Danh et al., 2024 - Google Patents
Optimization of Wheel Dressing Technological Parameters when Grinding Hardox 500 SteelDanh et al., 2024
View PDF- Document ID
- 809795986451783247
- Author
- Danh T
- et al.
- Publication year
- Publication venue
- Engineering, Technology & Applied Science Research
External Links
Snippet
This paper presents the research results on the influence of wheel dressing technological parameters on minimum Surface Roughness (SR) and maximum Material Removal Rate (MRR) of Hardox 500 steel. The Box-Behnken planning method with 4 factors was used …
- 238000000227 grinding 0 title abstract description 10
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Oda et al. | Study of optimal cutting condition for energy efficiency improvement in ball end milling with tool-workpiece inclination | |
| Horng et al. | Investigating the machinability evaluation of Hadfield steel in the hard turning with Al2O3/TiC mixed ceramic tool based on the response surface methodology | |
| Grzesik et al. | Surface finish on hardened bearing steel parts produced by superhard and abrasive tools | |
| Hamdi et al. | Effect of cutting variables on bearing area curve parameters (BAC-P) during hard turning process | |
| Mohruni et al. | Development of surface roughness prediction model for hard turning on AISI D2 steel using Cubic Boron Nitride insert | |
| Nguyen et al. | A research on multi-objective optimization of the grinding process using segmented grinding wheel by Taguchi-Dear method | |
| Danh | Optimization of Wheel Dressing Technological Parameters when Grinding Hardox 500 Steel | |
| Sefene et al. | Multi-objective optimization of energy consumption, surface roughness, and material removal rate in diamond wire sawing for monocrystalline silicon wafer | |
| Ehsan et al. | Understanding the effects of cutting conditions on vibrations, surface integrity, machining temperature and tool wear mechanisms in end milling of AISI D2 Steel | |
| Özkan et al. | Determination of appropriate cutting parameters depending on surface roughness by Taguchi method in milling of marbles | |
| Saraeian et al. | Influence of vibratory finishing process by incorporating abrasive ceramics and glassy materials on surface roughness of ck45 steel | |
| Grzesik et al. | Surface integrity of hardened steel parts in hybrid machining operations | |
| Tran et al. | Effect of dressing parameters on material removal rate when surface grinding SKD11 tool steel | |
| Dhabale et al. | Optimization of material removal rate of AlMg1SiCu in turning operation using genetic algorithm | |
| Abbas | Comparative assessment of wiper and conventional carbide inserts on surface roughness in the turning of high strength steel | |
| Xiu et al. | Study on surface finish mechanism in quick-point grinding | |
| Hamamci et al. | CONSIDERATION OF STEP-OVER RATIO IN OPTIMISATION OF CUTTING PARAMETERS FOR SURFACE ROUGHNESS DURING HIGH SPEED MACHINING. | |
| Inal et al. | Determination of the wear performance of diamond saw blades using inductively coupled plasma | |
| Neslusan et al. | Analysis of surface roughness on bearing steel parts after cutting, superfinishing and burnishing operations | |
| Shabani et al. | Mathematical modelling of the surface roughness parameters Rp and Rv in hard turning of steel C 55 (DIN) using mixed ceramics MC 2 (Al2O3+ Ti C) | |
| Nadolny | Estimation of the active grains load in different kinematic variations of the internal cylindrical grinding process | |
| Gupta et al. | Optimization of machining parameters and tool selection in 2.5 D milling using genetic algorithm | |
| Burhanudin et al. | Splitting nicks effect on cutting lips twist drill to spindle torque, chip morphology and surface roughness on S45C drilling process | |
| Adesta et al. | Content Comparative investigation on tool wear during end milling of AISI H13 steel with different tool path strategies | |
| Salodkar | Machining Performance Optimization for Effective Turning of En31 Alloy Steel |