatigue Signs in Flexible Structures

This study describes a physics-based and data-driven nonlinear system identification approach for detecting early fatigue damage due to vibratory loads. The approach also allows for tracking the evolution of damage in real-time. Nonlinear parameters such as geometric stiffness, cubic damping and phase angle shift can be estimated as a function of fatigue cycles, which are demonstrated experimentally using flexible aluminum 7075-T6 structures exposed to vibration. Nonlinear system identification is utilized to create and update nonlinear frequency response functions, backbone curves and phase traces to visualize and estimate the structural health. Findings show that the dynamic phase is more sensitive to the evolution of early fatigue damage than nonlinear parameters such as the geometric stiffness and cubic damping parameters. A modifed Carrella-Ewins method is introduced to calculate the backbone from the nonlinear signal response, which is in good agreement with the numerical and harmonic balance results. The phase tracing method is presented, which appears to detect damage after approximately 40% of fatigue life, while the geometric stiffness and cubic damping parameters are capable of detecting fatigue damage after approximately 50% of the life-cycle.

Optimization of Process Parameters in CNC Turning of Aluminum 7075 Alloy Using L27 Array-Based Taguchi Method

With the advent of the industrial revolution 4.0, the goal of the manufacturing industry is to produce a large number of products in relatively less time. This study applies the Taguchi L27 orthogonal array methodological paradigm along with response surface design. This work optimizes the process parameters in the turning of Aluminum Alloy 7075 using a Computer Numerical Control (CNC) machine. The optimal parameters influenced the rate of metal removal, the roughness of the machined surface, and the force of cutting. This experimental investigation deals with the optimization of speed (800 rpm, 1200 rpm, and 1600 rpm) and feed (0.15, 0.20, and 0.25 mm/rev) in addition to cutting depth (1.0, 1.5, and 2.0 mm) on the turning of Aluminum 7075 alloy in a CNC machine. The outcome in terms of results such as the removal rate of material (maximum), roughness on the machined surface (minimum), along with cutting force (least amount) were improved by the L27 array Taguchi method. There were 27 specimens of Al7075 alloy produced as per the array, and the corresponding responses were measured with the help of various direct contact and indirect contact sensors. Results were concluded all the way through diagrams of main effects in favor of signal-to-noise ratios and diagrams of surfaces with contour diagrams for various combinations of responses.

EFFECT OF FORMING TOOLS NOSE ON THE FORMABILITY OF SINGLE POINT INCREMENTAL SHEET FORMING.

In this paper the FE simulation and experimental equipment and design of the system for deformation by single point incremental sheet metal forming are presented. The formability is executed at room temperature and needs the milling machine, the tool of hemispherical head and toroidal head applied to deform the sheet, whereas translates from the peripheral of the sheet to its focus that additionally driving the sheet down. The blank is distorted increment by increment into the required shape via hemispherical or toroidal nose instrument going along a circular way. In the present investigation, the deformation’s analyses were down on the aluminum 7075 compound with thickness (0.9mm) and various device nose are enormously impact on the contact region and its observed that the hemispherical apparatus gives the best outcome. Close to this investigation consequence of the impact of shaping instrument nose on the formability is displayed. The ANSYS results are comparison with results obtained experimentally and it's discovered the deviation about 8% and this is expected to the criteria of spring-back.