scholarly journals Analysis of influencing factors for the dressing process in double side face grinding

2021 ◽  
Author(s):  
Eckart Uhlmann ◽  
Linus Lichtschlag
Keyword(s):  
Grain Size ◽  
Tool Wear ◽  
Influencing Factors ◽  
Scientific Data ◽  
Speed Ratio ◽  
Workpiece Surface ◽  
Principal Influence ◽  
Side Face ◽  
Face Grinding ◽  
Wear Condition

AbstractIn grinding, the design of the dressing process is an essential part of work preparation and restoration of the grinding wheel’s profile and cutting ability. In contrast to most grinding processes, the choice of dressing parameters in double face grinding with planetary kinematics has so far only been experience-based. As a consequence, the dressing process causes a higher degree of tool wear than the machining of the workpieces. A focused design of the dressing process based on a scientific data could help to improve the ecological and the economic efficiency by reducing tool wear and the amount of dressing tools used. In this paper, methods for determining the wear condition and the result of the dressing process, including macro- and microscopic characteristic are presented. This includes a correlation analysis between parameters of wear characteristics and workpiece surface quality. Furthermore, technological investigations are carried out in order to systematically limit the main influencing factors on the dressing process. As a result, the parameters dresser grain size dgd, rotational speed ratio nld and the machined dresser height ∆hd are identified as significant for dressing. The knowledge about their principal influence on the dressing result could provide the basis for further research.

Research of Tool Wear Condition Recognition Diagnosis System Based on the Machined Workpiece Surface Texture Image

2011 ◽  
Vol 130-134 ◽  
pp. 2508-2512
Author(s):  
Wei Dong Xu ◽  
Xiao Hong Ren ◽  
Li Jie Li ◽  
Ying Gao Yue
Keyword(s):  
Neural Network ◽  
Tool Wear ◽  
Surface Texture ◽  
Texture Feature ◽  
Texture Characteristic ◽  
Workpiece Surface ◽  
Diagnosis System ◽  
Diagnosis Rate ◽  
Wear Condition ◽  
Condition Recognition

Aiming at the machined workpiece surface texture images,some technology about image pre-processing and the texture feature extraction based on gray level co-occurrence matrix are researched. Then it is time for the analysis of the texture characteristic parameters based on BP neural network and the identification and diagnosis of tool wear state, Finally the recognition diagnosis system interface is designed by Matlab-GUI.System simulation shows that the interface fusion of image processing and neural network is a good way to ensure the realization of tool wear condition recognition,what’more, the identification diagnosis rate is profect.

scholarly journals Experimental investigation of the machining characteristics in diamond wire sawing of unidirectional CFRP

2021 ◽  
Author(s):  
Lukas Seeholzer ◽  
Stefan Süssmaier ◽  
Fabian Kneubühler ◽  
Konrad Wegener
Keyword(s):  
Surface Quality ◽  
Influencing Factors ◽  
Material Properties ◽  
High Surface ◽  
Workpiece Surface ◽  
High Surface Quality ◽  
High Productivity ◽  
Surface Temperatures ◽  
Process Forces ◽  
The Wire

AbstractEspecially for slicing hard and brittle materials, wire sawing with electroplated diamond wires is widely used since it combines a high surface quality with a minimum kerf loss. Furthermore, it allows a high productivity by machining multiple workpieces simultaneously. During the machining operation, the wire/workpiece interaction and thus the material removal conditions with the resulting workpiece quality are determined by the material properties and the process and tool parameters. However, applied to machining of carbon fibre reinforced polymers (CFRP), the process complexity potentially increases due to the anisotropic material properties, the elastic spring back potential of the material, and the distinct mechanical wear due to the highly abrasive carbon fibres. Therefore, this experimental study analyses different combinations of influencing factors with respect to process forces, workpiece surface temperatures at the wire entrance, and the surface quality in wire sawing unidirectional CFRP material. As main influencing factors, the cutting and feed speeds, the density of diamond grains on the wire, the workpiece thickness, and the fibre orientation of the CFRP material are analysed and discussed. For the tested parameter settings, it is found that while the influence of the grain density is negligible, workpiece thickness, cutting and feed speeds affect the process substantially. In addition, higher process forces and workpiece surface temperatures do not necessarily deteriorate the surface quality.

