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
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
: 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
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
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
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
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