@article{Badger2018AcousticEI, title={Acoustic emission in dressing of grinding wheels: AE intensity, dressing energy, and quantification of dressing sharpness and increase in diamond wear-flat size}, author={Jeffrey Badger and Stuart Murphy and Garret E. O'Donnell}, journal={International Journal of Machine Tools & Manufacture}, year={2018 ...

 — Disadvantages of Grinding Machine. Particularly if they are automated or computerized, grinding machines can be pricey. In some environments, the noise that grinding machines can make can be an issue. Grinding machines can generate a lot of dust and debris. If it is not properly controlled, it can harm the operator's health.

 — For optimization and control of the grinding process it is necessary to monitor the process state and the wear state of the grinding wheel. In a European project for this …

 — Analysis of the acoustic characteristics when grinding rails by means of the small mechanization and reducing the noise of the drive systems of the rail grinding …

 — Acoustic emission is a newly developed method that allows for greater control in the grinding process and the creation of bearing elements with more consistent geometrical properties.Acoustic emission is a technique that can be applied to monitor and control grinding - one of the key processes in the manufacture of bearings and shafts. …

 — During grinding, the workpiece material is removed by many randomly shaped grain edges which are simultaneously engraving the surface [8]. Inelastic deformation and friction of cut material is generally accompanied by emission of elastic waves in the workpiece and tool, which can be detected using available PZT sensors as acoustic …

The SBS Fluid AE sensor is ideal for situations where a direct AE contact is required in the grinding process. This can be situations where machine design or high frequency bearing, mechanical or electromagnetic noise prevent the use of other types of AE sensor. The Fluid AE sensor uses the exist...

 — This study assessed and compared the vibro-acoustic characteristics caused by three different types of grinding machines; electric motor (3HP220V2800HD), diesel (R175A) and petrol (GX160)...

 — Good condition and dull condition of the grinding wheel is predicted using machine-learning techniques such as decision tree, artificial neural network, and support vector machine. Results indicate that there is a strong correlation exiting between the acoustic emission features and the surface roughness produced by the grinding process.

 — [Show full abstract] the vibro-acoustic characteristics caused by three different types of grinding machines; electric motor (3HP220V2800HD), diesel (R175A) and petrol (GX160) power drive …

Among these operations, grinding is the most precise and complicated process. The surface condition of the grinding wheel plays an important role in grinding performance, and the …

drive sources for the grinding machines used at the grinding shops and interpreted the health severity risk using the established criteria. 2 MATERIALS AND METHODS . The vibro-acoustic characteristics of the grinding machine assessment were conducted on three categories of power drive sources for the grinding machine used

 — Continuous generating grinding has become an important gear processing method owing to its high efficiency and precision. In this study, an adaptive design model is proposed for the continuous generation of beveloid gears in common gear grinding machines. Based on this model, a method for determining the installation position and …

Due to the negative impact of the elevated noise levels on rail grinding machine's operators, it is necessary for the design stages with appropriate vibro acoustic characteristics that …

 — A grinding machine is a production machine tool used in the manufacturing industry in which the grinding wheel is attached in the tool post and the workpiece is fixed to the work table and when the operation …

 — The diamond wheel is commonly used in ultraprecision grinding in the semiconductor and microelectronics industries (Wang et al., 2018). Tawakoli and Rabiey (2008) found through the grinding experiment of the structured CBN grinding wheel that the surface structure can reduce the friction between the grinding wheel and the workpiece …

1 and 2 plane automatic balancing devices for grinding machines. The range of ABSOLUTE BALANCER® heads, exclusive Balance Systems design, represents the state-of-the-art in the automatic balancing technology. ... Acoustic emission sensor (AE) can be integrated (optional) ... geometric tolerances and surface finish qualities while maintaining ...

A method for determining the topographic characteristics of a grinding wheel is developed based on acoustic emission (AE) technology. For implementing the procedure, an AE monitoring system was ...

This paper presents a novel machine learning-based proposal for the monitoring of grinding wheel wear status monitoring. The AE technique, which is a robust and well-known sensor in the grinding industry, is used because this sensor is already present in many state-of-the-art industrial grinding machines. The information of the AE signal is

 — Surface grinding, being one of the later stages of a manufacturing process, is crucial to achieve the desired workpiece quality by maintaining proper wheel condition. Machine learning and acoustic emission (AE) detection have demonstrated potentials for developing an effective on-line wheel wear monitoring system.

 — During grinding, rich acoustic emission (AE) signals are emitted from the grinding zone because high stress and strain are associated with material removal. Therefore, AE signals can play an …

 — Grinding burn is a common phenomenon of thermal damage that has been one of the main constraints in grinding difficult-to-machine materials. Grinding burn damages materials and degrades properties ...

DOI: 10.1016/J.MATPR.2018.02.162 Corpus ID: 116729879; Tool Condition Monitoring of Cylindrical Grinding Process Using Acoustic Emission Sensor @article{Arun2017ToolCM, title={Tool Condition Monitoring of Cylindrical Grinding Process Using Acoustic Emission Sensor}, author={A. Arun and K. Rameshkumar and Dhanalekshmi Unnikrishnan and A. …

 — The success of the manufacturing process which involves grinding as one of the stages depends solely on the accuracy of the grinding process. Being the last stage of the manufacturing path, it is mostly done to provide the desired surface finish to the product. This makes the stage very crucial. To prevent the ruining of all the previous stages and …

 — During it, the grinding process causes increased machine vibrations, and change in chip and spark forming, and the produced surface shows destructive effects like burning zones, greater surface roughness, patterned texture, textures due to chatter etc.

 — The grinding depth was the most significant effect on the grinding characteristics, the grinding force and subsurface damage scale increased with the grinding depth, and the grinding surface ...

 — The use of acoustic emission is highly desirable due to its superior S/R ratio and sensitivity which lead to detection of different levels of AE activities occurring even at very low depths of cut.

 — DOI: 10.1016/J.IJMACHTOOLS.2005.05.017 Corpus ID: 109166671; Investigation of acoustic emission signals under a simulative environment of grinding burn @article{Liu2006InvestigationOA, title={Investigation of acoustic emission signals under a simulative environment of grinding burn}, author={Qiang Liu and Xun Chen and Nabil N. …

 — During the unit event of material interaction in grinding, three phenomena are involved, namely, rubbing, ploughing and cutting, where ploughing and rubbing essentially mean the energy is being applied less efficiently in terms of material removal. Such phenomenon usually occurs before or after cutting. Based on this distinction, it is …

DOI: 10.1016/S0890-6955(99)00055-3 Corpus ID: 111035756; Characterization of the grinding process by acoustic emission @article{Susi2000CharacterizationOT, title={Characterization of the grinding process by acoustic emission}, author={Egon Susi{vc} and Igor Grabec}, journal={International Journal of Machine Tools & …