scholarly journals Cutting Performance of Different Coated Micro End Mills in Machining of Ti-6Al-4V

Micromachines ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 568 ◽  
Author(s):  
Zhiqiang Liang ◽  
Peng Gao ◽  
Xibin Wang ◽  
Shidi Li ◽  
Tianfeng Zhou ◽  
...  
Keyword(s):  
Tool Wear ◽  
Cutting Edge ◽  
Micro Milling ◽  
End Mill ◽  
Coating Materials ◽  
Edge Chipping ◽  
Workpiece Surface ◽  
Micro End Mill ◽  
End Mills ◽  
Flank Surface

Tool wear is a significant issue for the application of micro end mills. This can be significantly improved by coating materials on tool surfaces. This paper investigates the effects of different coating materials on tool wear in the micro milling of Ti-6Al-4V. A series of cutting experiments were conducted. The tool wear and workpiece surface morphology were investigated by analyzing the wear of the end flank surface and the total cutting edge. It was found that, without coating, serious tool wear and breakage occurred easily during milling. However, AlTiN-based and AlCrN-based coatings could highly reduce cutting edge chipping and flank wear. Specifically, The AlCrN-based coated mill presented less fracture resistance. For TiN coated micro end mill, only slight cutting edge chipping occurred. Compared with other types of tools, the AlTiN-based coated micro end mill could maximize tool life, bringing about an integrated cutting edges with the smallest surface roughness. In short, the AlTiN-based coating material is recommended for the micro end mill in the machining of Ti-6Al-4V.

Research on Tool Wear Based on Texture Fractal Dimension

2011 ◽  
Vol 66-68 ◽  
pp. 1163-1166
Author(s):  
Mao Jun Chen ◽  
Zhong Jin Ni ◽  
Liang Fang
Keyword(s):  
Fractal Dimension ◽  
Tool Wear ◽  
Surface Texture ◽  
Manufacturing Systems ◽  
Experimental Results ◽  
Machining Process ◽  
Work Piece ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Wear Condition

In automated manufacturing systems, one of the most important issues is the detection of tool wear during the machining process. The Hausdorff-Besicovitch (HB) dimension is used to analyze the feature of the surface texture of work-piece in this paper. The value of the fractal dimension of the work-piece surface texture tends to decrease with the machining process, due to the texture becoming more complex and irregular, and the tool wear is also becoming more and more serious. That can describe the inherent relationship between work-piece surface texture and tool wear. The experimental results demonstrate the probability of using the fractal dimension of work-piece surface texture to monitor the tool wear condition.

Schärfprozess beim Doppelseitenplanschleifen/Sharpening process during double face grinding - Influencing factors for sharpening in double face grinding with planetary kinematics

2020 ◽  
Vol 110 (06) ◽  
pp. 393-398
Author(s):  
Linus Lichtschlag ◽  
Eckart Uhlmann
Keyword(s):  
Influencing Factors ◽  
Scientific Investigation ◽  
High Quality ◽  
Grinding Processes ◽  
Surface Profiles ◽  
Face Grinding

Die Herstellung der Schneidfähigkeit der Schleifwerkzeuge bildet neben der Erzeugung ebener Schleifbelagsprofile die Grundlage effizienter und produktiver Schleifprozesse beim Doppelseitenplanschleifen mit Planetenkinematik. Zur wissenschaftlichen Durchdringung des meist erfahrungsbasiert ausgelegten, komplexen Schärfprozesses werden potenzielle Einflussgrößen und deren Effekte auf das Schärfergebnis systematisch analysiert.   The formation of the cutting ability of the grinding tools, in addition to the generation of flat grinding surface profiles, is the basis for high-quality and productive grinding processes in double face grinding with planetary kinematics. For the scientific investigation of the complex sharpening process, which are usually based on experience, potential influencing variables and their effects on the sharpening result are systematically analysed.

