| Literature DB >> 29425125 |
A J Sánchez Egea1, V Martynenko2, D Martínez Krahmer3, L N López de Lacalle4, A Benítez5, G Genovese6.
Abstract
The objective of the present study is to analyze and compare the cutting performance of segmented diamond blades when dry-cutting concrete. A cutting criteria is proposed to characterize the wear of the blades by measuring the variation of the external diameter and the weight loss of the blade. The results exhibit the cutting blade SB-A, which has twice the density of diamonds and large contact area, exhibits less wear even though the material removal rate is higher compared with the other two cutting blades. Additionally, the surface topography of the different blades is evaluated to examine the impact of wear depending on the surface profile and the distribution of the diamonds in the blade's matrix. Large number of diamonds pull-out are found in blades type SB-C, which additionally shows the worst wear resistant capability. As a conclusion, the cutting efficiency of the blade is found to be related to the density of embedded diamonds and the type of the surface profile of the cutting blade after reaching the stop criteria.Entities:
Keywords: concrete; diameter variation; dry-cutting; segmented diamond blade; topography; weight loss
Year: 2018 PMID: 29425125 PMCID: PMC5848961 DOI: 10.3390/ma11020264
Source DB: PubMed Journal: Materials (Basel) ISSN: 1996-1944 Impact factor: 3.623
Figure 1Boxplot of the: thickness (A); and height (B) of the cutting segments for each type of diamond blades.
Figure 2Cutting process of dry-concrete by using different segmented diamond blades in an in-house developed automatic machine.
Quantity of diamonds per segment of each type of blade.
| Parameter/Blade Type | SB-A | SB-B | SB-C |
|---|---|---|---|
| Sample 1 | 57 | 36 | 42 |
| 54 | 32 | 52 | |
| 63 | 46 | 50 | |
| 59 | 40 | 48 | |
| Sample 2 | 55 | 49 | 56 |
| 61 | 35 | 51 | |
| 59 | 56 | 35 | |
| 54 | 24 | 35 | |
| Sample 3 | 49 | 45 | 42 |
| 50 | 32 | 42 | |
| 75 | 38 | 40 | |
| 55 | 50 | 37 | |
| Sample 4 | 74 | 46 | 48 |
| 48 | 50 | 47 | |
| 40 | 31 | 52 | |
| 53 | 36 | 70 | |
| Average | 56.63 | 40.38 | 46.69 |
| Dispersion | 8.93 | 8.79 | 8.93 |
Estimated density of diamonds per effective segment area of each blade.
| Parameter/Blade Type | SB-A | SB-B | SB-C |
|---|---|---|---|
| Av. segment height (mm) | 7.54 | 7.71 | 10.19 |
| Number of segments | 9 | 9 | 8 |
| Effective angle of area (°) | 33.50 | 37.50 | 53.30 |
| Effective segment area (mm2) | 237.69 | 265.43 | 377.33 |
| Av. diamond quantity per segment (n° grains) | 56.62 | 40.37 | 46.68 |
| Diamond density per segment (n° grains/mm2) | 0.24 | 0.15 | 0.12 |
Figure 3Grain size, thickness and matrix–diamond distribution for each type of blade.
Tool wear analyses by measuring the diameter difference.
| Blade Type/Parameter | Initial Diameter | Final Diameter | Difference | Average | Dispersion * |
|---|---|---|---|---|---|
| (mm) | (mm) | (mm) | (mm) | (mm) | |
| SB-A | 118.45 | 118.25 | 0.20 | 0.38 | 0.21 |
| 118.49 | 118.25 | 0.24 | |||
| 118.25 | 117.60 | 0.65 | |||
| 118.61 | 118.18 | 0.43 | |||
| SB-B | 115.07 | 114.35 | 0.72 | 0.79 | 0.05 |
| 115.29 | 114.45 | 0.84 | |||
| 115.25 | 114.48 | 0.77 | |||
| 115.02 | 114.20 | 0.82 | |||
| SB-C | 115.39 | 114.00 | 1.39 | 1.26 | 0.11 |
| 115.52 | 114.24 | 1.28 | |||
| 115.32 | 114.19 | 1.13 | |||
| 115.49 | 114.26 | 1.23 |
* The error dispersion is estimated with the standard deviation.
Tool wear analyses by measuring the weight loss difference.
| Blade Type/Parameter | Initial Weight | Final Weight | Difference | Average | Dispersion * |
|---|---|---|---|---|---|
| (g) | (g) | (g) | (g) | (g) | |
| SB-A | 158.2 | 157.0 | 1.2 | 1.50 | 0.38 |
| 158.4 | 157.2 | 1.2 | |||
| 160.2 | 158.2 | 2.0 | |||
| 160.8 | 159.2 | 1.6 | |||
| SB-B | 96.1 | 94.2 | 2.6 | 2.75 | 0.19 |
| 96.8 | 93.8 | 3.0 | |||
| 97.6 | 94.8 | 2.8 | |||
| 95.2 | 92.6 | 2.6 | |||
| SB-C | 106.4 | 101.2 | 5.2 | 4.30 | 0.62 |
| 103.6 | 99.8 | 3.8 | |||
| 105.8 | 101.8 | 4.0 | |||
| 104.2 | 100.0 | 4.2 |
* The error dispersion is estimated with the standard deviation.
Figure 4Boxplots of the tool wear in the three studied diamond blades when reaching the stop criteria in terms of: diameter variation (A); and weight loss (B).
Figure 5Surface topography of the edge of the segment area for each type of blade.