Chethan et al., 2015 - Google Patents
Machine vision for tool status monitoring in turning Inconel 718 using blob analysisChethan et al., 2015
- Document ID
- 1386866233403507066
- Author
- Chethan Y
- Ravindra H
- Kumar S
- et al.
- Publication year
- Publication venue
- Materials Today: Proceedings
External Links
Snippet
The automation of the manufacturing process plays an important role in improving productivity. For this, monitoring and diagnostic systems are becoming increasingly necessary in manufacturing. This paper describes A new method, based on a machine …
- 238000004458 analytical method 0 title description 11
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chethan et al. | Machine vision for tool status monitoring in turning Inconel 718 using blob analysis | |
Su et al. | An automated flank wear measurement of microdrills using machine vision | |
Chethan et al. | Optimization of machining parameters in turning Nimonic-75 using machine vision and acoustic emission signals by Taguchi technique | |
Bagga et al. | Tool wear monitoring in turning using image processing techniques | |
Oliveira et al. | Effect of tool wear on the surface integrity of Inconel 718 in face milling with cemented carbide tools | |
Kamguem et al. | Evaluation of machined part surface roughness using image texture gradient factor | |
Bagga et al. | A novel approach of combined edge detection and segmentation for tool wear measurement in machining | |
Mali et al. | Real time tool wear condition monitoring in hard turning of Inconel 718 using sensor fusion system | |
Khalifa et al. | Image processing for chatter identification in machining processes | |
Satyanarayana et al. | Optimized high speed turning on Inconel 718 using Taguchi method based Grey relational analysis | |
Bommi et al. | Estimation of flank wear in turning of nimonic C263 super alloy based on novel MSER algorithm and deep patten network | |
Chethan et al. | Parametric optimization in drilling EN-8 tool steel and drill wear monitoring using machine vision applied with Taguchi method | |
Atli et al. | A computer vision-based fast approach to drilling tool condition monitoring | |
Agarwal et al. | Analyzing the evolution of tool wear area in trochoidal milling of Inconel 718 using image processing methodology | |
Chethan et al. | Machined surface monitoring in turning using histogram analysis by machine vision | |
Küllaç et al. | Correlation statistics of a Fourier transform feature with flank wear on different sections of turned surface images for real time monitoring applications | |
Shahabi et al. | On-line monitoring of tool wear in turning operation in the presence of tool misalignment | |
Fadare et al. | Development and application of a machine vision system for measurement of tool wear | |
Garcia-Jurado et al. | Metrological evaluation of secondary adhesion wear effects in the dry turning of UNS-A92024-T3 alloy through Focus-variation Microscopy (FVM) | |
Selvaraj et al. | Tool wear monitoring by image processing | |
Cerce et al. | Novel spatial cutting tool-wear measurement system development and its evaluation | |
Abou-El-Hossein et al. | Investigation on the use of cutting temperature and tool wear in the turning of mild steel bars | |
CHETHAN et al. | MONITORING OF DRILL WEAR STATE USING BLOB ANALYSIS TECHNIQUE BY MACHINE VISION | |
Gurupavan et al. | Machine vision system for correlating wire electrode status and machined surface in WEDM of AlSi3N4 MMC’S | |
Zariatin | Analysis of Influence of Spindle Speed and Feeding Speed to Tool Wear and Surface Roughness |