1. Master Thesis:
Surface topographical analysis Of Cutting inserts
2016-10-31
Master students in Mechanical Engineering
1
Final Presentation
Shobin
Masters in Mechanical

2. 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

3. 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 157
2. MSG158
3. MS160G
1. MSG 186
2. MSG187
3. MSG189
4. MSG190
5. MSG191

4. 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
2016-10-31Masters in Mechanical Engineering4

5. Theoretical framework of reference
 Surface integrity Loop
 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

6. 2016-10-31
1. The significance factor Si; is computed on the basis of the
intervals and the mean
2. 𝐼′
𝑚𝑖𝑛 = 𝜇′
𝑖 − 𝑘𝜎′
𝑖 𝑎𝑛𝑑 𝐼′
𝑚𝑎𝑥 = 𝜇′
𝑖 + 𝑘𝜎′
𝑖
 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
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

7. Error Bar followed by ANOVA and t-test
Analysis of Variance Table for WP2
Flow chart showing the Analysis of
variance (ANOVA)

8. 2016-10-31Masters in Mechanical Engineering8
MSG157
MSG158
MSG160
Result of WP1 & 2
Numerical being weighted by ”visual estimation

9. 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.
2016-10-31Masters in Mechanical Engineering9
MSG157MSG158MSG160

10. 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.
2016-10-31Masters 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