Effect of Grain Size and Density of Abrasive on Surface Roughness, Material Removal Rate and Acoustic Emission Signal in Rough Honing Processes
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Effect of Grain Size and Density of Abrasive on Surface Roughness, Material Removal Rate and Acoustic Emission Signal in Rough Honing Processes
Authors
Keywords
-
Journal
Metals
Volume 9, Issue 8, Pages 860
Publisher
MDPI AG
Online
2019-08-07
DOI
10.3390/met9080860
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Effect of Honing Angle and Roughness Height on the Tribological Performance of CuNiCr Iron Liner
- (2019) Ma et al. Metals
- Acoustic emission analysis for the detection of appropriate cutting operations in honing processes
- (2018) Irene Buj-Corral et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Detection of chipping in ceramic cutting inserts from workpiece profile during turning using fast Fourier transform (FFT) and continuous wavelet transform (CWT)
- (2017) W.K. Lee et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Use of results from honing test machines to determine roughness in industrial honing machines
- (2017) Irene Buj-Corral et al. Journal of Manufacturing Processes
- Indirect model for roughness in rough honing processes based on artificial neural networks
- (2016) Maurici Sivatte-Adroer et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Determination of the critical undeformed chip thickness in micromilling by means of the acoustic emission signal
- (2016) Marcelo A. Câmara et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Fault analysis of the wear fault development in rolling bearings
- (2015) Idriss El-Thalji et al. ENGINEERING FAILURE ANALYSIS
- Vibration signal analysis using parameterized time–frequency method for features extraction of varying-speed rotary machinery
- (2015) Y. Yang et al. JOURNAL OF SOUND AND VIBRATION
- Wavelet packet transform for detection of single events in acoustic emission signals
- (2015) Davide Bianchi et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Evaluation of image based Abbott–Firestone curve parameters using machine vision for the characterization of cylinder liner surface topography
- (2014) K. Deepak Lawrence et al. MEASUREMENT
- Review of wavelet methods for the solution of reaction–diffusion problems in science and engineering
- (2013) G. Hariharan et al. APPLIED MATHEMATICAL MODELLING
- The design of a new sparsogram for fast bearing fault diagnosis: Part 1 of the two related manuscripts that have a joint title as “Two automatic vibration-based fault diagnostic methods using the novel sparsity measurement – Parts 1 and 2”
- (2013) Peter W. Tse et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Modelling of surface finish and material removal rate in rough honing
- (2013) Irene Buj-Corral et al. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
- Application of multi-scale chirplet path pursuit and fractional Fourier transform for gear fault detection in speed up and speed-down processes
- (2012) Jiesi Luo et al. JOURNAL OF SOUND AND VIBRATION
- Performance impact of honing dynamics on surface finish of precoated cylinder bores
- (2012) Mohamed El Mansori et al. SURFACE & COATINGS TECHNOLOGY
- Method for cylindricity error evaluation using Geometry Optimization Searching Algorithm
- (2011) Xianqing Lei et al. MEASUREMENT
- Sparse signal decomposition method based on multi-scale chirplet and its application to the fault diagnosis of gearboxes
- (2010) Fuqiang Peng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Time–frequency feature representation using energy concentration: An overview of recent advances
- (2008) Ervin Sejdić et al. DIGITAL SIGNAL PROCESSING
- Wavelet analysis for gear crack identification
- (2008) Ales Belsak et al. ENGINEERING FAILURE ANALYSIS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started