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Master Thesis: Surface topographical analysis Of Cutting inserts
2023-05-01Master students in Mechanical Engineering
1
Final PresentationShobin
Masters in Mechanical
Introduction
Variants and region of interest Aim of the study Theoretical framework of reference Parameter Selection methods Results of work package 1 & 2 OBSERVATION for WP1 OBSERVATION for WP2 Future work
Variants and region of interest
Region of Interest
Edge Rounding +Pre treatment Post treatmentCoating
3 variants in WP”1” & Five varaints in WP2
1. MSG 1572. MSG1583. MS160G
1. MSG 1862. MSG1873. MSG1894. MSG190 5. MSG191
Aim of the study The Aim of the study is to investigate the Surface topography of the putting
inserts (CNMG120408-MM) In Work Package one WP1 :
Which parameter s are important when comparing different variants Interpretation of the surface roughness of the variants in connection to the
manufacturing process. If there are a predominant direction of the topograph
In Work Package one WP1 : Which parameters are important to look at when comparing the different
variants to each other? How the coating effect the surface topography Different measurement approaches to measure the surface roughness on
variants in WP1 and WP2
2023-05-01Masters in Mechanical Engineering4
Theoretical framework of reference
Surface integrity Loop Function
Manufacturing Characterization
Function : effective cutting insert, properties and alloy elements
Manufacturing: grit blasting , polishing and Chemical vapour deposition
Characterization: a) region of interest b)surface texture measurement by using
interferometer and SEM, C)Software used after the reading mountainsmap 7,
Microsoft excel, SPSS. d)3D surface texture parameter ISO 25718.
Mountainsmap7template
2023-05-01
1. The significance factor Si; is computed on the basis of the intervals and the mean
2.
Check threshold & disjunct function Select parameter have ´+´ve (disjunct) significant factor Reject Parameters Have ´-´ Si factor
2. Error bar :Average and Standard deviation method Check the condition choosing the parameters:
Error bar overlapping : Neglect All error bar not overlapping: Accept,
means that experimental data falling far Outside of Standard deviation are considered as significant
1. Average and Standard deviation method
Sa Smc (p = 10%)
Sxp (p = 50%,
q = 97.5%)
Vv (p = 10%)
Vmc (p = 10%,
q = 80%)
Vvc (p = 10%,
q = 80%)
0.00
0.20
0.40
0.60
0.80
1.00
Mea
n
3.Spearman's correlation Strength of a monotonic
relationship between paired data Find the spearmen correlation denoted by rs (0≤rs ≤1.00).• 0-0,3 Weak • 0,3-0,5Moderate • 0,5-0,9 strong• 0.9- 1, 0 very strong
Parameter Selection methods with Results
Selected parameters correlations
Smc
Sq
Vm
Vv
Vmc
Sdq
Sxp 0,97 Sa 0,96
Vmp 0,1 Vmc 0,96 Vvc 0,99 0,99 Sdr 0,99
Error Bar followed by ANOVA and t-test
Analysis of Variance Table for WP2
Flow chart showing the Analysis of variance (ANOVA)
2023-05-01Masters in Mechanical Engineering8
MSG157
MSG158
MSG160
Result of WP1 & 2
Numerical being weighted by ”visual estimation
OBSERVATION for WP1
• Selected parameters are arithmetic mean height(Sa), extreme peak height(Smc), void volume(Vv), Core material volume(Vmc), Core void volume(Vvc) and Area height difference(Sxp).
• MSG158 Shows more texture, MSG160 shows smoother Surface and MSG157 surface characteristics in between MSG158 & MSG160.
• MSG158 shows isotropic texture with low directionality & MSG157 shows anisotropic texture. MSG160 shows high distance over the surface such that new location minimal correlation with original.
2023-05-01Masters in Mechanical Engineering9
MSG157MSG158MSG160
OBSERVATION for WP2 Parameters Sa, Smc, Vv, Vmc & Vvc are selected by using the Error bar
followed by ANOVA & t-test. MSG189 & MSG187 shows higher texture properties out of five variants. MSG190 & MSG191 are shows same surface property(which is not comparable
according to Error bar followed by ANOVA & t-test: all values are FALSE) The comparison between the MSG186&MSG189, MSG189&MSG190 &
MSG189&MSG191 are the highly significant comparison.
2023-05-01Masters in Mechanical Engineering10
Future Work Machining test followed by analysis of variants by regression
method(SPSS soft ware). Investigate the same texture properties propagated from WP1
to WP2
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