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In the current scenario, durable exhaust system design, development and manufacturing are mandatory for the vehicle to be competitive and challenging in the automotive market. Material selection for the exhaust system plays a major role due to the increased warranty requirements and regulatory compliances. The materials used in the automotive exhaust application are cast iron, stainless steel, mild steel. The materials of the exhaust systems should be heat resistant, wear and corrosion resistant. Stainless steel is the most commonly used material in the automotive exhaust system. Due to increasing cost of nickel and some other alloying elements, there is a need to replace the stainless steel with EN 8 steel. Recent trends are towards light weight concepts, cost reduction and better performance. In order to reduce the cost and to achieve better wear and corrosion resistance, the surface of the EN 8 steel is modified with coatings.

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.

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.

Statistical and computational intelligence techniques were employed for informatics based design of nano friction modifiers added bio-lubricant. Systematic data were generated through laboratory experiments, using design of experiment, to study the effect of addition of multi-wall carbon nanotubes as friction modifiers in castor oil on frictional properties. The experimental data were used to develop data driven models using statistical techniques, artificial neural network and fuzzy inference systems. The simulation studies which were based on the model predictions were used to design the nano-lubricant with multi-walled carbon nanotubes as the friction modifiers. The optimum combination of nanotube concentration and load, found from the model predictions, were experimentally validated.

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.

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.

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.