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The usage of AZ91E series magnesium alloy material increases in the field of automobile, aerospace and structural applications because of its enhanced mechanical properties, light weight and good machinability characteristics. The present investigation is to optimize the drilling process parameters of magnesium alloy (AZ91E) hybrid nano composite consisting of chopped basalt fiber (9wt%) and SiCp (7.5wt%) fabricated by vacuum stirring technique. AZ91E hybrid nano composite is drilled by M-Tab vertical machining centre equipped with CNC under dry state (without coolant). The dry state drilling operation was performed by HSS tool with varied input parameters like drill diameter (6mm, 8mm, 10mm and 12mm), spindle speed (200rpm, 300rpm 400rpm 500rpm), feed rate (5mm/min, 10mm/min, 15 mm/min, 20 mm/min) with constant depth of cut (15mm).

This investigation shows the improvement of Machining parameters on AM-60 Mg alloy made with the help of Gravity Die Casting and with reactions upheld symmetrical cluster with “Technique for Order Preference by Similarity to Ideal Solution” (TOPSIS). Which Focuses on the streamlining of Machining parameters utilizing the system to get least surface Roughness (Ra), Minimum Tool Wear, minimum Cutting Time, Power Requirement and Torque and Maximize MRR. A good amount of Machining tests was directed in view of the L9 Orthogonal array on CNC machine. The trials were performed on AM60 utilizing cutting device of grade-ISO 460.1-1140-034A0-XM GC3 of 12,16 and 25 mm width with cutting point of 140 degrees, all throughout the test work under various cutting conditions. TOPSIS and ANOVA were utilized to work out the major vital parameters like Cutting speed, feed rate, Depth of Cut and Tool Diameter which influence the Response. The normal qualities and estimated esteems are genuinely close.

Tensile and axial fatigue tests were conducted on shallow cryogenically treated EN19 medium carbon alloy steel to investigate its mechanical behavior. The test samples were conventionally heat treated then oil quenched at room temperature. Followed by the samples were kept for shallow cryogenic treatment to -80°C for 8 hours using liquid nitrogen. Then the samples were tempered in a muffle furnace to relieve the induced residual stresses. Tensile and axial fatigue test were carried out on both treated and non-treated samples to measure its tensile strength and fatigue behavior respectively. Microscopic examination also had done to compare the effect of shallow cryogenic treatment on its microstructure. The results exposed that there is an increase in the tensile strength and reduction in fatigue life of shallow cryogenically treated samples over base metal and improved wear resistance.

During the delivering of an item, any material created moreover to a definitive item will be named as waste. The waste produced in light of machining could be a notable conservation worry for creators. The shape and condition of waste streams created, and their transportation components divergence with the strategy utilized and also shift among the technique. The effect in view of each waste stream differs as well. This examination reports a machining strategy includes the procedure of material to give a completed or a semi-completed item. This is frequently done by misapplication tools, totaling, machines and distinctive data sources that are appropriate to the strategy. The procedures thought of for the point of this work includes machining of material manipulation devices to give parts and items. The yield of the technique incorporates the item and increase the waste streams. The waste streams will be in the form of Chips, Energy usage, and Worn cutting tools and Operating time.

To survive in the present global competitive world, the manufacturing sectors have been making use of various tools to achieve the high quality products at a comparatively cheaper price. Appropriate cutting set up must be used to further better the machinability of a work piece material. A longer life of the tools and equipment’s are important factors in any industry. Since the inception of the machine tool industry, cutting tool life and tool wear remain a subject of deep interest to study its failure and improvement. The present study finds out the optimum cutting results in drilling of AM60 magnesium alloy using different cryogenically treated cutting inserts. The Utility concept coupled with Taguchi with Multi response approach (TOPSIS) was employed. According to Analysis of variance (ANOVA) results, the feed was the major dominating factor followed by the cutting speed.

Torsional Stiffness is required in an automotive whenever there is a biased lateral load on the vehicle as it happens during a turn. A torsionally stiff chassis would provide better stability and uniform load transfer in an automobile. The current trends in research aim at increasing the torsional stiffness and optimizing mass for the same and thus increasing the stiffness to mass ratio. This is validated with the help of various FEA softwares . The different cases involved in real world scenario are simulated and then the stiffness is optimized accordingly. This FEA analysis is further validated using experimental analysis. An experimental jig is fabricated and setup for every condition. Static conditions are used for both FEA and experimental analysis. A list of error reducing measures has been put in place and unavoidable errors have been taken into account.

Single point Incremental forming (SPIF) is a metal forming process that has achieved impeccable quality since the early 1990s. ISF is a very limited twisting process in which an improved device that must be used after a particular direction travels on a metal sheet to form the desired shape. Process parameters such as axial feed (mm), feed (mm / min), tool diameter (mm) and depth (mm) at the interface between samples during SPIF greatly affect the quality of the cone. Maximum thinning (mm), cone height (mm), wall angle (mm), formation time (minutes), etc. The purpose of this study was to study these parameters by improving the cone mass formed by VMC. For a detailed study of these parameters, experiments were performed using the orthogonal array L9. Output parameters such as mechanical quality effects were analysed using COPRAS (Complex Proportional Assessment of alternatives) and ANOVA.

Wire Arc Additive Manufacturing (WAAM) is a type of 3D printing technology which build up layer by layer material using welding to create a finished product. To this extent, we have developed the machine learning approach using the KNN regression model to predict the bead’s height and width of the E71T1 mild steel sample by wire arc additive manufacturing (WAAM). We have conducted a systematic experimental study by varying the process parameters such as Voltage (V), Current (A) and wire feed rate (f), and the corresponding output value: height, and width of the bead are recorded. A total of 195 experiments were conducted, and the corresponding output values were noted. From the experimental data, 80% data was used to train the model, and 20% was used for testing the model. Further, the model’s accuracy was predicted using an independent set of test samples.

Magnesium alloy nanocomposite prepared with hard ceramic particles via conventional technique is a promising future material for automotive applications due to its unique characteristics like low density, high strength, castability, and good wear resistance. The present study is to enhance the tribo-mechanical properties of alumina nanoparticle (10wt %) reinforced magnesium alloy (Mg/Al) composite by incorporating 1wt%, 3wt%, and 5wt% zirconium dioxide (ZrO2) nanoparticles through stir casting method. The tensile strength, impact toughness, hardness, and wear rate of developed composites were compared with (10wt %) alumina nanoparticles reinforced magnesium alloy composite. The nanocomposite containing 3wt% ZrO2 shows maximum impact strength of 22.8 J/mm2. The maximum tensile strength (88.9MPa), hardness (124.5BHN), and wear resistance (9.802mm3/m at 20N) are obtained for 5wt% ZrO2 magnesium alloy nanocomposite.

High-strength steel has several industrial applications such as automobile, tool and die, construction industries etc. However, it is challenging to achieve it. Various strengthening mechanisms, such as dispersion strengthening, alloying, grain boundary strengthening etc., plays a vital role in deciding the properties of the steel. At the industrial level, high-strength steel is produced by adding alloying elements such as Tungsten, Chromium, and Molybdenum in the steel matrix, increasing the high-strength steel cost. On the other hand, Wire Arc Additive manufacturing (WAAM) can produce dispersion strengthening in steel to mimic the properties of a high-strength steel matrix. The WAAM is a relatively low-cost additive manufacturing technology which uses a welding process to build up layers of material to fabricate the finished product. We have dispersed hard silicon carbide (SiC) particles in the mild steel matrix using the WAAM process in this work.