scholarly journals New Approach based on Autoencoders to Monitor the Tool Wear Condition in HSM

2019 ◽  
Vol 52 (11) ◽  
pp. 206-211 ◽  
Author(s):  
Luis Enrique Escajeda Ochoa ◽  
Israel Benjamin Ruiz Quinde ◽  
Jorge Patricio Chuya Sumba ◽  
Antonio Vallejo Guevara ◽  
Ruben Morales-Menendez
Keyword(s):  
Tool Wear ◽  
New Approach ◽  
Wear Condition

Adhesion Property and Tool Wear of Hybrid Deposited Ti0.67Al0.23Si0.09N Coatings with WC Grain Size and Co Content

2008 ◽  
Vol 5 (8) ◽  
pp. 1772-1776 ◽  
Author(s):  
Myung Chang Kang ◽  
Min Wook Kim ◽  
Kwang Ryul Kim ◽  
Kwang Ho Kim ◽  
Sung Yuen Jung ◽  
...  
Keyword(s):  
Grain Size ◽  
Tool Wear ◽  
Adhesion Property

Research on Tool Wear Form in Micro Turn-Milling Process

2012 ◽  
Vol 184-185 ◽  
pp. 663-667 ◽  
Author(s):  
Lin Hui Zhao ◽  
Jian Cheng Zhang ◽  
Wei Su
Keyword(s):  
Tool Wear ◽  
Small Diameter ◽  
Milling Process ◽  
Milling Tool ◽  
Key Factor ◽  
Part Surface ◽  
End Mills ◽  
Series Of Experiments ◽  
Turn Milling ◽  
Wear Condition

In micro machining, turn-milling tool wear is a key factor for part surface quality. This paper carries on experiments on end mills wear in micro turn-milling machining, aiming to research the wear form and provide some reference data for developing wear standard of small diameter end mills. To measure wear condition of end mills, machine vision technique is utilized. This paper designs and sets up an online end mill wear measurement system for a micro turn-milling process center. With a series of experiments on small diameter end mills, wear conditions of different cutting positions are researched. Based on analysis of experiment data, wear characteristics and wear rule for micro turn-milling process are summarized in this paper.

scholarly journals Modeling of Tool Wear in Vibration Assisted Nano Impact-Machining by Loose Abrasives

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Sagil James ◽  
Murali M. Sundaram
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Experimental Studies ◽  
Tool Wear Rate ◽  
Nanoscale Material ◽  
Workpiece Surface ◽  
Atomic Force ◽  
Hard And Brittle Materials ◽  
Afm Probe

Vibration assisted nano impact-machining by loose abrasives (VANILA) is a novel nanomachining process that combines the principles of vibration assisted abrasive machining and tip-based nanomachining, to perform target specific nanoabrasive machining of hard and brittle materials. An atomic force microscope (AFM) is used as a platform in this process wherein nanoabrasives, injected in slurry between the workpiece and the vibrating AFM probe which is the tool, impact the workpiece and cause nanoscale material removal. The VANILA process are conducted such that the tool tip does not directly contact the workpiece. The level of precision and quality of the machined features in a nanomachining process is contingent on the tool wear which is inevitable. Initial experimental studies have demonstrated reduced tool wear in the VANILA process as compared to indentation process in which the tool directly contacts the workpiece surface. In this study, the tool wear rate during the VANILA process is analytically modeled considering impacts of abrasive grains on the tool tip surface. Experiments are conducted using several tools in order to validate the predictions of the theoretical model. It is seen that the model is capable of accurately predicting the tool wear rate within 10% deviation.

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