11 research outputs found

    Impact of Point Angle on Drill Product Quality and Other Responses When Drilling EN- 8: A Case Study of Ranking Algorithm

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    In the present work Drilling parameters has been advanced for EN-8 combination steel utilizing GRA (Grey Relational Examination). The parameters advanced are axle speed (SS - 3000, 3500 and 4000 rpm), feed rate (FR - 0.18, 0.20 and 0.22 mm/rev) and cemented Carbide twist drill of 14.5 mm width with Three flutes point angle (PA - 118,127 and 1350) And Lubrications Used Dry, Wet and Air on bases of surface harshness, Hole distance across, Thrust Force and Burr Size precision reactions. It is performed with the assistance of established carbide contort drills. On the bases of GRA alongside recognizable proof, huge commitment of parameters has been completed by utilizing ANOVA. Out of three factors considered point edge has huge impact on reactions as contrast with other parameters

    Multi-Response Enhancement of Drilling Process Parameters for AM 60 Magnesium Alloy as per the Quality Characteristics utilizing Taguchi-Ranking Algorithm and ANOVA

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    : This investigation shows the improvement of Drilling parameters on AM-60 Mg alloy made with the help of Gravity Die Casting and with reactions upheld symmetrical cluster with Grey relational analysis - GRA. Which Focuses on the streamlining of Drilling constraints utilizing the system to get least surface Roughness (Ra), Tool Wear, Cutting Time, Power Requirement and Torque and Max MRR. Concentrates on the optimization of drilling constraints utilizing the procedure to get minimum surface roughness (Ra), Thrust Force, Burr size and Circularity Error. An amount of drilling experiments remained conducted mistreatment the L9 OA on CNC Machining Center. The trails remained achieved on Mg alloy block cutting tool of an ISO 460.1-1140-034A0-XM GC3 of 12 mm diameter with Tool Angle 140 degrees, used throughout the experimental work beneath dry cutting conditions. This experimental study results like Ra, TF, CE, and BZ were analyzed. GRA & ANOVA was utilized to effort out the principal essential Spindle speed, feed rate, Titanium Coated for Drill Bits (TiN, TiAN, TiCN) with 0.020 in Coating Thickness manipulating the Reaction. The essential and collaboration effect of the data influences on the ordinary responses remain analyzed. The standard qualities and projected values are truly near

    Outcome of the Coating Thickness on the Tool Act and Process Parameters When Dry Turning Ti–6Al–4V Alloy: GRA Taguchi & ANOVA

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    In the primary days of Titanium Nitride tools, before coatings, tool manufacturers appreciated the tools would last elongate and scuffle cratering if they put a little bit of Titanium Nitride (TiN) in the combination when making the tool. This had the anticipated consequence, but the more TiN that was added, the feebler and more brittle the tool became. Then someone hit on the idea of applying a thin layer of TiN to the surface of the tool. This study results the Turning experiment conducted on the Ti–6Al–4V alloy of orthogonal array with Taughi grey relational analysis. Emphases on the optimization of turning process Constraints using the technique to get Min surface roughness (Ra), Roundness (s), Tool Wear and Cutting force in TIN with Different Coating Thickness by PVD Technique. A number of Turning experiments remained conducted mistreatment the L9 OA on All Gear Lathe. The experimentations remained achieved on Ti–6Al–4V alloy block of cutting tool of an CNMP120408-SM TN8025 of 12 mm diameter with cutting point 140 degrees, used throughout the experimental work beneath different Coating Thickness. Grey relational Analysis & ANOVA was used to work out the foremost important Cutting speed, feed rate, Depth of Cut and Different Coating Thickness of TIN with 50,100,150 μm by PVD Method which affecting the respons

    Analysis of Product Quality Through Mechanical Properties and Determining Optimal Process Parameters of Untreated and Heat-Treated AISI 1050 Alloy during Turning Operation

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    AISI 1050 alloy has a wide range of applications and were subjected to machining operations. The purpose of the study is to find the optimum input plain turning process parameters at three levels, using L18 orthogonal array and grey relation analysis; and to investigate the mechanical and microscopic properties of the AISI 1050 alloy before (untreated, UT) and after annealing (AN) (heat-treatment, HT) process. The results of conducted experiments revealed the optimum process parameters as following for the untreated specimens: spindle speed at 3500 r.p.m., feed 0.08 mm/rev, depth of cut at 0.6 mm, insert corner radius at 4mm, and cutting fluid concentration at 12 %, are the most optimum conditions to obtain minimum power consumption for the untreated specimens. Whereas, a spindle speed at 3500 r.p.m., feed at 0.08 mm/rev, depth of cut at 0.6mm, insert corner radius at 4 mm, and cutting fluid concentration at 12 % are the optimum parameter values for the treated specimens

    Performance Evaluation of Yield Function and Comparison of Yielding Characteristics of SS 304 in Annealed and Unannealed Conditions

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    Sheet metal forming forms in numerous industries like vehicle depend on the yielding of the sheet metals when strained. Yielding is portrayed by plastic flow of the materials when strained. The yield point if there should be an occurrence of uniaxial tension can be effectively decided from the pressure strain diagram, yet if there should arise an occurrence of multi axial Stresses it gets complicated. A connection between the principal stresses is required determining the conditions under which plastic flow occurs. This intricacy is tended to by the anisotropic yield capacities. Likewise, the tests used to acquire yield loci might be costly and time taking in such case these yield capacities end up being exceptionally viable. The yield criteria additionally help in deciding planar distribution of yield stresses and anisotropic coefficients, which gives a decent gauge of these mechanical parameters without having to through the pain of trial assurance. This project aims at using Hill 1948 criterion to obtain the Yield surface Diagrams for SS304 in annealed and original state and subsequently obtain the planar distribution of the uniaxial yield stress and anisotropic coefficient. Also, the performance evaluation of both the distributions will be done using accuracy index

    Determination of Taguchi Grey Relation Analysis to Influence the Tool Geometry and Cutting Parameters of the Ti-6Al-4V Alloy to Achieve Better Product Quality

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    It may be more expensive on some system, as manufacturers frequently obtain and spread over new producing materials that are brighter and stouter—and thus a lot of fuel-effectual—it follows that cutting tool manufacturers should mature tools which will machine the new specimens and Geometry at the best attainable levels of productivity. Feasibly the mutual thread through all producing is the determination for exaggerated productivity and dependableness. As metal cutting operations become increasingly fine-tuned, the relationship between cutlery micro (cutting edge preparation) and macro (rake face topography) pure mathematics is changing into a lot of and a lot of necessary. This study intelligences the outcomes of a Turning experiment showed on the Ti–6Al–4V alloy of L9 orthogonal array on CNC Turning center with Taughi gray relative analysis. Emphases on the optimization of Turning method parameters victimization the technique to get minimum Resultant Cutting Force, Tool Wear, Tool Life, and Energy Consumption. The experimentations were performed on Ti–6Al–4V alloy block of the cutting tool of changed pure mathematics of CNMP120408-SM TN8025 of twelve metric linear unit diameter with cutting purpose one hundred forty degrees, used throughout the experimental work beneath totally different cutting conditions. Grey relative Analysis & ANOVA was castoff to total the primary necessary Cutting speed as constant of 3000Rpm, feed rate, Depth of Cut and Different Tool Geometries conditions that moving the response. The main and interaction effect of the input variables on the expected responses are investigated. The expected values and measured values are fairly Near to the Outcome one
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